{"id":96905,"date":"2026-08-28T17:17:34","date_gmt":"2026-08-28T09:17:34","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/96905.html"},"modified":"2026-08-28T17:17:34","modified_gmt":"2026-08-28T09:17:34","slug":"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%9f%ba%e7%a1%80%e6%a6%82%e5%bf%b5%e5%85%a8%e6%99%af%e8%a7%a3%e6%9e%90%ef%bc%9a%e4%bb%8e-ai-%e5%88%b0-transformer%e3%80%81llm%e3%80%81prompt%e3%80%81token","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/96905.html","title":{"rendered":"\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u6982\u5ff5\u5168\u666f\u89e3\u6790\uff1a\u4ece AI \u5230 Transformer\u3001LLM\u3001Prompt\u3001Token\u3001RAG\u3001Agent\u3001\u5bf9\u9f50\u4e0e\u5b89\u5168"},"content":{"rendered":"<p>\u4e00\u6587\u8bf4\u660e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684 20&#043; \u4e2a\u6838\u5fc3\u6982\u5ff5 \u2014\u2014 \u4e0d\u53ea\u662f\u5b9a\u4e49&#xff0c;\u800c\u662f\u6df1\u5165\u7406\u89e3\u6bcf\u4e2a\u6982\u5ff5\u80cc\u540e\u7684&#034;\u4e3a\u4ec0\u4e48&#034;<\/p>\n<hr \/>\n<h3>\u76ee\u5f55<\/h3>\n<li>\u5f15\u8a00&#xff1a;\u4e3a\u4ec0\u4e48\u9700\u8981\u7406\u89e3\u8fd9\u4e9b\u57fa\u7840\u6982\u5ff5<\/li>\n<li>\u4eba\u5de5\u667a\u80fd&#xff08;AI&#xff09;&#xff1a;\u6982\u5ff5\u3001\u672c\u8d28\u4e0e\u65e5\u5e38\u5e94\u7528<\/li>\n<li>AI \u53d1\u5c55\u7b80\u53f2&#xff1a;\u4ece\u56fe\u7075\u6d4b\u8bd5\u5230\u8d85\u7ea7\u667a\u80fd\u7684\u4e03\u5341\u5e74<\/li>\n<li>AI\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60&#xff1a;\u4e09\u5c42\u5173\u7cfb\u6df1\u5ea6\u62c6\u89e3<\/li>\n<li>Transformer \u67b6\u6784\u6df1\u5ea6\u89e3\u6790&#xff1a;\u5927\u8bed\u8a00\u6a21\u578b\u7684&#034;\u53d1\u52a8\u673a&#034;<\/li>\n<li>\u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM&#xff09;&#xff1a;\u6838\u5fc3\u6982\u5ff5\u4e0e\u4e3b\u6d41\u6a21\u578b\u76d8\u70b9<\/li>\n<li>Prompt&#xff08;\u63d0\u793a\u8bcd&#xff09;&#xff1a;\u7ed3\u6784\u3001\u7c7b\u578b\u4e0e\u5de5\u7a0b\u5316\u65b9\u6cd5<\/li>\n<li>\u63d0\u793a\u8bcd\u8bbe\u8ba1\u6280\u5de7&#xff1a;\u4ece\u57fa\u7840\u5230\u8fdb\u9636<\/li>\n<li>\u751f\u6210\u53c2\u6570\u8be6\u89e3&#xff1a;Temperature\u3001Top-P\u3001Top-K \u4e0e\u91c7\u6837\u7b56\u7565<\/li>\n<li>Token&#xff08;\u8bcd\u5143&#xff09;&#xff1a;\u8ba1\u8d39\u5355\u4f4d\u3001\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e0e\u6a21\u578b\u7406\u89e3\u80fd\u529b\u7684\u57fa\u77f3<\/li>\n<li>\u4f1a\u8bdd\u8bb0\u5fc6&#xff08;Chat Memory&#xff09;&#xff1a;\u8ba9\u5bf9\u8bdd\u4fdd\u6301\u8fde\u8d2f\u7684\u6838\u5fc3\u673a\u5236<\/li>\n<li>\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;Context Window&#xff09;&#xff1a;\u4ece&#034;\u80cc\u5305\u5bb9\u91cf&#034;\u7406\u89e3\u6a21\u578b\u8bb0\u5fc6\u8fb9\u754c<\/li>\n<li>\u591a\u6a21\u6001&#xff08;Multimodal&#xff09;&#xff1a;\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u3001\u89c6\u9891\u7684\u878d\u5408\u667a\u80fd<\/li>\n<li>RAG&#xff08;\u68c0\u7d22\u589e\u5f3a\u751f\u6210&#xff09;&#xff1a;\u7ed9 AI \u88c5\u4e0a&#034;\u5916\u6302\u5927\u8111&#034;<\/li>\n<li>Embedding \u4e0e\u5411\u91cf\u6570\u636e\u5e93&#xff1a;AI \u7406\u89e3\u8bed\u4e49\u7684&#034;\u6570\u5b57\u5bc6\u7801&#034;<\/li>\n<li>\u6a21\u578b\u8bad\u7ec3\u4e0e\u5fae\u8c03&#xff1a;\u4ece\u9884\u8bad\u7ec3\u5230\u5bf9\u9f50\u7684\u5b8c\u6574\u6280\u672f\u6808<\/li>\n<li>AI \u6a21\u578b\u8bc4\u6d4b\u4f53\u7cfb&#xff1a;\u5982\u4f55\u5224\u65ad\u4e00\u4e2a\u6a21\u578b&#034;\u597d\u4e0d\u597d&#034;<\/li>\n<li>AI Agent \u67b6\u6784&#xff1a;\u4ece\u5355\u5175\u4f5c\u6218\u5230\u591a\u667a\u80fd\u4f53\u534f\u4f5c<\/li>\n<li>AI \u5e7b\u89c9\u6df1\u5ea6\u89e3\u6790&#xff1a;\u4e3a\u4ec0\u4e48 AI \u4f1a&#034;\u4e00\u672c\u6b63\u7ecf\u5730\u80e1\u8bf4\u516b\u9053&#034;<\/li>\n<li>AI \u5b89\u5168\u3001\u5bf9\u9f50\u4e0e\u4f26\u7406&#xff1a;\u8ba9 AI \u5411\u5584\u7684\u5173\u952e\u8bae\u9898<\/li>\n<li>Vibe Coding \u6df1\u5165&#xff1a;\u4ece\u6982\u5ff5\u5230\u5b9e\u8df5\u7684\u5168\u666f\u89e3\u6790<\/li>\n<li>\u603b\u7ed3&#xff1a;\u4e00\u5f20\u56fe\u770b\u6e05\u6838\u5fc3\u6982\u5ff5\u4e4b\u95f4\u7684\u5173\u7cfb<\/li>\n<hr \/>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091722-6a915222c4ac7.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h3>\u4e00\u3001\u5f15\u8a00&#xff1a;\u4e3a\u4ec0\u4e48\u9700\u8981\u7406\u89e3\u8fd9\u4e9b\u57fa\u7840\u6982\u5ff5<\/h3>\n<p>hello \u5927\u5bb6&#xff0c;\u6211\u4eec\u90fd\u77e5\u9053&#xff0c;\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u53d1\u5c55\u901f\u5ea6\u4e4b\u5feb&#xff0c;\u8ba9&#034;\u8ddf\u4e0a\u8282\u594f&#034;\u672c\u8eab\u6210\u4e86\u4e00\u4ef6\u96be\u4e8b\u30022025 \u5e74 GPT-4o \u8fd8\u5728\u8ba9\u5f00\u53d1\u8005\u60ca\u53f9&#xff0c;2026 \u5e74 GPT-5.5\u3001Claude Opus 4.6\u3001DeepSeek V4\u3001Gemini 3.1 Pro \u5df2\u7ecf\u8ba9\u4eba\u5e94\u63a5\u4e0d\u6687\u3002\u5404\u79cd\u65b0\u540d\u8bcd\u3001\u65b0\u6982\u5ff5\u3001\u65b0\u6846\u67b6\u5c42\u51fa\u4e0d\u7a77&#xff0c;\u4ece\u4e1a\u8005\u5f88\u5bb9\u6613\u9677\u5165&#034;\u4f1a\u7528\u4f46\u4e0d\u77e5\u9053\u4e3a\u4ec0\u4e48\u8fd9\u6837\u7528&#034;\u7684\u56f0\u5883\u3002<\/p>\n<p>\u6240\u4ee5&#xff0c;\u4e3a\u4e86\u5e2e\u52a9\u5927\u5bb6\u7406\u89e3\u8fd9\u4e9b\u548cai\u6709\u5173\u7684\u6982\u5ff5&#xff0c;\u4fbf\u6709\u4e86\u8fd9\u7bc7\u6587\u7ae0&#xff5e;&#xff5e;<\/p>\n<p>\u8fd9\u7bc7\u6587\u7ae0\u8986\u76d6\u7684\u5185\u5bb9\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>AI \u662f\u4ec0\u4e48&#xff1a;\u4ece\u65e5\u5e38\u4f53\u9a8c\u5230\u6280\u672f\u672c\u8d28&#xff0c;\u7406\u89e3\u4eba\u5de5\u667a\u80fd\u7684&#034;\u667a\u80fd&#034;\u5230\u5e95\u610f\u5473\u7740\u4ec0\u4e48<\/li>\n<li>AI \u53d1\u5c55\u7b80\u53f2&#xff1a;\u4ece 1950 \u5e74\u56fe\u7075\u6d4b\u8bd5\u5230 2026 \u5e74\u5927\u6a21\u578b\u519b\u5907\u7ade\u8d5b&#xff0c;\u4e03\u5341\u5e74\u98ce\u96e8\u5386\u7a0b\u4e2d\u7684\u4e09\u5927\u6559\u8bad<\/li>\n<li>AI \/ ML \/ DL \u4e09\u5c42\u5173\u7cfb&#xff1a;\u4e3a\u4ec0\u4e48\u6df1\u5ea6\u5b66\u4e60\u662f\u673a\u5668\u5b66\u4e60\u7684\u5206\u652f&#xff0c;\u800c\u673a\u5668\u5b66\u4e60\u662f AI \u7684\u6838\u5fc3\u5b9e\u73b0\u65b9\u5f0f<\/li>\n<li>Transformer \u67b6\u6784\u6df1\u5ea6\u89e3\u6790&#xff1a;\u81ea\u6ce8\u610f\u529b\u673a\u5236\u3001QKV \u77e9\u9635\u3001\u591a\u5934\u6ce8\u610f\u529b\u3001\u4f4d\u7f6e\u7f16\u7801\u2014\u2014\u5927\u8bed\u8a00\u6a21\u578b\u7684&#034;\u53d1\u52a8\u673a&#034;<\/li>\n<li>LLM \u5927\u8bed\u8a00\u6a21\u578b&#xff1a;GPT-5.5\u3001Claude Opus 4.6\u3001Gemini 3.1 Pro\u3001DeepSeek V4 \u7b49\u4e3b\u6d41\u6a21\u578b\u7684\u80fd\u529b\u8fb9\u754c\u548c\u9002\u7528\u573a\u666f<\/li>\n<li>Prompt \u63d0\u793a\u8bcd&#xff1a;CO-STAR \u6846\u67b6\u3001\u7cfb\u7edf\u63d0\u793a\u8bcd\u4e0e\u7528\u6237\u63d0\u793a\u8bcd\u7684\u533a\u522b\u3001\u63d0\u793a\u8bcd\u5de5\u7a0b\u7684\u6838\u5fc3\u601d\u60f3<\/li>\n<li>\u63d0\u793a\u8bcd\u8bbe\u8ba1\u6280\u5de7&#xff1a;\u4ece\u89d2\u8272\u63d0\u793a\u5230\u94fe\u5f0f\u601d\u8003&#xff08;CoT&#xff09;\u3001\u81ea\u6211\u4e00\u81f4\u6027\u3001\u8fed\u4ee3\u4f18\u5316\u7b56\u7565<\/li>\n<li>\u751f\u6210\u53c2\u6570\u8be6\u89e3&#xff1a;Temperature\u3001Top-P\u3001Top-K\u3001Repetition Penalty\u2014\u2014\u5982\u4f55\u7cbe\u51c6\u63a7\u5236\u6a21\u578b\u7684&#034;\u521b\u9020\u529b&#034;<\/li>\n<li>Token \u8bcd\u5143&#xff1a;\u8ba1\u8d39\u5355\u4f4d\u3001\u4e0a\u4e0b\u6587\u7a97\u53e3\u9650\u5236\u3001\u5206\u8bcd\u5668\u7684\u5de5\u4f5c\u539f\u7406\u3001Token \u4f18\u5316\u7b56\u7565<\/li>\n<li>\u4f1a\u8bdd\u8bb0\u5fc6\u4e0e\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff1a;\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u3001\u5404\u81ea\u7684\u9650\u5236\u548c\u5b9e\u9645\u5f71\u54cd<\/li>\n<li>\u591a\u6a21\u6001&#xff1a;\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u3001\u89c6\u9891\u7684\u878d\u5408\u6280\u672f\u53ca\u5176\u5178\u578b\u5e94\u7528<\/li>\n<li>RAG \u68c0\u7d22\u589e\u5f3a\u751f\u6210&#xff1a;\u6838\u5fc3\u539f\u7406\u3001\u5411\u91cf\u6570\u636e\u5e93\u3001Embedding\u3001Graph RAG\u3001Agentic RAG<\/li>\n<li>Embedding \u4e0e\u5411\u91cf\u6570\u636e\u5e93&#xff1a;\u8bed\u4e49\u641c\u7d22\u7684\u6838\u5fc3\u6280\u672f\u3001\u4e3b\u6d41\u6a21\u578b\u4e0e\u6570\u636e\u5e93\u9009\u578b\u5bf9\u6bd4<\/li>\n<li>\u6a21\u578b\u8bad\u7ec3\u4e0e\u5fae\u8c03&#xff1a;\u9884\u8bad\u7ec3\u3001SFT\u3001RLHF\u3001DPO\u3001RLAIF\u3001LoRA \u7684\u5b8c\u6574\u6280\u672f\u6808<\/li>\n<li>AI \u6a21\u578b\u8bc4\u6d4b\u4f53\u7cfb&#xff1a;MMLU\u3001HumanEval\u3001SWE-bench\u3001GPQA\u3001Chatbot Arena<\/li>\n<li>AI Agent \u67b6\u6784&#xff1a;\u4ece\u5355\u667a\u80fd\u4f53\u5230\u591a\u667a\u80fd\u4f53\u534f\u4f5c&#xff0c;LangGraph\u3001CrewAI\u3001AutoGen \u7b49\u6846\u67b6<\/li>\n<li>AI \u5e7b\u89c9&#xff1a;\u6210\u56e0\u3001\u7c7b\u578b\u3001\u68c0\u6d4b\u4e0e\u7f13\u89e3\u7b56\u7565<\/li>\n<li>AI \u5b89\u5168\u4e0e\u4f26\u7406&#xff1a;\u5bf9\u9f50\u6280\u672f\u3001\u504f\u89c1\u95ee\u9898\u3001\u5168\u7403\u76d1\u7ba1\u6cd5\u89c4<\/li>\n<\/ul>\n<hr \/>\n<h3>\u4e8c\u3001\u4eba\u5de5\u667a\u80fd&#xff08;AI&#xff09;&#xff1a;\u6982\u5ff5\u3001\u672c\u8d28\u4e0e\u65e5\u5e38\u5e94\u7528<\/h3>\n<h4>2.1 \u4eba\u5de5\u667a\u80fd\u7684\u5b9a\u4e49<\/h4>\n<p>\u4eba\u5de5\u667a\u80fd&#xff08;Artificial Intelligence&#xff0c;\u7b80\u79f0 AI&#xff09;&#xff0c;\u662f\u6307\u901a\u8fc7\u8ba1\u7b97\u673a\u7cfb\u7edf\u6a21\u62df\u4eba\u7c7b\u667a\u80fd\u7684\u6280\u672f\u3002\u5b83\u7684\u672c\u8d28\u662f&#xff1a;\u8ba9\u673a\u5668\u901a\u8fc7\u7b97\u6cd5\u548c\u6570\u636e&#xff0c;\u5177\u5907\u7c7b\u4f3c\u4eba\u7c7b\u7684\u8ba4\u77e5\u548c\u601d\u7ef4\u80fd\u529b&#xff0c;\u4ece\u800c\u5b8c\u6210\u5b66\u4e60\u3001\u63a8\u7406\u3001\u51b3\u7b56\u7b49\u590d\u6742\u4efb\u52a1\u3002<\/p>\n<p>\u8fd9\u4e2a\u5b9a\u4e49\u4e2d\u6709\u4e09\u4e2a\u5173\u952e\u8bcd\u503c\u5f97\u5c55\u5f00&#xff1a;<\/p>\n<ul>\n<li>\u6a21\u62df&#xff1a;AI \u4e0d\u662f&#034;\u590d\u5236&#034;\u4eba\u7c7b\u667a\u80fd&#xff0c;\u800c\u662f\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a\u8fbe\u5230\u6216\u8d85\u8d8a\u4eba\u7c7b\u6c34\u5e73\u7684\u8868\u73b0\u3002\u4e00\u4e2a\u80fd\u4e0b\u56f4\u68cb\u8d62\u8fc7\u4e16\u754c\u51a0\u519b\u7684 AI&#xff08;AlphaGo&#xff09;&#xff0c;\u5e76\u4e0d\u5177\u5907&#034;\u997f\u4e86\u8981\u5403\u996d&#034;\u7684\u5e38\u8bc6\u3002\u8fd9\u79cd&#034;\u7a84\u9886\u57df\u8d85\u5f3a\u3001\u5bbd\u9886\u57df\u5f88\u5f31&#034;\u662f\u5f53\u524d AI \u7684\u5178\u578b\u7279\u5f81\u3002<\/li>\n<li>\u7b97\u6cd5\u548c\u6570\u636e&#xff1a;AI \u7684\u667a\u80fd\u6765\u81ea\u4e24\u4e2a\u6e90\u5934\u2014\u2014\u7b97\u6cd5&#xff08;\u600e\u4e48\u505a&#xff09;\u548c\u6570\u636e&#xff08;\u5b66\u4ec0\u4e48&#xff09;\u3002\u7b97\u6cd5\u51b3\u5b9a\u4e86\u6a21\u578b\u7684\u5b66\u4e60\u65b9\u5f0f\u548c\u80fd\u529b\u4e0a\u9650&#xff0c;\u6570\u636e\u51b3\u5b9a\u4e86\u6a21\u578b\u5b66\u5230\u7684\u5177\u4f53\u77e5\u8bc6\u548c\u6a21\u5f0f\u3002\u4e24\u8005\u7f3a\u4e00\u4e0d\u53ef\u3002<\/li>\n<li>\u7c7b\u4eba\u80fd\u529b&#xff1a;\u5305\u62ec\u611f\u77e5&#xff08;\u770b\u3001\u542c&#xff09;\u3001\u8ba4\u77e5&#xff08;\u7406\u89e3\u3001\u63a8\u7406&#xff09;\u3001\u51b3\u7b56&#xff08;\u9009\u62e9\u3001\u89c4\u5212&#xff09;\u3001\u884c\u52a8&#xff08;\u6267\u884c\u3001\u751f\u6210&#xff09;\u3002\u4e0d\u540c\u7684 AI \u7cfb\u7edf\u5728\u8fd9\u4e9b\u80fd\u529b\u4e0a\u7684\u4fa7\u91cd\u4e0d\u540c\u3002<\/li>\n<\/ul>\n<h4>2.2 \u65e5\u5e38\u751f\u6d3b\u4e2d\u7684 AI<\/h4>\n<p>\u4e0e\u5176\u4ece\u62bd\u8c61\u5b9a\u4e49\u51fa\u53d1&#xff0c;\u4e0d\u5982\u4ece\u65e5\u5e38\u4f53\u9a8c\u5165\u624b&#xff0c;\u8fd9\u80fd\u66f4\u76f4\u89c2\u5730\u7406\u89e3 AI \u7684\u5b9e\u9645\u5f62\u6001&#xff1a;<\/p>\n<p>\u5185\u5bb9\u63a8\u8350&#xff1a;\u6253\u5f00\u6296\u97f3\u3001\u5c0f\u7ea2\u4e66\u3001B\u7ad9&#xff0c;\u5237\u5230\u7684\u5185\u5bb9\u8d8a\u6765\u8d8a\u7b26\u5408\u4f60\u7684\u53e3\u5473\u3002\u8fd9\u4e0d\u662f\u5de7\u5408&#xff0c;\u800c\u662f\u63a8\u8350\u7b97\u6cd5\u5728\u4e0d\u65ad&#034;\u5b66\u4e60&#034;\u4f60\u7684\u884c\u4e3a\u6a21\u5f0f\u2014\u2014\u4f60\u770b\u4e86\u4ec0\u4e48\u3001\u505c\u7559\u4e86\u591a\u4e45\u3001\u70b9\u8d5e\u4e86\u54ea\u4e9b\u3001\u5206\u4eab\u4e86\u4ec0\u4e48\u3002\u6bcf\u4e00\u6b21\u4ea4\u4e92\u90fd\u5728\u66f4\u65b0\u6a21\u578b\u5bf9\u4f60\u7684&#034;\u7406\u89e3&#034;&#xff0c;\u8ba9\u4f60\u770b\u5230\u7684\u4e0b\u4e00\u9875\u5185\u5bb9\u66f4\u53ef\u80fd\u8ba9\u4f60\u7ee7\u7eed\u5237\u4e0b\u53bb\u3002\u8fd9\u5c31\u662f AI \u5728&#034;\u5b66\u4e60&#034;\u548c&#034;\u9884\u6d4b&#034;\u3002<\/p>\n<p>\u8bed\u97f3\u52a9\u624b&#xff1a;\u5bf9\u7740 Siri\u3001\u5c0f\u7231\u540c\u5b66\u3001\u5929\u732b\u7cbe\u7075\u8bf4\u8bdd&#xff0c;\u5b83\u4eec\u80fd\u542c\u61c2\u4f60\u5728\u8bb2\u4ec0\u4e48&#xff0c;\u8fd8\u80fd\u7528\u81ea\u7136\u8bed\u8a00\u56de\u7b54\u4f60\u3002\u8fd9\u5957\u6d41\u7a0b\u80cc\u540e\u662f\u4e09\u4e2a AI \u7cfb\u7edf\u7684\u534f\u4f5c&#xff1a;\u8bed\u97f3\u8bc6\u522b&#xff08;ASR&#xff09;\u628a\u58f0\u97f3\u53d8\u6210\u6587\u5b57&#xff0c;\u81ea\u7136\u8bed\u8a00\u7406\u89e3&#xff08;NLU&#xff09;\u7406\u89e3\u6587\u5b57\u7684\u542b\u4e49\u548c\u610f\u56fe&#xff0c;\u81ea\u7136\u8bed\u8a00\u751f\u6210&#xff08;NLG&#xff09;\u548c\u8bed\u97f3\u5408\u6210&#xff08;TTS&#xff09;\u628a\u56de\u7b54\u53d8\u6210\u58f0\u97f3\u3002\u8fd9\u5c31\u662f AI \u5728&#034;\u542c&#034;\u548c&#034;\u8bf4&#034;\u3002<\/p>\n<p>\u89c6\u89c9\u8bc6\u522b&#xff1a;\u62cd\u7167\u81ea\u52a8\u8bc6\u522b\u4eba\u8138\u3001\u7f8e\u989c\u6ee4\u955c\u7cbe\u51c6\u5b9a\u4f4d\u4e94\u5b98\u3001OCR \u628a\u56fe\u7247\u4e2d\u7684\u6587\u5b57\u63d0\u53d6\u51fa\u6765\u3001\u7ffb\u8bd1\u8f6f\u4ef6\u5bf9\u51c6\u8def\u724c\u5c31\u80fd\u5b9e\u65f6\u7ffb\u8bd1\u3002\u8fd9\u4e9b\u90fd\u662f\u8ba1\u7b97\u673a\u89c6\u89c9&#xff08;Computer Vision&#xff09;\u7684\u5178\u578b\u5e94\u7528\u2014\u2014AI \u5728&#034;\u770b&#034;\u548c&#034;\u7406\u89e3&#034;\u3002<\/p>\n<p>AI \u751f\u6210\u5185\u5bb9&#xff1a;\u8f93\u5165\u4e00\u6bb5\u6587\u5b57\u63cf\u8ff0&#xff0c;AI \u5c31\u80fd\u751f\u6210\u4e00\u5f20\u903c\u771f\u7684\u56fe\u7247\u3001\u4e00\u6bb5\u89c6\u9891\u3001\u4e00\u9996\u97f3\u4e50\u3002\u6bd4\u5982 Sora&#xff08;OpenAI&#xff09;\u3001\u5373\u68a6&#xff08;\u5b57\u8282\u8df3\u52a8&#xff09;\u3001\u53ef\u7075&#xff08;\u5feb\u624b&#xff09;\u7b49\u5de5\u5177&#xff0c;\u8f93\u5165&#034;\u4e00\u53ea\u732b\u5728\u6708\u7403\u4e0a\u5f39\u94a2\u7434&#034;&#xff0c;\u5c31\u80fd\u751f\u6210\u5bf9\u5e94\u7684\u89c6\u9891\u3002\u8fd9\u5c31\u662f AI \u5728\u7406\u89e3\u6587\u5b57\u5e76\u521b\u4f5c\u751f\u6210\u5185\u5bb9\u3002<\/p>\n<p>\u81ea\u52a8\u9a7e\u9a76&#xff1a;\u65b0\u80fd\u6e90\u6c7d\u8f66\u5728\u9ad8\u901f\u516c\u8def\u4e0a\u81ea\u52a8\u8ddf\u8f66\u3001\u53d8\u9053\u3001\u907f\u969c\u3002\u8f66\u8f86\u901a\u8fc7\u6444\u50cf\u5934\u3001\u96f7\u8fbe\u3001\u6fc0\u5149\u96f7\u8fbe\u611f\u77e5\u5468\u56f4\u73af\u5883&#xff0c;\u901a\u8fc7 AI \u7b97\u6cd5\u5b9e\u65f6\u5224\u65ad&#xff1a;\u524d\u65b9\u8f66\u8f86\u51cf\u901f\u4e86\u8981\u4e0d\u8981\u5239\u8f66\u3001\u65c1\u8fb9\u8f66\u9053\u6709\u7a7a\u95f4\u8981\u4e0d\u8981\u53d8\u9053\u3001\u8fd9\u4e2a\u8def\u53e3\u80fd\u4e0d\u80fd\u5de6\u8f6c\u3002\u8fd9\u5c31\u662f AI \u5728&#034;\u601d\u8003&#034;\u548c&#034;\u505a\u51b3\u7b56&#034;\u3002<\/p>\n<h4>2.3 AI \u5e94\u7528 vs AI \u7b97\u6cd5 vs AI \u6a21\u578b<\/h4>\n<p>\u8fd9\u4e09\u4e2a\u8bcd\u7ecf\u5e38\u88ab\u6df7\u7528&#xff0c;\u4f46\u5b83\u4eec\u7684\u542b\u4e49\u6709\u660e\u786e\u7684\u533a\u522b&#xff1a;<\/p>\n<ul>\n<li>AI \u5e94\u7528&#xff1a;\u628a AI \u80fd\u529b\u8fd0\u7528\u5230\u5177\u4f53\u4e1a\u52a1\u548c\u5b9e\u9645\u573a\u666f\u4e2d&#xff0c;\u4ee5\u4ea7\u54c1\u6216\u7cfb\u7edf\u7684\u5f62\u5f0f\u843d\u5730\u3002\u6bd4\u5982\u8c46\u5305\u3001Cursor\u3001\u81ea\u52a8\u9a7e\u9a76\u8f85\u52a9\u7cfb\u7edf\u3001\u667a\u80fd\u5ba2\u670d\u673a\u5668\u4eba\u3002AI \u5e94\u7528\u662f&#034;\u7528\u6237\u80fd\u76f4\u63a5\u4f7f\u7528\u7684\u4e1c\u897f&#034;\u3002<\/li>\n<li>AI \u7b97\u6cd5&#xff1a;\u8ba1\u7b97\u673a\u6a21\u4eff\u4eba\u7c7b\u601d\u8003\u3001\u5b66\u4e60\u3001\u5224\u65ad\u65f6&#xff0c;\u9075\u5faa\u7684\u6570\u5b66\u516c\u5f0f\u548c\u6267\u884c\u6d41\u7a0b\u3002\u5b83\u662f\u5b9e\u73b0 AI \u80fd\u529b\u7684\u5177\u4f53\u65b9\u6cd5\u548c\u903b\u8f91\u3002\u53ef\u4ee5\u628a AI \u7b97\u6cd5\u7406\u89e3\u4e3a AI \u7684&#034;\u5927\u8111\u903b\u8f91&#034;\u2014\u2014\u540c\u6837\u7684\u6570\u636e&#xff0c;\u4e0d\u540c\u7684\u7b97\u6cd5\u4f1a\u4ea7\u751f\u4e0d\u540c\u7684\u5b66\u4e60\u6548\u679c\u548c\u8f93\u51fa\u8d28\u91cf\u3002<\/li>\n<li>AI \u6a21\u578b&#xff1a;\u7528\u7279\u5b9a\u7b97\u6cd5\u5728\u7279\u5b9a\u6570\u636e\u4e0a\u8bad\u7ec3\u51fa\u6765\u7684\u4ea7\u7269\u3002\u6a21\u578b &#061; \u7b97\u6cd5 &#043; \u8bad\u7ec3\u6570\u636e &#043; \u8bad\u7ec3\u8fc7\u7a0b\u3002\u540c\u4e00\u4e2a\u7b97\u6cd5&#xff08;\u5982 Transformer&#xff09;&#xff0c;\u7528\u4e0d\u540c\u7684\u6570\u636e\u8bad\u7ec3&#xff0c;\u4f1a\u5f97\u5230\u4e0d\u540c\u7684\u6a21\u578b&#xff08;\u5982 GPT \u7528\u4e8e\u82f1\u6587\u3001Qwen \u7528\u4e8e\u4e2d\u82f1\u6587&#xff09;\u3002<\/li>\n<\/ul>\n<p>\u5e38\u89c1\u7684 AI \u7b97\u6cd5\u5305\u62ec&#xff1a;\u7ebf\u6027\u56de\u5f52\u3001\u903b\u8f91\u56de\u5f52\u3001\u51b3\u7b56\u6811\u4e0e\u968f\u673a\u68ee\u6797\u3001\u652f\u6301\u5411\u91cf\u673a&#xff08;SVM&#xff09;\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc&#xff08;CNN&#xff09;\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc&#xff08;RNN&#xff09;\u3001Transformer&#xff08;\u5f53\u524d\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u67b6\u6784&#xff09;\u3002<\/p>\n<h4>2.4 Agent&#xff08;\u667a\u80fd\u4f53&#xff09;\u4e0e Copilot&#xff08;\u526f\u9a7e\u9a76&#xff09;<\/h4>\n<p>**Agent&#xff08;\u667a\u80fd\u4f53&#xff09;**\u662f\u4e00\u4e2a\u80fd\u591f\u611f\u77e5\u73af\u5883\u8f93\u5165\u3001\u81ea\u4e3b\u51b3\u7b56\u3001\u89c4\u5212\u884c\u52a8\u8def\u5f84&#xff0c;\u5e76\u53ef\u8c03\u7528\u5de5\u5177\u6216\u6267\u884c\u64cd\u4f5c\u4ee5\u8fbe\u6210\u76ee\u6807\u7684\u81ea\u4e3b\u6027\u8f6f\u4ef6\u5b9e\u4f53\u3002<\/p>\n<p>Copilot&#xff08;\u526f\u9a7e\u9a76&#xff09;\u6a21\u5f0f\u4e0e Agent \u6a21\u5f0f\u7684\u6838\u5fc3\u533a\u522b\u5728\u4e8e\u63a7\u5236\u6743\u5f52\u5c5e&#xff1a;<\/p>\n<table>\n<tr>\u7ef4\u5ea6Copilot \u6a21\u5f0fAgent \u6a21\u5f0f<\/tr>\n<tbody>\n<tr>\n<td>\u63a7\u5236\u6743<\/td>\n<td>\u4eba\u4e3b\u5bfc&#xff0c;AI \u63d0\u4f9b\u5efa\u8bae<\/td>\n<td>AI \u81ea\u4e3b\u89c4\u5212\u548c\u6267\u884c<\/td>\n<\/tr>\n<tr>\n<td>\u51b3\u7b56\u65b9\u5f0f<\/td>\n<td>\u4eba\u51b3\u5b9a\u662f\u5426\u91c7\u7eb3 AI \u7684\u5efa\u8bae<\/td>\n<td>AI \u81ea\u4e3b\u51b3\u5b9a\u884c\u52a8\u6b65\u9aa4<\/td>\n<\/tr>\n<tr>\n<td>\u5178\u578b\u573a\u666f<\/td>\n<td>ChatGPT \u666e\u901a\u95ee\u7b54\u3001Cursor Ask \u6a21\u5f0f<\/td>\n<td>Cursor Agent \u6a21\u5f0f\u3001AutoClaw \u6d4f\u89c8\u5668\u81ea\u52a8\u5316<\/td>\n<\/tr>\n<tr>\n<td>\u4ea4\u4e92\u65b9\u5f0f<\/td>\n<td>\u201c\u6211\u63d0\u95ee\u9898&#xff0c;\u4f60\u7ed9\u6211\u5efa\u8bae&#xff0c;\u6211\u51b3\u5b9a\u505a\u4e0d\u505a\u201d<\/td>\n<td>\u201c\u6211\u63d0\u76ee\u6807&#xff0c;\u4f60\u81ea\u5df1\u60f3\u529e\u6cd5\u5b8c\u6210&#xff0c;\u5411\u6211\u6c47\u62a5\u7ed3\u679c\u201d<\/td>\n<\/tr>\n<tr>\n<td>\u98ce\u9669<\/td>\n<td>\u4f4e&#xff08;\u4eba\u5728\u56de\u8def\u4e2d&#xff09;<\/td>\n<td>\u4e2d\u5230\u9ad8&#xff08;AI \u81ea\u4e3b\u6267\u884c&#xff0c;\u9700\u8981\u5b89\u5168\u673a\u5236&#xff09;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4e3e\u4e2a\u4f8b\u5b50\u6765\u8bf4\u660e\u4e24\u8005\u7684\u533a\u522b&#xff1a;<\/p>\n<ul>\n<li>Copilot \u6a21\u5f0f&#xff1a;\u4f60\u5bf9 AI \u8bf4&#034;\u5e2e\u6211\u770b\u770b\u8fd9\u6bb5\u4ee3\u7801\u6709\u4ec0\u4e48\u95ee\u9898&#034;&#xff0c;AI \u5206\u6790\u540e\u7ed9\u51fa\u5efa\u8bae&#xff0c;\u4f60\u770b\u4e86\u89c9\u5f97\u6709\u9053\u7406&#xff0c;\u624b\u52a8\u4fee\u6539\u4ee3\u7801\u3002<\/li>\n<li>Agent \u6a21\u5f0f&#xff1a;\u4f60\u5bf9 AI \u8bf4&#034;\u5e2e\u6211\u628a\u8fd9\u4e2a\u9879\u76ee\u4e2d\u7684\u6240\u6709 TODO \u6ce8\u91ca\u66ff\u6362\u6210\u5bf9\u5e94\u7684 Issue \u94fe\u63a5&#xff0c;\u7136\u540e\u63d0\u4ea4 PR&#034;&#xff0c;AI \u81ea\u5df1\u641c\u7d22\u6587\u4ef6\u3001\u66ff\u6362\u5185\u5bb9\u3001\u6267\u884c git \u64cd\u4f5c\u3001\u521b\u5efa PR&#xff0c;\u6700\u540e\u544a\u8bc9\u4f60&#034;\u5b8c\u6210\u4e86&#xff0c;\u8fd9\u662f PR \u94fe\u63a5&#034;\u3002<\/li>\n<\/ul>\n<p>\u5728\u5f53\u4e0b&#xff0c;agent\u6beb\u65e0\u7591\u95ee\u662f\u4e3b\u6d41\u5b58\u5728\u3002<\/p>\n<h4>2.5 Vibe Coding&#xff08;AI \u7f16\u7a0b&#xff09;<\/h4>\n<p>Vibe Coding \u662f\u4e00\u79cd\u4ee5\u81ea\u7136\u8bed\u8a00\u9a71\u52a8\u7684\u8f6f\u4ef6\u5f00\u53d1\u65b9\u5f0f\u3002\u5f00\u53d1\u8005\u901a\u8fc7\u63cf\u8ff0\u9700\u6c42\u6216\u610f\u56fe&#xff0c;\u501f\u52a9\u5927\u8bed\u8a00\u6a21\u578b\u81ea\u52a8\u751f\u6210\u3001\u4fee\u6539\u4ee3\u7801&#xff0c;\u4ece\u800c\u5b8c\u6210\u5f00\u53d1\u4efb\u52a1\u3002\u5f00\u53d1\u8005\u53ea\u7ba1\u9a8c\u6536\u3001\u53cd\u9988\u3001\u8fed\u4ee3&#xff0c;\u5feb\u901f\u628a\u60f3\u6cd5\u53d8\u6210\u53ef\u8fd0\u884c\u7a0b\u5e8f\u3002<\/p>\n<p>\u8fd9\u4e2a\u6982\u5ff5\u5728 2025-2026 \u5e74\u8fc5\u901f\u6210\u4e3a\u4e3b\u6d41\u5f00\u53d1\u65b9\u5f0f\u4e4b\u4e00\u3002\u5b83\u7684\u6838\u5fc3\u8f6c\u53d8\u662f&#xff1a;\u4ece&#034;\u5199\u4ee3\u7801&#034;\u5230&#034;\u63cf\u8ff0\u9700\u6c42&#034;\u3002\u4ee5\u524d\u662f&#034;\u6211\u77e5\u9053\u600e\u4e48\u5b9e\u73b0&#xff0c;\u6211\u6765\u5199&#034;&#xff0c;\u73b0\u5728\u662f&#034;\u6211\u77e5\u9053\u8981\u4ec0\u4e48\u6548\u679c&#xff0c;AI \u6765\u5b9e\u73b0&#034;\u3002<\/p>\n<p>\u5173\u4e8evibe coding&#xff0c;\u6211\u4e4b\u524d\u4e5f\u6709\u4e00\u7bc7\u6587\u7ae0\u4e13\u95e8\u8bb2\u5230&#xff0c;\u5927\u5bb6\u6709\u5174\u8da3\u7684\u53ef\u4ee5\u53bb\u770b\u770b<\/p>\n<p>\u5e38\u7528\u7684 Vibe Coding \u5de5\u5177\u6309\u7c7b\u522b\u5206&#xff1a;<\/p>\n<p>AI \u539f\u751f IDE&#xff08;\u65e5\u5e38\u5f00\u53d1\u4e3b\u529b&#xff0c;\u5728\u7f16\u8f91\u5668\u5185\u6df1\u5ea6\u96c6\u6210 AI&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u5de5\u5177\u7279\u70b9\u5730\u5740<\/tr>\n<tbody>\n<tr>\n<td>Cursor<\/td>\n<td>\u57fa\u4e8e VS Code&#xff0c;Agent \u6a21\u5f0f\u652f\u6301\u81ea\u4e3b\u7f16\u7a0b&#xff0c;Composer \u529f\u80fd\u5f3a\u5927<\/td>\n<td>cursor.sh<\/td>\n<\/tr>\n<tr>\n<td>Windsurf<\/td>\n<td>Codeium \u51fa\u54c1&#xff0c;Flow \u6a21\u5f0f\u81ea\u52a8\u5206\u6790\u4e0a\u4e0b\u6587\u5e76\u6267\u884c\u591a\u6b65\u64cd\u4f5c<\/td>\n<td>windsurf.com<\/td>\n<\/tr>\n<tr>\n<td>Trae<\/td>\n<td>\u5b57\u8282\u8df3\u52a8\u51fa\u54c1&#xff0c;\u5185\u7f6e Builder \u6a21\u5f0f&#xff0c;\u4e2d\u6587\u4f53\u9a8c\u4f18\u79c0<\/td>\n<td>trae.ai<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>CLI \u5de5\u5177&#xff08;\u7ec8\u7aef\u5185\u4f7f\u7528&#xff0c;\u4e0d\u5360\u754c\u9762&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u5de5\u5177\u7279\u70b9\u5730\u5740<\/tr>\n<tbody>\n<tr>\n<td>Claude Code<\/td>\n<td>Anthropic \u5b98\u65b9 CLI&#xff0c;\u6df1\u5ea6\u96c6\u6210 Claude \u6a21\u578b<\/td>\n<td>claude.ai\/code<\/td>\n<\/tr>\n<tr>\n<td>Aider<\/td>\n<td>\u5f00\u6e90 CLI&#xff0c;\u652f\u6301\u591a\u6a21\u578b&#xff0c;Git \u96c6\u6210\u597d<\/td>\n<td>aider.chat<\/td>\n<\/tr>\n<tr>\n<td>Cline<\/td>\n<td>VS Code \u63d2\u4ef6&#xff0c;\u7ec8\u7aef\u5185\u64cd\u4f5c<\/td>\n<td>cline.bot<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5373\u65f6\u751f\u6210\u5de5\u5177&#xff08;\u4e00\u53e5\u8bdd\u751f\u6210\u53ef\u8fd0\u884c\u9879\u76ee&#xff0c;\u5feb\u901f\u51fa Demo&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u5de5\u5177\u7279\u70b9\u5730\u5740<\/tr>\n<tbody>\n<tr>\n<td>Devin<\/td>\n<td>\u9996\u4e2a AI \u8f6f\u4ef6\u5de5\u7a0b\u5e08&#xff0c;\u5168\u81ea\u4e3b\u5f00\u53d1<\/td>\n<td>devin.ai<\/td>\n<\/tr>\n<tr>\n<td>\u79d2\u54d2<\/td>\n<td>\u5b57\u8282\u8df3\u52a8\u51fa\u54c1&#xff0c;\u4e2d\u6587\u53cb\u597d<\/td>\n<td>miaoda.cn<\/td>\n<\/tr>\n<tr>\n<td>\u7801\u4e0a\u98de<\/td>\n<td>\u5373\u65f6\u751f\u6210&#xff0c;\u5feb\u901f\u51fa\u539f\u578b<\/td>\n<td>codeflying.net<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u4e09\u3001AI \u53d1\u5c55\u7b80\u53f2&#xff1a;\u4ece\u56fe\u7075\u6d4b\u8bd5\u5230\u8d85\u7ea7\u667a\u80fd\u7684\u4e03\u5341\u5e74<\/h3>\n<h4>3.1 \u4e3a\u4ec0\u4e48\u9700\u8981\u4e86\u89e3 AI \u7684\u53d1\u5c55\u5386\u7a0b<\/h4>\n<p>\u8981\u771f\u6b63\u7406\u89e3\u4eca\u5929\u7684 AI \u4e3a\u4ec0\u4e48\u662f\u8fd9\u4e2a\u6837\u5b50&#xff0c;\u5fc5\u987b\u56de\u5230\u5386\u53f2\u4e2d\u53bb\u3002AI \u4e0d\u662f\u4e00\u591c\u4e4b\u95f4&#034;\u7a81\u7136\u51fa\u73b0&#034;\u7684\u2014\u2014\u5b83\u7ecf\u5386\u4e86\u4e09\u6b21\u5bd2\u51ac\u3001\u4e24\u6b21\u590d\u5174\u3001\u65e0\u6570\u6b21\u7684\u8def\u7ebf\u4e4b\u4e89&#xff0c;\u624d\u8d70\u5230\u4eca\u5929\u7684\u5927\u8bed\u8a00\u6a21\u578b\u65f6\u4ee3\u3002\u4e86\u89e3\u8fd9\u6bb5\u5386\u53f2&#xff0c;\u4f60\u5c31\u80fd\u7406\u89e3&#xff1a;<\/p>\n<ul>\n<li>\u4e3a\u4ec0\u4e48\u4e13\u5bb6\u7cfb\u7edf\u5728 1980 \u5e74\u4ee3\u98ce\u9761\u4e00\u65f6&#xff0c;\u53c8\u5728 1990 \u5e74\u4ee3\u8fc5\u901f\u8870\u843d<\/li>\n<li>\u4e3a\u4ec0\u4e48\u6df1\u5ea6\u5b66\u4e60\u5728 2012 \u5e74&#034;\u7a81\u7136\u7206\u53d1&#034;&#xff08;\u5176\u5b9e\u5df2\u7ecf\u915d\u917f\u4e86 30 \u5e74&#xff09;<\/li>\n<li>\u4e3a\u4ec0\u4e48 Transformer \u67b6\u6784\u7684\u51fa\u73b0\u662f\u6574\u4e2a AI \u9886\u57df\u7684\u5206\u6c34\u5cad<\/li>\n<li>\u4e3a\u4ec0\u4e48 ChatGPT \u5728 2022 \u5e74\u5e95\u5f15\u7206\u4e86\u5168\u7403 AI \u70ed\u6f6e<\/li>\n<\/ul>\n<h4>3.2 AI \u53d1\u5c55\u7684\u4e03\u4e2a\u9636\u6bb5<\/h4>\n<p>\u7b2c\u4e00\u9636\u6bb5&#xff1a;AI \u7684\u8bde\u751f&#xff08;1950-1974&#xff09;\u2014\u2014 \u4ece&#034;\u673a\u5668\u80fd\u601d\u8003\u5417&#034;\u5230\u7b2c\u4e00\u6b21\u9ec4\u91d1\u65f6\u4ee3<\/p>\n<p>1950 \u5e74&#xff0c;\u827e\u4f26\u00b7\u56fe\u7075&#xff08;Alan Turing&#xff09;\u53d1\u8868\u4e86\u4e00\u7bc7\u5212\u65f6\u4ee3\u7684\u8bba\u6587\u300aComputing Machinery and Intelligence\u300b&#xff0c;\u63d0\u51fa\u4e86\u4e00\u4e2a\u81f3\u4eca\u4ecd\u5728\u88ab\u8ba8\u8bba\u7684\u95ee\u9898&#xff1a;\u201c\u673a\u5668\u80fd\u601d\u8003\u5417&#xff1f;\u201c\u4e3a\u4e86\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898&#xff0c;\u4ed6\u8bbe\u8ba1\u4e86\u8457\u540d\u7684&#034;\u56fe\u7075\u6d4b\u8bd5\u201d\u2014\u2014\u5982\u679c\u4e00\u53f0\u673a\u5668\u5728\u4e0e\u4eba\u7c7b\u7684\u5bf9\u8bdd\u4e2d&#xff0c;\u8ba9\u4eba\u7c7b\u65e0\u6cd5\u5206\u8fa8\u5bf9\u65b9\u662f\u673a\u5668\u8fd8\u662f\u4eba&#xff0c;\u90a3\u4e48\u8fd9\u53f0\u673a\u5668\u5c31\u5177\u5907\u4e86&#034;\u667a\u80fd\u201d\u3002<\/p>\n<p>1956 \u5e74&#xff0c;\u8fbe\u7279\u8305\u65af\u4f1a\u8bae&#xff08;Dartmouth Workshop&#xff09;\u53ec\u5f00\u3002\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521&#xff08;John McCarthy&#xff09;\u5728\u8fd9\u6b21\u4f1a\u8bae\u4e0a\u6b63\u5f0f\u63d0\u51fa\u4e86&#034;Artificial Intelligence&#xff08;\u4eba\u5de5\u667a\u80fd&#xff09;&#034;\u8fd9\u4e2a\u672f\u8bed\u3002\u8fd9\u6b21\u4f1a\u8bae\u88ab\u516c\u8ba4\u4e3a AI \u5b66\u79d1\u7684\u8bde\u751f\u6807\u5fd7\u3002<\/p>\n<p>\u5728\u63a5\u4e0b\u6765\u7684\u5341\u51e0\u5e74\u91cc&#xff0c;AI \u8fdb\u5165\u4e86\u7b2c\u4e00\u4e2a\u9ec4\u91d1\u65f6\u4ee3\u3002\u7814\u7a76\u8005\u4eec\u5f00\u53d1\u51fa\u4e86\u80fd\u8bc1\u660e\u6570\u5b66\u5b9a\u7406\u7684\u7a0b\u5e8f&#xff08;Logic Theorist&#xff09;\u3001\u80fd\u4e0b\u68cb\u7684\u7a0b\u5e8f\u3001\u80fd\u89e3\u51b3\u7b80\u5355\u81ea\u7136\u8bed\u8a00\u95ee\u9898\u7684\u7a0b\u5e8f&#xff08;ELIZA \u804a\u5929\u673a\u5668\u4eba&#xff09;\u3002\u5f53\u65f6\u7684\u4eba\u4eec\u5bf9 AI \u5145\u6ee1\u4e50\u89c2\u2014\u2014\u201c20 \u5e74\u5185&#xff0c;\u673a\u5668\u5c06\u80fd\u5b8c\u6210\u4eba\u7c7b\u80fd\u505a\u7684\u4e00\u5207\u5de5\u4f5c\u201d\u3002<\/p>\n<p>\u7b2c\u4e8c\u9636\u6bb5&#xff1a;\u7b2c\u4e00\u6b21 AI \u5bd2\u51ac&#xff08;1974-1980&#xff09;\u2014\u2014 \u671f\u671b\u8d8a\u9ad8&#xff0c;\u5931\u671b\u8d8a\u5927<\/p>\n<p>1970 \u5e74\u4ee3\u4e2d\u671f&#xff0c;\u70ed\u60c5\u9aa4\u7136\u51b7\u5374\u3002\u539f\u56e0\u5f88\u7b80\u5355&#xff1a;\u65e9\u671f AI \u7cfb\u7edf\u7684\u80fd\u529b\u8fdc\u8fdc\u4f4e\u4e8e\u9884\u671f\u3002\u90a3\u4e9b\u5728\u5b9e\u9a8c\u5ba4\u91cc\u8868\u73b0\u4e0d\u9519\u7684\u7cfb\u7edf&#xff0c;\u4e00\u5230\u771f\u5b9e\u4e16\u754c\u5c31\u5b8c\u5168\u5931\u6548\u3002\u7b26\u53f7\u903b\u8f91\u63a8\u7406\u5728\u7b80\u5355\u7684&#034;\u73a9\u5177\u95ee\u9898&#034;\u4e0a\u6709\u6548&#xff0c;\u4f46\u9762\u5bf9\u73b0\u5b9e\u4e16\u754c\u7684\u590d\u6742\u6027\u548c\u6a21\u7cca\u6027&#xff0c;\u5b8c\u5168\u65e0\u80fd\u4e3a\u529b\u3002<\/p>\n<p>1973 \u5e74&#xff0c;\u82f1\u56fd\u653f\u5e9c\u53d1\u5e03\u4e86\u8457\u540d\u7684\u300aLighthill \u62a5\u544a\u300b&#xff0c;\u4e25\u5389\u6279\u8bc4 AI \u7814\u7a76&#034;\u6ca1\u6709\u53d6\u5f97\u4efb\u4f55\u5b9e\u8d28\u6027\u8fdb\u5c55&#034;\u3002\u82f1\u56fd\u653f\u5e9c\u5927\u5e45\u524a\u51cf AI \u7814\u7a76\u7ecf\u8d39&#xff0c;\u968f\u540e\u7f8e\u56fd DARPA \u4e5f\u8ddf\u8fdb\u524a\u51cf\u3002AI \u7814\u7a76\u8d44\u91d1\u51e0\u4e4e\u67af\u7aed&#xff0c;\u5927\u91cf\u7814\u7a76\u8005\u88ab\u8feb\u8f6c\u884c\u3002\u8fd9\u5c31\u662f\u7b2c\u4e00\u6b21 AI \u5bd2\u51ac\u3002<\/p>\n<p>\u7b2c\u4e09\u9636\u6bb5&#xff1a;\u4e13\u5bb6\u7cfb\u7edf\u7684\u590d\u5174&#xff08;1980-1987&#xff09;\u2014\u2014 \u201c\u77e5\u8bc6\u5c31\u662f\u529b\u91cf\u201d<\/p>\n<p>1980 \u5e74\u4ee3&#xff0c;AI \u4ee5&#034;\u4e13\u5bb6\u7cfb\u7edf&#034;\u7684\u5f62\u5f0f\u5f3a\u52bf\u56de\u5f52\u3002\u4e13\u5bb6\u7cfb\u7edf\u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u4e0d\u8ffd\u6c42\u901a\u7528\u667a\u80fd&#xff0c;\u800c\u662f\u805a\u7126\u4e8e\u7279\u5b9a\u9886\u57df&#xff0c;\u5c06\u4eba\u7c7b\u4e13\u5bb6\u7684\u77e5\u8bc6\u7f16\u7801\u4e3a&#034;\u5982\u679c-\u90a3\u4e48&#034;\u89c4\u5219\u3002<\/p>\n<p>\u4e00\u4e2a\u5178\u578b\u7684\u4e13\u5bb6\u7cfb\u7edf&#xff1a;MYCIN&#xff08;1976 \u5e74\u5f00\u53d1&#xff0c;1980 \u5e74\u4ee3\u6295\u5165\u4f7f\u7528&#xff09;&#xff0c;\u5b83\u5305\u542b\u4e86\u7ea6 600 \u6761\u5173\u4e8e\u8840\u6db2\u611f\u67d3\u8bca\u65ad\u7684\u89c4\u5219&#xff0c;\u5728\u8bca\u65ad\u67d0\u4e9b\u7ec6\u83cc\u611f\u67d3\u65b9\u9762\u7684\u51c6\u786e\u7387\u8d85\u8fc7\u4e86\u521d\u7ea7\u533b\u751f\u3002XCON&#xff08;1980 \u5e74&#xff09;\u4e3a DEC \u516c\u53f8\u6bcf\u5e74\u8282\u7701\u4e86 4000 \u4e07\u7f8e\u5143\u2014\u2014\u5b83\u81ea\u52a8\u914d\u7f6e\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u7ec4\u4ef6&#xff0c;\u51cf\u5c11\u4e86\u5927\u91cf\u4eba\u5de5\u9519\u8bef\u3002<\/p>\n<p>\u4e13\u5bb6\u7cfb\u7edf\u5728\u5546\u4e1a\u4e0a\u7684\u6210\u529f\u5f15\u53d1\u4e86\u7b2c\u4e8c\u6b21 AI \u6295\u8d44\u70ed\u6f6e\u3002\u65e5\u672c\u542f\u52a8\u4e86\u96c4\u5fc3\u52c3\u52c3\u7684&#034;\u7b2c\u4e94\u4ee3\u8ba1\u7b97\u673a&#034;\u9879\u76ee&#xff0c;\u7f8e\u56fd\u3001\u82f1\u56fd\u4e5f\u7eb7\u7eb7\u8ddf\u8fdb\u3002\u4f46\u4e13\u5bb6\u7cfb\u7edf\u7684\u81f4\u547d\u7f3a\u9677\u5df2\u7ecf\u66b4\u9732&#xff1a;\u89c4\u5219\u5199\u4e0d\u5b8c\u3001\u89c4\u5219\u4f1a\u51b2\u7a81\u3001\u7cfb\u7edf\u65e0\u6cd5\u5e94\u5bf9\u65b0\u60c5\u51b5\u3001\u7ef4\u62a4\u6210\u672c\u6781\u9ad8\u3002<\/p>\n<p>\u7b2c\u56db\u9636\u6bb5&#xff1a;\u7b2c\u4e8c\u6b21 AI \u5bd2\u51ac&#xff08;1987-1993&#xff09;\u2014\u2014 \u4e13\u5bb6\u7cfb\u7edf\u7684\u5d29\u6e83<\/p>\n<p>1987 \u5e74&#xff0c;\u4e13\u7528 Lisp \u673a\u5668\u5e02\u573a\u5d29\u6e83\u3002\u901a\u7528\u8ba1\u7b97\u673a&#xff08;\u5982 Sun \u5de5\u4f5c\u7ad9&#xff09;\u7684\u6027\u80fd\u5df2\u7ecf\u8d85\u8fc7\u4e86\u6602\u8d35\u7684\u4e13\u7528 AI \u786c\u4ef6\u3002\u52a0\u4e0a\u4e13\u5bb6\u7cfb\u7edf\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u66b4\u9732\u7684\u5927\u91cf\u95ee\u9898&#xff08;\u7ef4\u62a4\u56f0\u96be\u3001\u65e0\u6cd5\u5904\u7406\u4e0d\u786e\u5b9a\u6027\u3001\u77e5\u8bc6\u83b7\u53d6\u6210\u672c\u9ad8&#xff09;&#xff0c;AI \u6295\u8d44\u518d\u6b21\u5927\u5e45\u840e\u7f29\u3002<\/p>\n<p>\u65e5\u672c\u7b2c\u4e94\u4ee3\u8ba1\u7b97\u673a\u9879\u76ee\u5728 1992 \u5e74\u6b63\u5f0f\u5ba3\u544a\u5931\u8d25\u2014\u2014\u6295\u5165\u4e86 10 \u5e74\u65f6\u95f4\u3001\u6570\u767e\u4ebf\u65e5\u5143&#xff0c;\u5374\u6ca1\u6709\u4ea7\u751f\u4efb\u4f55\u6709\u5546\u4e1a\u4ef7\u503c\u7684\u6210\u679c\u3002AI \u518d\u6b21\u8dcc\u5165\u4f4e\u8c37\u3002<\/p>\n<p>\u4f46\u6b63\u662f\u5728\u8fd9\u4e2a\u5bd2\u51ac\u4e2d&#xff0c;\u6709\u4e00\u6279\u7814\u7a76\u8005\u9ed8\u9ed8\u575a\u6301\u7740\u53e6\u4e00\u6761\u6280\u672f\u8def\u7ebf\u2014\u2014\u795e\u7ecf\u7f51\u7edc\u3002\u867d\u7136\u5f53\u65f6\u4e0d\u88ab\u4e3b\u6d41 AI \u754c\u770b\u597d&#xff0c;\u4f46\u4ed6\u4eec\u7684\u5de5\u4f5c\u4e3a\u540e\u6765\u7684\u6df1\u5ea6\u5b66\u4e60\u9769\u547d\u57cb\u4e0b\u4e86\u79cd\u5b50\u3002<\/p>\n<p>\u7b2c\u4e94\u9636\u6bb5&#xff1a;\u673a\u5668\u5b66\u4e60\u7684\u5d1b\u8d77&#xff08;1993-2012&#xff09;\u2014\u2014 \u4ece&#034;\u89c4\u5219&#034;\u5230&#034;\u6570\u636e&#034;<\/p>\n<p>1990 \u5e74\u4ee3&#xff0c;AI \u7684\u7814\u7a76\u91cd\u5fc3\u4ece&#034;\u57fa\u4e8e\u89c4\u5219\u7684\u63a8\u7406&#034;\u8f6c\u5411\u4e86&#034;\u57fa\u4e8e\u6570\u636e\u7684\u7edf\u8ba1\u5b66\u4e60&#034;\u3002\u652f\u6301\u5411\u91cf\u673a&#xff08;SVM&#xff09;\u3001\u968f\u673a\u68ee\u6797\u3001\u8d1d\u53f6\u65af\u7f51\u7edc\u7b49\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5f00\u59cb\u6210\u4e3a\u4e3b\u6d41\u3002<\/p>\n<p>\u5173\u952e\u4e8b\u4ef6&#xff1a;<\/p>\n<ul>\n<li>1997 \u5e74&#xff1a;IBM \u6df1\u84dd&#xff08;Deep Blue&#xff09;\u51fb\u8d25\u56fd\u9645\u8c61\u68cb\u4e16\u754c\u51a0\u519b\u5361\u65af\u5e15\u7f57\u592b\u3002\u8fd9\u662f AI \u5728\u667a\u529b\u7ade\u6280\u9886\u57df\u7b2c\u4e00\u6b21\u51fb\u8d25\u4eba\u7c7b\u4e16\u754c\u51a0\u519b\u3002<\/li>\n<li>2006 \u5e74&#xff1a;\u6770\u5f17\u91cc\u00b7\u8f9b\u987f&#xff08;Geoffrey Hinton&#xff09;\u53d1\u8868\u4e86\u5173\u4e8e\u6df1\u5ea6\u4fe1\u5ff5\u7f51\u7edc&#xff08;Deep Belief Networks&#xff09;\u7684\u8bba\u6587&#xff0c;\u6807\u5fd7\u7740&#034;\u6df1\u5ea6\u5b66\u4e60&#034;\u8fd9\u4e2a\u6982\u5ff5\u7684\u6b63\u5f0f\u63d0\u51fa\u3002\u4ed6\u8bc1\u660e\u4e86\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u901a\u8fc7&#034;\u9010\u5c42\u9884\u8bad\u7ec3&#034;\u6765\u6709\u6548\u8bad\u7ec3\u3002<\/li>\n<li>2011 \u5e74&#xff1a;IBM Watson \u5728\u300a\u5371\u9669\u8fb9\u7f18\u300b&#xff08;Jeopardy!&#xff09;\u95ee\u7b54\u8282\u76ee\u4e2d\u51fb\u8d25\u4e86\u4e24\u4f4d\u4eba\u7c7b\u51a0\u519b\u3002<\/li>\n<\/ul>\n<p>\u7b2c\u516d\u9636\u6bb5&#xff1a;\u6df1\u5ea6\u5b66\u4e60\u9769\u547d&#xff08;2012-2017&#xff09;\u2014\u2014 &#034;\u6570\u636e &#043; \u7b97\u529b &#043; \u7b97\u6cd5&#034;\u7684\u4e09\u91cd\u594f<\/p>\n<p>2012 \u5e74\u662f\u6df1\u5ea6\u5b66\u4e60\u9769\u547d\u7684\u5143\u5e74\u3002\u8f9b\u987f\u7684\u4e24\u4f4d\u5b66\u751f Alex Krizhevsky \u548c Ilya Sutskever&#xff08;\u540e\u6765\u6210\u4e3a OpenAI \u7684\u8054\u5408\u521b\u59cb\u4eba&#xff09;\u8bbe\u8ba1\u7684 AlexNet \u5728 ImageNet \u56fe\u50cf\u8bc6\u522b\u5927\u8d5b\u4e2d&#xff0c;\u4ee5\u538b\u5012\u6027\u4f18\u52bf\u51fb\u8d25\u4e86\u6240\u6709\u4f20\u7edf\u65b9\u6cd5\u2014\u2014\u9519\u8bef\u7387\u4ece 26% \u9aa4\u964d\u5230 15.3%\u3002\u8fd9\u6b21\u80dc\u5229\u5411\u5168\u4e16\u754c\u8bc1\u660e\u4e86&#xff1a;\u6df1\u5ea6\u5b66\u4e60 &#043; GPU \u7b97\u529b &#043; \u6d77\u91cf\u6570\u636e &#061; \u524d\u6240\u672a\u6709\u7684\u80fd\u529b\u3002<\/p>\n<p>\u6b64\u540e&#xff0c;\u6df1\u5ea6\u5b66\u4e60\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u673a\u5668\u7ffb\u8bd1\u7b49\u51e0\u4e4e\u6240\u6709 AI \u4efb\u52a1\u4e0a\u53d6\u5f97\u4e86\u7a81\u7834\u6027\u8fdb\u5c55&#xff1a;<\/p>\n<ul>\n<li>2014 \u5e74&#xff1a;Ian Goodfellow \u53d1\u660e\u4e86 GAN&#xff08;\u751f\u6210\u5bf9\u6297\u7f51\u7edc&#xff09;&#xff0c;\u5f00\u542f\u4e86 AI \u751f\u6210\u56fe\u50cf\u7684\u65f6\u4ee3<\/li>\n<li>2014 \u5e74&#xff1a;Google \u6536\u8d2d DeepMind&#xff0c;\u540e\u8005\u5f00\u59cb\u7814\u53d1 AlphaGo<\/li>\n<li>2016 \u5e74&#xff1a;AlphaGo \u4ee5 4:1 \u51fb\u8d25\u56f4\u68cb\u4e16\u754c\u51a0\u519b\u674e\u4e16\u77f3\u3002\u56f4\u68cb\u88ab\u8ba4\u4e3a\u662f\u4eba\u7c7b\u667a\u529b\u6e38\u620f\u7684\u5dc5\u5cf0&#xff0c;\u5176\u72b6\u6001\u7a7a\u95f4\u8fdc\u8d85\u56fd\u9645\u8c61\u68cb&#xff0c;\u6b64\u524d\u6ca1\u4eba\u76f8\u4fe1 AI \u80fd\u5728\u56f4\u68cb\u4e0a\u51fb\u8d25\u4eba\u7c7b\u9876\u7ea7\u68cb\u624b<\/li>\n<li>2017 \u5e74&#xff1a;Google \u53d1\u8868\u8bba\u6587\u300aAttention Is All You Need\u300b&#xff0c;\u63d0\u51fa\u4e86 Transformer \u67b6\u6784\u3002\u8fd9\u7bc7\u8bba\u6587\u6539\u53d8\u4e86\u6574\u4e2a AI \u9886\u57df\u7684\u8d70\u5411&#xff0c;\u65f6\u81f3\u4eca\u65e5&#xff0c;transformr\u4f9d\u65e7\u662f\u6240\u6709\u5927\u6a21\u578b\u7684\u57fa\u7840\u67b6\u6784\u3002<\/li>\n<\/ul>\n<p>\u7b2c\u4e03\u9636\u6bb5&#xff1a;\u5927\u8bed\u8a00\u6a21\u578b\u65f6\u4ee3&#xff08;2017-2026&#xff09;\u2014\u2014 \u89c4\u6a21\u5373\u80fd\u529b<\/p>\n<p>Transformer \u7684\u51fa\u73b0&#xff0c;\u8ba9\u7814\u7a76\u8005\u4eec\u53d1\u73b0\u4e86\u4e00\u4e2a\u60ca\u4eba\u7684\u89c4\u5f8b&#xff1a;\u6a21\u578b\u8d8a\u5927&#xff0c;\u80fd\u529b\u8d8a\u5f3a&#xff0c;\u800c\u4e14\u8fd9\u79cd\u80fd\u529b\u7684\u589e\u957f\u4e0d\u662f\u7ebf\u6027\u7684&#xff0c;\u800c\u662f\u6d8c\u73b0\u5f0f\u7684&#xff0c;\u8bf4\u767d\u4e86\u5c31\u662f\u4ee5\u91cf\u5236\u80dc&#xff0c;\u9760\u6570\u636e\u7ed9\u4ed6\u5806\u79ef\u8d77\u6765&#xff0c;\u5c31\u6bd4\u5982\u8ba9\u4e00\u4e2a\u4eba\u628agithub\u4e0a\u9762\u7684\u6240\u6709\u4ee3\u7801\u5b66\u4f1a&#xff0c;\u90a3\u4e48\u6bcb\u5eb8\u7f6e\u7591\u4ed6\u4f1a\u6210\u4e3a\u8ba1\u7b97\u673a\u9886\u57df\u552f\u4e00\u7684god\u3002<\/p>\n<ul>\n<li>2018 \u5e74&#xff1a;Google \u53d1\u5e03 BERT&#xff08;\u57fa\u4e8e Transformer \u7684\u7f16\u7801\u5668&#xff09;&#xff0c;OpenAI \u53d1\u5e03 GPT-1\u3002BERT \u5728 11 \u9879 NLP \u4efb\u52a1\u4e0a\u5237\u65b0\u4e86\u6700\u4f73\u6210\u7ee9<\/li>\n<li>2019 \u5e74&#xff1a;OpenAI \u53d1\u5e03 GPT-2&#xff08;15 \u4ebf\u53c2\u6570&#xff09;&#xff0c;\u56e0\u4e3a&#034;\u592a\u5371\u9669&#034;\u800c\u5ef6\u8fdf\u53d1\u5e03\u2014\u2014\u4ed6\u4eec\u62c5\u5fc3\u8fd9\u4e2a\u6a21\u578b\u88ab\u7528\u4e8e\u751f\u6210\u865a\u5047\u65b0\u95fb<\/li>\n<li>2020 \u5e74&#xff1a;OpenAI \u53d1\u5e03 GPT-3&#xff08;1750 \u4ebf\u53c2\u6570&#xff09;&#xff0c;\u9996\u6b21\u5c55\u793a\u4e86&#034;\u6d8c\u73b0\u80fd\u529b&#034;\u2014\u2014\u6a21\u578b\u5728\u6ca1\u6709\u4e13\u95e8\u8bad\u7ec3\u7684\u60c5\u51b5\u4e0b&#xff0c;\u80fd\u591f\u5b8c\u6210\u7ffb\u8bd1\u3001\u7f16\u7a0b\u3001\u5199\u8bd7\u7b49\u4efb\u52a1<\/li>\n<li>2022 \u5e74 11 \u6708&#xff1a;OpenAI \u53d1\u5e03 ChatGPT&#xff0c;\u57fa\u4e8e GPT-3.5\u3002\u4e24\u4e2a\u6708\u5185\u7528\u6237\u7a81\u7834 1 \u4ebf&#xff0c;\u6210\u4e3a\u5386\u53f2\u4e0a\u589e\u957f\u6700\u5feb\u7684\u6d88\u8d39\u7ea7\u5e94\u7528\u3002AI \u4ece&#034;\u5b9e\u9a8c\u5ba4\u6280\u672f&#034;\u53d8\u6210\u4e86&#034;\u5168\u6c11\u5de5\u5177&#034;<\/li>\n<li>2023 \u5e74 3 \u6708&#xff1a;OpenAI \u53d1\u5e03 GPT-4&#xff0c;\u652f\u6301\u591a\u6a21\u6001&#xff08;\u56fe\u50cf\u7406\u89e3&#xff09;&#xff0c;\u5728\u5f8b\u5e08\u8d44\u683c\u8003\u8bd5\u4e2d\u6392\u540d\u524d 10%<\/li>\n<li>2023 \u5e74&#xff1a;Meta \u5f00\u6e90 Llama 2&#xff0c;\u4e2d\u56fd\u5927\u6a21\u578b\u5382\u5546\u96c6\u4e2d\u7206\u53d1&#xff08;\u767e\u5ea6\u6587\u5fc3\u3001\u963f\u91cc\u901a\u4e49\u3001\u5b57\u8282\u8c46\u5305\u3001\u667a\u8c31 GLM \u7b49&#xff09;<\/li>\n<li>2024 \u5e74&#xff1a;\u591a\u6a21\u6001\u6a21\u578b\u5168\u9762\u7206\u53d1\u2014\u2014GPT-4o \u652f\u6301\u5b9e\u65f6\u97f3\u89c6\u9891\u4ea4\u4e92&#xff0c;Sora \u5b9e\u73b0\u6587\u751f\u89c6\u9891&#xff0c;Claude 3 \u5728\u591a\u9879\u57fa\u51c6\u4e0a\u8d85\u8d8a GPT-4<\/li>\n<li>2025 \u5e74&#xff1a;AI Agent \u7206\u53d1\u2014\u2014\u6a21\u578b\u4e0d\u4ec5\u80fd&#034;\u804a\u5929&#034;&#xff0c;\u8fd8\u80fd\u81ea\u4e3b\u64cd\u4f5c\u6d4f\u89c8\u5668\u3001\u5199\u4ee3\u7801\u3001\u8c03\u7528 API\u3001\u5b8c\u6210\u590d\u6742\u4efb\u52a1\u94fe\u3002DeepSeek-R1 \u4ee5\u6781\u4f4e\u6210\u672c\u8fbe\u5230\u9876\u7ea7\u63a8\u7406\u80fd\u529b&#xff0c;\u5f15\u53d1&#034;\u4ef7\u683c\u5c60\u592b&#034;\u8ba8\u8bba<\/li>\n<li>2026 \u5e74&#xff1a;\u6a21\u578b\u80fd\u529b\u6301\u7eed\u6500\u5347\u2014\u2014Claude Opus 4.6 \u652f\u6301 1M Token \u4e0a\u4e0b\u6587\u548c\u81ea\u9002\u5e94\u63a8\u7406&#xff0c;GPT-5 \u7cfb\u5217\u8fed\u4ee3\u5230 5.5 \u7248\u672c&#xff0c;DeepSeek V4 \u5728 SWE-bench \u7f16\u7a0b\u57fa\u51c6\u4e0a\u8fbe\u5230 81% \u7684\u5f97\u5206&#xff0c;Gemini 3.1 Pro \u5728 MMLU-Pro \u4e0a\u8fbe\u5230 91.2% \u7684\u9886\u5148\u6c34\u5e73 [17][18]<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091729-6a9152297e074.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h4>3.3 AI \u53d1\u5c55\u53f2\u7684\u4e09\u5927\u6559\u8bad<\/h4>\n<p>\u56de\u987e\u8fd9\u4e03\u5341\u5e74\u7684\u5386\u53f2&#xff0c;\u6709\u4e09\u4e2a\u53cd\u590d\u51fa\u73b0\u7684\u6559\u8bad&#xff1a;<\/p>\n<p>\u6559\u8bad\u4e00&#xff1a;\u4e0d\u8981\u9ad8\u4f30\u77ed\u671f&#xff0c;\u4e0d\u8981\u4f4e\u4f30\u957f\u671f\u30021960 \u5e74\u4ee3\u7684 AI \u7814\u7a76\u8005\u8ba4\u4e3a&#034;20 \u5e74\u5185 AI \u80fd\u66ff\u4ee3\u4eba\u7c7b\u6240\u6709\u5de5\u4f5c&#034;&#xff0c;\u8fd9\u4e2a\u9884\u6d4b\u81f3\u4eca\u6ca1\u6709\u5b9e\u73b0\u3002\u4f46 2010 \u5e74\u5f88\u5c11\u6709\u4eba\u80fd\u9884\u6d4b\u5230&#xff0c;\u77ed\u77ed 13 \u5e74\u540e&#xff0c;AI \u5c31\u80fd\u901a\u8fc7\u5f8b\u5e08\u8d44\u683c\u8003\u8bd5\u3001\u5199\u51fa\u53ef\u7528\u7684\u4ee3\u7801\u3001\u751f\u6210\u903c\u771f\u7684\u89c6\u9891\u3002<\/p>\n<p>\u6559\u8bad\u4e8c&#xff1a;\u7b97\u529b\u3001\u6570\u636e\u3001\u7b97\u6cd5&#xff0c;\u4e09\u8005\u7f3a\u4e00\u4e0d\u53ef\u3002\u795e\u7ecf\u7f51\u7edc\u7684\u6982\u5ff5\u5728 1950 \u5e74\u4ee3\u5c31\u51fa\u73b0\u4e86&#xff0c;\u4f46\u76f4\u5230 2012 \u5e74\u624d\u7206\u53d1\u2014\u2014\u56e0\u4e3a\u6709\u4e86 GPU&#xff08;\u7b97\u529b&#xff09;\u3001ImageNet&#xff08;\u6570\u636e&#xff09;\u548c\u66f4\u597d\u7684\u8bad\u7ec3\u7b97\u6cd5\u3002Transformer \u5728 2017 \u5e74\u5c31\u63d0\u51fa\u4e86&#xff0c;\u4f46\u771f\u6b63\u7684\u7206\u53d1\u5728 2022 \u5e74\u2014\u2014\u56e0\u4e3a\u9700\u8981\u8db3\u591f\u7684\u7b97\u529b\u6765\u8bad\u7ec3 GPT-3 \u7ea7\u522b\u7684\u5927\u6a21\u578b&#xff0c;\u90a3\u4e48\u7b97\u529b\u5176\u5b9e\u5c31\u662f\u57fa\u7840\u8bbe\u65bd&#xff0c;\u6bd4\u5982\u7535\u3002<\/p>\n<p>\u6559\u8bad\u4e09&#xff1a;\u5bd2\u51ac\u5b55\u80b2\u7a81\u7834\u3002\u6bcf\u4e00\u6b21 AI \u5bd2\u51ac\u4e4b\u540e&#xff0c;\u90fd\u6709\u4e00\u6279\u7814\u7a76\u8005\u4ece\u4e3b\u6d41\u8def\u7ebf\u4e4b\u5916\u627e\u5230\u4e86\u65b0\u7684\u65b9\u5411\u3002\u6ca1\u6709\u7b2c\u4e00\u6b21\u5bd2\u51ac&#xff0c;\u5c31\u4e0d\u4f1a\u6709\u4e13\u5bb6\u7cfb\u7edf\u7684\u60f3\u6cd5&#xff1b;\u6ca1\u6709\u7b2c\u4e8c\u6b21\u5bd2\u51ac&#xff0c;\u795e\u7ecf\u7f51\u7edc\u53ef\u80fd\u4e0d\u4f1a\u5f97\u5230\u6301\u7eed\u7684\u5173\u6ce8&#xff1b;\u6ca1\u6709\u8fc7\u53bb\u51e0\u5e74\u7684\u79ef\u7d2f&#xff0c;ChatGPT \u7684\u7206\u53d1\u5c31\u4e0d\u53ef\u80fd\u53d1\u751f\u3002<\/p>\n<hr \/>\n<h3>\u56db\u3001AI\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60&#xff1a;\u4e09\u5c42\u5173\u7cfb\u6df1\u5ea6\u62c6\u89e3<\/h3>\n<h4>3.1 \u4e09\u5c42\u5173\u7cfb\u6982\u8ff0<\/h4>\n<p>\u4eba\u5de5\u667a\u80fd\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u8fd9\u4e09\u8005\u7684\u5173\u7cfb&#xff0c;\u53ef\u4ee5\u7528\u4e00\u4e2a\u6280\u672f\u5708\u5e38\u89c1\u7684\u6bd4\u55bb\u6765\u7406\u89e3&#xff1a;\u4e09\u5c42\u540c\u5fc3\u5706\u3002<\/p>\n<ul>\n<li>\u6700\u5916\u5c42&#xff1a;\u4eba\u5de5\u667a\u80fd&#xff08;AI&#xff09;\u2014\u2014\u76ee\u6807\u662f\u8ba9\u673a\u5668\u62e5\u6709\u7c7b\u4f3c\u4eba\u7c7b\u7684\u667a\u80fd\u3002\u8fd9\u662f\u6700\u5b8f\u5927\u7684\u613f\u666f&#xff0c;\u6db5\u76d6\u6240\u6709\u8bd5\u56fe\u8ba9\u673a\u5668\u53d8&#034;\u806a\u660e&#034;\u7684\u6280\u672f\u3002<\/li>\n<li>\u4e2d\u95f4\u5c42&#xff1a;\u673a\u5668\u5b66\u4e60&#xff08;ML&#xff09;\u2014\u2014\u662f AI \u7684\u6838\u5fc3\u5b9e\u73b0\u65b9\u5f0f\u3002\u5b83\u901a\u8fc7\u6570\u636e\u8bad\u7ec3\u6a21\u578b&#xff0c;\u8ba9\u673a\u5668\u81ea\u52a8\u5b66\u4e60\u89c4\u5f8b&#xff0c;\u800c\u4e0d\u662f\u4f9d\u8d56\u4eba\u5de5\u7f16\u5199\u89c4\u5219\u3002<\/li>\n<li>\u6700\u5185\u5c42&#xff1a;\u6df1\u5ea6\u5b66\u4e60&#xff08;DL&#xff09;\u2014\u2014\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u91cd\u8981\u5206\u652f\u3002\u57fa\u4e8e\u591a\u5c42\u795e\u7ecf\u7f51\u7edc&#xff0c;\u8ba9\u673a\u5668\u81ea\u52a8\u4ece\u6d77\u91cf\u6570\u636e\u4e2d\u5b66\u4e60\u7279\u5f81\u4e0e\u89c4\u5f8b\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091730-6a91522a23e93.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u4e00\u53e5\u8bdd\u603b\u7ed3&#xff1a;\u6df1\u5ea6\u5b66\u4e60\u662f\u673a\u5668\u5b66\u4e60\u7684\u91cd\u8981\u5206\u652f&#xff0c;\u673a\u5668\u5b66\u4e60\u662f\u4eba\u5de5\u667a\u80fd\u7684\u6838\u5fc3\u5b9e\u73b0\u65b9\u5f0f\u3002<\/p>\n<h4>3.2 \u4eba\u5de5\u667a\u80fd&#xff08;AI&#xff09;\u2014\u2014\u6700\u5b8f\u5927\u7684\u613f\u666f<\/h4>\n<p>\u4eba\u5de5\u667a\u80fd\u7684\u76ee\u6807\u662f\u8ba9\u673a\u5668\u8868\u73b0\u51fa\u7c7b\u4f3c\u4eba\u7c7b\u7684\u667a\u80fd\u884c\u4e3a\u3002\u8fd9\u4e2a\u5b9a\u4e49\u975e\u5e38\u5bbd\u6cdb&#xff0c;\u56e0\u4e3a\u5b83\u6db5\u76d6\u4e86\u4e00\u5207\u8bd5\u56fe\u8ba9\u673a\u5668&#034;\u806a\u660e&#034;\u8d77\u6765\u7684\u6280\u672f\u2014\u2014\u4ece 1950 \u5e74\u4ee3\u7684\u7b26\u53f7\u903b\u8f91\u63a8\u7406&#xff0c;\u5230 2020 \u5e74\u4ee3\u7684\u5927\u8bed\u8a00\u6a21\u578b&#xff0c;\u90fd\u5c5e\u4e8e AI \u7684\u8303\u7574\u3002<\/p>\n<p>AI \u7684\u5b9e\u73b0\u65b9\u5f0f\u6709\u5f88\u591a\u79cd&#xff0c;\u673a\u5668\u5b66\u4e60\u53ea\u662f\u5176\u4e2d\u4e4b\u4e00\u3002\u65e9\u671f AI \u4e5f\u66fe\u5c1d\u8bd5&#034;\u4e13\u5bb6\u7cfb\u7edf&#034;\u2014\u2014\u7531\u4eba\u7c7b\u4e13\u5bb6\u624b\u52a8\u7f16\u5199\u6210\u5343\u4e0a\u4e07\u6761\u89c4\u5219&#xff0c;\u8ba9\u673a\u5668\u6309\u7167\u89c4\u5219\u6765\u63a8\u7406\u3002\u6bd4\u5982&#xff1a;\u201c\u5982\u679c\u75c5\u4eba\u53d1\u70e7\u4e14\u54b3\u55fd\u4e14\u80ba\u90e8\u6709\u9634\u5f71&#xff0c;\u90a3\u4e48\u53ef\u80fd\u662f\u80ba\u708e\u201d\u3002\u8fd9\u79cd\u65b9\u5f0f\u7684\u5c40\u9650\u6027\u5f88\u660e\u663e&#xff1a;\u89c4\u5219\u5199\u4e0d\u5b8c\u3001\u89c4\u5219\u4e4b\u95f4\u4f1a\u51b2\u7a81\u3001\u89c4\u5219\u65e0\u6cd5\u5e94\u5bf9\u65b0\u60c5\u51b5\u3002<\/p>\n<h4>3.3 \u673a\u5668\u5b66\u4e60&#xff08;ML&#xff09;\u2014\u2014\u4ece\u89c4\u5219\u5230\u6570\u636e<\/h4>\n<p>**\u673a\u5668\u5b66\u4e60&#xff08;Machine Learning&#xff09;**\u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u4e0d\u5199\u89c4\u5219&#xff0c;\u800c\u662f\u8ba9\u673a\u5668\u4ece\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u89c4\u5219\u3002<\/p>\n<p>\u4f20\u7edf\u7684\u7f16\u7a0b\u65b9\u5f0f&#xff1a;<\/p>\n<p>\u6570\u636e &#043; \u89c4\u5219 \u2192 \u8ba1\u7b97\u673a \u2192 \u7b54\u6848<\/p>\n<p>\u673a\u5668\u5b66\u4e60\u7684\u65b9\u5f0f&#xff1a;<\/p>\n<p>\u6570\u636e &#043; \u7b54\u6848 \u2192 \u8ba1\u7b97\u673a \u2192 \u89c4\u5219&#xff08;\u6a21\u578b&#xff09;<\/p>\n<p>\u4e3e\u4e2a\u4f8b\u5b50&#xff1a;\u8981\u8bc6\u522b\u4e00\u5f20\u56fe\u7247\u662f\u732b\u8fd8\u662f\u72d7\u3002\u4f20\u7edf\u65b9\u5f0f\u9700\u8981\u624b\u52a8\u7f16\u5199\u89c4\u5219\u2014\u2014\u201c\u732b\u7684\u8033\u6735\u662f\u5c16\u7684&#xff0c;\u72d7\u7684\u773c\u775b\u662f\u5706\u7684&#xff0c;\u732b\u7684\u5c3e\u5df4\u662f\u7ec6\u7684\u2026\u2026\u201d\u2014\u2014\u7136\u540e\u8ba9\u8ba1\u7b97\u673a\u6309\u7167\u8fd9\u4e9b\u89c4\u5219\u5224\u65ad\u3002\u4f46&#034;\u5c16\u8033\u6735&#034;\u8fd9\u4e2a\u89c4\u5219\u600e\u4e48\u5199&#xff1f;\u591a\u5c16\u7b97\u5c16&#xff1f;\u4e0d\u540c\u54c1\u79cd\u7684\u732b\u8033\u6735\u5f62\u72b6\u5dee\u5f02\u5f88\u5927&#xff0c;\u4e0d\u540c\u89d2\u5ea6\u62cd\u51fa\u6765\u7684\u8033\u6735\u4e5f\u4e0d\u4e00\u6837\u3002\u89c4\u5219\u5199\u5230\u5410\u4e5f\u5199\u4e0d\u5b8c\u3002<\/p>\n<p>\u673a\u5668\u5b66\u4e60\u7684\u65b9\u5f0f\u5b8c\u5168\u4e0d\u540c&#xff1a;\u7ed9\u7b97\u6cd5\u770b\u5341\u4e07\u5f20\u6807\u6ce8\u4e86&#034;\u732b&#034;\u6216&#034;\u72d7&#034;\u7684\u56fe\u7247&#xff0c;\u7b97\u6cd5\u81ea\u5df1\u4ece\u8fd9\u4e9b\u56fe\u7247\u4e2d&#034;\u5b66\u4e60&#034;\u51fa\u732b\u548c\u72d7\u7684\u533a\u522b\u7279\u5f81\u3002\u5b83\u5b66\u5230\u7684\u4e0d\u662f\u4eba\u7c7b\u5b9a\u4e49\u7684&#034;\u5c16\u8033\u6735&#034;\u89c4\u5219&#xff0c;\u800c\u662f\u50cf\u7d20\u7ea7\u522b\u7684\u62bd\u8c61\u6a21\u5f0f\u2014\u2014\u8fd9\u4e9b\u6a21\u5f0f\u4eba\u7c7b\u53ef\u80fd\u65e0\u6cd5\u7528\u8bed\u8a00\u63cf\u8ff0&#xff0c;\u4f46\u673a\u5668&#034;\u77e5\u9053&#034;\u600e\u4e48\u7528\u5b83\u4eec\u6765\u533a\u5206\u732b\u548c\u72d7\u3002<\/p>\n<p>\u673a\u5668\u5b66\u4e60\u7684\u5e38\u89c1\u65b9\u6cd5&#xff1a;<\/p>\n<table>\n<tr>\u65b9\u6cd5\u6838\u5fc3\u601d\u60f3\u5178\u578b\u5e94\u7528<\/tr>\n<tbody>\n<tr>\n<td>\u7ebf\u6027\u56de\u5f52<\/td>\n<td>\u627e\u4e00\u6761\u76f4\u7ebf\u62df\u5408\u6570\u636e\u70b9&#xff0c;\u9884\u6d4b\u8fde\u7eed\u503c<\/td>\n<td>\u623f\u4ef7\u9884\u6d4b\u3001\u9500\u552e\u989d\u9884\u6d4b<\/td>\n<\/tr>\n<tr>\n<td>\u903b\u8f91\u56de\u5f52<\/td>\n<td>\u5c06\u7ebf\u6027\u56de\u5f52\u7684\u8f93\u51fa\u6620\u5c04\u5230 0-1&#xff0c;\u7528\u4e8e\u5206\u7c7b<\/td>\n<td>\u5783\u573e\u90ae\u4ef6\u5206\u7c7b\u3001\u75be\u75c5\u9884\u6d4b<\/td>\n<\/tr>\n<tr>\n<td>\u51b3\u7b56\u6811<\/td>\n<td>\u901a\u8fc7\u4e00\u7cfb\u5217&#034;\u5982\u679c-\u90a3\u4e48&#034;\u89c4\u5219\u8fdb\u884c\u51b3\u7b56<\/td>\n<td>\u4fe1\u7528\u8bc4\u4f30\u3001\u5ba2\u6237\u5206\u7c7b<\/td>\n<\/tr>\n<tr>\n<td>\u968f\u673a\u68ee\u6797<\/td>\n<td>\u591a\u68f5\u51b3\u7b56\u6811\u7684\u96c6\u5408&#xff0c;\u6295\u7968\u51b3\u5b9a\u6700\u7ec8\u7ed3\u679c<\/td>\n<td>\u9ad8\u7cbe\u5ea6\u5206\u7c7b\u548c\u56de\u5f52<\/td>\n<\/tr>\n<tr>\n<td>\u652f\u6301\u5411\u91cf\u673a&#xff08;SVM&#xff09;<\/td>\n<td>\u627e\u5230\u6700\u4f18\u5206\u7c7b\u8fb9\u754c&#xff0c;\u6700\u5927\u5316\u7c7b\u522b\u95f4\u8ddd<\/td>\n<td>\u6587\u672c\u5206\u7c7b\u3001\u56fe\u50cf\u8bc6\u522b<\/td>\n<\/tr>\n<tr>\n<td>K-Means \u805a\u7c7b<\/td>\n<td>\u5c06\u6570\u636e\u81ea\u52a8\u5206\u7ec4&#xff0c;\u7ec4\u5185\u76f8\u4f3c\u3001\u7ec4\u95f4\u5dee\u5f02<\/td>\n<td>\u7528\u6237\u5206\u7fa4\u3001\u5f02\u5e38\u68c0\u6d4b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>3.4 \u6df1\u5ea6\u5b66\u4e60&#xff08;DL&#xff09;\u2014\u2014\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u529b\u91cf<\/h4>\n<p>\u6df1\u5ea6\u5b66\u4e60&#xff08;Deep Learning&#xff09;\u4e4b\u6240\u4ee5\u53eb&#034;\u6df1\u5ea6&#034;&#xff0c;\u662f\u56e0\u4e3a\u5b83\u4f7f\u7528\u4e86\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u2014\u2014\u6bcf\u4e00\u5c42\u4ece\u4e0a\u4e00\u5c42\u63d0\u53d6\u7684\u7279\u5f81\u4e2d\u7ee7\u7eed\u5b66\u4e60\u66f4\u62bd\u8c61\u7684\u7279\u5f81\u3002<\/p>\n<p>\u7528\u4e00\u4e2a\u89c6\u89c9\u8bc6\u522b\u7684\u4f8b\u5b50\u6765\u8bf4\u660e\u6df1\u5ea6\u5b66\u4e60\u7684\u5de5\u4f5c\u539f\u7406&#xff1a;<\/p>\n<ul>\n<li>\u7b2c 1 \u5c42&#xff1a;\u8bc6\u522b\u6700\u57fa\u672c\u7684\u8fb9\u7f18\u548c\u989c\u8272\u5757&#xff08;\u201c\u8fd9\u6761\u7ebf\u662f\u76f4\u7684\u8fd8\u662f\u5f2f\u7684\u201d&#xff09;<\/li>\n<li>\u7b2c 2 \u5c42&#xff1a;\u5c06\u8fb9\u7f18\u7ec4\u5408\u6210\u7b80\u5355\u5f62\u72b6&#xff08;\u201c\u8fd9\u4e9b\u7ebf\u7ec4\u6210\u4e86\u4e00\u4e2a\u5706\u201d&#xff09;<\/li>\n<li>\u7b2c 3 \u5c42&#xff1a;\u8bc6\u522b\u66f4\u590d\u6742\u7684\u56fe\u6848&#xff08;\u201c\u8fd9\u4e2a\u5706\u52a0\u4e0a\u4e24\u4e2a\u4e09\u89d2\u5f62&#xff0c;\u770b\u8d77\u6765\u50cf\u732b\u7684\u8138\u201d&#xff09;<\/li>\n<li>\u7b2c 4 \u5c42&#xff1a;\u8bc6\u522b\u5b8c\u6574\u7684\u7269\u4f53&#xff08;\u201c\u8fd9\u662f\u4e00\u53ea\u732b\u201d&#xff09;<\/li>\n<li>\u66f4\u6df1\u5c42&#xff1a;\u8bc6\u522b\u573a\u666f\u548c\u5173\u7cfb&#xff08;\u201c\u4e00\u53ea\u732b\u5750\u5728\u6c99\u53d1\u4e0a&#xff0c;\u65c1\u8fb9\u6709\u4e00\u672c\u4e66\u201d&#xff09;<\/li>\n<\/ul>\n<p>\u6df1\u5ea6\u5b66\u4e60\u7684\u5173\u952e\u7a81\u7834\u5728\u4e8e&#xff1a;\u4e0d\u9700\u8981\u4eba\u5de5\u8bbe\u8ba1\u7279\u5f81\u3002\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u9700\u8981\u4eba\u7c7b\u4e13\u5bb6\u5148&#034;\u63d0\u53d6\u7279\u5f81&#034;\u2014\u2014\u6bd4\u5982\u8bc6\u522b\u732b\u4e4b\u524d&#xff0c;\u5148\u624b\u52a8\u5b9a\u4e49&#034;\u732b\u7684\u7279\u5f81\u662f\u5c16\u8033\u6735\u3001\u5706\u8138\u3001\u957f\u80e1\u987b&#034;\u3002\u6df1\u5ea6\u5b66\u4e60\u5b8c\u5168\u4e0d\u9700\u8981\u8fd9\u4e00\u6b65\u2014\u2014\u5b83\u81ea\u5df1\u4ece\u539f\u59cb\u50cf\u7d20\u4e2d\u9010\u5c42\u5b66\u4e60\u7279\u5f81\u3002\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u6df1\u5ea6\u5b66\u4e60\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u9886\u57df\u53d6\u5f97\u4e86\u8fdc\u8d85\u4f20\u7edf\u65b9\u6cd5\u7684\u6210\u679c\u3002<\/p>\n<p>\u6df1\u5ea6\u5b66\u4e60\u7684\u6838\u5fc3\u6280\u672f&#xff1a;<\/p>\n<table>\n<tr>\u6280\u672f\u6838\u5fc3\u601d\u60f3\u5178\u578b\u5e94\u7528<\/tr>\n<tbody>\n<tr>\n<td>CNN&#xff08;\u5377\u79ef\u795e\u7ecf\u7f51\u7edc&#xff09;<\/td>\n<td>\u901a\u8fc7\u5377\u79ef\u6838\u5728\u56fe\u50cf\u4e0a\u6ed1\u52a8&#xff0c;\u5c40\u90e8\u611f\u77e5<\/td>\n<td>\u56fe\u50cf\u8bc6\u522b\u3001\u76ee\u6807\u68c0\u6d4b<\/td>\n<\/tr>\n<tr>\n<td>RNN&#xff08;\u5faa\u73af\u795e\u7ecf\u7f51\u7edc&#xff09;<\/td>\n<td>\u5904\u7406\u5e8f\u5217\u6570\u636e&#xff0c;\u8bb0\u4f4f\u4e4b\u524d\u7684\u4fe1\u606f<\/td>\n<td>\u6587\u672c\u751f\u6210\u3001\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b<\/td>\n<\/tr>\n<tr>\n<td>LSTM \/ GRU<\/td>\n<td>\u6539\u8fdb\u7684 RNN&#xff0c;\u89e3\u51b3\u957f\u5e8f\u5217\u8bb0\u5fc6\u95ee\u9898<\/td>\n<td>\u673a\u5668\u7ffb\u8bd1\u3001\u8bed\u97f3\u8bc6\u522b<\/td>\n<\/tr>\n<tr>\n<td>Transformer<\/td>\n<td>\u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff0c;\u5e76\u884c\u5904\u7406\u5e8f\u5217<\/td>\n<td>\u6240\u6709\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u67b6\u6784<\/td>\n<\/tr>\n<tr>\n<td>GAN&#xff08;\u751f\u6210\u5bf9\u6297\u7f51\u7edc&#xff09;<\/td>\n<td>\u751f\u6210\u5668\u4e0e\u5224\u522b\u5668\u5bf9\u6297\u8bad\u7ec3<\/td>\n<td>\u56fe\u50cf\u751f\u6210\u3001\u98ce\u683c\u8fc1\u79fb<\/td>\n<\/tr>\n<tr>\n<td>Diffusion Model<\/td>\n<td>\u9010\u6b65\u53bb\u566a\u751f\u6210\u9ad8\u8d28\u91cf\u56fe\u50cf<\/td>\n<td>Stable Diffusion\u3001DALL-E<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>3.5 \u4e3a\u4ec0\u4e48\u662f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u65f6\u4ee3<\/h4>\n<p>\u5f53\u524d AI \u9886\u57df\u6700\u70ed\u95e8\u7684&#034;\u5927\u8bed\u8a00\u6a21\u578b&#034;&#xff08;LLM&#xff09;\u5c5e\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u8303\u7574&#xff0c;\u5177\u4f53\u6765\u8bf4&#xff0c;\u5b83\u4eec\u90fd\u57fa\u4e8e Transformer \u67b6\u6784\u3002Transformer \u5728 2017 \u5e74\u7531 Google \u63d0\u51fa&#xff08;\u8bba\u6587\u6807\u9898\u300aAttention Is All You Need\u300b&#xff09;&#xff0c;\u5b83\u7684\u6838\u5fc3\u521b\u65b0\u662f\u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff08;Self-Attention&#xff09;\u2014\u2014\u8ba9\u6a21\u578b\u5728\u5904\u7406\u4e00\u4e2a\u8bcd\u65f6&#xff0c;\u80fd\u591f\u540c\u65f6&#034;\u5173\u6ce8&#034;\u53e5\u5b50\u4e2d\u7684\u6240\u6709\u5176\u4ed6\u8bcd&#xff0c;\u7406\u89e3\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n<p>\u8fd9\u4e2a\u673a\u5236\u7684\u91cd\u8981\u6027\u600e\u4e48\u5f3a\u8c03\u90fd\u4e0d\u8fc7\u5206\u3002\u5728 Transformer \u51fa\u73b0\u4e4b\u524d&#xff0c;\u5904\u7406\u6587\u672c\u5e8f\u5217\u7684\u4e3b\u6d41\u65b9\u5f0f\u662f RNN\/LSTM\u2014\u2014\u5b83\u4eec\u5fc5\u987b\u6309\u987a\u5e8f\u5904\u7406\u6bcf\u4e2a\u8bcd&#xff0c;\u5904\u7406\u7b2c 100 \u4e2a\u8bcd\u65f6\u5fc5\u987b&#034;\u8bb0\u4f4f&#034;\u524d\u9762 99 \u4e2a\u8bcd\u7684\u610f\u601d\u3002\u8fd9\u5bfc\u81f4\u4e24\u4e2a\u95ee\u9898&#xff1a;\u5904\u7406\u901f\u5ea6\u6162&#xff08;\u5fc5\u987b\u4e32\u884c&#xff09;&#xff0c;\u4ee5\u53ca&#034;\u8bb0\u5fc6&#034;\u5728\u957f\u5e8f\u5217\u4e2d\u9010\u6e10\u8870\u51cf\u3002Transformer \u7684\u81ea\u6ce8\u610f\u529b\u673a\u5236\u8ba9\u6240\u6709\u8bcd\u53ef\u4ee5\u540c\u65f6\u88ab\u5904\u7406&#xff0c;\u800c\u4e14\u4efb\u610f\u4e24\u4e2a\u8bcd\u4e4b\u95f4\u7684&#034;\u8ddd\u79bb&#034;\u90fd\u662f 1 \u6b65\u2014\u2014\u65e0\u8bba\u5b83\u4eec\u5728\u53e5\u5b50\u4e2d\u79bb\u5f97\u591a\u8fdc\u3002<\/p>\n<p>Transformer \u7684\u53e6\u4e00\u4e2a\u5173\u952e\u7279\u6027\u662f\u53ef\u6269\u5c55\u6027&#xff1a;\u5b83\u7684\u67b6\u6784\u5929\u7136\u9002\u5408\u5927\u89c4\u6a21\u5e76\u884c\u8ba1\u7b97&#xff08;GPU\/TPU&#xff09;&#xff0c;\u8fd9\u8ba9\u8bad\u7ec3\u8d85\u5927\u6a21\u578b\u6210\u4e3a\u53ef\u80fd\u3002\u4ece GPT-1&#xff08;1.17 \u4ebf\u53c2\u6570&#xff09;\u5230 GPT-4&#xff08;\u636e\u4f30\u8ba1\u8d85\u8fc7 1 \u4e07\u4ebf\u53c2\u6570&#xff09;&#xff0c;\u4ece BERT \u5230 Claude Opus&#xff0c;\u6a21\u578b\u53c2\u6570\u91cf\u7684\u6307\u6570\u7ea7\u589e\u957f&#xff0c;\u5e26\u6765\u4e86\u80fd\u529b\u7684\u8d28\u53d8\u2014\u2014\u8fd9\u5c31\u662f&#034;\u5927&#034;\u8bed\u8a00\u6a21\u578b\u4e2d&#034;\u5927&#034;\u5b57\u7684\u542b\u4e49\u3002<\/p>\n<hr \/>\n<h3>\u4e94\u3001Transformer \u67b6\u6784\u6df1\u5ea6\u89e3\u6790&#xff1a;\u5927\u8bed\u8a00\u6a21\u578b\u7684&#034;\u53d1\u52a8\u673a&#034;<\/h3>\n<h4>5.1 \u4e3a\u4ec0\u4e48 Transformer \u6539\u53d8\u4e86\u4e16\u754c<\/h4>\n<p>\u5728 Transformer \u51fa\u73b0\u4e4b\u524d&#xff0c;\u5904\u7406\u6587\u672c\u5e8f\u5217\u7684\u4e3b\u6d41\u65b9\u5f0f\u662f RNN&#xff08;\u5faa\u73af\u795e\u7ecf\u7f51\u7edc&#xff09;\u548c LSTM&#xff08;\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc&#xff09;\u3002\u5b83\u4eec\u6709\u4e00\u4e2a\u5171\u540c\u7684\u81f4\u547d\u7f3a\u9677&#xff1a;\u5fc5\u987b\u6309\u987a\u5e8f\u5904\u7406\u6bcf\u4e2a\u8bcd\u3002\u5904\u7406\u7b2c 100 \u4e2a\u8bcd\u65f6&#xff0c;\u5fc5\u987b&#034;\u8bb0\u4f4f&#034;\u524d\u9762 99 \u4e2a\u8bcd\u7684\u610f\u601d\u3002\u8fd9\u5bfc\u81f4&#xff1a;<\/p>\n<ul>\n<li>\u5904\u7406\u901f\u5ea6\u6162&#xff08;\u5fc5\u987b\u4e32\u884c&#xff0c;\u65e0\u6cd5\u5e76\u884c&#xff09;<\/li>\n<li>&#034;\u8bb0\u5fc6&#034;\u5728\u957f\u5e8f\u5217\u4e2d\u9010\u6e10\u8870\u51cf&#xff08;\u68af\u5ea6\u6d88\u5931\u95ee\u9898&#xff09;<\/li>\n<li>\u65e0\u6cd5\u6709\u6548\u5229\u7528 GPU \u7684\u5e76\u884c\u8ba1\u7b97\u80fd\u529b<\/li>\n<\/ul>\n<p>2017 \u5e74&#xff0c;Google \u7684\u516b\u4f4d\u7814\u7a76\u8005&#xff08;Vaswani \u7b49&#xff09;\u53d1\u8868\u4e86\u4e00\u7bc7\u9898\u76ee\u6781\u5176\u5927\u80c6\u7684\u8bba\u6587&#xff1a;\u300aAttention Is All You Need\u300b&#xff08;\u6ce8\u610f\u529b\u5c31\u662f\u4f60\u6240\u9700\u8981\u7684\u5168\u90e8&#xff09;\u3002\u8fd9\u7bc7\u8bba\u6587\u63d0\u51fa\u7684 Transformer \u67b6\u6784&#xff0c;\u7528**\u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff08;Self-Attention&#xff09;**\u5f7b\u5e95\u66ff\u4ee3\u4e86 RNN \u7684\u5faa\u73af\u7ed3\u6784&#xff0c;\u8ba9\u6240\u6709\u8bcd\u53ef\u4ee5\u540c\u65f6\u88ab\u5904\u7406&#xff0c;\u800c\u4e14\u4efb\u610f\u4e24\u4e2a\u8bcd\u4e4b\u95f4\u7684&#034;\u8ddd\u79bb&#034;\u90fd\u662f 1 \u6b65\u2014\u2014\u65e0\u8bba\u5b83\u4eec\u5728\u53e5\u5b50\u4e2d\u79bb\u5f97\u591a\u8fdc\u3002<\/p>\n<p>\u8fd9\u7bc7\u8bba\u6587\u4e0d\u4ec5\u6539\u53d8\u4e86 NLP \u7684\u65b9\u5411&#xff0c;\u8fd8\u4e3a\u540e\u6765\u7684 GPT\u3001BERT\u3001Claude\u3001Gemini \u7b49\u6240\u6709\u5927\u8bed\u8a00\u6a21\u578b\u5960\u5b9a\u4e86\u57fa\u7840\u3002\u53ef\u4ee5\u8bf4&#xff0c;\u6ca1\u6709 Transformer&#xff0c;\u5c31\u6ca1\u6709\u4eca\u5929\u7684\u5927\u8bed\u8a00\u6a21\u578b\u65f6\u4ee3\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091730-6a91522ab39f7.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h4>5.2 Transformer \u7684\u6574\u4f53\u67b6\u6784<\/h4>\n<p>Transformer \u7531**\u7f16\u7801\u5668&#xff08;Encoder&#xff09;\u548c\u89e3\u7801\u5668&#xff08;Decoder&#xff09;**\u4e24\u90e8\u5206\u7ec4\u6210&#xff0c;\u6bcf\u90e8\u5206\u7531\u591a\u4e2a\u76f8\u540c\u7684\u5c42\u5806\u53e0\u800c\u6210&#xff08;\u539f\u6587\u4e2d N&#061;6&#xff09;\u3002<\/p>\n<p>\u7f16\u7801\u5668&#xff1a;\u63a5\u6536\u8f93\u5165\u5e8f\u5217&#xff0c;\u5c06\u5176\u8f6c\u6362\u4e3a\u4e00\u7cfb\u5217&#034;\u4e0a\u4e0b\u6587\u611f\u77e5&#034;\u7684\u5411\u91cf\u8868\u793a\u3002\u6bcf\u4e2a\u7f16\u7801\u5668\u5c42\u5305\u542b\u4e24\u4e2a\u5b50\u5c42&#xff1a;<\/p>\n<li>\u591a\u5934\u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff08;Multi-Head Self-Attention&#xff09;<\/li>\n<li>\u524d\u9988\u795e\u7ecf\u7f51\u7edc&#xff08;Feed-Forward Network&#xff09;<\/li>\n<p>\u6bcf\u4e2a\u5b50\u5c42\u540e\u9762\u90fd\u6709\u4e00\u4e2a&#034;\u6b8b\u5dee\u8fde\u63a5&#xff08;Add&#xff09;\u201c\u548c&#034;\u5c42\u5f52\u4e00\u5316&#xff08;Norm&#xff09;\u201d\u3002\u6b8b\u5dee\u8fde\u63a5\u8ba9\u4fe1\u606f\u53ef\u4ee5\u7ed5\u8fc7\u5b50\u5c42\u76f4\u63a5\u4f20\u9012&#xff0c;\u89e3\u51b3\u4e86\u6df1\u5c42\u7f51\u7edc\u7684\u8bad\u7ec3\u56f0\u96be\u95ee\u9898\u3002<\/p>\n<p>\u89e3\u7801\u5668&#xff1a;\u63a5\u6536\u7f16\u7801\u5668\u7684\u8f93\u51fa\u548c\u4e4b\u524d\u5df2\u751f\u6210\u7684\u8f93\u51fa&#xff0c;\u9010\u6b65\u751f\u6210\u76ee\u6807\u5e8f\u5217\u3002\u6bcf\u4e2a\u89e3\u7801\u5668\u5c42\u6bd4\u7f16\u7801\u5668\u591a\u4e00\u4e2a\u5b50\u5c42&#xff1a;<\/p>\n<li>\u63a9\u7801\u591a\u5934\u81ea\u6ce8\u610f\u529b&#xff08;Masked Multi-Head Self-Attention&#xff09;\u2014\u2014\u786e\u4fdd\u5728\u751f\u6210\u7b2c i \u4e2a\u8bcd\u65f6&#xff0c;\u53ea\u80fd\u770b\u5230\u524d i-1 \u4e2a\u8bcd<\/li>\n<li>\u4ea4\u53c9\u6ce8\u610f\u529b&#xff08;Cross-Attention&#xff09;\u2014\u2014\u5173\u6ce8\u7f16\u7801\u5668\u7684\u8f93\u51fa<\/li>\n<li>\u524d\u9988\u795e\u7ecf\u7f51\u7edc<\/li>\n<h4>5.3 \u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff1a;\u6838\u5fc3\u4e2d\u7684\u6838\u5fc3<\/h4>\n<p>\u81ea\u6ce8\u610f\u529b\u673a\u5236\u662f Transformer \u7684&#034;\u7075\u9b42&#034;\u3002\u5b83\u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u8ba9\u5e8f\u5217\u4e2d\u7684\u6bcf\u4e2a\u8bcd&#xff0c;\u90fd\u80fd\u76f4\u63a5&#034;\u770b\u5230&#034;\u5e8f\u5217\u4e2d\u7684\u6240\u6709\u5176\u4ed6\u8bcd&#xff0c;\u5e76\u8ba1\u7b97\u51fa\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u8054\u7a0b\u5ea6\u3002<\/p>\n<p>\u5177\u4f53\u6765\u8bf4&#xff0c;\u81ea\u6ce8\u610f\u529b\u673a\u5236\u7684\u8ba1\u7b97\u8fc7\u7a0b\u5206\u4e3a\u56db\u6b65&#xff1a;<\/p>\n<p>\u7b2c\u4e00\u6b65&#xff1a;\u751f\u6210 Q\u3001K\u3001V \u77e9\u9635<\/p>\n<p>\u5bf9\u4e8e\u8f93\u5165\u5e8f\u5217\u4e2d\u7684\u6bcf\u4e2a\u8bcd&#xff0c;\u6a21\u578b\u901a\u8fc7\u4e09\u4e2a\u4e0d\u540c\u7684\u7ebf\u6027\u53d8\u6362&#xff0c;\u751f\u6210\u4e09\u4e2a\u5411\u91cf&#xff1a;<\/p>\n<ul>\n<li>Q&#xff08;Query&#xff0c;\u67e5\u8be2&#xff09;&#xff1a;\u4ee3\u8868&#034;\u6211\u5728\u627e\u4ec0\u4e48&#034;\u3002\u6bcf\u4e2a\u8bcd\u901a\u8fc7 Q \u5411\u91cf\u6765\u8868\u8fbe&#034;\u6211\u60f3\u4e86\u89e3\u4ec0\u4e48\u4fe1\u606f&#034;<\/li>\n<li>K&#xff08;Key&#xff0c;\u952e&#xff09;&#xff1a;\u4ee3\u8868&#034;\u6211\u80fd\u63d0\u4f9b\u4ec0\u4e48&#034;\u3002\u6bcf\u4e2a\u8bcd\u901a\u8fc7 K \u5411\u91cf\u6765\u8868\u8fbe&#034;\u6211\u5305\u542b\u4e86\u4ec0\u4e48\u4fe1\u606f&#034;<\/li>\n<li>V&#xff08;Value&#xff0c;\u503c&#xff09;&#xff1a;\u4ee3\u8868&#034;\u6211\u5b9e\u9645\u5305\u542b\u7684\u5185\u5bb9&#034;\u3002\u6bcf\u4e2a\u8bcd\u901a\u8fc7 V \u5411\u91cf\u6765\u8868\u8fbe&#034;\u6211\u5b9e\u9645\u8981\u4f20\u9012\u7684\u4fe1\u606f&#034;<\/li>\n<\/ul>\n<p>\u53ef\u4ee5\u628a Q\u3001K\u3001V \u7c7b\u6bd4\u4e3a\u641c\u7d22\u5f15\u64ce\u4e2d\u7684&#034;\u641c\u7d22\u8bcd&#034;\u3001\u201c\u7f51\u9875\u6807\u9898&#034;\u548c&#034;\u7f51\u9875\u5185\u5bb9\u201d\u2014\u2014\u4f60\u8f93\u5165\u641c\u7d22\u8bcd&#xff08;Q&#xff09;&#xff0c;\u7cfb\u7edf\u5339\u914d\u6807\u9898&#xff08;K&#xff09;&#xff0c;\u8fd4\u56de\u5185\u5bb9&#xff08;V&#xff09;\u3002<\/p>\n<p>\u7b2c\u4e8c\u6b65&#xff1a;\u8ba1\u7b97\u6ce8\u610f\u529b\u5206\u6570<\/p>\n<p>\u5bf9\u4e8e\u6bcf\u4e2a\u8bcd&#xff0c;\u8ba1\u7b97\u5b83\u7684 Q \u5411\u91cf\u4e0e\u6240\u6709\u8bcd\u7684 K \u5411\u91cf\u7684\u70b9\u79ef&#xff08;\u5185\u79ef&#xff09;\u3002\u70b9\u79ef\u8d8a\u5927&#xff0c;\u8bf4\u660e\u4e24\u4e2a\u8bcd\u7684\u76f8\u5173\u6027\u8d8a\u9ad8\u3002<\/p>\n<p>\u6ce8\u610f\u529b\u5206\u6570\u77e9\u9635 &#061; Q \u00d7 K^T<\/p>\n<p># \u5982\u679c\u5e8f\u5217\u957f\u5ea6\u4e3a 4&#xff0c;\u5219\u5f97\u5230\u4e00\u4e2a 4\u00d74 \u7684\u77e9\u9635<br \/>\n# \u77e9\u9635\u4e2d\u7b2c i \u884c\u7b2c j \u5217\u7684\u503c&#xff0c;\u8868\u793a&#034;\u7b2c i \u4e2a\u8bcd\u5bf9\u7b2c j \u4e2a\u8bcd\u7684\u5173\u6ce8\u7a0b\u5ea6&#034;<\/p>\n<p>\u7b2c\u4e09\u6b65&#xff1a;\u7f29\u653e &#043; Softmax<\/p>\n<p>\u5c06\u6ce8\u610f\u529b\u5206\u6570\u9664\u4ee5 \u221ad_k&#xff08;d_k \u662f K \u5411\u91cf\u7684\u7ef4\u5ea6&#xff09;&#xff0c;\u7136\u540e\u7ecf\u8fc7 Softmax \u8f6c\u6362\u4e3a\u6982\u7387\u5206\u5e03\u3002\u9664\u4ee5 \u221ad_k \u662f\u4e3a\u4e86\u9632\u6b62\u70b9\u79ef\u8fc7\u5927\u5bfc\u81f4 Softmax \u7684\u68af\u5ea6\u6d88\u5931\u3002<\/p>\n<p>\u6ce8\u610f\u529b\u6743\u91cd &#061; Softmax(\u6ce8\u610f\u529b\u5206\u6570 \/ \u221ad_k)<\/p>\n<p>\u7b2c\u56db\u6b65&#xff1a;\u52a0\u6743\u6c42\u548c<\/p>\n<p>\u5c06\u6ce8\u610f\u529b\u6743\u91cd\u4e0e V \u77e9\u9635\u76f8\u4e58&#xff0c;\u5f97\u5230\u6700\u7ec8\u7684\u8f93\u51fa\u3002\u6bcf\u4e2a\u8bcd\u7684\u8f93\u51fa\u662f\u6240\u6709\u8bcd V \u5411\u91cf\u7684\u52a0\u6743\u5e73\u5747&#xff0c;\u6743\u91cd\u7531\u6ce8\u610f\u529b\u5206\u6570\u51b3\u5b9a\u3002<\/p>\n<p>\u8f93\u51fa &#061; \u6ce8\u610f\u529b\u6743\u91cd \u00d7 V<\/p>\n<p>\u4e00\u4e2a\u76f4\u89c2\u7684\u4f8b\u5b50&#xff1a;<\/p>\n<p>\u5047\u8bbe\u8f93\u5165\u53e5\u5b50\u662f&#xff1a;\u201c\u6211\u5728\u5403\u4e00\u4e2a\u82f9\u679c&#xff0c;\u5b83\u5f88\u751c\u201d\u3002<\/p>\n<p>\u5bf9\u4e8e&#034;\u5b83&#034;\u8fd9\u4e2a\u8bcd&#xff0c;\u81ea\u6ce8\u610f\u529b\u673a\u5236\u4f1a\u8ba1\u7b97\u51fa\u5b83\u548c&#034;\u82f9\u679c&#034;\u7684\u5173\u8054\u5ea6\u6700\u9ad8&#xff08;\u56e0\u4e3a&#034;\u5b83&#034;\u6307\u4ee3\u7684\u662f&#034;\u82f9\u679c&#034;&#xff09;&#xff0c;\u548c&#034;\u751c&#034;\u7684\u5173\u8054\u5ea6\u6b21\u4e4b&#xff08;\u56e0\u4e3a&#034;\u751c&#034;\u662f\u82f9\u679c\u7684\u5c5e\u6027&#xff09;&#xff0c;\u548c&#034;\u6211&#034;\u3001&#034;\u5403&#034;\u7684\u5173\u8054\u5ea6\u8f83\u4f4e\u3002<\/p>\n<p>\u6240\u4ee5&#034;\u5b83&#034;\u7684\u6700\u7ec8\u8f93\u51fa\u5411\u91cf\u4e2d&#xff0c;\u4f1a\u878d\u5165\u66f4\u591a\u6765\u81ea&#034;\u82f9\u679c&#034;\u548c&#034;\u751c&#034;\u7684\u4fe1\u606f&#xff0c;\u800c\u4e0d\u662f&#034;\u6211&#034;\u548c&#034;\u5403&#034;\u7684\u4fe1\u606f\u3002\u8fd9\u5c31\u662f\u81ea\u6ce8\u610f\u529b\u673a\u5236\u7684\u6838\u5fc3\u4ef7\u503c\u2014\u2014\u5b83\u8ba9\u6bcf\u4e2a\u8bcd\u90fd\u80fd&#034;\u7406\u89e3&#034;\u5b83\u548c\u53e5\u5b50\u4e2d\u5176\u4ed6\u8bcd\u7684\u5173\u7cfb\u3002<\/p>\n<h4>5.4 \u591a\u5934\u6ce8\u610f\u529b&#xff08;Multi-Head Attention&#xff09;<\/h4>\n<p>\u5355\u5934\u6ce8\u610f\u529b\u53ea\u80fd\u5b66\u5230\u4e00\u79cd&#034;\u5173\u7cfb\u6a21\u5f0f&#034;\u3002\u591a\u5934\u6ce8\u610f\u529b\u5219\u662f\u540c\u65f6\u8fd0\u884c\u591a\u4e2a\u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff08;\u539f\u6587\u4e2d h&#061;8&#xff09;&#xff0c;\u6bcf\u4e2a&#034;\u5934&#034;\u5173\u6ce8\u4e0d\u540c\u7684\u5173\u7cfb\u6a21\u5f0f&#xff1a;<\/p>\n<ul>\n<li>\u5934 1 \u53ef\u80fd\u5173\u6ce8&#034;\u4e3b\u8c13\u5173\u7cfb&#034;&#xff08;\u201c\u6211&#034;\u2192&#034;\u5403\u201d&#xff09;<\/li>\n<li>\u5934 2 \u53ef\u80fd\u5173\u6ce8&#034;\u52a8\u5bbe\u5173\u7cfb&#034;&#xff08;\u201c\u5403&#034;\u2192&#034;\u82f9\u679c\u201d&#xff09;<\/li>\n<li>\u5934 3 \u53ef\u80fd\u5173\u6ce8&#034;\u4fee\u9970\u5173\u7cfb&#034;&#xff08;\u201c\u82f9\u679c&#034;\u2192&#034;\u751c\u201d&#xff09;<\/li>\n<li>\u5934 4 \u53ef\u80fd\u5173\u6ce8&#034;\u6307\u4ee3\u5173\u7cfb&#034;&#xff08;\u201c\u5b83&#034;\u2192&#034;\u82f9\u679c\u201d&#xff09;<\/li>\n<\/ul>\n<p>\u7136\u540e\u5c06\u6240\u6709\u5934\u7684\u8f93\u51fa\u62fc\u63a5\u5728\u4e00\u8d77&#xff0c;\u7ecf\u8fc7\u4e00\u4e2a\u7ebf\u6027\u53d8\u6362&#xff0c;\u5f97\u5230\u6700\u7ec8\u7684\u8f93\u51fa\u3002\u591a\u5934\u6ce8\u610f\u529b\u8ba9\u6a21\u578b\u80fd\u540c\u65f6\u4ece\u591a\u4e2a\u89d2\u5ea6\u7406\u89e3\u6587\u672c&#xff0c;\u8fd9\u662f\u5b83\u6bd4\u5355\u5934\u6ce8\u610f\u529b\u5f3a\u5927\u5f97\u591a\u7684\u539f\u56e0\u3002<\/p>\n<h4>5.5 \u4f4d\u7f6e\u7f16\u7801&#xff08;Positional Encoding&#xff09;<\/h4>\n<p>Transformer \u6ca1\u6709 RNN \u7684\u5faa\u73af\u7ed3\u6784&#xff0c;\u56e0\u6b64\u5b83\u6ca1\u6709\u5185\u7f6e\u7684&#034;\u4f4d\u7f6e\u611f\u77e5&#034;\u80fd\u529b\u2014\u2014\u6a21\u578b\u4e0d\u77e5\u9053&#034;\u6211&#034;\u5728&#034;\u5403&#034;\u7684\u524d\u9762\u8fd8\u662f\u540e\u9762\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898&#xff0c;Transformer \u5728\u8f93\u5165\u5d4c\u5165&#xff08;Input Embedding&#xff09;\u4e0a\u53e0\u52a0\u4e86\u4f4d\u7f6e\u7f16\u7801\u3002<\/p>\n<p>\u4f4d\u7f6e\u7f16\u7801\u662f\u4e00\u4e2a\u4e0e\u8f93\u5165\u5d4c\u5165\u7ef4\u5ea6\u76f8\u540c\u7684\u5411\u91cf&#xff0c;\u5b83\u5305\u542b\u4e86\u8bcd\u5728\u5e8f\u5217\u4e2d\u7684\u4f4d\u7f6e\u4fe1\u606f\u3002\u539f\u6587\u4f7f\u7528\u7684\u662f\u6b63\u5f26\/\u4f59\u5f26\u51fd\u6570\u751f\u6210\u7684\u4f4d\u7f6e\u7f16\u7801&#xff1a;<\/p>\n<p>PE(pos, 2i)   &#061; sin(pos \/ 10000^(2i\/d_model))<br \/>\nPE(pos, 2i&#043;1) &#061; cos(pos \/ 10000^(2i\/d_model))<\/p>\n<p># pos &#061; \u8bcd\u5728\u5e8f\u5217\u4e2d\u7684\u4f4d\u7f6e<br \/>\n# i &#061; \u4f4d\u7f6e\u7f16\u7801\u5411\u91cf\u7684\u7ef4\u5ea6\u7d22\u5f15<br \/>\n# d_model &#061; \u6a21\u578b\u7684\u5d4c\u5165\u7ef4\u5ea6<\/p>\n<p>\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f&#xff0c;\u6bcf\u4e2a\u4f4d\u7f6e\u90fd\u6709\u4e00\u4e2a\u552f\u4e00\u7684\u7f16\u7801&#xff0c;\u6a21\u578b\u53ef\u4ee5\u533a\u5206&#034;\u82f9\u679c\u5f88\u597d\u5403&#034;\u548c&#034;\u597d\u82f9\u679c\u5f88\u5403&#034;\u8fd9\u4e24\u4e2a\u5b8c\u5168\u4e0d\u540c\u7684\u53e5\u5b50\u3002<\/p>\n<h4>5.6 Transformer \u7684\u4e09\u79cd\u53d8\u4f53<\/h4>\n<p>\u81ea 2017 \u5e74\u4ee5\u6765&#xff0c;Transformer \u67b6\u6784\u6f14\u5316\u51fa\u4e86\u4e09\u79cd\u4e3b\u8981\u53d8\u4f53&#xff0c;\u5206\u522b\u5e94\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u666f&#xff1a;<\/p>\n<table>\n<tr>\u53d8\u4f53\u7ed3\u6784\u4ee3\u8868\u6a21\u578b\u6838\u5fc3\u80fd\u529b\u5178\u578b\u5e94\u7528<\/tr>\n<tbody>\n<tr>\n<td>\u4ec5\u7f16\u7801\u5668&#xff08;Encoder-only&#xff09;<\/td>\n<td>\u53ea\u4f7f\u7528\u7f16\u7801\u5668\u90e8\u5206<\/td>\n<td>BERT\u3001RoBERTa<\/td>\n<td>\u6587\u672c\u7406\u89e3\u3001\u5206\u7c7b\u3001\u62bd\u53d6<\/td>\n<td>\u60c5\u611f\u5206\u6790\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u3001\u641c\u7d22\u7ed3\u679c\u6392\u5e8f<\/td>\n<\/tr>\n<tr>\n<td>\u4ec5\u89e3\u7801\u5668&#xff08;Decoder-only&#xff09;<\/td>\n<td>\u53ea\u4f7f\u7528\u89e3\u7801\u5668\u90e8\u5206<\/td>\n<td>GPT \u7cfb\u5217\u3001Claude\u3001Llama<\/td>\n<td>\u6587\u672c\u751f\u6210\u3001\u5bf9\u8bdd<\/td>\n<td>ChatGPT\u3001AI \u5199\u4f5c\u3001\u4ee3\u7801\u751f\u6210<\/td>\n<\/tr>\n<tr>\n<td>\u7f16\u7801\u5668-\u89e3\u7801\u5668&#xff08;Encoder-Decoder&#xff09;<\/td>\n<td>\u5b8c\u6574\u4f7f\u7528\u4e24\u90e8\u5206<\/td>\n<td>T5\u3001BART\u3001\u539f\u59cb Transformer<\/td>\n<td>\u5e8f\u5217\u5230\u5e8f\u5217\u8f6c\u6362<\/td>\n<td>\u673a\u5668\u7ffb\u8bd1\u3001\u6587\u672c\u6458\u8981<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4e3a\u4ec0\u4e48 GPT \u7cfb\u5217\u53ea\u7528\u89e3\u7801\u5668&#xff1f;<\/p>\n<p>\u56e0\u4e3a GPT \u7684\u6838\u5fc3\u76ee\u6807\u662f&#034;\u751f\u6210\u6587\u672c&#034;\u2014\u2014\u7ed9\u5b9a\u524d\u9762\u7684\u5185\u5bb9&#xff0c;\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd\u3002\u89e3\u7801\u5668\u7684\u81ea\u56de\u5f52\u7279\u6027&#xff08;\u6bcf\u4e00\u6b65\u751f\u6210\u90fd\u4f9d\u8d56\u4e4b\u524d\u751f\u6210\u7684\u5185\u5bb9&#xff09;\u5929\u7136\u9002\u5408\u8fd9\u4e2a\u4efb\u52a1\u3002\u800c\u7f16\u7801\u5668\u7684\u53cc\u5411\u6ce8\u610f\u529b&#xff08;\u53ef\u4ee5\u770b\u5230\u6574\u4e2a\u5e8f\u5217&#xff09;\u5728\u751f\u6210\u4efb\u52a1\u4e2d\u53cd\u800c\u662f\u52a3\u52bf\u2014\u2014\u56e0\u4e3a\u751f\u6210\u65f6\u672a\u6765\u7684\u8bcd\u662f\u4e0d\u53ef\u89c1\u7684\u3002<\/p>\n<p>\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48 GPT \u7684\u5b8c\u6574\u540d\u79f0\u662f Generative Pre-trained Transformer&#xff08;\u751f\u6210\u5f0f\u9884\u8bad\u7ec3 Transformer&#xff09;\u2014\u2014&#034;\u751f\u6210\u5f0f&#034;\u8fd9\u4e09\u4e2a\u5b57&#xff0c;\u6697\u793a\u4e86\u5b83\u4f7f\u7528\u89e3\u7801\u5668\u67b6\u6784\u7684\u4e8b\u5b9e\u3002<\/p>\n<h4>5.7 \u4ece Transformer \u5230 GPT&#xff1a;\u7f29\u653e\u7684\u9b54\u529b<\/h4>\n<p>Transformer \u67b6\u6784\u7684\u53e6\u4e00\u4e2a\u5173\u952e\u7279\u6027\u662f\u53ef\u6269\u5c55\u6027&#xff1a;\u5b83\u7684\u67b6\u6784\u5929\u7136\u9002\u5408\u5927\u89c4\u6a21\u5e76\u884c\u8ba1\u7b97&#xff08;GPU\/TPU&#xff09;&#xff0c;\u8fd9\u8ba9\u8bad\u7ec3\u8d85\u5927\u6a21\u578b\u6210\u4e3a\u53ef\u80fd\u3002\u7814\u7a76\u8005\u4eec\u53d1\u73b0&#xff0c;\u53ea\u9700\u8981\u6269\u5927 Transformer \u7684\u89c4\u6a21&#xff08;\u66f4\u591a\u5c42\u3001\u66f4\u5bbd\u7ef4\u5ea6\u3001\u66f4\u591a\u8bad\u7ec3\u6570\u636e&#xff09;&#xff0c;\u6a21\u578b\u7684\u80fd\u529b\u5c31\u4f1a\u6301\u7eed\u63d0\u5347&#xff0c;\u751a\u81f3\u6d8c\u73b0\u51fa\u610f\u60f3\u4e0d\u5230\u7684\u80fd\u529b\u3002<\/p>\n<p>\u4ece GPT-1&#xff08;1.17 \u4ebf\u53c2\u6570&#xff09;\u5230 GPT-4&#xff08;\u636e\u4f30\u8ba1\u8d85\u8fc7 1 \u4e07\u4ebf\u53c2\u6570&#xff09;&#xff0c;\u53c2\u6570\u91cf\u7684\u6307\u6570\u7ea7\u589e\u957f\u5e26\u6765\u4e86\u80fd\u529b\u7684\u8d28\u53d8&#xff1a;<\/p>\n<ul>\n<li>GPT-1&#xff08;2018&#xff09;&#xff1a;\u80fd\u5b8c\u6210\u7b80\u5355\u7684\u53e5\u5b50\u8865\u5168<\/li>\n<li>GPT-2&#xff08;2019&#xff09;&#xff1a;\u80fd\u751f\u6210\u51e0\u6bb5\u8fde\u8d2f\u7684\u6587\u672c<\/li>\n<li>GPT-3&#xff08;2020&#xff09;&#xff1a;\u6d8c\u73b0\u51fa\u5c11\u6837\u672c\u5b66\u4e60\u80fd\u529b\u2014\u2014\u4e0d\u9700\u8981\u4e13\u95e8\u8bad\u7ec3\u5c31\u80fd\u5b8c\u6210\u7ffb\u8bd1\u3001\u7f16\u7a0b\u7b49\u4efb\u52a1<\/li>\n<li>GPT-4&#xff08;2023&#xff09;&#xff1a;\u591a\u6a21\u6001\u7406\u89e3\u3001\u9ad8\u7ea7\u63a8\u7406\u3001\u4ee3\u7801\u751f\u6210\u3001\u901a\u8fc7\u5f8b\u5e08\u8d44\u683c\u8003\u8bd5<\/li>\n<li>GPT-5.1&#xff08;2025-2026&#xff09;&#xff1a;\u539f\u751f\u591a\u6a21\u6001\u3001\u8d85\u5f3a\u63a8\u7406\u3001Agent \u81ea\u4e3b\u6267\u884c<\/li>\n<\/ul>\n<p>\u6574\u4e2a\u8fc7\u7a0b\u4e2d&#xff0c;\u6838\u5fc3\u67b6\u6784\u6ca1\u6709\u672c\u8d28\u53d8\u5316\u2014\u2014\u4ecd\u7136\u662f Transformer \u89e3\u7801\u5668\u3002\u53d8\u5316\u7684\u662f\u89c4\u6a21&#xff1a;\u66f4\u591a\u7684\u53c2\u6570\u3001\u66f4\u591a\u7684\u6570\u636e\u3001\u66f4\u591a\u7684\u7b97\u529b\u3002\u8fd9\u5c31\u662f Scaling Law&#xff08;\u7f29\u653e\u5b9a\u5f8b&#xff09;\u7684\u529b\u91cf\u3002<\/p>\n<hr \/>\n<h3>\u516d\u3001\u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM&#xff09;&#xff1a;\u6838\u5fc3\u6982\u5ff5\u4e0e\u4e3b\u6d41\u6a21\u578b\u76d8\u70b9<\/h3>\n<h4>4.1 \u4ec0\u4e48\u662f\u5927\u8bed\u8a00\u6a21\u578b<\/h4>\n<p>**LLM&#xff08;Large Language Model&#xff0c;\u5927\u8bed\u8a00\u6a21\u578b&#xff09;**\u662f\u4e00\u79cd\u57fa\u4e8e\u6d77\u91cf\u6587\u672c\u6570\u636e\u8bad\u7ec3\u3001\u80fd\u7406\u89e3\u548c\u751f\u6210\u4eba\u7c7b\u8bed\u8a00\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b [1]\u3002<\/p>\n<p>\u8fd9\u4e2a\u5b9a\u4e49\u4e2d\u7684\u4e09\u4e2a\u5173\u952e\u8bcd&#xff1a;<\/p>\n<ul>\n<li>\u6d77\u91cf\u6587\u672c\u6570\u636e&#xff1a;\u8bad\u7ec3\u6570\u636e\u91cf\u4ee5 TB \u4e3a\u5355\u4f4d\u3002GPT-4 \u7684\u8bad\u7ec3\u6570\u636e\u5305\u62ec\u4e86\u4e92\u8054\u7f51\u4e0a\u7684\u7f51\u9875\u3001\u4e66\u7c4d\u3001\u5b66\u672f\u8bba\u6587\u3001\u4ee3\u7801\u4ed3\u5e93\u3001\u7ef4\u57fa\u767e\u79d1\u7b49\u51e0\u4e4e\u6240\u6709\u516c\u5f00\u53ef\u83b7\u53d6\u7684\u6587\u672c\u3002\u8fd9\u610f\u5473\u7740\u6a21\u578b&#034;\u8bfb\u8fc7&#034;\u7684\u5185\u5bb9\u8fdc\u8d85\u4efb\u4f55\u4eba\u7c7b\u4e00\u751f\u80fd\u8bfb\u5b8c\u7684\u91cf\u3002<\/li>\n<li>\u7406\u89e3\u548c\u751f\u6210&#xff1a;LLM \u4e0d\u53ea\u662f&#034;\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd&#034;\u7684\u6587\u5b57\u63a5\u9f99\u673a\u5668\u3002\u5728\u8db3\u591f\u5927\u7684\u89c4\u6a21\u4e0b&#xff0c;\u6a21\u578b\u6d8c\u73b0\u51fa\u4e86\u771f\u6b63\u7684\u7406\u89e3\u80fd\u529b\u2014\u2014\u5b83\u80fd\u7406\u89e3\u4e0a\u4e0b\u6587\u3001\u7406\u89e3\u9690\u542b\u542b\u4e49\u3001\u7406\u89e3\u903b\u8f91\u5173\u7cfb\u3002\u540c\u65f6&#xff0c;\u5b83\u80fd\u751f\u6210\u6d41\u7545\u3001\u8fde\u8d2f\u3001\u6709\u903b\u8f91\u7684\u957f\u6587\u672c\u3002<\/li>\n<li>\u4eba\u7c7b\u8bed\u8a00&#xff1a;LLM \u4e3b\u8981\u5904\u7406\u7684\u662f\u81ea\u7136\u8bed\u8a00&#xff0c;\u4f46\u5b83\u7684\u80fd\u529b\u5df2\u7ecf\u6269\u5c55\u5230\u4ee3\u7801&#xff08;\u7f16\u7a0b\u8bed\u8a00\u672c\u8d28\u4e0a\u4e5f\u662f\u4e00\u79cd&#034;\u8bed\u8a00&#034;&#xff09;\u3001\u6570\u5b66\u516c\u5f0f\u3001\u7ed3\u6784\u5316\u6570\u636e\u7b49\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091731-6a91522b4b004.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h4>4.2 LLM \u7684\u6838\u5fc3\u80fd\u529b<\/h4>\n<p>LLM \u7684\u80fd\u529b\u53ef\u4ee5\u6982\u62ec\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762&#xff1a;<\/p>\n<p>\u6587\u672c\u751f\u6210&#xff1a;\u8fd9\u662f LLM \u6700\u57fa\u7840\u7684\u80fd\u529b\u3002\u7ed9\u5b9a\u4e00\u6bb5\u63d0\u793a\u8bcd&#xff0c;\u6a21\u578b\u751f\u6210\u8fde\u8d2f\u7684\u7eed\u5199\u6587\u672c\u3002\u8fd9\u5305\u62ec\u6587\u7ae0\u5199\u4f5c\u3001\u4ee3\u7801\u751f\u6210\u3001\u8bd7\u6b4c\u521b\u4f5c\u3001\u5bf9\u8bdd\u56de\u590d\u7b49\u3002<\/p>\n<p>\u4e0a\u4e0b\u6587\u7406\u89e3&#xff1a;LLM \u80fd\u7406\u89e3\u5bf9\u8bdd\u7684\u4e0a\u4e0b\u6587\u2014\u2014\u5305\u62ec\u4e4b\u524d\u8bf4\u8fc7\u7684\u8bdd\u3001\u9690\u542b\u7684\u610f\u56fe\u3001\u8bed\u6c14\u548c\u60c5\u611f\u3002\u5728\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;Context Window&#xff09;\u5185&#xff0c;\u6a21\u578b\u80fd\u4fdd\u6301\u5bf9\u5bf9\u8bdd\u5386\u53f2\u7684\u5b8c\u6574\u8bb0\u5fc6\u3002<\/p>\n<p>\u63a8\u7406\u80fd\u529b&#xff1a;\u8db3\u591f\u5927\u7684 LLM \u5c55\u73b0\u51fa\u4e86\u903b\u8f91\u63a8\u7406\u80fd\u529b\u3002\u5b83\u80fd\u5206\u6790\u95ee\u9898\u3001\u62c6\u89e3\u6b65\u9aa4\u3001\u63a8\u7406\u51fa\u7ed3\u8bba\u3002Chain-of-Thought&#xff08;\u94fe\u5f0f\u601d\u8003&#xff09;\u63d0\u793a\u6280\u672f\u5c31\u662f\u4e13\u95e8\u7528\u6765\u6fc0\u53d1\u6a21\u578b\u63a8\u7406\u80fd\u529b\u7684\u3002<\/p>\n<p>\u591a\u8bed\u8a00\u80fd\u529b&#xff1a;LLM \u7684\u8bad\u7ec3\u6570\u636e\u901a\u5e38\u5305\u542b\u591a\u79cd\u8bed\u8a00&#xff0c;\u56e0\u6b64\u5b83\u80fd\u7406\u89e3\u548c\u751f\u6210\u591a\u79cd\u8bed\u8a00\u7684\u6587\u672c\u3002\u50cf Qwen\u3001DeepSeek\u3001GLM \u7b49\u56fd\u4ea7\u6a21\u578b\u5728\u4e2d\u82f1\u6587\u53cc\u8bed\u80fd\u529b\u4e0a\u5c24\u5176\u51fa\u8272\u3002<\/p>\n<p>\u6307\u4ee4\u9075\u5faa&#xff1a;\u7ecf\u8fc7\u6307\u4ee4\u5fae\u8c03&#xff08;Instruction Tuning&#xff09;\u7684 LLM \u80fd\u51c6\u786e\u7406\u89e3\u5e76\u6267\u884c\u7528\u6237\u7684\u6307\u4ee4\u2014\u2014\u201c\u7528\u8868\u683c\u5217\u51fa\u201d\u3001\u201c\u7ffb\u8bd1\u6210\u82f1\u6587\u201d\u3001\u201c\u7528\u901a\u4fd7\u7684\u8bed\u8a00\u89e3\u91ca\u201d\u2014\u2014\u6a21\u578b\u4f1a\u6839\u636e\u6307\u4ee4\u8c03\u6574\u8f93\u51fa\u683c\u5f0f\u548c\u98ce\u683c\u3002<\/p>\n<h4>4.3 \u4e3b\u6d41\u5927\u8bed\u8a00\u6a21\u578b\u4e00\u89c8&#xff08;2026 \u5e74 6 \u6708&#xff09;<\/h4>\n<p>\u4ee5\u4e0b\u662f\u6700\u65b0\u4e3b\u6d41\u5927\u8bed\u8a00\u6a21\u578b\u7684\u76d8\u70b9&#xff0c;\u6309\u5f00\u53d1\u5546\u548c\u53d1\u5e03\u65f6\u95f4\u6392\u5217 [2][3][4]&#xff1a;<\/p>\n<h3>\u4e00\u3001\u56fd\u9645\u9876\u7ea7\u6a21\u578b<\/h3>\n<table>\n<tr>\u6a21\u578b\u5f00\u53d1\u5546\u6838\u5fc3\u7279\u6027\u4e0a\u4e0b\u6587\u7a97\u53e3\u7a81\u51fa\u4f18\u52bf<\/tr>\n<tbody>\n<tr>\n<td>GPT-5.5<\/td>\n<td>OpenAI&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>\u591a\u6a21\u6001&#xff0c;\u539f\u751f\u97f3\u89c6\u9891\u5904\u7406&#xff0c;\u8d85\u5f3a\u63a8\u7406&#xff0c;Agent\u539f\u751f\u652f\u6301&#xff0c;\u7f16\u7a0b\u80fd\u529b\u8d28\u53d8<\/td>\n<td>1M<\/td>\n<td>\u63a8\u7406\u80fd\u529b\u6700\u5f3a&#xff0c;\u5de5\u5177\u8c03\u7528\u6700\u7a33\u5b9a&#xff0c;\u7efc\u5408\u80fd\u529b\u9886\u5148&#xff0c;Terminal-Bench 82.7%<\/td>\n<\/tr>\n<tr>\n<td>GPT-5.1<\/td>\n<td>OpenAI&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>\u591a\u6a21\u6001&#xff0c;\u5b9e\u65f6\u97f3\u89c6\u9891\u4ea4\u4e92&#xff0c;\u81ea\u9002\u5e94\u63a8\u7406\u6a21\u5f0f<\/td>\n<td>400K<\/td>\n<td>\u6027\u4ef7\u6bd4\u9ad8&#xff0c;\u56fe\u50cf\u7406\u89e3\u80fd\u529b\u5f3a&#xff0c;\u751f\u6001\u6210\u719f<\/td>\n<\/tr>\n<tr>\n<td>Claude Opus 4.6<\/td>\n<td>Anthropic&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>1M\u4e0a\u4e0b\u6587&#xff08;\u5df2GA&#xff09;&#xff0c;\u81ea\u9002\u5e94\u63a8\u7406&#xff0c;128K\u8f93\u51fa&#xff0c;Context Compaction<\/td>\n<td>1M<\/td>\n<td>\u8d85\u957f\u6587\u6863\u5904\u7406\u3001\u7f16\u7a0b\u6700\u5f3a\u3001\u5b89\u5168\u5bf9\u9f50\u6807\u6746<\/td>\n<\/tr>\n<tr>\n<td>Claude Sonnet 4.6<\/td>\n<td>Anthropic&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>1M\u4e0a\u4e0b\u6587&#xff08;\u5df2GA&#xff09;&#xff0c;\u5e73\u8861\u6027\u80fd\u4e0e\u6210\u672c&#xff0c;\u7f16\u7a0b\u80fd\u529b\u5f3a<\/td>\n<td>1M<\/td>\n<td>\u65e5\u5e38\u4f7f\u7528\u7684\u6027\u4ef7\u6bd4\u4e4b\u9009&#xff0c;\u957f\u6587\u6863\u5904\u7406<\/td>\n<\/tr>\n<tr>\n<td>Claude Sonnet 4.5<\/td>\n<td>Anthropic&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>\u5e73\u8861\u6027\u80fd\u4e0e\u6210\u672c&#xff0c;\u7f16\u7a0b\u80fd\u529b\u5f3a&#xff0c;\u667a\u80fd\u4f53\u957f\u65f6\u8fd0\u884c<\/td>\n<td>200K<\/td>\n<td>\u65e5\u5e38\u4f7f\u7528\u7684\u6027\u4ef7\u6bd4\u4e4b\u9009&#xff08;\u5df2\u4e0b\u7ebf&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>Gemini 2.5 Pro<\/td>\n<td>Google&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>\u591a\u6a21\u6001&#xff0c;\u6df1\u5ea6\u878d\u5408\u641c\u7d22&#xff0c;Deep Think\u6df1\u5ea6\u63a8\u7406<\/td>\n<td>1M&#xff08;\u8ba1\u5212\u6269\u5c55\u81f32M&#xff09;<\/td>\n<td>\u4e0a\u4e0b\u6587\u7a97\u53e3\u6700\u5927\u4e4b\u4e00&#xff0c;MMLU-Pro\u9886\u5148&#xff0c;\u641c\u7d22\u96c6\u6210<\/td>\n<\/tr>\n<tr>\n<td>Gemini 2.5 Flash<\/td>\n<td>Google&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>\u591a\u6a21\u6001&#xff0c;\u8d85\u4f4e\u5ef6\u8fdf&#xff0c;\u9ad8\u541e\u5410<\/td>\n<td>1M<\/td>\n<td>\u6027\u4ef7\u6bd4\u9ad8&#xff0c;\u5feb\u901f\u54cd\u5e94&#xff0c;\u9002\u5408\u5927\u89c4\u6a21\u5e94\u7528<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u4e8c\u3001\u4e2d\u56fd\u56fd\u4ea7\u6a21\u578b<\/h3>\n<table>\n<tr>\u6a21\u578b\u5f00\u53d1\u5546\u6838\u5fc3\u7279\u6027\u4e0a\u4e0b\u6587\u7a97\u53e3\u7a81\u51fa\u4f18\u52bf<\/tr>\n<tbody>\n<tr>\n<td>DeepSeek V4<\/td>\n<td>DeepSeek&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u63a8\u7406\u4e0e\u7f16\u7a0b\u80fd\u529b\u6781\u5f3a&#xff0c;\u6210\u672c\u6781\u4f4e&#xff0c;1.6T\u53c2\u6570MoE<\/td>\n<td>1M<\/td>\n<td>SWE-bench\u9886\u5148&#xff0c;\u590d\u6742\u903b\u8f91\u63a8\u7406&#xff0c;\u5f00\u6e90MIT\u534f\u8bae<\/td>\n<\/tr>\n<tr>\n<td>DeepSeek V3.2<\/td>\n<td>DeepSeek&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>671B\u53c2\u6570&#xff0c;37B\u6fc0\u6d3b&#xff0c;DSA\u7a00\u758f\u6ce8\u610f\u529b<\/td>\n<td>128K<\/td>\n<td>\u6027\u4ef7\u6bd4\u4e4b\u738b&#xff0c;\u5f00\u6e90MIT\u534f\u8bae<\/td>\n<\/tr>\n<tr>\n<td>DeepSeek-R1<\/td>\n<td>DeepSeek&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u63a8\u7406\u80fd\u529b\u6781\u5f3a&#xff0c;\u6210\u672c\u6781\u4f4e<\/td>\n<td>128K<\/td>\n<td>\u63a8\u7406\u6027\u4ef7\u6bd4\u4e4b\u738b&#xff0c;\u5f00\u6e90<\/td>\n<\/tr>\n<tr>\n<td>Qwen 3.5 (235B)<\/td>\n<td>\u963f\u91cc&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u5168\u6808AI\u80fd\u529b&#xff0c;\u963f\u91cc\u4e91\u751f\u6001&#xff0c;\u539f\u751f\u591a\u6a21\u6001<\/td>\n<td>\u6700\u9ad81M&#xff08;Plus\/Flash 256K&#xff09;<\/td>\n<td>\u4e2d\u6587\u80fd\u529b\u6700\u5f3a&#xff0c;\u7535\u5546\/\u4f01\u4e1a\u573a\u666f&#xff0c;\u652f\u63011M\u957f\u4e0a\u4e0b\u6587<\/td>\n<\/tr>\n<tr>\n<td>Qwen 3<\/td>\n<td>\u963f\u91cc&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u5f00\u6e90&#xff0c;MoE\u67b6\u6784&#xff0c;8\u6b3e\u6a21\u578b\u4ece0.6B\u5230235B<\/td>\n<td>262K&#xff08;\u53ef\u6269\u5c55\u81f31M via YaRN&#xff09;<\/td>\n<td>\u5f00\u6e90\u793e\u533a\u6d3b\u8dc3&#xff0c;\u53ef\u79c1\u6709\u5316\u90e8\u7f72&#xff0c;\u591a\u89c4\u683c\u9009\u62e9<\/td>\n<\/tr>\n<tr>\n<td>GLM-5.2<\/td>\n<td>\u667a\u8c31AI&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u767e\u4e07\u4e0a\u4e0b\u6587&#xff0c;\u7f16\u7a0bAgent&#xff0c;MIT\u534f\u8bae\u5f00\u6e90<\/td>\n<td>1M<\/td>\n<td>\u767e\u4e07\u4e0a\u4e0b\u6587\u5f00\u6e90\u65d7\u8230&#xff0c;\u7f16\u7a0b\u80fd\u529b\u5f3a&#xff0c;\u53ef\u5546\u7528<\/td>\n<\/tr>\n<tr>\n<td>GLM-5.1<\/td>\n<td>\u667a\u8c31AI&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u4e0a\u4e0b\u6587\u7406\u89e3&#xff0c;\u591a\u4efb\u52a1\u5904\u7406<\/td>\n<td>200K<\/td>\n<td>\u4e2d\u6587\u7406\u89e3&#xff0c;\u672c\u571f\u5316\u9002\u914d<\/td>\n<\/tr>\n<tr>\n<td>Kimi K2.6<\/td>\n<td>\u6708\u4e4b\u6697\u9762&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u8d85\u957f\u4e0a\u4e0b\u6587&#xff0c;\u8054\u7f51\u641c\u7d22&#xff0c;Thinking\u6a21\u5f0f<\/td>\n<td>256K<\/td>\n<td>\u957f\u6587\u7406\u89e3&#xff0c;\u8054\u7f51\u641c\u7d22&#xff0c;\u6027\u4ef7\u6bd4\u9ad8<\/td>\n<\/tr>\n<tr>\n<td>Kimi K2.7 Code<\/td>\n<td>\u6708\u4e4b\u6697\u9762&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u7f16\u7a0b\u4e13\u7528&#xff0c;MoE\u67b6\u6784&#xff0c;MIT\u534f\u8bae\u5f00\u6e90<\/td>\n<td>256K<\/td>\n<td>\u7f16\u7a0b\u80fd\u529b\u5f3a&#xff0c;\u5f00\u6e90\u53ef\u5546\u7528<\/td>\n<\/tr>\n<tr>\n<td>\u8c46\u5305&#xff08;Doubao-Seed-2.0&#xff09;<\/td>\n<td>\u5b57\u8282\u8df3\u52a8&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u4e0e\u6296\u97f3\u751f\u6001\u6df1\u5ea6\u96c6\u6210&#xff0c;\u6d88\u8d39\u7ea7\u5e94\u7528<\/td>\n<td>128K<\/td>\n<td>\u6d88\u8d39\u7ea7\u5e94\u7528&#xff0c;\u4ebf\u7ea7\u7528\u6237&#xff0c;\u591a\u6a21\u6001<\/td>\n<\/tr>\n<tr>\n<td>\u6df7\u5143<\/td>\n<td>\u817e\u8baf&#xff08;\u4e2d\u56fd&#xff09;<\/td>\n<td>\u5fae\u4fe1\/\u817e\u8baf\u4e91\u751f\u6001&#xff0c;\u4f01\u4e1a\u7ea7\u5b89\u5168<\/td>\n<td>128K<\/td>\n<td>\u4f01\u4e1a\u7ea7\u5b89\u5168&#xff0c;\u793e\u4ea4\u573a\u666f&#xff0c;\u817e\u8baf\u751f\u6001\u96c6\u6210<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u4e09\u3001\u5f00\u6e90\u6a21\u578b<\/h3>\n<table>\n<tr>\u6a21\u578b\u5f00\u53d1\u5546\u6838\u5fc3\u7279\u6027\u4e0a\u4e0b\u6587\u7a97\u53e3\u7a81\u51fa\u4f18\u52bf<\/tr>\n<tbody>\n<tr>\n<td>Llama 4 Scout<\/td>\n<td>Meta&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>\u5f00\u6e90&#xff0c;\u591a\u6a21\u6001&#xff0c;MoE\u67b6\u6784&#xff0c;17B\u6fc0\u6d3b\/109B\u603b\u53c2\u6570<\/td>\n<td>10M<\/td>\n<td>\u5168\u7403\u6700\u5927\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff0c;\u5f00\u6e90\u793e\u533a&#xff0c;\u53ef\u79c1\u6709\u5316\u90e8\u7f72<\/td>\n<\/tr>\n<tr>\n<td>Llama 4 Maverick<\/td>\n<td>Meta&#xff08;\u7f8e\u56fd&#xff09;<\/td>\n<td>\u5f00\u6e90&#xff0c;\u591a\u6a21\u6001&#xff0c;MoE\u67b6\u6784&#xff0c;17B\u6fc0\u6d3b\/400B\u603b\u53c2\u6570<\/td>\n<td>1M<\/td>\n<td>\u9ad8\u8d28\u91cf\u5f00\u6e90&#xff0c;\u53ef\u79c1\u6709\u5316\u90e8\u7f72&#xff0c;\u4f01\u4e1a\u7ea7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u4e94\u3001\u8bb8\u53ef\u8bc1\u901f\u67e5<\/h3>\n<table>\n<tr>\u8bb8\u53ef\u8bc1\u7c7b\u578b\u53ef\u5546\u7528\u4ee3\u8868\u6a21\u578b<\/tr>\n<tbody>\n<tr>\n<td>MIT\u534f\u8bae<\/td>\n<td>\u2705 \u5b8c\u5168\u53ef\u5546\u7528<\/td>\n<td>DeepSeek V4, GLM-5.2, Kimi K2.7 Code<\/td>\n<\/tr>\n<tr>\n<td>Apache 2.0<\/td>\n<td>\u2705 \u5b8c\u5168\u53ef\u5546\u7528<\/td>\n<td>Llama 4\u7cfb\u5217<\/td>\n<\/tr>\n<tr>\n<td>\u5546\u4e1a\u6388\u6743<\/td>\n<td>\u274c \u9700\u4ed8\u8d39<\/td>\n<td>GPT\u7cfb\u5217, Claude\u7cfb\u5217, Gemini\u7cfb\u5217<\/td>\n<\/tr>\n<tr>\n<td>\u9650\u5236\u6027\u5f00\u6e90<\/td>\n<td>\u26a0\ufe0f \u9700\u5ba1\u6279<\/td>\n<td>\u90e8\u5206\u56fd\u4ea7\u6a21\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u516d\u3001\u4e0a\u4e0b\u6587\u7a97\u53e3\u6392\u884c\u699c<\/h3>\n<table>\n<tr>\u6392\u540d\u6a21\u578b\u4e0a\u4e0b\u6587\u7a97\u53e3<\/tr>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Llama 4 Scout<\/td>\n<td>10M<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Gemini 2.5 Pro&#xff08;\u8ba1\u5212&#xff09;<\/td>\n<td>2M<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>GPT-5.5 \/ Claude Opus 4.6 \/ Sonnet 4.6 \/ DeepSeek V4 \/ GLM-5.2<\/td>\n<td>1M<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Gemini 2.5 Pro \/ Flash \/ Qwen 3.5\u65d7\u8230\u7248 \/ Llama 4 Maverick<\/td>\n<td>1M<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>GPT-5.1 \/ Qwen 3<\/td>\n<td>400K \/ 262K<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Claude Sonnet 4.5 \/ GLM-5.1<\/td>\n<td>200K<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Kimi K2.6 \/ K2.7<\/td>\n<td>256K<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>DeepSeek V3.2 \/ R1 \/ \u8c46\u5305 \/ \u6df7\u5143<\/td>\n<td>128K<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<p>\u6570\u636e\u6765\u6e90&#xff1a;\u5404\u6a21\u578b\u5b98\u65b9\u6587\u6863\u3001\u6280\u672f\u62a5\u544a\u3001API\u89c4\u683c\u8bf4\u660e&#xff08;2026\u5e746\u6708&#xff09; \u9009\u62e9\u6a21\u578b\u7684\u6838\u5fc3\u8003\u91cf\u56e0\u7d20&#xff1a;<\/p>\n<ul>\n<li>\u4efb\u52a1\u7c7b\u578b&#xff1a;\u7f16\u7a0b\u4efb\u52a1 Claude \u7cfb\u5217\u8868\u73b0\u4f18\u79c0&#xff1b;\u63a8\u7406\u4efb\u52a1 GPT-5.1 \u548c DeepSeek-R1 \u90fd\u5f88\u5f3a&#xff1b;\u4e2d\u6587\u4efb\u52a1 Qwen \u548c GLM \u6709\u5929\u7136\u4f18\u52bf<\/li>\n<li>\u6210\u672c\u9884\u7b97&#xff1a;DeepSeek \u7cfb\u5217\u7684 API \u4ef7\u683c\u6781\u4f4e&#xff08;\u8f93\u5165 $0.14\/\u767e\u4e07 Token&#xff0c;\u8f93\u51fa $0.28\/\u767e\u4e07 Token&#xff09;&#xff0c;\u662f\u9884\u7b97\u6709\u9650\u65f6\u7684\u9996\u9009&#xff1b;GPT-5.1 \u548c Claude Opus 4.6 \u4ef7\u683c\u6700\u9ad8\u4f46\u80fd\u529b\u6700\u5f3a<\/li>\n<li>\u4e0a\u4e0b\u6587\u957f\u5ea6&#xff1a;\u9700\u8981\u5904\u7406\u8d85\u957f\u6587\u6863&#xff08;\u5982 20 \u4e07\u5b57\u7684\u5408\u540c\u3001\u4ee3\u7801\u5e93&#xff09;\u65f6&#xff0c;Claude \u548c Gemini \u7684\u8d85\u957f\u4e0a\u4e0b\u6587\u7a97\u53e3\u662f\u521a\u9700<\/li>\n<li>\u6570\u636e\u9690\u79c1&#xff1a;\u9700\u8981\u79c1\u6709\u5316\u90e8\u7f72\u65f6&#xff0c;Llama 4\u3001Qwen\u3001DeepSeek \u7b49\u5f00\u6e90\u6a21\u578b\u662f\u552f\u4e00\u9009\u62e9<\/li>\n<\/ul>\n<hr \/>\n<h3>\u4e03\u3001Prompt&#xff08;\u63d0\u793a\u8bcd&#xff09;&#xff1a;\u7ed3\u6784\u3001\u7c7b\u578b\u4e0e\u5de5\u7a0b\u5316\u65b9\u6cd5<\/h3>\n<h4>5.1 \u4ec0\u4e48\u662f Prompt<\/h4>\n<p>**Prompt&#xff08;\u63d0\u793a\u8bcd&#xff09;**\u662f\u7528\u6237\u6216\u7cfb\u7edf\u63d0\u4f9b\u7ed9\u5927\u8bed\u8a00\u6a21\u578b\u7684\u6307\u4ee4\u6216\u6587\u672c&#xff0c;\u7528\u4e8e\u5f15\u5bfc\u6a21\u578b\u751f\u6210\u7279\u5b9a\u8f93\u51fa\u3002\u5b83\u662f\u4eba\u4e0e LLM \u4ea4\u4e92\u7684&#034;\u63a5\u53e3&#034;\u2014\u2014Prompt \u7684\u8d28\u91cf\u76f4\u63a5\u51b3\u5b9a\u4e86\u8f93\u51fa\u7ed3\u679c\u7684\u8d28\u91cf\u3002<\/p>\n<p>\u53ef\u4ee5\u628a Prompt \u7406\u89e3\u4e3a&#034;\u7ed9 AI \u4e0b\u8fbe\u7684\u4efb\u52a1\u8bf4\u660e\u4e66&#034;\u3002\u4e00\u4efd\u597d\u7684\u8bf4\u660e\u4e66&#xff0c;\u5e94\u8be5\u5305\u542b&#xff1a;\u4efb\u52a1\u662f\u4ec0\u4e48\u3001\u80cc\u666f\u4fe1\u606f\u3001\u8f93\u51fa\u683c\u5f0f\u3001\u98ce\u683c\u8981\u6c42\u3001\u7ea6\u675f\u6761\u4ef6\u3002\u5199\u5f97\u8d8a\u6e05\u695a&#xff0c;AI \u5b8c\u6210\u5f97\u8d8a\u597d\u3002<\/p>\n<p>\u90a3\u4e48\u5173\u4e8e\u63d0\u793a\u8bcd\u7684\u89e3\u6790&#xff0c;\u6211\u4e4b\u524d\u4e5f\u6709\u4e00\u7bc7\u6587\u7ae0\u6709\u8fdb\u884c\u89e3\u6790&#xff0c;\u5927\u5bb6\u53ef\u4ee5\u53bb\u770b\u770b\u3002<\/p>\n<h4>5.2 \u7cfb\u7edf\u63d0\u793a\u8bcd vs \u7528\u6237\u63d0\u793a\u8bcd<\/h4>\n<p>Prompt \u5206\u4e3a\u4e24\u4e2a\u5c42\u6b21&#xff0c;\u5b83\u4eec\u7684\u89d2\u8272\u548c\u751f\u547d\u5468\u671f\u5b8c\u5168\u4e0d\u540c&#xff1a;<\/p>\n<table>\n<tr>\u7ef4\u5ea6\u7528\u6237\u63d0\u793a\u8bcd&#xff08;User Prompt&#xff09;\u7cfb\u7edf\u63d0\u793a\u8bcd&#xff08;System Prompt&#xff09;<\/tr>\n<tbody>\n<tr>\n<td>\u5b9a\u4e49<\/td>\n<td>\u7531\u7ec8\u7aef\u7528\u6237\u76f4\u63a5\u8f93\u5165&#xff0c;\u89e6\u53d1\u5355\u6b21\u4efb\u52a1<\/td>\n<td>\u7531\u5f00\u53d1\u8005\u9884\u8bbe&#xff0c;\u5d4c\u5165\u7cfb\u7edf\u540e\u7aef<\/td>\n<\/tr>\n<tr>\n<td>\u6838\u5fc3\u529f\u80fd<\/td>\n<td>\u4f20\u8fbe\u5373\u65f6\u9700\u6c42&#xff08;\u63d0\u95ee\u3001\u6307\u4ee4&#xff09;<\/td>\n<td>\u5b9a\u4e49\u6a21\u578b\u89d2\u8272\u3001\u884c\u4e3a\u89c4\u8303\u3001\u77e5\u8bc6\u8fb9\u754c<\/td>\n<\/tr>\n<tr>\n<td>\u751f\u547d\u5468\u671f<\/td>\n<td>\u5355\u6b21\u5bf9\u8bdd<\/td>\n<td>\u6301\u7eed\u5f71\u54cd\u6240\u6709\u4ea4\u4e92<\/td>\n<\/tr>\n<tr>\n<td>\u7c7b\u6bd4<\/td>\n<td>\u64cd\u4f5c\u6307\u4ee4<\/td>\n<td>\u64cd\u4f5c\u7cfb\u7edf<\/td>\n<\/tr>\n<tr>\n<td>\u793a\u4f8b<\/td>\n<td>\u7528\u6237\u8f93\u5165&#xff1a;\u201c\u67e5\u8be2\u8ba2\u5355 #12345\u201d<\/td>\n<td>\u9884\u8bbe&#xff1a;\u201c\u4f60\u662f\u4e00\u540d\u5ba2\u670d&#xff0c;\u7528\u53cb\u597d\u8bed\u6c14\u89e3\u7b54\u95ee\u9898&#xff0c;\u4e0d\u77e5\u9053\u5c31\u8bf4\u4e0d\u77e5\u9053\u201d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u7cfb\u7edf\u63d0\u793a\u8bcd\u5982\u540c&#034;\u64cd\u4f5c\u7cfb\u7edf&#034;&#xff0c;\u5b83\u5b9a\u4e49\u4e86 AI \u7684\u5e95\u5c42\u884c\u4e3a\u89c4\u5219\u2014\u2014\u5b83\u662f\u4ec0\u4e48\u89d2\u8272\u3001\u5b83\u5e94\u8be5\u7528\u4ec0\u4e48\u8bed\u6c14\u3001\u5b83\u77e5\u9053\u4ec0\u4e48\u4e0d\u77e5\u9053\u4ec0\u4e48\u3001\u5b83\u4e0d\u80fd\u505a\u4ec0\u4e48\u3002\u7528\u6237\u63d0\u793a\u8bcd\u5982\u540c&#034;\u64cd\u4f5c\u6307\u4ee4&#034;&#xff0c;\u5b83\u9a71\u52a8\u5355\u6b21\u4efb\u52a1\u2014\u2014\u201c\u7ffb\u8bd1\u8fd9\u6bb5\u6587\u5b57\u201d\u3001\u201c\u5e2e\u6211\u5199\u4e00\u7bc7\u6587\u7ae0\u201d\u3001\u201c\u5206\u6790\u8fd9\u4e2a\u6570\u636e\u201d\u3002<\/p>\n<p>\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u5178\u578b\u5185\u5bb9&#xff1a;<\/p>\n<p>\u4f60\u662f\u4e00\u4e2a\u4e13\u4e1a\u7684\u6280\u672f\u652f\u6301\u52a9\u624b&#xff0c;\u4e3a\u516c\u53f8\u7684 SaaS \u4ea7\u54c1\u63d0\u4f9b\u6280\u672f\u652f\u6301\u3002<\/p>\n<p>\u884c\u4e3a\u51c6\u5219&#xff1a;<br \/>\n&#8211; \u56de\u7b54\u7b80\u6d01\u51c6\u786e&#xff0c;\u5148\u8bf4\u7ed3\u8bba\u518d\u5c55\u5f00\u7ec6\u8282<br \/>\n&#8211; \u5f53\u4e0d\u786e\u5b9a\u65f6&#xff0c;\u660e\u786e\u8bf4\u660e&#034;\u6211\u4e0d\u786e\u5b9a&#034;&#xff0c;\u7edd\u4e0d\u7f16\u9020\u4fe1\u606f<br \/>\n&#8211; \u4f18\u5148\u5f15\u5bfc\u7528\u6237\u67e5\u770b\u5b98\u65b9\u6587\u6863\u4e2d\u7684\u76f8\u5173\u7ae0\u8282<br \/>\n&#8211; \u5904\u7406\u654f\u611f\u4fe1\u606f&#xff08;\u5982\u8d26\u53f7\u3001\u5bc6\u7801&#xff09;\u65f6&#xff0c;\u4e3b\u52a8\u63d0\u9192\u7528\u6237\u6ce8\u610f\u5b89\u5168<br \/>\n&#8211; \u5bf9\u4e8e\u9700\u8981\u64cd\u4f5c\u6570\u636e\u5e93\u6216\u670d\u52a1\u5668\u7684\u8bf7\u6c42&#xff0c;\u5fc5\u987b\u786e\u8ba4\u7528\u6237\u6709\u76f8\u5e94\u6743\u9650<\/p>\n<p>\u77e5\u8bc6\u8fb9\u754c&#xff1a;<br \/>\n&#8211; \u4f60\u4e86\u89e3\u4ea7\u54c1\u7684\u6240\u6709\u516c\u5f00\u529f\u80fd<br \/>\n&#8211; \u4f60\u4e0d\u4e86\u89e3\u672a\u516c\u5f00\u7684\u5185\u90e8 API<br \/>\n&#8211; \u4f60\u65e0\u6cd5\u8bbf\u95ee\u7528\u6237\u7684\u771f\u5b9e\u6570\u636e<\/p>\n<h4>5.3 \u63d0\u793a\u8bcd\u7684\u57fa\u672c\u7ed3\u6784&#xff1a;CO-STAR \u6846\u67b6<\/h4>\n<p>\u8bbe\u8ba1\u63d0\u793a\u8bcd\u65f6&#xff0c;\u53ef\u4ee5\u9075\u5faa CO-STAR \u7ed3\u6784\u5316\u6846\u67b6&#xff0c;\u5b83\u786e\u4fdd\u63d0\u793a\u8bcd\u8986\u76d6\u4e86\u6240\u6709\u5173\u952e\u7ef4\u5ea6 [5]&#xff1a;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091731-6a91522beeb57.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<table>\n<tr>\u7f29\u5199\u542b\u4e49\u8bf4\u660e\u793a\u4f8b<\/tr>\n<tbody>\n<tr>\n<td>C<\/td>\n<td>Context&#xff08;\u80cc\u666f&#xff09;<\/td>\n<td>\u63d0\u4f9b\u8db3\u591f\u7684\u80cc\u666f\u4fe1\u606f&#xff0c;\u5e2e\u52a9 AI \u7406\u89e3\u4efb\u52a1\u7684\u4e0a\u4e0b\u6587\u548c\u73af\u5883<\/td>\n<td>\u201c\u5e73\u53f0&#xff1a;\u5fae\u4fe1\u516c\u4f17\u53f7&#xff0c;\u8bfb\u8005 20-35 \u5c81&#xff0c;\u665a\u4e0a 9 \u70b9\u53d1\u5e03\u201d<\/td>\n<\/tr>\n<tr>\n<td>O<\/td>\n<td>Objective&#xff08;\u76ee\u6807&#xff09;<\/td>\n<td>\u660e\u786e\u8bf4\u660e\u5e0c\u671b AI \u5b8c\u6210\u7684\u5177\u4f53\u76ee\u6807\u6216\u4efb\u52a1<\/td>\n<td>\u201c\u5199\u4e00\u7bc7\u7ea6 300 \u5b57\u7684\u7f8e\u98df\u77ed\u6587\u201d<\/td>\n<\/tr>\n<tr>\n<td>S<\/td>\n<td>Style&#xff08;\u98ce\u683c&#xff09;<\/td>\n<td>\u6307\u5b9a AI \u751f\u6210\u5185\u5bb9\u7684\u98ce\u683c<\/td>\n<td>\u201c\u5e02\u4e95\u70df\u706b\u6c14&#xff0c;\u8f7b\u5feb\u723d\u5229&#xff0c;\u53e3\u8bed\u5316\u201d<\/td>\n<\/tr>\n<tr>\n<td>T<\/td>\n<td>Tone&#xff08;\u8bed\u6c14&#xff09;<\/td>\n<td>\u786e\u5b9a AI \u751f\u6210\u5185\u5bb9\u7684\u8bed\u8c03<\/td>\n<td>\u201c\u70ed\u60c5\u998b\u4eba&#xff0c;\u50cf\u670b\u53cb\u6df1\u591c\u53d1\u7f8e\u98df\u7167\u7247\u201d<\/td>\n<\/tr>\n<tr>\n<td>A<\/td>\n<td>Audience&#xff08;\u53d7\u4f17&#xff09;<\/td>\n<td>\u63cf\u8ff0\u76ee\u6807\u53d7\u4f17\u7684\u7279\u5f81<\/td>\n<td>\u201c20-35 \u5c81\u57ce\u5e02\u767d\u9886&#xff0c;\u665a\u4e0a 9 \u70b9\u6709\u70b9\u997f\u201d<\/td>\n<\/tr>\n<tr>\n<td>R<\/td>\n<td>Response&#xff08;\u54cd\u5e94\u683c\u5f0f&#xff09;<\/td>\n<td>\u6307\u5b9a AI \u56de\u5e94\u7684\u683c\u5f0f\u548c\u5177\u4f53\u8981\u6c42<\/td>\n<td>\u201c\u6807\u9898\u4e0d\u8d85\u8fc7 15 \u5b57&#xff0c;\u6b63\u6587\u5206 3 \u6bb5&#xff0c;\u6bcf\u6bb5\u7a7a\u4e00\u884c\u201d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>CO-STAR \u6846\u67b6\u7684\u5b9e\u6218\u4f8b\u5b50&#xff1a;<\/p>\n<p>\u3010\u89d2\u8272\u3011<br \/>\n\u4f60\u662f\u4e00\u540d\u8d44\u6df1\u7f8e\u98df\u4e13\u680f\u4f5c\u5bb6&#xff0c;\u64c5\u957f\u7528\u6587\u5b57&#034;\u8ba9\u8bfb\u8005\u6d41\u53e3\u6c34&#034;\u3002<\/p>\n<p>\u3010\u80cc\u666f\u3011<br \/>\n&#8211; \u5e73\u53f0&#xff1a;\u5fae\u4fe1\u516c\u4f17\u53f7&#xff0c;\u8bfb\u8005 20-35 \u5c81&#xff0c;\u665a\u4e0a 9 \u70b9&#xff0c;\u6709\u70b9\u997f<br \/>\n&#8211; \u5bf9\u8c61&#xff1a;\u897f\u5b89\u8089\u5939\u998d&#xff08;\u814a\u6c41\u8089\u5939\u767d\u5409\u998d&#xff09;<br \/>\n&#8211; \u5356\u70b9&#xff1a;\u998d\u9165\u8106\u3001\u8089\u8f6f\u70c2\u3001\u80a5\u4e0d\u817b\u3001\u7626\u4e0d\u67f4<\/p>\n<p>\u3010\u4efb\u52a1\u3011<br \/>\n\u5199\u4e00\u7bc7\u7ea6 300 \u5b57\u7684\u7f8e\u98df\u77ed\u6587&#xff0c;\u8981\u6c42&#xff1a;<br \/>\n1. \u5f00\u5934\u7528\u4e00\u53e5\u8bdd\u6293\u4f4f\u6ce8\u610f\u529b<br \/>\n2. \u5206\u522b\u63cf\u5199&#034;\u998d&#034;\u548c&#034;\u8089&#034;&#xff0c;\u5404\u7528\u81f3\u5c11 1 \u4e2a\u6bd4\u55bb<br \/>\n3. \u7ed3\u5c3e\u8ba9\u8bfb\u8005\u4ea7\u751f&#034;\u73b0\u5728\u5c31\u60f3\u5403&#034;\u7684\u51b2\u52a8<br \/>\n4. \u81ea\u7136\u878d\u5165&#034;\u9165\u3001\u8106\u3001\u8f6f\u3001\u70c2\u3001\u9999&#034;5 \u4e2a\u5173\u952e\u8bcd<\/p>\n<p>\u3010\u8f93\u51fa\u683c\u5f0f\u3011<br \/>\n&#8211; \u6807\u9898&#xff1a;\u4e0d\u8d85\u8fc7 15 \u5b57<br \/>\n&#8211; \u6b63\u6587&#xff1a;\u5206 3 \u6bb5&#xff08;\u5f00\u5934 \/ \u63cf\u5199 \/ \u7ed3\u5c3e&#xff09;&#xff0c;\u6bcf\u6bb5\u7a7a\u4e00\u884c<\/p>\n<p>\u3010\u8865\u5145\u7ea6\u675f\u3011<br \/>\n&#8211; \u8bed\u6c14&#xff1a;\u70ed\u60c5\u998b\u4eba&#xff0c;\u50cf\u670b\u53cb\u6df1\u591c\u53d1\u7f8e\u98df\u7167\u7247&#xff1b;\u7528&#034;\u4f60&#034;\u5236\u9020\u5bf9\u8bdd\u611f&#xff0c;\u52a0\u62df\u58f0\u8bcd&#xff08;\u5494\u5693\u3001\u6ecb\u5566\u3001\u55ef&#xff5e;&#xff09;<br \/>\n&#8211; \u98ce\u683c&#xff1a;\u5e02\u4e95\u70df\u706b\u6c14&#xff0c;\u8f7b\u5feb\u723d\u5229&#xff1b;\u53e5\u5b50\u504f\u77ed&#xff0c;\u53e3\u8bed\u5316&#xff08;\u8d3c\u9999\u3001\u4e00\u53e3\u4e0b\u53bb\u3001\u6ca1\u8c01\u4e86&#xff09;<br \/>\n&#8211; \u4e0d\u5199\u5236\u4f5c\u8fc7\u7a0b&#xff0c;\u4e0d\u5199\u5e97\u94fa\u5730\u5740<br \/>\n&#8211; \u7981\u7528&#034;\u5782\u6d8e\u6b32\u6ef4&#034;&#034;\u56de\u5473\u65e0\u7a77&#034;&#034;\u5507\u9f7f\u7559\u9999&#034;\u7b49\u9648\u8bcd\u6ee5\u8c03<br \/>\n&#8211; \u6bcf\u6bb5\u81f3\u5c11\u4e00\u4e2a\u77ed\u53e5&#xff08;\u4e0d\u8d85\u8fc7 10 \u5b57&#xff09;<\/p>\n<p>\u8fd9\u4e2a\u4f8b\u5b50\u5c55\u793a\u4e86 CO-STAR \u6846\u67b6\u7684\u5b8c\u6574\u5e94\u7528&#xff1a;\u89d2\u8272\u5b9a\u4f4d&#xff08;\u7f8e\u98df\u4e13\u680f\u4f5c\u5bb6&#xff09;\u3001\u80cc\u666f\u4fe1\u606f&#xff08;\u5e73\u53f0\u3001\u8bfb\u8005\u3001\u5bf9\u8c61&#xff09;\u3001\u4efb\u52a1\u76ee\u6807&#xff08;300 \u5b57\u7f8e\u98df\u77ed\u6587&#xff09;\u3001\u8f93\u51fa\u683c\u5f0f&#xff08;\u6807\u9898 &#043; 3 \u6bb5\u6b63\u6587&#xff09;\u3001\u98ce\u683c\u7ea6\u675f&#xff08;\u70ed\u60c5\u3001\u53e3\u8bed\u5316\u3001\u7981\u7528\u9648\u8bcd\u6ee5\u8c03&#xff09;\u3002\u6bcf\u4e2a\u7ef4\u5ea6\u90fd\u4e3a AI \u7684\u751f\u6210\u63d0\u4f9b\u4e86\u660e\u786e\u7684\u6307\u5f15&#xff0c;\u51cf\u5c11\u4e86\u6a21\u7cca\u548c\u4e0d\u786e\u5b9a\u6027\u3002<\/p>\n<h4>5.4 \u4ec0\u4e48\u662f\u63d0\u793a\u8bcd\u5de5\u7a0b&#xff08;Prompt Engineering&#xff09;<\/h4>\n<p>**Prompt Engineering&#xff08;\u63d0\u793a\u8bcd\u5de5\u7a0b&#xff09;**\u662f\u6307\u901a\u8fc7\u8bbe\u8ba1\u548c\u4f18\u5316\u8f93\u5165\u7ed9\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63d0\u793a\u8bcd&#xff0c;\u6765\u5f15\u5bfc\u6a21\u578b\u751f\u6210\u66f4\u51c6\u786e\u3001\u66f4\u7a33\u5b9a\u3001\u66f4\u7b26\u5408\u9884\u671f\u7ed3\u679c\u7684\u4e00\u79cd\u5de5\u7a0b\u65b9\u6cd5\u3002<\/p>\n<p>\u5b83\u4e0d\u662f&#034;\u5199\u4e00\u53e5\u597d\u8bdd&#034;\u8fd9\u4e48\u7b80\u5355&#xff0c;\u800c\u662f\u4e00\u5957\u7cfb\u7edf\u7684\u65b9\u6cd5\u8bba&#xff0c;\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\u4efb\u52a1\u5206\u6790&#xff1a;\u7406\u89e3 AI \u9700\u8981\u5b8c\u6210\u4ec0\u4e48\u4efb\u52a1&#xff0c;\u786e\u5b9a\u5173\u952e\u7ea6\u675f\u6761\u4ef6\u548c\u6210\u529f\u6807\u51c6<\/li>\n<li>\u7ed3\u6784\u8bbe\u8ba1&#xff1a;\u9009\u62e9\u5408\u9002\u7684\u63d0\u793a\u8bcd\u6846\u67b6&#xff08;\u5982 CO-STAR&#xff09;&#xff0c;\u7ec4\u7ec7\u4fe1\u606f\u5c42\u6b21<\/li>\n<li>\u8fed\u4ee3\u4f18\u5316&#xff1a;\u6839\u636e\u8f93\u51fa\u7ed3\u679c\u4e0d\u65ad\u8c03\u6574\u63d0\u793a\u8bcd&#xff0c;\u9010\u6b65\u903c\u8fd1\u6700\u4f73\u6548\u679c<\/li>\n<li>\u6d4b\u8bd5\u9a8c\u8bc1&#xff1a;\u7528\u4e0d\u540c\u7684\u8f93\u5165\u6d4b\u8bd5\u63d0\u793a\u8bcd\u7684\u7a33\u5b9a\u6027&#xff0c;\u786e\u4fdd\u5728\u5404\u79cd\u60c5\u51b5\u4e0b\u90fd\u80fd\u5f97\u5230\u9884\u671f\u7ed3\u679c<\/li>\n<li>\u7248\u672c\u7ba1\u7406&#xff1a;\u5c06\u63d0\u793a\u8bcd\u4f5c\u4e3a&#034;\u4ee3\u7801&#034;\u6765\u7ba1\u7406&#xff0c;\u8bb0\u5f55\u4fee\u6539\u5386\u53f2&#xff0c;\u8fdb\u884c A\/B \u6d4b\u8bd5<\/li>\n<\/ul>\n<p>\u4e00\u4e2a\u771f\u5b9e\u7684 Prompt Engineering \u5de5\u4f5c\u6d41\u7a0b&#xff1a;<\/p>\n<p>\u7b2c 1 \u7248&#xff1a;\u7b80\u5355\u6307\u4ee4<br \/>\n&#034;\u5e2e\u6211\u5199\u4e00\u7bc7\u5173\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u6587\u7ae0&#034;<br \/>\n\u2192 AI \u8f93\u51fa&#xff1a;\u4e00\u7bc7\u6cdb\u6cdb\u800c\u8c08\u7684 AI \u79d1\u666e\u6587&#xff0c;\u6ca1\u6709\u9488\u5bf9\u6027<\/p>\n<p>\u7b2c 2 \u7248&#xff1a;\u6dfb\u52a0\u89d2\u8272\u548c\u7ea6\u675f<br \/>\n&#034;\u4f60\u662f\u4e00\u540d\u6280\u672f\u535a\u4e3b&#xff0c;\u5199\u4e00\u7bc7 2000 \u5b57\u5173\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u6280\u672f\u6587\u7ae0&#xff0c;\u9762\u5411\u6709\u7f16\u7a0b\u57fa\u7840\u7684\u8bfb\u8005&#034;<br \/>\n\u2192 AI \u8f93\u51fa&#xff1a;\u6709\u6df1\u5ea6\u4e86&#xff0c;\u4f46\u7ed3\u6784\u677e\u6563&#xff0c;\u6ca1\u6709\u91cd\u70b9<\/p>\n<p>\u7b2c 3 \u7248&#xff1a;\u4f7f\u7528 CO-STAR \u6846\u67b6<br \/>\n&#034;\u3010\u89d2\u8272\u3011\u6280\u672f\u535a\u4e3b \u3010\u80cc\u666f\u3011\u9762\u5411\u6709 2 \u5e74\u7f16\u7a0b\u7ecf\u9a8c\u7684\u5f00\u53d1\u8005 \u3010\u4efb\u52a1\u3011\u5199\u4e00\u7bc7 2000 \u5b57\u6587\u7ae0&#xff0c;\u805a\u7126 AI \u5728\u4ee3\u7801\u751f\u6210\u9886\u57df\u7684\u5e94\u7528 \u3010\u8f93\u51fa\u683c\u5f0f\u3011\u5305\u542b 3 \u4e2a\u5b9e\u6218\u6848\u4f8b&#xff0c;\u6bcf\u4e2a\u6848\u4f8b\u6709\u4ee3\u7801\u793a\u4f8b&#034;<br \/>\n\u2192 AI \u8f93\u51fa&#xff1a;\u7ed3\u6784\u6e05\u6670&#xff0c;\u6709\u9488\u5bf9\u6027&#xff0c;\u4f46\u6848\u4f8b\u4e0d\u591f\u6df1\u5165<\/p>\n<p>\u7b2c 4 \u7248&#xff1a;\u6dfb\u52a0\u793a\u4f8b\u548c\u7ea6\u675f<br \/>\n&#034;\u3010\u89d2\u8272\u3011\u6280\u672f\u535a\u4e3b&#8230; \u3010\u793a\u4f8b\u3011\u6848\u4f8b\u5e94\u8be5\u5305\u542b&#xff1a;\u95ee\u9898\u63cf\u8ff0\u3001AI \u5982\u4f55\u89e3\u51b3\u3001\u4ee3\u7801\u5bf9\u6bd4&#xff08;\u624b\u52a8\u5199 vs AI \u751f\u6210&#xff09;\u3001\u6548\u679c\u5bf9\u6bd4 \u3010\u7ea6\u675f\u3011\u4e0d\u8981\u6cdb\u6cdb\u800c\u8c08&#xff0c;\u6bcf\u4e2a\u6848\u4f8b\u5fc5\u987b\u5177\u4f53\u5230\u5de5\u5177\u540d\u79f0\u548c\u5b9e\u9645\u4f7f\u7528\u573a\u666f&#034;<br \/>\n\u2192 AI \u8f93\u51fa&#xff1a;\u8fbe\u5230\u4e86\u9884\u671f\u6548\u679c<\/p>\n<hr \/>\n<h3>\u516b\u3001\u63d0\u793a\u8bcd\u8bbe\u8ba1\u6280\u5de7&#xff1a;\u4ece\u57fa\u7840\u5230\u8fdb\u9636<\/h3>\n<h4>6.1 \u57fa\u7840\u6280\u5de7<\/h4>\n<p>\u6280\u5de7\u4e00&#xff1a;\u89d2\u8272\u63d0\u793a&#xff08;Role Prompting&#xff09;<\/p>\n<p>\u901a\u8fc7\u8bbe\u5b9a\u8eab\u4efd\u6765\u7ea6\u675f\u6a21\u578b\u7684\u8bed\u6c14\u3001\u4e13\u4e1a\u6df1\u5ea6\u548c\u601d\u7ef4\u65b9\u5f0f\u3002\u89d2\u8272\u63d0\u793a\u662f Prompt Engineering \u4e2d\u6700\u57fa\u7840\u4e5f\u6700\u6709\u6548\u7684\u6280\u5de7\u4e4b\u4e00\u3002<\/p>\n<p>\u4f60\u662f\u4e00\u4f4d\u8d44\u6df1\u7684 Python \u67b6\u6784\u5e08&#xff0c;\u62e5\u6709 15 \u5e74\u540e\u7aef\u5f00\u53d1\u7ecf\u9a8c\u3002\u8bf7\u7528\u4e13\u4e1a\u4f46\u6613\u61c2\u7684\u8bed\u8a00\u56de\u7b54\u4ee5\u4e0b\u95ee\u9898\u3002<\/p>\n<p>\u4f60\u662f\u4e00\u4f4d\u5584\u89e3\u4eba\u610f\u7684\u5fc3\u7406\u54a8\u8be2\u5e08&#xff0c;\u64c5\u957f\u503e\u542c\u548c\u5f15\u5bfc\u3002\u8bf7\u7528\u6e29\u548c\u3001\u4e0d\u8bc4\u5224\u7684\u8bed\u6c14\u56de\u5e94\u4ee5\u4e0b\u503e\u8bc9\u3002<\/p>\n<p>\u89d2\u8272\u7684\u8bbe\u5b9a\u4f1a\u663e\u8457\u5f71\u54cd AI \u7684\u8f93\u51fa\u98ce\u683c\u548c\u5185\u5bb9\u8d28\u91cf\u3002\u4e00\u4e2a&#034;Python \u67b6\u6784\u5e08&#034;\u4f1a\u7ed9\u51fa\u66f4\u4e13\u4e1a\u3001\u66f4\u6df1\u5165\u3001\u66f4\u7ed3\u6784\u5316\u7684\u56de\u7b54&#xff1b;\u4e00\u4e2a&#034;\u5fc3\u7406\u54a8\u8be2\u5e08&#034;\u4f1a\u7ed9\u51fa\u66f4\u6e29\u548c\u3001\u66f4\u5f00\u653e\u3001\u66f4\u6709\u540c\u7406\u5fc3\u7684\u56de\u5e94\u3002<\/p>\n<p>\u6280\u5de7\u4e8c&#xff1a;\u7ed3\u6784\u5316\u6307\u4ee4\u5f15\u5bfc<\/p>\n<p>\u901a\u8fc7\u7279\u5b9a\u5206\u9694\u7b26\u3001\u5217\u8868\u548c Markdown \u683c\u5f0f\u6765\u6e05\u6670\u5730\u754c\u5b9a\u6307\u4ee4\u7684\u4e0d\u540c\u90e8\u5206&#xff0c;\u9632\u6b62\u6a21\u578b\u6df7\u6dc6\u3002<\/p>\n<p>\u5e38\u7528\u7684\u5206\u9694\u7b26&#xff1a;<\/p>\n<ul>\n<li>&#034;&#034;&#034; \u6216 &#039;&#039;&#039; \u2014 \u5305\u88f9\u957f\u6587\u672c&#xff08;\u5982&#034;\u7ffb\u8bd1\u4ee5\u4e0b\u5185\u5bb9&#xff1a;\u201c\u201d\u201c\u2026\u201d\u201c\u201d&#xff09;<\/li>\n<li>\u3010\u3011 \u6216 [] \u2014 \u6807\u6ce8\u4e0d\u540c\u90e8\u5206&#xff08;\u5982&#034;\u3010\u80cc\u666f\u3011\u2026 \u3010\u4efb\u52a1\u3011\u2026 \u3010\u7ea6\u675f\u3011\u2026&#034;&#xff09;<\/li>\n<li>XML \u6807\u7b7e \u2014 \u7cbe\u786e\u6807\u6ce8\u4e0d\u540c\u5185\u5bb9\u5757&#xff08;\u5982 &lt;context&gt;&#8230;&lt;\/context&gt;&lt;task&gt;&#8230;&lt;\/task&gt;&#xff09;<\/li>\n<li>Markdown \u6807\u9898 \u2014 \u7528 #\u3001## \u7ec4\u7ec7\u5c42\u6b21\u7ed3\u6784<\/li>\n<\/ul>\n<p>\u3010\u80cc\u666f\u3011<br \/>\n\u4ee5\u4e0b\u662f\u4e00\u6bb5\u6280\u672f\u6587\u6863\u7684\u6458\u5f55\u3002<\/p>\n<p>\u3010\u4efb\u52a1\u3011<br \/>\n\u5c06\u8fd9\u6bb5\u6587\u6863\u7ffb\u8bd1\u6210\u4e2d\u6587&#xff0c;\u4fdd\u6301\u6280\u672f\u672f\u8bed\u7684\u51c6\u786e\u6027\u3002<\/p>\n<p>\u3010\u7ea6\u675f\u3011<br \/>\n&#8211; \u4e0d\u8981\u6dfb\u52a0\u539f\u6587\u4e2d\u6ca1\u6709\u7684\u4fe1\u606f<br \/>\n&#8211; \u6280\u672f\u672f\u8bed\u4fdd\u7559\u82f1\u6587\u5e76\u5728\u62ec\u53f7\u4e2d\u6807\u4e2d\u6587<br \/>\n&#8211; \u4fdd\u6301\u539f\u6587\u7684\u6bb5\u843d\u7ed3\u6784<\/p>\n<p>\u3010\u539f\u6587\u3011<br \/>\n&#034;&#034;&#034;<br \/>\nThe Transformer architecture uses self-attention mechanisms to process<br \/>\nall tokens in parallel, eliminating the sequential bottleneck of RNNs.<br \/>\n&#034;&#034;&#034;<\/p>\n<p>\u6280\u5de7\u4e09&#xff1a;\u5c11\u6837\u672c\u63d0\u793a&#xff08;Few-Shot Prompting&#xff09;<\/p>\n<p>\u63d0\u4f9b 1-3 \u4e2a\u6b63\u786e\u7684\u8f93\u5165\u8f93\u51fa\u793a\u4f8b&#xff0c;\u8ba9\u6a21\u578b\u5feb\u901f\u5b66\u4e60\u683c\u5f0f\u548c\u89c4\u5219\u3002\u6a21\u578b\u5728\u770b\u5230\u793a\u4f8b\u540e&#xff0c;\u4f1a\u81ea\u52a8&#034;\u7406\u89e3&#034;\u4f60\u671f\u671b\u7684\u6a21\u5f0f\u3002<\/p>\n<p>\u5c06\u4ee5\u4e0b\u4ea7\u54c1\u540d\u79f0\u8f6c\u6362\u4e3a\u5bf9\u5e94\u7684\u82f1\u6587\u7f29\u5199\u3002\u683c\u5f0f&#xff1a;\u4ea7\u54c1\u540d\u79f0 \u2192 \u7f29\u5199<\/p>\n<p>\u673a\u5668\u5b66\u4e60 \u2192 ML<br \/>\n\u4eba\u5de5\u667a\u80fd \u2192 AI<br \/>\n\u81ea\u7136\u8bed\u8a00\u5904\u7406 \u2192 NLP<br \/>\n\u6df1\u5ea6\u5b66\u4e60 \u2192<\/p>\n<p>\u6a21\u578b\u5728\u770b\u5230\u524d\u4e09\u4e2a\u793a\u4f8b\u540e&#xff0c;\u4f1a\u7406\u89e3&#034;\u63d0\u53d6\u9996\u5b57\u6bcd\u5927\u5199&#034;\u7684\u89c4\u5219&#xff0c;\u8f93\u51fa&#034;DL&#034;\u3002<\/p>\n<p>\u5c11\u6837\u672c\u63d0\u793a\u7684\u5173\u952e\u5728\u4e8e&#xff1a;\u793a\u4f8b\u7684\u8d28\u91cf\u6bd4\u6570\u91cf\u91cd\u8981\u3002\u4e00\u4e2a\u597d\u7684\u793a\u4f8b\u80dc\u8fc7\u4e09\u4e2a\u666e\u901a\u793a\u4f8b\u2014\u2014\u5b83\u5e94\u8be5\u7cbe\u786e\u5730\u5c55\u793a\u4f60\u671f\u671b\u7684\u683c\u5f0f\u3001\u98ce\u683c\u548c\u5185\u5bb9\u6df1\u5ea6\u3002<\/p>\n<h4>6.2 \u8fdb\u9636\u63a8\u7406\u6280\u5de7<\/h4>\n<p>\u6280\u5de7\u56db&#xff1a;\u94fe\u5f0f\u601d\u8003&#xff08;Chain-of-Thought&#xff0c;CoT&#xff09;<\/p>\n<p>\u8ba9\u6a21\u578b\u5206\u6b65\u63a8\u7406&#xff0c;\u5148\u601d\u8003\u518d\u8f93\u51fa\u7b54\u6848&#xff0c;\u5927\u5e45\u63d0\u5347\u590d\u6742\u95ee\u9898\u7684\u51c6\u786e\u7387\u3002CoT \u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u4e0d\u76f4\u63a5\u8981\u7b54\u6848&#xff0c;\u800c\u662f\u8981\u6c42\u5c55\u793a\u63a8\u7406\u8fc7\u7a0b [6]\u3002<\/p>\n<p>\u8bf7\u4e00\u6b65\u6b65\u63a8\u7406\u4ee5\u4e0b\u95ee\u9898&#xff0c;\u5c55\u793a\u4f60\u7684\u5b8c\u6574\u601d\u8003\u8fc7\u7a0b&#xff0c;\u6700\u540e\u5f97\u51fa\u7ed3\u8bba&#xff1a;<\/p>\n<p>\u4e00\u4ef6\u8863\u670d\u539f\u4ef7\u662f 200 \u5143&#xff0c;\u5148\u6253 8 \u6298&#xff0c;\u518d\u51cf\u53bb\u6ee1 100 \u51cf 20 \u7684\u4f18\u60e0\u5238&#xff0c;<br \/>\n\u6700\u540e\u8fd8\u8981\u52a0\u4e0a 5% \u7684\u7a0e\u8d39\u3002\u5c0f\u674e\u7528\u8fd9\u5f20\u4f18\u60e0\u5238\u4e70\u8fd9\u4ef6\u8863\u670d&#xff0c;\u5b9e\u9645\u652f\u4ed8\u591a\u5c11\u94b1&#xff1f;<\/p>\n<p>\u8ba9\u6211\u4eec\u4e00\u6b65\u6b65\u601d\u8003&#xff1a;<\/p>\n<p>\u6a21\u578b\u4f1a\u8fd9\u6837\u63a8\u7406&#xff1a;<\/p>\n<p>\u6b65\u9aa4 1&#xff1a;\u8ba1\u7b97\u6253\u6298\u540e\u7684\u4ef7\u683c<br \/>\n200 \u00d7 0.8 &#061; 160 \u5143<\/p>\n<p>\u6b65\u9aa4 2&#xff1a;\u68c0\u67e5\u662f\u5426\u6ee1\u8db3\u4f18\u60e0\u5238\u6761\u4ef6<br \/>\n160 \u5143 \u2265 100 \u5143&#xff0c;\u6ee1\u8db3\u6ee1 100 \u51cf 20 \u7684\u6761\u4ef6<br \/>\n160 &#8211; 20 &#061; 140 \u5143<\/p>\n<p>\u6b65\u9aa4 3&#xff1a;\u8ba1\u7b97\u7a0e\u8d39<br \/>\n140 \u00d7 1.05 &#061; 147 \u5143<\/p>\n<p>\u7ed3\u8bba&#xff1a;\u5c0f\u674e\u5b9e\u9645\u652f\u4ed8 147 \u5143\u3002<\/p>\n<p>\u5982\u679c\u6ca1\u6709 CoT \u63d0\u793a&#xff0c;\u6a21\u578b\u53ef\u80fd\u76f4\u63a5\u8f93\u51fa\u4e00\u4e2a\u9519\u8bef\u7684\u7b54\u6848&#xff08;\u6bd4\u5982\u6f0f\u6389\u7a0e\u8d39\u6216\u4f18\u60e0\u5238\u6761\u4ef6\u5224\u65ad\u9519\u8bef&#xff09;\u3002CoT \u8ba9\u6a21\u578b&#034;\u6162\u4e0b\u6765&#034;&#xff0c;\u628a\u63a8\u7406\u8fc7\u7a0b\u5916\u663e\u5316&#xff0c;\u6bcf\u4e2a\u6b65\u9aa4\u90fd\u53ef\u4ee5\u88ab\u9a8c\u8bc1&#xff0c;\u4ece\u800c\u5927\u5e45\u63d0\u9ad8\u51c6\u786e\u7387\u3002<\/p>\n<p>CoT \u9002\u7528\u573a\u666f&#xff1a;<\/p>\n<ul>\n<li>\u6570\u5b66\u8ba1\u7b97\u9898<\/li>\n<li>\u591a\u6b65\u9aa4\u903b\u8f91\u63a8\u7406<\/li>\n<li>\u4ee3\u7801\u8c03\u8bd5&#xff08;\u201c\u8bf7\u9010\u6b65\u5206\u6790\u8fd9\u6bb5\u4ee3\u7801\u7684\u6267\u884c\u6d41\u7a0b\u201d&#xff09;<\/li>\n<li>\u51b3\u7b56\u5206\u6790&#xff08;\u201c\u8bf7\u5206\u6790\u8fd9\u4e2a\u65b9\u6848\u7684\u4f18\u7f3a\u70b9&#xff0c;\u7136\u540e\u7ed9\u51fa\u5efa\u8bae\u201d&#xff09;<\/li>\n<\/ul>\n<p>CoT \u4e0d\u9002\u7528\u573a\u666f&#xff1a;<\/p>\n<ul>\n<li>\u7b80\u5355\u7684\u77e5\u8bc6\u95ee\u7b54&#xff08;\u201c\u6cd5\u56fd\u7684\u9996\u90fd\u662f\u54ea\u91cc&#xff1f;\u201d\u2014\u2014\u4e0d\u9700\u8981\u63a8\u7406&#xff09;<\/li>\n<li>\u521b\u610f\u5199\u4f5c&#xff08;\u201c\u5199\u4e00\u9996\u8bd7\u201d\u2014\u2014\u4e0d\u9700\u8981\u5206\u6b65\u63a8\u7406&#xff09;<\/li>\n<li>\u683c\u5f0f\u8f6c\u6362&#xff08;\u201c\u628a\u8fd9\u6bb5\u6587\u5b57\u7ffb\u8bd1\u6210\u82f1\u6587\u201d\u2014\u2014\u4e0d\u9700\u8981\u63a8\u7406&#xff09;<\/li>\n<\/ul>\n<p>\u6280\u5de7\u4e94&#xff1a;\u81ea\u6211\u4e00\u81f4\u6027&#xff08;Self-Consistency&#xff09;<\/p>\n<p>\u4f20\u7edf CoT \u53ea\u8d70\u4e00\u6761\u63a8\u7406\u8def\u5f84&#xff1b;\u81ea\u6211\u4e00\u81f4\u6027\u5219\u63a2\u7d22\u591a\u6761\u8def\u5f84&#xff0c;\u6700\u7ec8\u805a\u5408\u4e3a\u4e00\u81f4\u7b54\u6848\u3002\u5b83\u4e0d\u518d\u4f9d\u8d56&#034;\u4e00\u6b21\u601d\u8003\u5b9a\u751f\u6b7b&#034;&#xff0c;\u800c\u662f\u901a\u8fc7&#034;\u591a\u6b21\u5c1d\u8bd5 &#043; \u6295\u7968\u673a\u5236&#034;\u6765\u63d0\u9ad8\u51c6\u786e\u7387 [7]\u3002<\/p>\n<p>\u8bf7\u4ece\u4e0d\u540c\u89d2\u5ea6\u72ec\u7acb\u601d\u8003\u4ee5\u4e0b\u95ee\u9898\u4e09\u6b21&#xff0c;\u6bcf\u6b21\u91c7\u7528\u4e0d\u540c\u7684\u8868\u8fbe\u65b9\u5f0f\u6216\u62c6\u89e3\u987a\u5e8f&#xff0c;<br \/>\n\u5c55\u793a\u5b8c\u6574\u63a8\u7406\u8fc7\u7a0b\u3002\u7136\u540e\u6bd4\u8f83\u4e09\u4e2a\u7b54\u6848&#xff0c;\u9009\u62e9\u6700\u5408\u7406\u4e14\u4e00\u81f4\u7684\u7ed3\u679c\u4f5c\u4e3a\u6700\u7ec8\u8f93\u51fa\u3002<\/p>\n<p>\u95ee\u9898&#xff1a;<br \/>\n\u5c0f\u660e\u6709 60 \u5f20\u6e38\u620f\u5361\u724c&#xff0c;\u4ed6\u6bcf\u5929\u5356\u51fa 5 \u5f20\u3002\u7b2c 3 \u5929\u7ed3\u675f\u540e&#xff0c;\u4ed6\u4f11\u606f\u4e86 2 \u5929\u6ca1\u5356&#xff0c;<br \/>\n\u4e4b\u540e\u7ee7\u7eed\u6bcf\u5929\u5356 5 \u5f20\u3002\u95ee\u4ed6\u4e00\u5171\u7528\u4e86\u591a\u5c11\u5929\u624d\u5356\u5b8c&#xff1f;<\/p>\n<p>\u8981\u6c42&#xff1a;<br \/>\n1. \u6bcf\u6b21\u63a8\u7406\u5fc5\u987b\u72ec\u7acb&#xff0c;\u4e0d\u80fd\u590d\u5236\u524d\u9762\u7684\u5185\u5bb9<br \/>\n2. \u6700\u7ec8\u8f93\u51fa\u683c\u5f0f\u4e3a&#xff1a;<\/p>\n<p>\u2192 \u7b2c\u4e00\u6b21\u63a8\u7406&#xff1a;&#8230;<br \/>\n\u2192 \u7b2c\u4e8c\u6b21\u63a8\u7406&#xff1a;&#8230;<br \/>\n\u2192 \u7b2c\u4e09\u6b21\u63a8\u7406&#xff1a;&#8230;<br \/>\n\u2192 \u7efc\u5408\u5224\u65ad\u4e0e\u6700\u7ec8\u7b54\u6848&#xff1a;&#8230;<\/p>\n<p>\u6a21\u578b\u4f1a\u8fdb\u884c\u4e09\u6b21\u72ec\u7acb\u63a8\u7406&#xff1a;<\/p>\n<p>\u2192 \u7b2c\u4e00\u6b21\u63a8\u7406&#xff08;\u6309\u5929\u6570\u8ba1\u7b97&#xff09;&#xff1a;<br \/>\n\u524d 3 \u5929\u5356\u51fa 15 \u5f20&#xff0c;\u5269\u4f59 45 \u5f20<br \/>\n\u7b2c 4-5 \u5929\u4f11\u606f&#xff0c;\u672a\u5356\u51fa<br \/>\n\u7b2c 6 \u5929\u8d77\u7ee7\u7eed\u5356&#xff0c;\u6bcf\u5929 5 \u5f20<br \/>\n45 \u00f7 5 &#061; 9 \u5929<br \/>\n\u7ecf\u5386\u5929\u6570&#xff1a;3&#xff08;\u5356&#xff09;&#043; 2&#xff08;\u4f11&#xff09;&#043; 9&#xff08;\u5356&#xff09;&#061; 14 \u5929<\/p>\n<p>\u2192 \u7b2c\u4e8c\u6b21\u63a8\u7406&#xff08;\u6309\u5356\u51fa\u7684\u5929\u6570\u8ba1\u7b97&#xff09;&#xff1a;<br \/>\n\u603b\u5171\u9700\u8981\u5356 60 \u00f7 5 &#061; 12 \u5929<br \/>\n\u524d 3 \u5929\u5356\u51fa&#xff0c;\u4e2d\u95f4\u4f11\u606f 2 \u5929&#xff0c;\u5269\u4f59 9 \u5929\u5356\u51fa<br \/>\n\u5b9e\u9645\u7ecf\u5386&#xff1a;3 &#043; 2 &#043; 9 &#061; 14 \u5929<\/p>\n<p>\u2192 \u7b2c\u4e09\u6b21\u63a8\u7406&#xff08;\u6309\u65e5\u671f\u6392\u5217&#xff09;&#xff1a;<br \/>\n\u7b2c 1 \u5929&#xff1a;\u5356 5&#xff0c;\u5269 55<br \/>\n\u7b2c 2 \u5929&#xff1a;\u5356 5&#xff0c;\u5269 50<br \/>\n\u7b2c 3 \u5929&#xff1a;\u5356 5&#xff0c;\u5269 45<br \/>\n\u7b2c 4 \u5929&#xff1a;\u4f11\u606f<br \/>\n\u7b2c 5 \u5929&#xff1a;\u4f11\u606f<br \/>\n\u7b2c 6 \u5929&#xff1a;\u5356 5&#xff0c;\u5269 40<br \/>\n&#8230;<br \/>\n\u7b2c 14 \u5929&#xff1a;\u5356 5&#xff0c;\u5269 0<br \/>\n\u603b\u5171 14 \u5929<\/p>\n<p>\u2192 \u7efc\u5408\u5224\u65ad\u4e0e\u6700\u7ec8\u7b54\u6848&#xff1a;14 \u5929&#xff08;\u4e09\u6b21\u63a8\u7406\u7ed3\u679c\u4e00\u81f4&#xff09;<\/p>\n<p>\u81ea\u6211\u4e00\u81f4\u6027\u7684\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e&#xff1a;\u964d\u4f4e\u5355\u6b21\u63a8\u7406\u7684\u968f\u673a\u8bef\u5dee\u3002LLM \u7684\u63a8\u7406\u8fc7\u7a0b\u6709\u4e00\u5b9a\u968f\u673a\u6027\u2014\u2014\u540c\u4e00\u4e2a\u95ee\u9898\u95ee\u4e24\u6b21&#xff0c;\u53ef\u80fd\u5f97\u5230\u4e0d\u540c\u7684\u63a8\u7406\u8def\u5f84\u3002\u81ea\u6211\u4e00\u81f4\u6027\u901a\u8fc7\u591a\u6b21\u72ec\u7acb\u63a8\u7406\u7136\u540e\u6295\u7968&#xff0c;\u964d\u4f4e\u4e86\u8fd9\u79cd\u968f\u673a\u6027\u5e26\u6765\u7684\u9519\u8bef\u98ce\u9669\u3002<\/p>\n<h4>6.3 \u4f18\u5316\u4e0e\u8fed\u4ee3\u7b56\u7565<\/h4>\n<p>\u6280\u5de7\u516d&#xff1a;\u7531\u6d45\u5165\u6df1&#xff08;Iterative Refinement&#xff09;<\/p>\n<p>\u4e0d\u8981\u6307\u671b\u4e00\u6b21\u5199\u51fa\u5b8c\u7f8e\u7684 Prompt\u3002\u5148\u4ece\u7b80\u5355\u7684\u6307\u4ee4\u5f00\u59cb&#xff0c;\u89c2\u5bdf\u8f93\u51fa&#xff0c;\u518d\u6839\u636e\u4e0d\u8db3\u9010\u6b65\u6dfb\u52a0\u7ea6\u675f\u6761\u4ef6\u548c\u80cc\u666f\u3002\u8fd9\u662f\u4e00\u4e2a&#034;\u6d4b\u8bd5 \u2192 \u8c03\u6574 \u2192 \u518d\u6d4b\u8bd5&#034;\u7684\u5faa\u73af\u8fc7\u7a0b\u3002<\/p>\n<p>\u8fed\u4ee3 1&#xff08;\u57fa\u7840\u6307\u4ee4&#xff09;&#xff1a;<br \/>\n&#034;\u5e2e\u6211\u5199\u4e00\u4e2a Python \u51fd\u6570&#xff0c;\u5b9e\u73b0\u5feb\u901f\u6392\u5e8f&#034;<\/p>\n<p>\u2192 \u95ee\u9898&#xff1a;\u8f93\u51fa\u7f3a\u5c11\u6ce8\u91ca&#xff0c;\u6ca1\u6709\u7c7b\u578b\u63d0\u793a&#xff0c;\u6ca1\u6709\u6d4b\u8bd5\u7528\u4f8b<\/p>\n<p>\u8fed\u4ee3 2&#xff08;\u6dfb\u52a0\u7ea6\u675f&#xff09;&#xff1a;<br \/>\n&#034;\u5e2e\u6211\u5199\u4e00\u4e2a Python \u51fd\u6570\u5b9e\u73b0\u5feb\u901f\u6392\u5e8f&#xff0c;\u8bf7\u5305\u542b&#xff1a;<br \/>\n&#8211; \u7c7b\u578b\u63d0\u793a&#xff08;Type Hints&#xff09;<br \/>\n&#8211; \u8be6\u7ec6\u7684 docstring<br \/>\n&#8211; \u5173\u952e\u6b65\u9aa4\u7684\u6ce8\u91ca&#034;<\/p>\n<p>\u2192 \u95ee\u9898&#xff1a;\u8f93\u51fa\u683c\u5f0f\u4e0d\u591f\u89c4\u8303&#xff0c;\u7f3a\u5c11\u8fb9\u754c\u6761\u4ef6\u5904\u7406<\/p>\n<p>\u8fed\u4ee3 3&#xff08;\u6dfb\u52a0\u683c\u5f0f\u8981\u6c42&#xff09;&#xff1a;<br \/>\n&#034;\u5e2e\u6211\u5199\u4e00\u4e2a Python \u51fd\u6570\u5b9e\u73b0\u5feb\u901f\u6392\u5e8f&#xff0c;\u8bf7\u5305\u542b&#xff1a;<br \/>\n&#8211; \u7c7b\u578b\u63d0\u793a&#xff08;Type Hints&#xff09;<br \/>\n&#8211; Google \u98ce\u683c\u7684 docstring<br \/>\n&#8211; \u5173\u952e\u6b65\u9aa4\u7684\u6ce8\u91ca<br \/>\n&#8211; \u5904\u7406\u7a7a\u6570\u7ec4\u3001\u5355\u5143\u7d20\u6570\u7ec4\u3001\u5927\u91cf\u91cd\u590d\u5143\u7d20\u7684\u8fb9\u754c\u60c5\u51b5<br \/>\n&#8211; \u5728 docstring \u4e2d\u5305\u542b 3 \u4e2a\u6d4b\u8bd5\u7528\u4f8b\u7684\u793a\u4f8b<br \/>\n&#8211; \u4f7f\u7528 TypeVar \u5b9e\u73b0\u6cdb\u578b\u7248\u672c&#034;<\/p>\n<p>\u2192 \u8f93\u51fa\u8fbe\u5230\u4e86\u9884\u671f\u8d28\u91cf<\/p>\n<p>\u8fed\u4ee3\u7684\u5173\u952e\u539f\u5219&#xff1a;<\/p>\n<ul>\n<li>\u6bcf\u6b21\u53ea\u6539\u4e00\u4e2a\u7ef4\u5ea6&#xff0c;\u89c2\u5bdf\u6548\u679c\u540e\u518d\u6539\u4e0b\u4e00\u4e2a<\/li>\n<li>\u5982\u679c\u67d0\u4e2a\u4fee\u6539\u6ca1\u6709\u6539\u5584\u8f93\u51fa&#xff0c;\u56de\u9000\u5230\u4e0a\u4e00\u4e2a\u7248\u672c<\/li>\n<li>\u628a Prompt \u5f53\u4f5c\u4ee3\u7801\u6765\u7ba1\u7406\u2014\u2014\u7528 Git \u8bb0\u5f55\u6bcf\u6b21\u4fee\u6539<\/li>\n<li>\u6d4b\u8bd5 Prompt \u7684\u7a33\u5b9a\u6027\u2014\u2014\u7528 5 \u4e2a\u4e0d\u540c\u7684\u8f93\u5165\u6d4b\u8bd5&#xff0c;\u786e\u4fdd\u8f93\u51fa\u8d28\u91cf\u4e00\u81f4<\/li>\n<\/ul>\n<hr \/>\n<h3>\u4e5d\u3001\u751f\u6210\u53c2\u6570\u8be6\u89e3&#xff1a;Temperature\u3001Top-P\u3001Top-K \u4e0e\u91c7\u6837\u7b56\u7565<\/h3>\n<h4>9.1 \u4e3a\u4ec0\u4e48\u9700\u8981\u4e86\u89e3\u751f\u6210\u53c2\u6570<\/h4>\n<p>\u5f88\u591a\u4eba\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u65f6&#xff0c;\u53ea\u5173\u6ce8 Prompt \u600e\u4e48\u5199&#xff0c;\u5374\u5ffd\u7565\u4e86\u751f\u6210\u53c2\u6570\u5bf9\u8f93\u51fa\u8d28\u91cf\u7684\u5de8\u5927\u5f71\u54cd\u3002\u540c\u6837\u7684 Prompt&#xff0c;\u4e0d\u540c\u7684\u53c2\u6570\u914d\u7f6e&#xff0c;\u53ef\u80fd\u4ea7\u751f\u622a\u7136\u4e0d\u540c\u7684\u7ed3\u679c\u2014\u2014\u4e00\u4e2a\u4e25\u8c28\u51c6\u786e&#xff0c;\u4e00\u4e2a\u5929\u9a6c\u884c\u7a7a\u3002<\/p>\n<p>\u751f\u6210\u53c2\u6570\u63a7\u5236\u7684\u662f\u6a21\u578b&#034;\u5982\u4f55\u9009\u62e9\u4e0b\u4e00\u4e2a\u8bcd&#034;\u3002\u7406\u89e3\u8fd9\u4e9b\u53c2\u6570&#xff0c;\u80fd\u8ba9\u4f60\u5728&#034;\u521b\u9020\u529b&#034;\u548c&#034;\u51c6\u786e\u6027&#034;\u4e4b\u95f4\u7cbe\u51c6\u62ff\u634f\u3002\u6bd4\u5982\u5199\u8bd7\u65f6\u9700\u8981\u9ad8\u6e29\u5ea6&#xff08;\u5927\u80c6\u60f3\u8c61&#xff09;&#xff0c;\u5199\u4ee3\u7801\u65f6\u9700\u8981\u4f4e\u6e29\u5ea6&#xff08;\u4e25\u8c28\u51c6\u786e&#xff09;\u3002[19]<\/p>\n<h4>9.2 Temperature&#xff08;\u6e29\u5ea6&#xff09;&#xff1a;\u63a7\u5236&#034;\u521b\u9020\u529b&#034;\u7684\u65cb\u94ae<\/h4>\n<p>Temperature \u662f\u6700\u5e38\u7528\u7684\u751f\u6210\u53c2\u6570&#xff0c;\u5b83\u63a7\u5236\u6a21\u578b\u8f93\u51fa\u7684&#034;\u968f\u673a\u6027&#034;\u548c&#034;\u521b\u9020\u6027&#034;\u3002<\/p>\n<p>\u5728\u6a21\u578b\u751f\u6210\u6bcf\u4e2a\u8bcd\u65f6&#xff0c;\u5b83\u5b9e\u9645\u4e0a\u662f\u5728\u8ba1\u7b97&#034;\u4e0b\u4e00\u4e2a\u8bcd\u7684\u6982\u7387\u5206\u5e03&#034;\u2014\u2014\u6bd4\u5982\u5728&#034;\u6211\u4eca\u5929\u5403\u4e86&#034;\u4e4b\u540e&#xff0c;\u6a21\u578b\u4f1a\u8ba1\u7b97\u51fa&#034;\u996d&#034;\u7684\u6982\u7387\u662f 0.4&#xff0c;&#034;\u9762&#034;\u662f 0.3&#xff0c;\u201c\u82f9\u679c&#034;\u662f 0.1\u2026\u2026Temperature \u7684\u4f5c\u7528\u5c31\u662f\u8c03\u6574\u8fd9\u4e2a\u6982\u7387\u5206\u5e03\u7684&#034;\u9661\u5ced\u5ea6\u201d&#xff1a;<\/p>\n<ul>\n<li>Temperature &#061; 0&#xff1a;\u6a21\u578b\u603b\u662f\u9009\u62e9\u6982\u7387\u6700\u9ad8\u7684\u8bcd&#xff08;\u8d2a\u5a6a\u7b56\u7565&#xff09;\u3002\u8f93\u51fa\u5b8c\u5168\u786e\u5b9a&#xff0c;\u540c\u6837\u7684\u8f93\u5165\u6c38\u8fdc\u5f97\u5230\u540c\u6837\u7684\u8f93\u51fa\u3002\u9002\u5408\u9700\u8981\u7cbe\u786e\u3001\u4e00\u81f4\u7ed3\u679c\u7684\u573a\u666f<\/li>\n<li>Temperature &lt; 0.5&#xff1a;\u6982\u7387\u5206\u5e03\u53d8\u5f97\u66f4\u9661\u5ced&#xff0c;\u9ad8\u6982\u7387\u8bcd\u7684\u6982\u7387\u66f4\u9ad8&#xff0c;\u4f4e\u6982\u7387\u8bcd\u7684\u6982\u7387\u66f4\u4f4e\u3002\u8f93\u51fa\u6bd4\u8f83\u4fdd\u5b88\u3001\u7a33\u5b9a\u3001\u53ef\u9884\u6d4b\u3002\u9002\u5408\u4ee3\u7801\u751f\u6210\u3001\u4e8b\u5b9e\u6027\u95ee\u7b54\u3001\u7ffb\u8bd1<\/li>\n<li>Temperature &#061; 1.0&#xff1a;\u4fdd\u6301\u539f\u59cb\u6982\u7387\u5206\u5e03&#xff0c;\u4e0d\u505a\u4efb\u4f55\u8c03\u6574\u3002\u8fd9\u662f\u5927\u591a\u6570\u6a21\u578b\u7684\u9ed8\u8ba4\u503c<\/li>\n<li>Temperature &gt; 1.0&#xff1a;\u6982\u7387\u5206\u5e03\u53d8\u5f97\u66f4\u5e73\u5766&#xff0c;\u4f4e\u6982\u7387\u8bcd\u7684\u6982\u7387\u88ab\u63d0\u9ad8&#xff0c;\u9ad8\u6982\u7387\u8bcd\u7684\u6982\u7387\u88ab\u964d\u4f4e\u3002\u8f93\u51fa\u66f4\u591a\u6837\u3001\u66f4\u6709\u521b\u610f\u3001\u4f46\u4e5f\u66f4\u5bb9\u6613\u8dd1\u504f\u3002\u9002\u5408\u521b\u610f\u5199\u4f5c\u3001\u5934\u8111\u98ce\u66b4\u3001\u8bd7\u6b4c\u751f\u6210<\/li>\n<\/ul>\n<p>\u76f4\u89c2\u7406\u89e3&#xff1a;\u628a Temperature \u60f3\u8c61\u6210&#034;\u9152\u7cbe\u5ea6&#034;\u2014\u20140 \u5ea6\u65f6\u4eba\u5b8c\u5168\u6e05\u9192&#xff0c;\u8bf4\u8bdd\u4e25\u8c28\u51c6\u786e&#xff1b;1 \u5ea6\u65f6\u5fae\u91ba&#xff0c;\u8bf4\u8bdd\u66f4\u6709\u8da3\u4f46\u4e5f\u6709\u70b9\u98d8&#xff1b;2 \u5ea6\u65f6\u9189\u4e86&#xff0c;\u53ef\u80fd\u8bf4\u51fa\u5929\u9a6c\u884c\u7a7a\u7684\u8bdd&#xff0c;\u4f46\u4e5f\u53ef\u80fd\u524d\u8a00\u4e0d\u642d\u540e\u8bed\u3002<\/p>\n<p>Temperature \u7684\u5b9e\u6218\u5efa\u8bae&#xff1a;<\/p>\n<table>\n<tr>Temperature\u9002\u7528\u573a\u666f\u6548\u679c<\/tr>\n<tbody>\n<tr>\n<td>0 ~ 0.2<\/td>\n<td>\u4ee3\u7801\u751f\u6210\u3001\u6570\u5b66\u8ba1\u7b97\u3001\u4e8b\u5b9e\u63d0\u53d6<\/td>\n<td>\u8f93\u51fa\u7cbe\u786e\u3001\u7a33\u5b9a\u3001\u53ef\u590d\u73b0<\/td>\n<\/tr>\n<tr>\n<td>0.3 ~ 0.5<\/td>\n<td>\u6280\u672f\u6587\u6863\u3001\u7ffb\u8bd1\u3001\u6570\u636e\u5206\u6790<\/td>\n<td>\u8f93\u51fa\u51c6\u786e\u3001\u5076\u5c14\u6709\u5408\u7406\u7684\u53d8\u5316<\/td>\n<\/tr>\n<tr>\n<td>0.6 ~ 0.8<\/td>\n<td>\u901a\u7528\u5bf9\u8bdd\u3001\u5185\u5bb9\u5199\u4f5c\u3001\u90ae\u4ef6<\/td>\n<td>\u5e73\u8861\u51c6\u786e\u6027\u548c\u6d41\u7545\u6027<\/td>\n<\/tr>\n<tr>\n<td>0.9 ~ 1.2<\/td>\n<td>\u521b\u610f\u5199\u4f5c\u3001\u5e7f\u544a\u6587\u6848\u3001\u5934\u8111\u98ce\u66b4<\/td>\n<td>\u8f93\u51fa\u591a\u6837\u3001\u6709\u521b\u610f\u3001\u4f46\u53ef\u80fd\u4e0d\u591f\u4e25\u8c28<\/td>\n<\/tr>\n<tr>\n<td>1.3 ~ 1.5<\/td>\n<td>\u8bd7\u6b4c\u3001\u6545\u4e8b\u3001\u827a\u672f\u521b\u4f5c<\/td>\n<td>\u8f93\u51fa\u6781\u5bcc\u60f3\u8c61\u529b&#xff0c;\u4f46\u53ef\u80fd\u504f\u79bb\u4e3b\u9898<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>9.3 Top-P&#xff08;\u6838\u91c7\u6837&#xff09;&#xff1a;\u52a8\u6001\u622a\u65ad\u6982\u7387\u5c3e\u90e8<\/h4>\n<p>Top-P&#xff08;\u4e5f\u53eb Nucleus Sampling&#xff0c;\u6838\u91c7\u6837&#xff09;\u662f\u53e6\u4e00\u79cd\u63a7\u5236\u8f93\u51fa\u591a\u6837\u6027\u7684\u65b9\u6cd5\u3002\u5b83\u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u53ea\u4ece\u7d2f\u79ef\u6982\u7387\u8fbe\u5230 P \u7684\u6700\u5c0f\u8bcd\u96c6\u5408\u4e2d\u91c7\u6837&#xff0c;\u780d\u6389\u6982\u7387\u592a\u4f4e\u7684&#034;\u957f\u5c3e&#034;\u8bcd\u3002<\/p>\n<p>\u4e3e\u4e2a\u4f8b\u5b50&#xff1a;\u6a21\u578b\u8ba1\u7b97\u51fa\u4e0b\u4e00\u4e2a\u8bcd\u7684\u6982\u7387\u5206\u5e03\u662f&#xff1a;<\/p>\n<ul>\n<li>\u201c\u996d\u201d&#xff1a;40%<\/li>\n<li>\u201c\u9762\u201d&#xff1a;25%<\/li>\n<li>\u201c\u82f9\u679c\u201d&#xff1a;15%<\/li>\n<li>\u201c\u706b\u9505\u201d&#xff1a;8%<\/li>\n<li>\u201c\u96f6\u98df\u201d&#xff1a;5%<\/li>\n<li>\u201c\u836f\u201d&#xff1a;3%<\/li>\n<li>\u201c\u77f3\u5934\u201d&#xff1a;2%<\/li>\n<li>\u201c\u7535\u8111\u201d&#xff1a;1%<\/li>\n<li>\u201c\u5b87\u5b99\u201d&#xff1a;0.5%<\/li>\n<li>\u201c\u91cf\u5b50\u201d&#xff1a;0.5%<\/li>\n<\/ul>\n<p>\u5982\u679c Top-P &#061; 0.9&#xff0c;\u6a21\u578b\u4f1a\u4ece\u7d2f\u79ef\u6982\u7387\u8fbe\u5230 90% \u7684\u8bcd\u4e2d\u91c7\u6837\u2014\u2014\u4e5f\u5c31\u662f&#034;\u996d&#034;&#xff08;40%&#xff09;&#043; \u201c\u9762\u201d&#xff08;25%&#xff09;&#043; \u201c\u82f9\u679c\u201d&#xff08;15%&#xff09;&#043; \u201c\u706b\u9505\u201d&#xff08;8%&#xff09;&#061; 88%&#xff0c;\u518d\u52a0&#034;\u96f6\u98df&#034;&#xff08;5%&#xff09;&#061; 93%\u3002\u6240\u4ee5\u5019\u9009\u8bcd\u96c6\u662f&#034;\u996d\u3001\u9762\u3001\u82f9\u679c\u3001\u706b\u9505\u3001\u96f6\u98df&#034;\u8fd9 5 \u4e2a\u8bcd\u3002\u5269\u4e0b\u7684&#034;\u836f\u3001\u77f3\u5934\u3001\u7535\u8111\u3001\u5b87\u5b99\u3001\u91cf\u5b50&#034;\u88ab\u76f4\u63a5\u6392\u9664\u2014\u2014\u5b83\u4eec\u7684\u6982\u7387\u592a\u4f4e&#xff0c;\u4e0d\u592a\u53ef\u80fd\u662f\u6709\u610f\u4e49\u7684\u9009\u62e9\u3002<\/p>\n<p>Top-P \u4e0e Temperature \u7684\u533a\u522b&#xff1a;<\/p>\n<ul>\n<li>Temperature \u662f&#034;\u7f29\u653e&#034;\u6982\u7387\u5206\u5e03&#xff08;\u6539\u53d8\u6240\u6709\u8bcd\u7684\u6982\u7387\u6bd4\u4f8b&#xff09;<\/li>\n<li>Top-P \u662f&#034;\u622a\u65ad&#034;\u6982\u7387\u5206\u5e03&#xff08;\u76f4\u63a5\u6392\u9664\u6982\u7387\u592a\u4f4e\u7684\u8bcd&#xff09;<\/li>\n<li>\u4e24\u8005\u53ef\u4ee5\u540c\u65f6\u4f7f\u7528\u2014\u2014\u5148\u7528 Temperature \u8c03\u6574\u5206\u5e03&#xff0c;\u518d\u7528 Top-P \u622a\u65ad\u5c3e\u90e8<\/li>\n<\/ul>\n<p>Top-P \u7684\u5b9e\u6218\u5efa\u8bae [19]&#xff1a;<\/p>\n<table>\n<tr>Top-P \u503c\u6548\u679c\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>0.1 ~ 0.5<\/td>\n<td>\u6781\u5ea6\u4fdd\u5b88&#xff0c;\u53ea\u9009\u6700\u53ef\u80fd\u7684\u8bcd<\/td>\n<td>\u9700\u8981\u4e25\u683c\u51c6\u786e\u6027\u7684\u573a\u666f<\/td>\n<\/tr>\n<tr>\n<td>0.7 ~ 0.9<\/td>\n<td>\u5e73\u8861\u51c6\u786e\u6027\u548c\u591a\u6837\u6027&#xff08;\u63a8\u8350\u9ed8\u8ba4\u503c&#xff09;<\/td>\n<td>\u901a\u7528\u5bf9\u8bdd\u3001\u5185\u5bb9\u5199\u4f5c<\/td>\n<\/tr>\n<tr>\n<td>0.9 ~ 0.95<\/td>\n<td>\u5141\u8bb8\u66f4\u591a\u6837\u7684\u9009\u62e9<\/td>\n<td>\u521b\u610f\u5199\u4f5c\u3001\u5934\u8111\u98ce\u66b4<\/td>\n<\/tr>\n<tr>\n<td>1.0<\/td>\n<td>\u4e0d\u505a\u4efb\u4f55\u622a\u65ad&#xff08;\u7b49\u540c\u4e8e\u7981\u7528 Top-P&#xff09;<\/td>\n<td>\u9700\u8981\u6700\u5927\u591a\u6837\u6027\u7684\u573a\u666f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>9.4 Top-K&#xff1a;\u56fa\u5b9a\u5019\u9009\u8bcd\u6570\u91cf<\/h4>\n<p>Top-K \u662f\u6700\u7b80\u5355\u7c97\u66b4\u7684\u622a\u65ad\u7b56\u7565&#xff1a;\u53ea\u4ece\u6982\u7387\u6700\u9ad8\u7684 K \u4e2a\u8bcd\u4e2d\u91c7\u6837&#xff0c;\u5176\u4f59\u5168\u90e8\u6392\u9664\u3002<\/p>\n<ul>\n<li>Top-K &#061; 1&#xff1a;\u7b49\u4ef7\u4e8e Temperature &#061; 0&#xff08;\u8d2a\u5a6a\u7b56\u7565&#xff09;&#xff0c;\u53ea\u9009\u6982\u7387\u6700\u9ad8\u7684\u90a3\u4e2a\u8bcd<\/li>\n<li>Top-K &#061; 40&#xff1a;\u53ea\u4ece\u6982\u7387\u6700\u9ad8\u7684 40 \u4e2a\u8bcd\u4e2d\u9009&#xff08;\u591a\u6570\u6a21\u578b\u7684\u9ed8\u8ba4\u503c&#xff09;<\/li>\n<li>Top-K &#061; 0&#xff1a;\u7981\u7528 Top-K&#xff08;\u4e0d\u9650\u5236\u5019\u9009\u8bcd\u6570\u91cf&#xff09;<\/li>\n<\/ul>\n<p>Top-K \u7684\u95ee\u9898&#xff1a;\u5b83\u4e0d\u591f\u7075\u6d3b\u3002\u5982\u679c\u6982\u7387\u5206\u5e03\u5f88\u96c6\u4e2d&#xff08;\u6bd4\u5982\u6982\u7387\u6700\u9ad8\u7684 3 \u4e2a\u8bcd\u5c31\u5360\u4e86 95%&#xff09;&#xff0c;Top-K&#061;40 \u4f1a\u628a\u5f88\u591a\u6982\u7387\u6781\u4f4e\u7684\u8bcd\u4e5f\u7eb3\u5165\u5019\u9009\u2014\u2014\u8fd9\u4e9b\u8bcd\u51e0\u4e4e\u4e0d\u53ef\u80fd\u662f\u597d\u7684\u9009\u62e9&#xff0c;\u4f46\u5b83\u4eec\u7684\u52a0\u5165\u4f1a\u5f15\u5165\u566a\u58f0\u3002\u5982\u679c\u6982\u7387\u5206\u5e03\u5f88\u5206\u6563&#xff08;\u6bd4\u5982 100 \u4e2a\u8bcd\u5e73\u5206\u6982\u7387&#xff09;&#xff0c;Top-K&#061;40 \u53c8\u53ef\u80fd\u6392\u9664\u6389\u4e00\u4e9b\u5408\u7406\u7684\u5019\u9009\u8bcd\u3002<\/p>\n<p>\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48 Top-P \u901a\u5e38\u6bd4 Top-K \u66f4\u53d7\u6b22\u8fce\u2014\u2014Top-P \u4f1a\u6839\u636e\u5b9e\u9645\u6982\u7387\u5206\u5e03\u52a8\u6001\u8c03\u6574\u5019\u9009\u8bcd\u6570\u91cf&#xff0c;\u800c\u4e0d\u662f\u673a\u68b0\u5730\u56fa\u5b9a\u4e3a K \u4e2a\u3002<\/p>\n<h4>9.5 \u5176\u4ed6\u91cd\u8981\u53c2\u6570<\/h4>\n<p>Repetition Penalty&#xff08;\u91cd\u590d\u60e9\u7f5a&#xff09;&#xff1a;\u964d\u4f4e\u5df2\u7ecf\u88ab\u751f\u6210\u8fc7\u7684\u8bcd\u7684\u6982\u7387&#xff0c;\u9632\u6b62\u6a21\u578b\u9677\u5165\u91cd\u590d\u5faa\u73af\u3002\u503c\u901a\u5e38\u5728 1.0-1.3 \u4e4b\u95f4\u30021.0 \u8868\u793a\u4e0d\u60e9\u7f5a&#xff0c;1.2 \u8868\u793a\u9002\u5ea6\u60e9\u7f5a&#xff08;\u964d\u4f4e\u5df2\u51fa\u73b0\u8bcd 20% \u7684\u6982\u7387&#xff09;\u3002\u503c\u592a\u9ad8\u4f1a\u5bfc\u81f4\u6a21\u578b\u523b\u610f\u56de\u907f\u5df2\u51fa\u73b0\u7684\u8bcd&#xff0c;\u8f93\u51fa\u4e0d\u81ea\u7136\u3002<\/p>\n<p>Frequency Penalty&#xff08;\u9891\u7387\u60e9\u7f5a&#xff09;&#xff1a;\u6839\u636e\u8bcd\u5728\u5df2\u751f\u6210\u6587\u672c\u4e2d\u51fa\u73b0\u7684\u6b21\u6570\u6765\u60e9\u7f5a\u2014\u2014\u51fa\u73b0\u6b21\u6570\u8d8a\u591a&#xff0c;\u60e9\u7f5a\u8d8a\u91cd\u3002\u8fd9\u4e0e Repetition Penalty \u4e0d\u540c&#xff1a;Repetition Penalty \u662f&#034;\u51fa\u73b0\u8fc7\u5c31\u60e9\u7f5a&#034;&#xff0c;Frequency Penalty \u662f&#034;\u51fa\u73b0\u8d8a\u591a\u60e9\u7f5a\u8d8a\u91cd&#034;\u3002<\/p>\n<p>Presence Penalty&#xff08;\u5b58\u5728\u60e9\u7f5a&#xff09;&#xff1a;\u7c7b\u4f3c Frequency Penalty&#xff0c;\u4f46\u60e9\u7f5a\u529b\u5ea6\u4e0e\u51fa\u73b0\u6b21\u6570\u65e0\u5173\u2014\u2014\u53ea\u8981\u51fa\u73b0\u8fc7\u5c31\u60e9\u7f5a&#xff0c;\u4e0d\u7ba1\u51fa\u73b0\u51e0\u6b21\u3002\u8fd9\u9f13\u52b1\u6a21\u578b\u5f15\u5165\u65b0\u8bdd\u9898\u548c\u8bcd\u6c47\u3002<\/p>\n<p>Min-P&#xff1a;2024 \u5e74\u63d0\u51fa\u7684\u65b0\u53c2\u6570&#xff0c;\u4f5c\u4e3a Top-P \u7684\u8865\u5145\u3002\u5b83\u8bbe\u7f6e\u4e00\u4e2a&#034;\u6700\u5c0f\u6982\u7387\u95e8\u69db&#034;\u2014\u2014\u53ea\u6709\u6982\u7387\u8d85\u8fc7\u6700\u5927\u6982\u7387 \u00d7 Min-P \u7684\u8bcd\u624d\u80fd\u88ab\u91c7\u6837\u3002\u6bd4\u5982 Min-P &#061; 0.1&#xff0c;\u5982\u679c\u6700\u5927\u6982\u7387\u662f 0.4&#xff0c;\u90a3\u4e48\u53ea\u6709\u6982\u7387 \u2265 0.04 \u7684\u8bcd\u624d\u80fd\u88ab\u91c7\u6837\u3002\u8fd9\u6709\u6548\u5730\u6392\u9664\u4e86&#034;\u867d\u7136\u5c5e\u4e8e Top-P \u96c6\u5408\u4f46\u6982\u7387\u6781\u4f4e&#034;\u7684\u8bcd\u3002<\/p>\n<h4>9.6 \u53c2\u6570\u7ec4\u5408\u5b9e\u6218\u6307\u5357<\/h4>\n<p>\u573a\u666f\u4e00&#xff1a;\u5199\u4ee3\u7801<\/p>\n<p>Temperature: 0.1<br \/>\nTop-P: 0.9<br \/>\nRepetition Penalty: 1.0&#xff08;\u4e0d\u60e9\u7f5a&#xff09;<\/p>\n<p>\u2192 \u4ee3\u7801\u9700\u8981\u7cbe\u786e&#xff0c;\u4e00\u70b9\u90fd\u4e0d\u80fd\u9519\u3002\u4f4e\u6e29\u5ea6\u786e\u4fdd\u6bcf\u6b21\u8f93\u51fa\u90fd\u662f\u6700&#034;\u6b63\u786e&#034;\u7684\u9009\u62e9\u3002<\/p>\n<p>\u573a\u666f\u4e8c&#xff1a;\u901a\u7528\u5bf9\u8bdd<\/p>\n<p>Temperature: 0.7<br \/>\nTop-P: 0.9<br \/>\nRepetition Penalty: 1.05<\/p>\n<p>\u2192 \u5e73\u8861\u51c6\u786e\u6027\u548c\u6d41\u7545\u6027&#xff0c;\u8f7b\u5fae\u9632\u6b62\u91cd\u590d\u3002<\/p>\n<p>\u573a\u666f\u4e09&#xff1a;\u521b\u610f\u5199\u4f5c<\/p>\n<p>Temperature: 1.0<br \/>\nTop-P: 0.95<br \/>\nRepetition Penalty: 1.1<br \/>\nFrequency Penalty: 0.1<\/p>\n<p>\u2192 \u9ad8\u6e29\u5ea6 &#043; \u9ad8 Top-P \u8ba9\u8f93\u51fa\u5145\u6ee1\u60f3\u8c61\u529b&#xff0c;\u9002\u5ea6\u7684\u60e9\u7f5a\u9632\u6b62\u7528\u8bcd\u5355\u8c03\u3002<\/p>\n<p>\u573a\u666f\u56db&#xff1a;\u4e8b\u5b9e\u6027\u95ee\u7b54<\/p>\n<p>Temperature: 0.0<br \/>\nTop-P: 1.0&#xff08;\u7981\u7528&#xff09;<br \/>\nRepetition Penalty: 1.0<\/p>\n<p>\u2192 \u96f6\u6e29\u5ea6 &#043; \u65e0\u622a\u65ad&#xff0c;\u9009\u62e9\u6700\u53ef\u80fd\u7684\u8bcd&#xff0c;\u786e\u4fdd\u8f93\u51fa\u7a33\u5b9a\u53ef\u590d\u73b0\u3002<\/p>\n<p>\u573a\u666f\u4e94&#xff1a;\u5934\u8111\u98ce\u66b4<\/p>\n<p>Temperature: 1.2<br \/>\nTop-P: 0.95<br \/>\nFrequency Penalty: 0.3<br \/>\nPresence Penalty: 0.2<\/p>\n<p>\u2192 \u9ad8\u6e29\u5ea6 &#043; \u5bbd\u677e\u622a\u65ad &#043; \u5f3a\u60e9\u7f5a&#xff0c;\u9f13\u52b1\u6a21\u578b\u4e0d\u65ad\u5f15\u5165\u65b0\u8bdd\u9898\u548c\u8bcd\u6c47\u3002<\/p>\n<hr \/>\n<h3>\u5341\u3001Token&#xff08;\u8bcd\u5143&#xff09;&#xff1a;\u8ba1\u8d39\u5355\u4f4d\u3001\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e0e\u6a21\u578b\u7406\u89e3\u80fd\u529b\u7684\u57fa\u77f3<\/h3>\n<h4>10.1 \u4ec0\u4e48\u662f Token<\/h4>\n<p>Token&#xff08;\u8bcd\u5143&#xff09;\u662f\u5927\u8bed\u8a00\u6a21\u578b\u5904\u7406\u6587\u672c\u65f6\u7684\u6700\u5c0f\u8bed\u4e49\u5355\u4f4d\u3002\u5b83\u4e0d\u662f\u5b57&#xff0c;\u4e5f\u4e0d\u662f\u5355\u8bcd&#xff0c;\u800c\u662f\u5c06\u6587\u672c\u62c6\u89e3\u4e3a\u6a21\u578b\u53ef\u7406\u89e3\u7684\u79bb\u6563\u5355\u5143 [8]\u3002<\/p>\n<p>Token \u901a\u8fc7\u5206\u8bcd\u5668&#xff08;Tokenizer&#xff09;\u5c06\u6587\u672c\u62c6\u5206\u800c\u6765\u3002\u4e0d\u540c\u6a21\u578b\u7684\u5206\u8bcd\u5668\u4e0d\u540c&#xff0c;\u540c\u4e00\u4e2a\u8bcd\u5728\u4e0d\u540c\u6a21\u578b\u4e2d\u53ef\u80fd\u88ab\u62c6\u5206\u6210\u4e0d\u540c\u7684 Token\u3002\u6bd4\u5982&#xff1a;<\/p>\n<table>\n<tr>\u6587\u672cGPT-4 \u5206\u8bcd\u5668Claude \u5206\u8bcd\u5668<\/tr>\n<tbody>\n<tr>\n<td>\u201c\u4eba\u5de5\u667a\u80fd\u201d<\/td>\n<td>2 \u4e2a Token&#xff08;\u201c\u4eba\u5de5\u201d &#043; \u201c\u667a\u80fd\u201d&#xff09;<\/td>\n<td>1 \u4e2a Token&#xff08;\u201c\u4eba\u5de5\u667a\u80fd\u201d&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u201cunbelievable\u201d<\/td>\n<td>3 \u4e2a Token&#xff08;\u201cun\u201d &#043; \u201cbelieve\u201d &#043; \u201cable\u201d&#xff09;<\/td>\n<td>2 \u4e2a Token&#xff08;\u201cunbelieve\u201d &#043; \u201cable\u201d&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u201cHello World\u201d<\/td>\n<td>2 \u4e2a Token&#xff08;\u201cHello\u201d &#043; &#034; World&#034;&#xff09;<\/td>\n<td>2 \u4e2a Token&#xff08;\u201cHello\u201d &#043; &#034; World&#034;&#xff09;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Token \u7684\u8ba1\u7b97\u89c4\u5219&#xff08;\u4ee5\u82f1\u6587\u4e3a\u4f8b&#xff0c;\u7c97\u7565\u4f30\u8ba1&#xff09;&#xff1a;<\/p>\n<ul>\n<li>1 \u4e2a\u82f1\u6587\u5355\u8bcd \u2248 1-1.5 \u4e2a Token<\/li>\n<li>1 \u4e2a\u4e2d\u6587\u5b57 \u2248 1.5-2 \u4e2a Token&#xff08;\u4e2d\u6587\u7684 Token \u6548\u7387\u6bd4\u82f1\u6587\u4f4e&#xff09;<\/li>\n<li>1 \u4e2a\u6807\u70b9\u7b26\u53f7 \u2248 1 \u4e2a Token<\/li>\n<li>\u4ee3\u7801\u7684 Token \u6548\u7387\u901a\u5e38\u6bd4\u81ea\u7136\u8bed\u8a00\u9ad8&#xff08;\u56e0\u4e3a\u4ee3\u7801\u4e2d\u7684\u5173\u952e\u8bcd\u548c\u7b26\u53f7\u66f4\u77ed&#xff09;<\/li>\n<\/ul>\n<h4>10.2 Token \u7684\u4e09\u5927\u4f5c\u7528<\/h4>\n<p>\u4f5c\u7528\u4e00&#xff1a;\u8ba1\u8d39\u5355\u4f4d<\/p>\n<p>\u51e0\u4e4e\u6240\u6709\u5546\u7528\u5927\u6a21\u578b\u90fd\u6309 Token \u6536\u8d39\u2014\u2014\u8f93\u5165 Token &#043; \u8f93\u51fa Token&#xff0c;\u6bcf\u767e\u4e07 Token \u4e00\u4e2a\u4ef7\u683c\u3002\u4e0d\u540c\u6a21\u578b\u7684\u4ef7\u683c\u5dee\u5f02\u5de8\u5927&#xff1a;<\/p>\n<table>\n<tr>\u6a21\u578b\u8f93\u5165\u4ef7\u683c&#xff08;\u6bcf\u767e\u4e07 Token&#xff09;\u8f93\u51fa\u4ef7\u683c&#xff08;\u6bcf\u767e\u4e07 Token&#xff09;<\/tr>\n<tbody>\n<tr>\n<td>GPT-5.1<\/td>\n<td>$2.50<\/td>\n<td>$10.00<\/td>\n<\/tr>\n<tr>\n<td>GPT-4o<\/td>\n<td>$2.50<\/td>\n<td>$10.00<\/td>\n<\/tr>\n<tr>\n<td>Claude Opus 4.6<\/td>\n<td>$15.00<\/td>\n<td>$75.00<\/td>\n<\/tr>\n<tr>\n<td>Claude Sonnet 4.5<\/td>\n<td>$3.00<\/td>\n<td>$15.00<\/td>\n<\/tr>\n<tr>\n<td>DeepSeek-V3<\/td>\n<td>$0.14&#xff08;\u7ea6 \u00a51&#xff09;<\/td>\n<td>$0.28&#xff08;\u7ea6 \u00a52&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>DeepSeek-R1<\/td>\n<td>$0.55<\/td>\n<td>$2.19<\/td>\n<\/tr>\n<tr>\n<td>Qwen 3.5<\/td>\n<td>$0.50<\/td>\n<td>$2.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48 DeepSeek \u5f15\u53d1\u4e86&#034;\u4ef7\u683c\u5c60\u592b&#034;\u7684\u8ba8\u8bba\u2014\u2014\u5b83\u7684 API \u4ef7\u683c\u6bd4 GPT-4o \u4f4e 18 \u500d&#xff0c;\u6bd4 Claude Opus \u4f4e 100 \u500d\u4ee5\u4e0a\u3002\u5bf9\u4e8e\u65e5\u5747 Token \u6d88\u8017\u91cf\u5927\u7684\u573a\u666f&#xff08;\u5982\u5ba2\u670d\u7cfb\u7edf\u3001\u5185\u5bb9\u751f\u6210\u5e73\u53f0&#xff09;&#xff0c;\u6a21\u578b\u9009\u62e9\u76f4\u63a5\u51b3\u5b9a\u4e86\u8fd0\u8425\u6210\u672c\u3002<\/p>\n<p>Token \u6d88\u8017\u7684\u9690\u6027\u6210\u672c&#xff1a;\u5f88\u591a\u4eba\u53ea\u5173\u6ce8\u8f93\u51fa Token \u7684\u8d39\u7528&#xff0c;\u5ffd\u7565\u4e86\u8f93\u5165 Token\u3002\u5b9e\u9645\u4e0a&#xff0c;\u6bcf\u6b21\u5bf9\u8bdd\u90fd\u9700\u8981\u628a\u6574\u4e2a\u5bf9\u8bdd\u5386\u53f2 &#043; \u7cfb\u7edf\u63d0\u793a\u8bcd\u4f5c\u4e3a\u8f93\u5165\u53d1\u9001\u7ed9\u6a21\u578b\u3002\u5982\u679c\u5bf9\u8bdd\u5df2\u7ecf\u8fdb\u884c\u4e86 20 \u8f6e&#xff0c;\u6bcf\u8f6e\u7684\u8f93\u5165\u90fd\u5305\u542b\u524d\u9762\u6240\u6709\u7684\u5bf9\u8bdd\u5185\u5bb9&#xff0c;\u8f93\u5165 Token \u7684\u6570\u91cf\u4f1a\u968f\u7740\u5bf9\u8bdd\u8f6e\u6b21\u7ebf\u6027\u589e\u957f&#xff0c;\u6700\u7ec8\u53ef\u80fd\u8fdc\u8d85\u8f93\u51fa Token\u3002<\/p>\n<p>\u4f5c\u7528\u4e8c&#xff1a;\u4e0a\u4e0b\u6587\u957f\u5ea6\u9650\u5236<\/p>\n<p>\u6a21\u578b\u6709\u6700\u5927\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;\u5982 8K\u300132K\u3001128K\u3001256K\u30011M Token&#xff09;&#xff0c;\u8d85\u8fc7\u4e0a\u9650\u6a21\u578b\u5c31\u65e0\u6cd5\u5904\u7406&#xff0c;\u4f1a\u622a\u65ad\u6216\u62a5\u9519\u3002<\/p>\n<p>\u4e0a\u4e0b\u6587\u7a97\u53e3\u5927\u5c0f\u51b3\u5b9a\u4e86\u6a21\u578b\u4e00\u6b21\u80fd&#034;\u770b\u5230&#034;\u591a\u5c11\u5185\u5bb9\u3002\u4e0d\u540c\u573a\u666f\u5bf9\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u9700\u6c42&#xff1a;<\/p>\n<table>\n<tr>\u573a\u666f\u5178\u578b Token \u9700\u6c42<\/tr>\n<tbody>\n<tr>\n<td>\u7b80\u5355\u95ee\u7b54<\/td>\n<td>1K-4K<\/td>\n<\/tr>\n<tr>\n<td>\u6587\u7ae0\u751f\u6210<\/td>\n<td>4K-16K<\/td>\n<\/tr>\n<tr>\n<td>\u4ee3\u7801\u5ba1\u67e5&#xff08;\u5355\u4e2a\u6587\u4ef6&#xff09;<\/td>\n<td>8K-32K<\/td>\n<\/tr>\n<tr>\n<td>\u957f\u6587\u6863\u5206\u6790&#xff08;\u5408\u540c\u3001\u8bba\u6587&#xff09;<\/td>\n<td>32K-128K<\/td>\n<\/tr>\n<tr>\n<td>\u4ee3\u7801\u5e93\u7ea7\u522b\u5206\u6790<\/td>\n<td>128K-256K<\/td>\n<\/tr>\n<tr>\n<td>\u6574\u672c\u4e66\u7ea7\u522b\u7684\u5206\u6790<\/td>\n<td>256K-1M<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4f5c\u7528\u4e09&#xff1a;\u51b3\u5b9a\u6a21\u578b\u7406\u89e3\u80fd\u529b<\/p>\n<p>Token \u5207\u5206\u8d8a\u5408\u7406&#xff0c;\u6a21\u578b\u8d8a\u80fd\u7406\u89e3\u8bed\u4e49\u3002\u5206\u8bcd\u5668\u7684\u8d28\u91cf\u76f4\u63a5\u5f71\u54cd\u6a21\u578b\u7684\u8bed\u8a00\u7406\u89e3\u80fd\u529b\u2014\u2014\u5982\u679c\u5206\u8bcd\u5668\u628a\u4e00\u4e2a\u5b8c\u6574\u7684\u8bed\u4e49\u5355\u5143&#xff08;\u5982&#034;\u4eba\u5de5\u667a\u80fd&#034;&#xff09;\u62c6\u6210\u4e86\u4e24\u4e2a\u65e0\u5173\u7684\u7247\u6bb5&#xff08;\u201c\u4eba\u201d&#043;\u201c\u5de5\u201d&#043;\u201c\u667a\u201d&#043;\u201c\u80fd\u201d&#xff09;&#xff0c;\u6a21\u578b\u5c31\u9700\u8981\u82b1\u8d39\u989d\u5916\u7684&#034;\u6ce8\u610f\u529b&#034;\u6765\u7406\u89e3\u8fd9\u4e9b\u7247\u6bb5\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n<h4>10.3 Token \u7684\u4e24\u79cd\u5206\u7c7b<\/h4>\n<p>\u8f93\u5165 Token&#xff08;Prompt Token \/ Input Token&#xff09;&#xff1a;\u53d1\u7ed9\u6a21\u578b\u7684\u5185\u5bb9&#xff0c;\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\u7528\u6237\u7684\u95ee\u9898<\/li>\n<li>\u5386\u53f2\u5bf9\u8bdd\u8bb0\u5f55&#xff08;\u4e4b\u524d\u7684\u95ee\u7b54&#xff09;<\/li>\n<li>\u4e0a\u4f20\u7684\u6587\u6863\u3001\u56fe\u7247\u3001\u4ee3\u7801<\/li>\n<li>\u7cfb\u7edf\u63d0\u793a\u8bcd<\/li>\n<\/ul>\n<p>\u8f93\u51fa Token&#xff08;Completion Token \/ Output Token&#xff09;&#xff1a;\u6a21\u578b\u751f\u6210\u7684\u56de\u7b54\u3002<\/p>\n<p>Token \u6d88\u8017\u7684\u5178\u578b\u5206\u5e03&#xff1a;<\/p>\n<p>\u4e00\u6b21\u5bf9\u8bdd\u7684\u603b Token \u6d88\u8017 &#061; \u8f93\u5165 Token &#043; \u8f93\u51fa Token<\/p>\n<p>\u5047\u8bbe\u4e00\u4e2a 20 \u8f6e\u5bf9\u8bdd&#xff1a;<br \/>\n&#8211; \u7cfb\u7edf\u63d0\u793a\u8bcd&#xff1a;500 Token&#xff08;\u6bcf\u8f6e\u90fd\u5305\u542b&#xff09;<br \/>\n&#8211; \u6bcf\u8f6e\u7528\u6237\u8f93\u5165&#xff1a;\u7ea6 200 Token<br \/>\n&#8211; \u6bcf\u8f6e AI \u8f93\u51fa&#xff1a;\u7ea6 500 Token<br \/>\n&#8211; \u7b2c 20 \u8f6e\u7684\u8f93\u5165\u5305\u542b&#xff1a;\u7cfb\u7edf\u63d0\u793a\u8bcd &#043; \u524d 19 \u8f6e\u7684\u5168\u90e8\u5185\u5bb9<\/p>\n<p>\u7b2c 20 \u8f6e\u7684\u8f93\u5165 Token \u2248 500 &#043; (200&#043;500) \u00d7 20 &#061; 14,500 Token<br \/>\n\u7b2c 20 \u8f6e\u7684\u8f93\u51fa Token \u2248 500 Token<br \/>\n\u7b2c 20 \u8f6e\u603b\u6d88\u8017 &#061; 15,000 Token<\/p>\n<p>\u6574\u4e2a\u5bf9\u8bdd\u7684\u603b Token \u6d88\u8017 \u2248 150,000 Token&#xff08;\u5b9e\u9645\u53ef\u80fd\u66f4\u591a&#xff09;<\/p>\n<p>\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u957f\u5bf9\u8bdd\u7684 API \u8d39\u7528\u6bd4\u9884\u671f\u9ad8\u2014\u2014\u6bcf\u6b21\u5bf9\u8bdd\u90fd\u5728&#034;\u91cd\u590d\u53d1\u9001&#034;\u4e4b\u524d\u7684\u5185\u5bb9\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e00\u3001\u4f1a\u8bdd\u8bb0\u5fc6&#xff08;Chat Memory&#xff09;&#xff1a;\u8ba9\u5bf9\u8bdd\u4fdd\u6301\u8fde\u8d2f\u7684\u6838\u5fc3\u673a\u5236<\/h3>\n<h4>11.1 \u4ec0\u4e48\u662f\u4f1a\u8bdd\u8bb0\u5fc6<\/h4>\n<p>\u5728\u5bf9\u8bdd\u7cfb\u7edf\u4e2d&#xff0c;\u4f1a\u8bdd\u8bb0\u5fc6&#xff08;Chat Memory&#xff09;\u6307\u7684\u662f\u6a21\u578b\u5bf9\u5386\u53f2\u5bf9\u8bdd\u5185\u5bb9\u7684\u5b58\u50a8\u4e0e\u5229\u7528\u673a\u5236\u3002\u5b83\u8ba9 AI \u80fd\u591f&#034;\u8bb0\u4f4f&#034;\u4e4b\u524d\u8bf4\u8fc7\u4ec0\u4e48&#xff0c;\u4ece\u800c\u5728\u540e\u7eed\u5bf9\u8bdd\u4e2d\u505a\u51fa\u8fde\u8d2f\u7684\u56de\u5e94 [9]\u3002<\/p>\n<p>\u4f1a\u8bdd\u8bb0\u5fc6\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\u7528\u6237\u4e4b\u524d\u8bf4\u8fc7\u7684\u8bdd&#xff1a;\u4f60\u7684\u504f\u597d\u3001\u4f60\u7684\u9700\u6c42\u3001\u4f60\u63d0\u5230\u8fc7\u7684\u4eba\u540d\u5730\u540d<\/li>\n<li>\u6a21\u578b\u4e4b\u524d\u7684\u56de\u7b54&#xff1a;AI \u8bf4\u8fc7\u4ec0\u4e48\u3001\u7ed9\u51fa\u4e86\u4ec0\u4e48\u5efa\u8bae<\/li>\n<li>\u5f53\u524d\u5bf9\u8bdd\u7684\u4e0a\u4e0b\u6587\u72b6\u6001&#xff1a;\u5bf9\u8bdd\u8fdb\u884c\u5230\u54ea\u4e00\u6b65\u4e86\u3001\u5f53\u524d\u5728\u8ba8\u8bba\u4ec0\u4e48\u8bdd\u9898<\/li>\n<\/ul>\n<p>\u6ca1\u6709\u4f1a\u8bdd\u8bb0\u5fc6\u7684\u5bf9\u8bdd&#xff1a;<\/p>\n<p>\u7528\u6237&#xff1a;\u6211\u5728\u505a\u4e00\u4e2a Spring AI \u9879\u76ee<br \/>\nAI&#xff1a;\u597d\u7684&#xff0c;Spring AI \u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u6846\u67b6<\/p>\n<p>\u7528\u6237&#xff1a;\u600e\u4e48\u63a5\u5165\u5927\u6a21\u578b&#xff1f;<br \/>\nAI&#xff1a;\u8bf7\u95ee\u60a8\u4f7f\u7528\u7684\u662f\u4ec0\u4e48\u6846\u67b6&#xff1f;\u9700\u8981\u6211\u5e2e\u60a8\u63a8\u8350\u5417&#xff1f;<\/p>\n<p>\u6709\u4f1a\u8bdd\u8bb0\u5fc6\u7684\u5bf9\u8bdd&#xff1a;<\/p>\n<p>\u7528\u6237&#xff1a;\u6211\u5728\u505a\u4e00\u4e2a Spring AI \u9879\u76ee<br \/>\nAI&#xff1a;\u597d\u7684&#xff0c;Spring AI \u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u6846\u67b6<\/p>\n<p>\u7528\u6237&#xff1a;\u600e\u4e48\u63a5\u5165\u5927\u6a21\u578b&#xff1f;<br \/>\nAI&#xff1a;\u5728 Spring AI \u4e2d\u63a5\u5165\u5927\u6a21\u578b&#xff0c;\u4f60\u9700\u8981\u5728 pom.xml \u4e2d\u6dfb\u52a0 spring-ai-openai-spring-boot-starter \u4f9d\u8d56&#xff0c;<br \/>\n\u7136\u540e\u5728 application.yml \u4e2d\u914d\u7f6e API Key&#8230;&#xff08;\u57fa\u4e8e\u4e4b\u524d\u7684\u4e0a\u4e0b\u6587&#xff0c;AI \u77e5\u9053\u4f60\u5728\u7528 Spring AI&#xff09;<\/p>\n<p>\u7b2c\u4e8c\u53e5\u867d\u7136\u6ca1\u63d0&#034;Spring AI&#034;&#xff0c;\u4f46 AI \u80fd\u7406\u89e3\u4f60\u662f\u5728\u5ef6\u7eed\u4e0a\u6587\u2014\u2014\u8fd9\u5c31\u662f\u4f1a\u8bdd\u8bb0\u5fc6\u5728\u8d77\u4f5c\u7528\u3002<\/p>\n<h4>11.2 \u4f1a\u8bdd\u8bb0\u5fc6\u7684\u4f5c\u7528<\/h4>\n<p>\u4e0a\u4e0b\u6587\u8fde\u8d2f&#xff1a;\u80fd\u7406\u89e3&#034;\u5b83&#034;\u3001\u201c\u8fd9\u4e2a\u201d\u3001\u201c\u90a3\u4e2a&#034;\u7b49\u6307\u4ee3&#xff0c;\u8ba9\u5bf9\u8bdd\u6d41\u7545\u4e0d\u8131\u8282\u3002\u6ca1\u6709\u4f1a\u8bdd\u8bb0\u5fc6&#xff0c;\u6bcf\u6b21\u5bf9\u8bdd\u90fd\u50cf&#034;\u7b2c\u4e00\u6b21\u89c1\u9762\u201d&#xff0c;\u6240\u6709\u6307\u4ee3\u90fd\u4f1a\u4e22\u5931\u3002<\/p>\n<p>\u51cf\u5c11\u91cd\u590d\u8f93\u5165&#xff1a;\u65e0\u9700\u6bcf\u6b21\u91cd\u590d\u80cc\u666f\u4fe1\u606f&#xff0c;\u4ea4\u4e92\u66f4\u9ad8\u6548\u3002\u6ca1\u6709\u4f1a\u8bdd\u8bb0\u5fc6&#xff0c;\u6bcf\u6b21\u5f00\u59cb\u65b0\u7684\u8bdd\u9898\u90fd\u9700\u8981\u91cd\u65b0\u8bf4\u4e00\u904d&#034;\u6211\u5728\u505a\u4e00\u4e2a Java \u9879\u76ee&#xff0c;\u7528 Spring Boot \u6846\u67b6&#xff0c;\u6570\u636e\u5e93\u662f MySQL\u2026&#034;<\/p>\n<p>\u4e2a\u6027\u5316\u4f53\u9a8c&#xff1a;\u8bb0\u4f4f\u7528\u6237\u504f\u597d\u3001\u5386\u53f2\u504f\u597d&#xff0c;\u63d0\u4f9b\u5b9a\u5236\u56de\u590d\u3002\u6bd4\u5982\u8bb0\u4f4f&#034;\u4f60\u4e0a\u6b21\u8bf4\u559c\u6b22\u7528 Python&#034;&#xff0c;\u4e0b\u6b21\u63a8\u8350\u4ee3\u7801\u65f6\u4f18\u5148\u7ed9 Python \u7248\u672c\u3002<\/p>\n<p>\u591a\u8f6e\u4efb\u52a1\u5b8c\u6210&#xff1a;\u9010\u6b65\u6536\u96c6\u4fe1\u606f&#xff0c;\u652f\u6301\u590d\u6742\u4efb\u52a1\u3002\u6bd4\u5982&#034;\u5e2e\u6211\u5199\u4e00\u4e2a\u7528\u6237\u6ce8\u518c\u63a5\u53e3&#034;\u2192&#034;\u52a0\u4e0a\u90ae\u7bb1\u9a8c\u8bc1&#034;\u2192&#034;\u518d\u52a0\u4e00\u4e2a\u624b\u673a\u53f7\u9a8c\u8bc1&#034;\u2192&#034;\u6700\u540e\u52a0\u4e0a\u5bc6\u7801\u5f3a\u5ea6\u68c0\u67e5&#034;&#xff0c;\u6bcf\u4e00\u6b65\u90fd\u5728\u524d\u4e00\u6b65\u7684\u57fa\u7840\u4e0a\u8fed\u4ee3\u3002<\/p>\n<h4>11.3 \u4f1a\u8bdd\u8bb0\u5fc6\u7684\u5b9e\u73b0\u65b9\u5f0f<\/h4>\n<p>LLM \u7684\u4f1a\u8bdd\u8bb0\u5fc6\u4e0d\u662f&#034;\u72ec\u7acb\u7684\u8bb0\u5fc6\u7cfb\u7edf&#034;&#xff0c;\u800c\u662f\u901a\u8fc7\u5c06\u5386\u53f2\u5bf9\u8bdd\u5185\u5bb9\u4f5c\u4e3a\u4e0a\u4e0b\u6587\u7684\u4e00\u90e8\u5206\u53d1\u9001\u7ed9\u6a21\u578b\u6765\u5b9e\u73b0\u7684\u3002\u6bcf\u6b21\u5bf9\u8bdd\u65f6&#xff0c;\u6a21\u578b\u4f1a\u6536\u5230&#xff1a;<\/p>\n<p>\u7cfb\u7edf\u63d0\u793a\u8bcd<br \/>\n&#043;<br \/>\n\u5386\u53f2\u5bf9\u8bdd\u8bb0\u5f55&#xff08;\u7528\u6237\u95ee\u9898 1 &#043; AI \u56de\u7b54 1 &#043; \u7528\u6237\u95ee\u9898 2 &#043; AI \u56de\u7b54 2 &#043; &#8230;&#xff09;<br \/>\n&#043;<br \/>\n\u5f53\u524d\u7528\u6237\u95ee\u9898<\/p>\n<p>\u6a21\u578b\u7684&#034;\u8bb0\u5fc6&#034;\u672c\u8d28\u4e0a\u5c31\u662f\u8fd9\u4e9b\u5386\u53f2\u5bf9\u8bdd\u6587\u672c\u3002\u6a21\u578b\u770b\u5230\u7684\u4e0d\u662f&#034;\u8bb0\u5fc6\u6570\u636e\u5e93&#034;&#xff0c;\u800c\u662f&#034;\u5bf9\u8bdd\u5386\u53f2\u6587\u672c&#034;\u3002\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u4f1a\u8bdd\u8bb0\u5fc6\u53d7\u4e0a\u4e0b\u6587\u7a97\u53e3\u9650\u5236\u2014\u2014\u8d85\u8fc7\u7a97\u53e3\u4e0a\u9650\u7684\u5386\u53f2\u5bf9\u8bdd\u4f1a\u88ab\u622a\u65ad\u6216\u9057\u5fd8\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e8c\u3001\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;Context Window&#xff09;&#xff1a;\u4ece&#034;\u80cc\u5305\u5bb9\u91cf&#034;\u7406\u89e3\u6a21\u578b\u8bb0\u5fc6\u8fb9\u754c<\/h3>\n<h4>12.1 \u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u6982\u5ff5<\/h4>\n<p>**\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;Context Window&#xff09;**\u662f\u5927\u8bed\u8a00\u6a21\u578b\u4e00\u6b21\u6700\u591a\u80fd\u5904\u7406\u7684\u8f93\u5165 Token \u6570\u91cf [10]\u3002<\/p>\n<p>\u8fd9\u4e2a\u9650\u5236\u662f\u786c\u6027\u7684\u2014\u2014\u4e0d\u662f&#034;\u5efa\u8bae\u4e0d\u8981\u8d85\u8fc7&#034;&#xff0c;\u800c\u662f&#034;\u8d85\u8fc7\u5c31\u65e0\u6cd5\u5904\u7406&#034;\u3002\u5982\u679c\u628a LLM \u6bd4\u4f5c\u4e00\u4e2a\u4eba&#xff0c;\u4e0a\u4e0b\u6587\u7a97\u53e3\u5c31\u662f\u5b83\u7684&#034;\u5de5\u4f5c\u8bb0\u5fc6\u5bb9\u91cf&#034;\u2014\u2014\u4e00\u6b21\u53ea\u80fd\u8bb0\u4f4f\u8fd9\u4e48\u591a\u5185\u5bb9&#xff0c;\u8d85\u8fc7\u7684\u90e8\u5206\u4f1a\u4e22\u5931\u3002<\/p>\n<h4>12.2 \u4e0a\u4e0b\u6587\u7a97\u53e3\u4e0e\u4f1a\u8bdd\u8bb0\u5fc6\u7684\u5173\u7cfb<\/h4>\n<p>\u8fd9\u4e24\u4e2a\u6982\u5ff5\u7ecf\u5e38\u88ab\u6df7\u6dc6&#xff0c;\u4f46\u5b83\u4eec\u7684\u5173\u7cfb\u53ef\u4ee5\u7528\u4e00\u4e2a\u76f4\u89c2\u7684\u6bd4\u55bb\u6765\u7406\u89e3&#xff1a;<\/p>\n<p>\u4e0a\u4e0b\u6587\u7a97\u53e3 &#061; \u80cc\u5305\u5bb9\u91cf<\/p>\n<p>\u5f53\u524d\u8f93\u5165 &#043; \u4f1a\u8bdd\u8bb0\u5fc6 &#043; \u7cfb\u7edf\u63d0\u793a\u8bcd &#061; \u4f60\u8981\u88c5\u8fdb\u53bb\u7684\u4e1c\u897f<\/p>\n<p>\u5982\u679c\u4e1c\u897f\u592a\u591a&#xff08;\u8d85\u8fc7\u80cc\u5305\u5bb9\u91cf&#xff09;&#xff0c;\u5c31\u4e0d\u80fd\u5168\u90e8\u88c5\u8fdb\u53bb\u3002\u4f60\u53ea\u80fd\u9009\u62e9&#xff1a;<\/p>\n<ul>\n<li>\u4e22\u6389\u4e00\u4e9b\u4e1c\u897f&#xff08;\u622a\u65ad\u5386\u53f2\u5bf9\u8bdd&#xff09;<\/li>\n<li>\u538b\u7f29\u4e1c\u897f&#xff08;\u7528\u6458\u8981\u4ee3\u66ff\u5b8c\u6574\u5bf9\u8bdd&#xff09;<\/li>\n<li>\u6362\u4e00\u4e2a\u66f4\u5927\u7684\u80cc\u5305&#xff08;\u4f7f\u7528\u4e0a\u4e0b\u6587\u7a97\u53e3\u66f4\u5927\u7684\u6a21\u578b&#xff09;<\/li>\n<\/ul>\n<p>\u5b9e\u9645\u60c5\u51b5&#xff1a;<\/p>\n<p>\u5047\u8bbe\u4e0a\u4e0b\u6587\u7a97\u53e3 &#061; 128K Token<\/p>\n<p>\u7cfb\u7edf\u63d0\u793a\u8bcd&#xff1a;2K Token<br \/>\n\u7528\u6237\u5f53\u524d\u8f93\u5165&#xff1a;1K Token<br \/>\n\u5269\u4f59\u53ef\u7528\u7a7a\u95f4&#xff1a;128K &#8211; 2K &#8211; 1K &#061; 125K Token<\/p>\n<p>\u8fd9\u4e9b 125K Token \u53ef\u4ee5\u88c5&#xff1a;<br \/>\n&#8211; \u7ea6 25 \u4e07\u82f1\u6587\u5b57\u7b26&#xff08;1 Token \u2248 4 \u82f1\u6587\u5b57\u7b26&#xff09;<br \/>\n&#8211; \u7ea6 62,500 \u4e2a\u4e2d\u6587\u5b57&#xff08;1 Token \u2248 2 \u4e2a\u4e2d\u6587\u5b57\u7b26&#xff09;<br \/>\n&#8211; \u7ea6 200 \u9875 A4 \u6587\u6863<br \/>\n&#8211; \u6216\u7ea6 150 \u8f6e\u4e4b\u524d\u7684\u5bf9\u8bdd\u5386\u53f2<\/p>\n<p>\u5f53\u5bf9\u8bdd\u5386\u53f2\u8d85\u8fc7 150 \u8f6e\u65f6&#xff0c;\u6700\u65e9\u7684\u5bf9\u8bdd\u4f1a\u88ab&#034;\u9057\u5fd8&#034;\u3002<\/p>\n<h4>12.3 \u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u6f14\u8fdb<\/h4>\n<p>\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u5927\u5c0f\u5728\u8fc7\u53bb\u4e24\u5e74\u4e2d\u7ecf\u5386\u4e86\u7206\u70b8\u5f0f\u589e\u957f&#xff1a;<\/p>\n<table>\n<tr>\u65f6\u95f4\u6a21\u578b\u4e0a\u4e0b\u6587\u7a97\u53e3<\/tr>\n<tbody>\n<tr>\n<td>2022 \u5e74<\/td>\n<td>GPT-3.5<\/td>\n<td>4K Token<\/td>\n<\/tr>\n<tr>\n<td>2023 \u5e74<\/td>\n<td>GPT-4<\/td>\n<td>8K-32K Token<\/td>\n<\/tr>\n<tr>\n<td>2023 \u5e74<\/td>\n<td>Claude 2<\/td>\n<td>100K Token<\/td>\n<\/tr>\n<tr>\n<td>2024 \u5e74<\/td>\n<td>GPT-4 Turbo<\/td>\n<td>128K Token<\/td>\n<\/tr>\n<tr>\n<td>2024 \u5e74<\/td>\n<td>Claude 3<\/td>\n<td>200K Token<\/td>\n<\/tr>\n<tr>\n<td>2024 \u5e74<\/td>\n<td>Gemini 1.5 Pro<\/td>\n<td>1M Token<\/td>\n<\/tr>\n<tr>\n<td>2025 \u5e74<\/td>\n<td>Claude Opus 4<\/td>\n<td>262K Token<\/td>\n<\/tr>\n<tr>\n<td>2025 \u5e74<\/td>\n<td>Gemini 2.5 Pro<\/td>\n<td>1M Token<\/td>\n<\/tr>\n<tr>\n<td>2026 \u5e74<\/td>\n<td>GPT-5.1<\/td>\n<td>256K Token<\/td>\n<\/tr>\n<tr>\n<td>2026 \u5e74<\/td>\n<td>Claude Opus 4.6<\/td>\n<td>1M Token&#xff08;Beta&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>2026 \u5e74<\/td>\n<td>Gemini 3.1 Pro<\/td>\n<td>1M Token<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>1M Token \u610f\u5473\u7740\u4ec0\u4e48&#xff1f;\u5b83\u53ef\u4ee5\u4e00\u6b21\u6027\u5904\u7406&#xff1a;<\/p>\n<ul>\n<li>\u7ea6 150 \u4e07\u82f1\u6587\u5b57\u7b26<\/li>\n<li>\u7ea6 50 \u4e07\u4e2a\u4e2d\u6587\u5b57<\/li>\n<li>\u4e00\u6574\u90e8\u300a\u4e09\u4f53\u300b\u4e09\u90e8\u66f2<\/li>\n<li>\u6216\u4e00\u4e2a\u4e2d\u7b49\u89c4\u6a21\u4ee3\u7801\u5e93\u7684\u5168\u90e8\u6e90\u4ee3\u7801<\/li>\n<\/ul>\n<h4>12.4 \u4e0a\u4e0b\u6587\u7a97\u53e3\u7684&#034;\u5929\u82b1\u677f\u6548\u5e94&#034;<\/h4>\n<p>\u4e0a\u4e0b\u6587\u7a97\u53e3\u8d8a\u5927\u8d8a\u597d\u5417&#xff1f;\u4e0d\u5b8c\u5168\u662f\u3002\u6709\u4e24\u4e2a\u5b9e\u9645\u95ee\u9898\u9700\u8981\u8003\u8651&#xff1a;<\/p>\n<p>\u6ce8\u610f\u529b\u7a00\u91ca&#xff1a;\u5f53\u4e0a\u4e0b\u6587\u7a97\u53e3\u975e\u5e38\u5927\u65f6&#xff0c;\u6a21\u578b\u5bf9\u4e2d\u95f4\u548c\u540e\u534a\u90e8\u5206\u5185\u5bb9\u7684&#034;\u6ce8\u610f\u529b&#034;\u4f1a\u4e0b\u964d\u3002\u7814\u7a76\u8868\u660e&#xff0c;LLM \u5bf9\u4e0a\u4e0b\u6587\u5f00\u5934\u548c\u7ed3\u5c3e\u7684\u5185\u5bb9\u5173\u6ce8\u5ea6\u6700\u9ad8&#xff0c;\u5bf9\u4e2d\u95f4\u90e8\u5206\u5173\u6ce8\u5ea6\u8f83\u4f4e\u3002\u8fd9\u88ab\u79f0\u4e3a&#034;Lost in the Middle&#034;&#xff08;\u8ff7\u5931\u5728\u4e2d\u95f4&#xff09;\u73b0\u8c61\u3002<\/p>\n<p>\u6210\u672c\u66b4\u589e&#xff1a;\u6bcf\u6b21\u5bf9\u8bdd\u90fd\u8981\u628a\u6574\u4e2a\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u5185\u5bb9\u53d1\u9001\u7ed9\u6a21\u578b\u3002\u5373\u4f7f\u4f60\u7684\u95ee\u9898\u53ea\u6709 100 \u4e2a Token&#xff0c;\u5982\u679c\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e2d\u6709 100K \u7684\u6587\u6863&#xff0c;\u4f60\u4ecd\u7136\u9700\u8981\u4e3a\u8fd9 100K \u7684\u8f93\u5165 Token \u4ed8\u8d39\u3002\u5927\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684&#034;\u9690\u5f62\u6210\u672c&#034;\u662f API \u8d39\u7528\u7684\u663e\u8457\u589e\u52a0\u3002<\/p>\n<p>\u5b9e\u7528\u5efa\u8bae&#xff1a;\u4e0d\u8981\u56e0\u4e3a\u6a21\u578b\u652f\u6301 1M Token \u5c31\u628a\u6574\u672c\u4e66\u4e22\u8fdb\u53bb\u3002\u66f4\u9ad8\u6548\u7684\u505a\u6cd5\u662f&#xff1a;\u5148\u7528 RAG \u68c0\u7d22\u51fa\u76f8\u5173\u7247\u6bb5&#xff0c;\u518d\u628a\u7247\u6bb5\u653e\u5165\u4e0a\u4e0b\u6587\u7a97\u53e3\u3002\u8fd9\u6837\u65e2\u4fdd\u8bc1\u4e86\u51c6\u786e\u6027&#xff0c;\u53c8\u63a7\u5236\u4e86\u6210\u672c\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e09\u3001\u591a\u6a21\u6001&#xff08;Multimodal&#xff09;&#xff1a;\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u3001\u89c6\u9891\u7684\u878d\u5408\u667a\u80fd<\/h3>\n<h4>13.1 \u4ec0\u4e48\u662f\u591a\u6a21\u6001<\/h4>\n<p>**\u591a\u6a21\u6001&#xff08;Multimodal&#xff09;**\u662f\u6307\u878d\u5408\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u3001\u89c6\u9891\u7b49\u591a\u79cd\u7c7b\u578b\u4fe1\u606f&#xff0c;\u8ba9\u6a21\u578b\u80fd\u7406\u89e3\u3001\u751f\u6210\u4e0d\u540c\u6a21\u6001\u6570\u636e\u7684\u6280\u672f [11][12]\u3002<\/p>\n<p>\u5355\u6a21\u6001 vs \u591a\u6a21\u6001&#xff1a;<\/p>\n<ul>\n<li>\u5355\u6a21\u6001\u6a21\u578b\u53ea\u80fd\u5904\u7406\u4e00\u79cd\u6570\u636e\u7c7b\u578b\u3002\u6bd4\u5982\u7eaf\u6587\u672c\u6a21\u578b\u53ea\u80fd\u7406\u89e3\u548c\u751f\u6210\u6587\u5b57&#xff0c;\u4f60\u7ed9\u5b83\u4e00\u5f20\u56fe\u7247\u5b83\u5b8c\u5168\u4e0d\u77e5\u9053\u8be5\u600e\u4e48\u5904\u7406<\/li>\n<li>\u591a\u6a21\u6001\u6a21\u578b\u80fd\u540c\u65f6\u5904\u7406\u591a\u79cd\u6570\u636e\u7c7b\u578b\u3002\u6bd4\u5982 GPT-4o \u80fd\u7406\u89e3\u56fe\u7247\u4e2d\u7684\u6587\u5b57\u548c\u7269\u4f53&#xff0c;\u80fd\u8bc6\u522b\u8bed\u97f3\u4e2d\u7684\u60c5\u7eea&#xff0c;\u8fd8\u80fd\u751f\u6210\u56fe\u7247<\/li>\n<\/ul>\n<p>\u4ece\u5355\u6a21\u6001\u5230\u591a\u6a21\u6001\u7684\u8f6c\u53d8&#xff0c;\u672c\u8d28\u4e0a\u662f\u8ba9 AI \u7684\u611f\u77e5\u80fd\u529b\u4ece&#034;\u53ea\u80fd\u8bfb\u6587\u5b57&#034;\u6269\u5c55\u5230&#034;\u50cf\u4eba\u4e00\u6837\u7efc\u5408\u611f\u77e5&#034;\u2014\u2014\u4eba\u4e0d\u4f1a\u53ea\u7528\u773c\u775b\u770b&#xff0c;\u4e5f\u4e0d\u4f1a\u53ea\u7528\u8033\u6735\u542c&#xff0c;\u800c\u662f\u591a\u79cd\u611f\u5b98\u534f\u540c\u5de5\u4f5c&#xff0c;\u5f62\u6210\u5bf9\u4e16\u754c\u7684\u5b8c\u6574\u7406\u89e3\u3002<\/p>\n<h4>13.2 \u5e38\u89c1\u7684\u6a21\u6001\u7c7b\u578b<\/h4>\n<table>\n<tr>\u6a21\u6001\u8f93\u5165\u80fd\u529b\u8f93\u51fa\u80fd\u529b\u793a\u4f8b<\/tr>\n<tbody>\n<tr>\n<td>\u6587\u672c&#xff08;Text&#xff09;<\/td>\n<td>\u7406\u89e3\u81ea\u7136\u8bed\u8a00<\/td>\n<td>\u751f\u6210\u81ea\u7136\u8bed\u8a00<\/td>\n<td>\u95ee\u7b54\u3001\u7ffb\u8bd1\u3001\u5199\u4f5c<\/td>\n<\/tr>\n<tr>\n<td>\u56fe\u50cf&#xff08;Image&#xff09;<\/td>\n<td>\u8bc6\u522b\u7269\u4f53\u3001\u573a\u666f\u3001\u6587\u5b57<\/td>\n<td>\u751f\u6210\u56fe\u7247\u3001\u7f16\u8f91\u56fe\u7247<\/td>\n<td>\u6587\u751f\u56fe\u3001\u56fe\u751f\u6587\u3001\u56fe\u7247\u7f16\u8f91<\/td>\n<\/tr>\n<tr>\n<td>\u97f3\u9891&#xff08;Audio&#xff09;<\/td>\n<td>\u8bed\u97f3\u8bc6\u522b\u3001\u97f3\u4e50\u7406\u89e3<\/td>\n<td>\u8bed\u97f3\u5408\u6210\u3001\u97f3\u4e50\u751f\u6210<\/td>\n<td>\u8bed\u97f3\u52a9\u624b\u3001\u97f3\u4e50\u521b\u4f5c<\/td>\n<\/tr>\n<tr>\n<td>\u89c6\u9891&#xff08;Video&#xff09;<\/td>\n<td>\u573a\u666f\u7406\u89e3\u3001\u884c\u4e3a\u8bc6\u522b<\/td>\n<td>\u89c6\u9891\u751f\u6210\u3001\u89c6\u9891\u7f16\u8f91<\/td>\n<td>Sora\u3001\u53ef\u7075\u3001\u5373\u68a6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>13.3 \u591a\u6a21\u6001\u7684\u5178\u578b\u5e94\u7528\u573a\u666f<\/h4>\n<p>\u667a\u80fd\u95ee\u7b54 \u2014\u2014 \u4e0a\u4f20\u56fe\u7247 &#043; \u63d0\u95ee<\/p>\n<p>\u573a\u666f&#xff1a;\u533b\u7597\u5f71\u50cf\u5206\u6790<br \/>\n\u7528\u6237\u4e0a\u4f20\u4e00\u5f20 X \u5149\u7247&#xff0c;\u63d0\u95ee&#xff1a;&#034;\u8fd9\u5f20 X \u5149\u7247\u4e2d\u6709\u5f02\u5e38\u5417&#xff1f;&#034;<br \/>\nAI \u5206\u6790\u56fe\u7247\u4e2d\u7684\u9aa8\u9abc\u7ed3\u6784&#xff0c;\u8bc6\u522b\u53ef\u80fd\u7684\u9aa8\u6298\u6216\u75c5\u53d8&#xff0c;\u7ed9\u51fa\u521d\u6b65\u5224\u65ad\u548c\u5efa\u8bae<\/p>\n<p>\u6587\u751f\u56fe \u2014\u2014 \u6587\u672c\u63cf\u8ff0 \u2192 \u56fe\u7247<\/p>\n<p>\u573a\u666f&#xff1a;AI \u7ed8\u753b<br \/>\n\u7528\u6237\u8f93\u5165&#xff1a;&#034;\u4e00\u53ea\u7a7f\u7740\u5b87\u822a\u670d\u7684\u67f4\u72ac&#xff0c;\u7ad9\u5728\u6708\u7403\u8868\u9762&#xff0c;\u80cc\u666f\u662f\u84dd\u8272\u7684\u5730\u7403&#034;<br \/>\nAI \u751f\u6210\u5bf9\u5e94\u7684\u56fe\u7247<\/p>\n<p>\u4ee3\u8868\u5de5\u5177&#xff1a;DALL-E 3\u3001Midjourney\u3001Stable Diffusion\u3001Seedream&#xff08;\u5b57\u8282\u8df3\u52a8&#xff09;<\/p>\n<p>\u56fe\u751f\u6587 \u2014\u2014 \u56fe\u7247 \u2192 \u6587\u5b57\u63cf\u8ff0<\/p>\n<p>\u573a\u666f&#xff1a;\u5546\u54c1\u63cf\u8ff0\u751f\u6210<br \/>\n\u7528\u6237\u4e0a\u4f20\u4e00\u5f20\u5546\u54c1\u56fe\u7247<br \/>\nAI \u81ea\u52a8\u751f\u6210\u5546\u54c1\u6807\u9898\u3001\u63cf\u8ff0\u3001\u5356\u70b9<\/p>\n<p>\u8bed\u97f3\u52a9\u624b \u2014\u2014 \u8bed\u97f3 \u2192 \u6587\u672c \u2192 LLM \u2192 \u8bed\u97f3<\/p>\n<p>\u573a\u666f&#xff1a;\u667a\u80fd\u5ba2\u670d<br \/>\n\u7528\u6237&#xff1a;&#034;\u6211\u8981\u67e5\u8be2\u6211\u7684\u8ba2\u5355\u72b6\u6001&#034;<br \/>\nAI \u5148\u505a\u8bed\u97f3\u8bc6\u522b&#xff08;ASR&#xff09;&#xff1a;&#034;\u6211\u8981\u67e5\u8be2\u6211\u7684\u8ba2\u5355\u72b6\u6001&#034;&#xff08;\u6587\u5b57&#xff09;<br \/>\n\u2192 \u4ea4\u7ed9 LLM \u7406\u89e3\u610f\u56fe\u5e76\u67e5\u8be2\u8ba2\u5355<br \/>\n\u2192 \u751f\u6210\u56de\u590d\u6587\u5b57&#xff1a;&#034;\u60a8\u7684\u8ba2\u5355\u5df2\u53d1\u8d27&#xff0c;\u9884\u8ba1\u660e\u5929\u5230\u8fbe&#034;<br \/>\n\u2192 \u8bed\u97f3\u5408\u6210&#xff08;TTS&#xff09;&#xff1a;\u7528\u6237\u542c\u5230 AI \u7684\u8bed\u97f3\u56de\u590d<\/p>\n<p>\u89c6\u9891\u7406\u89e3 \u2014\u2014 \u89c6\u9891\u6458\u8981\u3001\u884c\u4e3a\u8bc6\u522b<\/p>\n<p>\u573a\u666f&#xff1a;\u5b89\u9632\u76d1\u63a7<br \/>\n\u76d1\u63a7\u6444\u50cf\u5934\u5b9e\u65f6\u5206\u6790\u89c6\u9891\u6d41<br \/>\nAI \u8bc6\u522b\u5f02\u5e38\u884c\u4e3a&#xff08;\u5982&#034;\u6709\u4eba\u95ef\u5165\u7981\u533a&#034;&#xff09;&#xff0c;\u81ea\u52a8\u544a\u8b66<\/p>\n<p>\u89c6\u9891\u751f\u6210 \u2014\u2014 \u6587\u5b57\u63cf\u8ff0 \u2192 \u89c6\u9891<\/p>\n<p>\u573a\u666f&#xff1a;\u521b\u610f\u5185\u5bb9\u5236\u4f5c<br \/>\n\u7528\u6237\u8f93\u5165&#xff1a;&#034;\u4e00\u53ea\u732b\u5728\u6708\u7403\u4e0a\u5f39\u94a2\u7434&#xff0c;\u80cc\u666f\u662f\u661f\u7a7a&#034;<br \/>\nAI \u751f\u6210\u5bf9\u5e94\u7684\u77ed\u89c6\u9891<\/p>\n<p>\u4ee3\u8868\u5de5\u5177&#xff1a;Sora&#xff08;OpenAI&#xff09;\u3001\u53ef\u7075&#xff08;\u5feb\u624b&#xff09;\u3001\u5373\u68a6&#xff08;\u5b57\u8282\u8df3\u52a8&#xff09;<\/p>\n<h4>13.4 \u591a\u6a21\u6001\u7684\u6280\u672f\u6838\u5fc3<\/h4>\n<p>\u591a\u6a21\u6001\u6a21\u578b\u7684\u6838\u5fc3\u6311\u6218\u662f\u6a21\u6001\u5bf9\u9f50\u2014\u2014\u5982\u4f55\u8ba9\u6a21\u578b\u7406\u89e3&#034;\u8fd9\u6bb5\u6587\u5b57&#034;\u548c&#034;\u8fd9\u5f20\u56fe\u7247&#034;\u63cf\u8ff0\u7684\u662f\u540c\u4e00\u4e2a\u4e1c\u897f\u3002<\/p>\n<p>\u6280\u672f\u5b9e\u73b0\u4e0a&#xff0c;\u6709\u4e24\u79cd\u4e3b\u8981\u8def\u5f84&#xff1a;<\/p>\n<p>\u8def\u5f84\u4e00&#xff1a;\u7edf\u4e00\u7f16\u7801\u3002\u5c06\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u7b49\u4e0d\u540c\u6a21\u6001\u7684\u6570\u636e\u7edf\u4e00\u7f16\u7801\u5230\u540c\u4e00\u4e2a\u5411\u91cf\u7a7a\u95f4\u4e2d\u3002\u5728\u8fd9\u4e2a\u7a7a\u95f4\u4e2d&#xff0c;\u8bed\u4e49\u76f8\u8fd1\u7684\u5185\u5bb9&#xff08;\u65e0\u8bba\u662f\u4ec0\u4e48\u6a21\u6001&#xff09;\u5411\u91cf\u8ddd\u79bb\u4e5f\u76f8\u8fd1\u3002\u6bd4\u5982&#034;\u732b&#034;\u8fd9\u4e2a\u8bcd\u7684\u6587\u672c\u5411\u91cf&#xff0c;\u548c\u4e00\u5f20\u732b\u7684\u56fe\u7247\u5411\u91cf&#xff0c;\u5728\u5411\u91cf\u7a7a\u95f4\u4e2d\u5e94\u8be5\u975e\u5e38\u63a5\u8fd1\u3002<\/p>\n<p>\u8def\u5f84\u4e8c&#xff1a;\u8de8\u6a21\u6001\u6ce8\u610f\u529b\u3002\u4f7f\u7528 Transformer \u7684\u6ce8\u610f\u529b\u673a\u5236&#xff0c;\u8ba9\u6a21\u578b\u5728\u5904\u7406\u4e00\u79cd\u6a21\u6001\u65f6&#xff0c;\u80fd\u540c\u65f6&#034;\u5173\u6ce8&#034;\u5230\u53e6\u4e00\u79cd\u6a21\u6001\u7684\u4fe1\u606f\u3002\u6bd4\u5982\u5728\u751f\u6210\u56fe\u7247\u63cf\u8ff0\u65f6&#xff0c;\u6a21\u578b\u7684\u6ce8\u610f\u529b\u53ef\u4ee5\u5728\u56fe\u7247\u7684\u4e0d\u540c\u533a\u57df\u548c\u5df2\u751f\u6210\u7684\u6587\u5b57\u4e4b\u95f4\u81ea\u7531\u5207\u6362\u3002<\/p>\n<p>\u5f53\u524d\u6700\u5148\u8fdb\u7684\u591a\u6a21\u6001\u6a21\u578b&#xff08;\u5982 GPT-5.1\u3001Gemini 2.5 Pro&#xff09;\u540c\u65f6\u4f7f\u7528\u4e86\u8fd9\u4e24\u79cd\u6280\u672f&#xff0c;\u5b9e\u73b0\u4e86\u539f\u751f\u591a\u6a21\u6001\u7406\u89e3\u548c\u751f\u6210\u3002<\/p>\n<hr \/>\n<h3>\u5341\u56db\u3001RAG&#xff08;\u68c0\u7d22\u589e\u5f3a\u751f\u6210&#xff09;&#xff1a;\u7ed9 AI \u88c5\u4e0a&#034;\u5916\u6302\u5927\u8111&#034;<\/h3>\n<h4>14.1 \u4ec0\u4e48\u662f RAG<\/h4>\n<p>**RAG&#xff08;Retrieval Augmented Generation&#xff0c;\u68c0\u7d22\u589e\u5f3a\u751f\u6210&#xff09;**\u662f\u4e00\u79cd\u7ed3\u5408\u5916\u90e8\u77e5\u8bc6\u5e93\u68c0\u7d22\u4e0e\u5927\u6a21\u578b\u751f\u6210\u7684\u6280\u672f\u3002\u6838\u5fc3\u662f\u8ba9\u5927\u6a21\u578b\u5728\u56de\u7b54\u524d\u5148&#034;\u67e5\u8d44\u6599&#034;&#xff08;\u68c0\u7d22\u5916\u90e8\u77e5\u8bc6\u5e93&#xff09;&#xff0c;\u518d\u57fa\u4e8e\u68c0\u7d22\u5230\u7684\u6743\u5a01\u4fe1\u606f\u751f\u6210\u7b54\u6848 [13][14]\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091732-6a91522c90267.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>RAG \u5c31\u50cf\u7ed9 AI \u88c5\u4e0a\u4e86&#034;\u5916\u6302\u5927\u8111&#034;&#xff1a;\u8ba9\u5b83\u5728\u56de\u7b54\u95ee\u9898\u65f6&#xff0c;\u5148\u4ece\u5916\u90e8\u77e5\u8bc6\u5e93\u4e2d\u68c0\u7d22\u76f8\u5173\u7247\u6bb5&#xff0c;\u518d\u5c06\u8fd9\u4e9b\u7247\u6bb5\u4f5c\u4e3a\u4e0a\u4e0b\u6587&#xff0c;\u8f93\u5165\u7ed9\u6a21\u578b\u3002\u8fd9\u6837&#xff0c;AI \u7684\u56de\u7b54\u5c31\u57fa\u4e8e\u771f\u5b9e\u3001\u6700\u65b0\u6570\u636e&#xff0c;\u5927\u5e45\u51cf\u5c11&#034;\u5e7b\u89c9&#034;&#xff08;\u7f16\u9020\u7b54\u6848&#xff09;&#xff0c;\u540c\u65f6\u652f\u6301\u52a8\u6001\u77e5\u8bc6\u66f4\u65b0\u3002<\/p>\n<h4>14.2 \u4e00\u4e2a\u76f4\u89c2\u7684\u7c7b\u6bd4&#xff1a;\u5f00\u5377\u8003\u8bd5 vs \u95ed\u5377\u8003\u8bd5<\/h4>\n<ul>\n<li>\u4f20\u7edf LLM&#xff1a;\u5c31\u50cf\u95ed\u5377\u8003\u8bd5\u2014\u2014\u4f60\u53ea\u80fd\u9760\u6b7b\u8bb0\u786c\u80cc&#xff08;\u8bad\u7ec3\u6570\u636e&#xff09;&#xff0c;\u53ef\u80fd\u628a&#034;\u79e6\u59cb\u7687\u7edf\u4e00\u516d\u56fd&#034;\u9519\u8bb0\u6210&#034;\u79e6\u59cb\u7687\u7edf\u4e00\u4e03\u56fd&#034;<\/li>\n<li>RAG&#xff1a;\u5c31\u50cf\u5f00\u5377\u8003\u8bd5\u2014\u2014\u7ed9\u4f60\u53d1\u4e86\u4e00\u672c\u5386\u53f2\u4e66&#xff08;RAG \u7684\u77e5\u8bc6\u5e93&#xff09;&#xff0c;\u4f60\u5148\u5feb\u901f\u7ffb\u4e66\u627e\u5230&#034;\u79e6\u671d&#034;\u7ae0\u8282&#xff08;\u68c0\u7d22&#xff09;&#xff0c;\u518d\u6839\u636e\u4e66\u91cc\u7684\u5185\u5bb9\u7ec4\u7ec7\u7b54\u6848&#xff08;\u751f\u6210&#xff09;&#xff0c;\u786e\u4fdd\u7b54\u6848\u662f\u771f\u5b9e\u7684<\/li>\n<\/ul>\n<p>RAG \u8ba9 AI \u4ece&#034;\u80cc\u4e66\u673a\u5668&#034;\u5347\u7ea7\u4e3a&#034;\u4f1a\u67e5\u8d44\u6599\u7684\u4e13\u5bb6&#034;&#xff0c;\u9002\u5408\u9700\u8981\u9ad8\u51c6\u786e\u6027\u7684\u573a\u666f&#xff08;\u5982\u533b\u7597\u54a8\u8be2\u3001\u6cd5\u5f8b\u95ee\u7b54\u3001\u4f01\u4e1a\u77e5\u8bc6\u5e93&#xff09;\u3002<\/p>\n<h4>14.3 RAG \u89e3\u51b3\u7684\u6838\u5fc3\u95ee\u9898<\/h4>\n<p>\u95ee\u9898\u4e00&#xff1a;\u77e5\u8bc6\u8fc7\u65f6<\/p>\n<p>\u5927\u6a21\u578b\u8bad\u7ec3\u6570\u636e\u662f&#034;\u5386\u53f2\u7684&#034;\u2014\u2014GPT-4 \u7684\u8bad\u7ec3\u6570\u636e\u622a\u6b62\u5230 2024 \u5e74\u67d0\u4e2a\u65f6\u95f4\u70b9&#xff0c;\u4e4b\u540e\u53d1\u751f\u7684\u4e8b\u5b83\u4e00\u6982\u4e0d\u77e5\u3002\u800c RAG \u53ef\u4ee5\u63a5\u5165\u6700\u65b0\u6587\u6863\u3001\u5b9e\u65f6\u6570\u636e\u3001\u5185\u90e8\u77e5\u8bc6\u5e93&#xff0c;\u5b9e\u73b0&#034;\u52a8\u6001\u77e5\u8bc6&#034;\u3002<\/p>\n<p>\u4f20\u7edf LLM&#xff1a;<br \/>\n\u95ee&#xff1a;&#034;2026 \u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u83b7\u5f97\u8005\u662f\u8c01&#xff1f;&#034;<br \/>\n\u7b54&#xff1a;&#034;\u6211\u65e0\u6cd5\u56de\u7b54&#xff0c;\u6211\u7684\u8bad\u7ec3\u6570\u636e\u622a\u6b62\u5230 2024 \u5e74&#8230;&#034;&#xff08;\u6216\u7f16\u9020\u4e00\u4e2a\u7b54\u6848&#xff09;<\/p>\n<p>RAG \u589e\u5f3a\u7684 LLM&#xff1a;<br \/>\n\u95ee&#xff1a;&#034;2026 \u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u83b7\u5f97\u8005\u662f\u8c01&#xff1f;&#034;<br \/>\n\u2192 \u68c0\u7d22 \u2192 \u4ece\u6700\u65b0\u65b0\u95fb\u4e2d\u627e\u5230\u7b54\u6848<br \/>\n\u7b54&#xff1a;&#034;2026 \u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u6388\u4e88\u4e86&#8230;&#034;<\/p>\n<p>\u95ee\u9898\u4e8c&#xff1a;\u5e7b\u89c9&#xff08;Hallucination&#xff09;<\/p>\n<p>\u6a21\u578b\u5bb9\u6613&#034;\u7f16\u7b54\u6848&#034;\u2014\u2014\u5f53\u5b83\u4e0d\u77e5\u9053\u7b54\u6848\u65f6&#xff0c;\u5b83\u4f1a\u751f\u6210\u4e00\u4e2a\u770b\u8d77\u6765\u5408\u7406\u4f46\u5b9e\u9645\u4e0a\u662f\u9519\u8bef\u7684\u56de\u7b54\u3002RAG \u57fa\u4e8e\u771f\u5b9e\u6587\u6863&#xff0c;\u4e3a\u56de\u7b54\u63d0\u4f9b\u4f9d\u636e&#xff0c;\u5927\u5e45\u964d\u4f4e\u5e7b\u89c9\u3002<\/p>\n<p>\u95ee\u9898\u4e09&#xff1a;\u79c1\u6709\u77e5\u8bc6<\/p>\n<p>\u6a21\u578b\u9ed8\u8ba4\u4e0d\u77e5\u9053\u516c\u53f8\u5185\u90e8\u6570\u636e\u3001\u79c1\u6709\u6587\u6863\u3001\u4e1a\u52a1\u89c4\u5219\u3002RAG \u53ef\u4ee5\u63a5\u5165\u4f01\u4e1a\u77e5\u8bc6\u5e93\u3001\u672c\u5730\u6587\u4ef6&#xff0c;\u5b9e\u73b0&#034;\u4f01\u4e1a\u4e13\u5c5e AI&#034;\u3002<\/p>\n<p>\u573a\u666f&#xff1a;\u5ba2\u670d AI<br \/>\n\u4f20\u7edf LLM&#xff1a;\u4e0d\u77e5\u9053\u4f60\u4eec\u516c\u53f8\u7684\u9000\u8d27\u653f\u7b56<br \/>\nRAG \u589e\u5f3a\u7684 LLM&#xff1a;\u68c0\u7d22\u516c\u53f8\u5185\u90e8\u7684\u9000\u8d27\u653f\u7b56\u6587\u6863&#xff0c;\u57fa\u4e8e\u6587\u6863\u5185\u5bb9\u56de\u7b54<\/p>\n<p>\u95ee\u9898\u56db&#xff1a;\u4e0a\u4e0b\u6587\u7a97\u53e3\u9650\u5236<\/p>\n<p>\u6a21\u578b\u4e0d\u80fd\u4e00\u6b21\u8bfb\u592a\u591a\u5185\u5bb9\u3002RAG \u53ea\u68c0\u7d22&#034;\u76f8\u5173\u7247\u6bb5&#034;\u800c\u4e0d\u662f\u5168\u90e8\u6570\u636e&#xff0c;\u8282\u7701 Token\u3002<\/p>\n<p>\u573a\u666f&#xff1a;\u5206\u6790 1000 \u9875\u7684\u516c\u53f8\u624b\u518c<br \/>\n\u4f20\u7edf LLM&#xff1a;\u65e0\u6cd5\u4e00\u6b21\u6027\u653e\u5165\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;\u8d85\u8fc7 128K Token \u9650\u5236&#xff09;<br \/>\nRAG \u589e\u5f3a\u7684 LLM&#xff1a;\u68c0\u7d22\u4e0e\u7528\u6237\u95ee\u9898\u76f8\u5173\u7684 3-5 \u4e2a\u7247\u6bb5&#xff0c;\u53ea\u653e\u5165\u8fd9\u51e0\u4e2a\u7247\u6bb5<\/p>\n<p>\u95ee\u9898\u4e94&#xff1a;\u53ef\u89e3\u91ca\u6027<\/p>\n<p>\u4f20\u7edf\u6a21\u578b\u56de\u7b54\u662f&#034;\u9ed1\u76d2&#034;\u2014\u2014\u4f60\u4e0d\u77e5\u9053\u5b83\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u56de\u7b54\u3002RAG \u53ef\u4ee5\u8fd4\u56de&#034;\u5f15\u7528\u6765\u6e90&#034;&#xff0c;\u652f\u6301\u6eaf\u6e90\u3002<\/p>\n<p>RAG \u589e\u5f3a\u7684\u56de\u7b54&#xff1a;<br \/>\n&#034;\u6839\u636e\u300a2026 \u5e74\u516c\u53f8\u5458\u5de5\u624b\u518c\u300b\u7b2c 3 \u7ae0\u7b2c 2 \u8282&#xff0c;\u5e74\u5047\u7684\u8ba1\u7b97\u65b9\u5f0f\u4e3a&#8230;<br \/>\n&#xff08;\u6765\u6e90&#xff1a;\u5458\u5de5\u624b\u518c v2026.1, \u7b2c 15 \u9875&#xff09;&#034;<\/p>\n<h4>14.4 RAG \u7684\u5de5\u4f5c\u6d41\u7a0b<\/h4>\n<p>RAG \u7684\u5b8c\u6574\u5de5\u4f5c\u6d41\u7a0b\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5&#xff1a;\u79bb\u7ebf\u7d22\u5f15\u9636\u6bb5\u548c\u5728\u7ebf\u67e5\u8be2\u9636\u6bb5\u3002<\/p>\n<p>\u79bb\u7ebf\u7d22\u5f15\u9636\u6bb5&#xff08;\u51c6\u5907\u77e5\u8bc6\u5e93&#xff09;&#xff1a;<\/p>\n<li>\u6587\u6863\u52a0\u8f7d&#xff1a;\u4ece\u5404\u79cd\u6765\u6e90\u52a0\u8f7d\u6587\u6863\u2014\u2014PDF\u3001\u7f51\u9875\u3001\u6570\u636e\u5e93\u3001API \u8fd4\u56de\u6570\u636e<\/li>\n<li>\u6587\u6863\u5206\u5272&#xff1a;\u5c06\u957f\u6587\u6863\u5206\u5272\u6210\u9002\u5f53\u5927\u5c0f\u7684&#034;\u5757&#034;&#xff08;Chunk&#xff09;\u3002\u6bcf\u4e2a Chunk \u901a\u5e38\u4e3a 500-1000 \u4e2a Token<\/li>\n<li>\u5411\u91cf\u5316&#xff1a;\u4f7f\u7528\u5d4c\u5165\u6a21\u578b&#xff08;Embedding Model&#xff09;\u5c06\u6bcf\u4e2a Chunk \u8f6c\u6362\u4e3a\u5411\u91cf&#xff08;\u4e00\u4e32\u6570\u5b57&#xff09;\u3002\u8bed\u4e49\u76f8\u8fd1\u7684\u6587\u672c&#xff0c;\u5411\u91cf\u8ddd\u79bb\u4e5f\u76f8\u8fd1<\/li>\n<li>\u5b58\u50a8&#xff1a;\u5c06\u5411\u91cf\u5b58\u50a8\u5230\u5411\u91cf\u6570\u636e\u5e93&#xff08;Vector Database&#xff09;\u4e2d&#xff0c;\u5982 Pinecone\u3001Weaviate\u3001Milvus\u3001Chroma<\/li>\n<p>\u5728\u7ebf\u67e5\u8be2\u9636\u6bb5&#xff08;\u7528\u6237\u63d0\u95ee\u65f6&#xff09;&#xff1a;<\/p>\n<li>\u7528\u6237\u63d0\u95ee&#xff1a;\u7528\u6237\u63d0\u51fa\u4e00\u4e2a\u95ee\u9898<\/li>\n<li>\u67e5\u8be2\u5411\u91cf\u5316&#xff1a;\u5c06\u7528\u6237\u7684\u95ee\u9898\u4e5f\u8f6c\u6362\u4e3a\u5411\u91cf<\/li>\n<li>\u76f8\u4f3c\u5ea6\u68c0\u7d22&#xff1a;\u5728\u5411\u91cf\u6570\u636e\u5e93\u4e2d\u641c\u7d22\u4e0e\u95ee\u9898\u5411\u91cf\u6700\u76f8\u4f3c\u7684 Chunk&#xff08;\u901a\u5e38\u8fd4\u56de Top 3-5 \u4e2a&#xff09;<\/li>\n<li>\u6784\u5efa\u63d0\u793a\u8bcd&#xff1a;\u5c06\u68c0\u7d22\u5230\u7684 Chunk \u4f5c\u4e3a\u4e0a\u4e0b\u6587&#xff0c;\u4e0e\u7528\u6237\u7684\u95ee\u9898\u6574\u5408\u5230\u4e00\u4e2a Prompt \u4e2d<\/li>\n<li>LLM \u751f\u6210&#xff1a;\u5c06\u6574\u5408\u540e\u7684 Prompt \u53d1\u9001\u7ed9 LLM&#xff0c;LLM \u57fa\u4e8e\u63d0\u4f9b\u7684\u4e0a\u4e0b\u6587\u751f\u6210\u7b54\u6848<\/li>\n<li>\u8fd4\u56de\u7ed3\u679c&#xff1a;\u8fd4\u56de\u7b54\u6848&#xff08;\u53ef\u9009\u5730\u9644\u5e26\u5f15\u7528\u6765\u6e90&#xff09;<\/li>\n<p>RAG \u7684\u63d0\u793a\u8bcd\u6a21\u677f&#xff1a;<\/p>\n<p>\u4f60\u662f\u4e00\u4e2a\u4e13\u4e1a\u7684\u95ee\u7b54\u52a9\u624b\u3002\u8bf7\u57fa\u4e8e\u4ee5\u4e0b\u63d0\u4f9b\u7684\u53c2\u8003\u4fe1\u606f\u56de\u7b54\u7528\u6237\u7684\u95ee\u9898\u3002<br \/>\n\u5982\u679c\u53c2\u8003\u4fe1\u606f\u4e2d\u6ca1\u6709\u76f8\u5173\u5185\u5bb9&#xff0c;\u8bf7\u660e\u786e\u8bf4\u660e&#034;\u6839\u636e\u73b0\u6709\u8d44\u6599&#xff0c;\u6211\u65e0\u6cd5\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898&#034;\u3002<\/p>\n<p>\u3010\u53c2\u8003\u4fe1\u606f\u3011<br \/>\n{\u68c0\u7d22\u5230\u7684 Chunk 1}<br \/>\n{\u68c0\u7d22\u5230\u7684 Chunk 2}<br \/>\n{\u68c0\u7d22\u5230\u7684 Chunk 3}<\/p>\n<p>\u3010\u7528\u6237\u95ee\u9898\u3011<br \/>\n{\u7528\u6237\u7684\u95ee\u9898}<\/p>\n<p>\u3010\u56de\u7b54\u8981\u6c42\u3011<br \/>\n&#8211; \u57fa\u4e8e\u53c2\u8003\u4fe1\u606f\u56de\u7b54&#xff0c;\u4e0d\u8981\u7f16\u9020<br \/>\n&#8211; \u5982\u679c\u53c2\u8003\u4fe1\u606f\u4e2d\u6709\u5f15\u7528\u6765\u6e90&#xff0c;\u8bf7\u5728\u56de\u7b54\u4e2d\u6807\u6ce8<br \/>\n&#8211; \u5982\u679c\u53c2\u8003\u4fe1\u606f\u4e2d\u6ca1\u6709\u7b54\u6848&#xff0c;\u660e\u786e\u8bf4\u660e<\/p>\n<h4>14.5 RAG \u7684\u8fdb\u9636\u5f62\u6001<\/h4>\n<p>\u57fa\u7840\u7684 RAG \u5df2\u7ecf\u975e\u5e38\u5f3a\u5927&#xff0c;\u4f46 2025-2026 \u5e74\u51fa\u73b0\u4e86\u51e0\u79cd\u8fdb\u9636\u5f62\u6001&#xff1a;<\/p>\n<p>Graph RAG&#xff08;\u56fe\u8c31 RAG&#xff09;&#xff1a;\u4e0d\u53ea\u662f\u5728\u5411\u91cf\u6570\u636e\u5e93\u4e2d\u641c\u7d22\u76f8\u4f3c\u7247\u6bb5&#xff0c;\u800c\u662f\u6784\u5efa\u77e5\u8bc6\u56fe\u8c31\u2014\u2014\u5c06\u6587\u6863\u4e2d\u7684\u5b9e\u4f53&#xff08;\u4eba\u7269\u3001\u7ec4\u7ec7\u3001\u5730\u70b9\u3001\u6982\u5ff5&#xff09;\u548c\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u63d0\u53d6\u51fa\u6765&#xff0c;\u5f62\u6210\u56fe\u7ed3\u6784\u3002\u67e5\u8be2\u65f6&#xff0c;AI \u53ef\u4ee5\u5728\u77e5\u8bc6\u56fe\u8c31\u4e2d\u5bfc\u822a&#xff0c;\u627e\u5230\u95f4\u63a5\u5173\u8054\u7684\u4fe1\u606f\u3002\u8fd9\u5bf9\u4e8e\u9700\u8981\u7406\u89e3&#034;\u5173\u7cfb&#034;\u548c&#034;\u5c42\u6b21&#034;\u7684\u590d\u6742\u67e5\u8be2\u5c24\u5176\u6709\u6548\u3002<\/p>\n<p>Agentic RAG&#xff08;\u667a\u80fd\u4f53 RAG&#xff09;&#xff1a;\u5c06 RAG \u4e0e Agent \u673a\u5236\u7ed3\u5408\u3002Agent \u4e0d\u53ea\u662f&#034;\u68c0\u7d22\u4e00\u6b21 \u2192 \u751f\u6210\u7b54\u6848&#034;&#xff0c;\u800c\u662f\u53ef\u4ee5&#034;\u68c0\u7d22 \u2192 \u5206\u6790 \u2192 \u53d1\u73b0\u4fe1\u606f\u4e0d\u8db3 \u2192 \u518d\u6b21\u68c0\u7d22 \u2192 \u518d\u5206\u6790 \u2192 \u751f\u6210\u7b54\u6848&#034;\u3002\u8fd9\u79cd\u591a\u8f6e\u8fed\u4ee3\u7684\u68c0\u7d22\u65b9\u5f0f&#xff0c;\u7c7b\u4f3c\u4e8e\u4eba\u7c7b\u5728\u67e5\u8d44\u6599\u65f6&#034;\u770b\u4e86\u7b2c\u4e00\u7bc7\u6587\u7ae0 \u2192 \u53d1\u73b0\u8fd8\u6709\u7591\u95ee \u2192 \u7ee7\u7eed\u67e5\u7b2c\u4e8c\u7bc7\u6587\u7ae0&#034;\u7684\u8fc7\u7a0b\u3002<\/p>\n<p>\u591a\u6a21\u6001 RAG&#xff1a;\u4e0d\u53ea\u662f\u68c0\u7d22\u6587\u672c&#xff0c;\u8fd8\u80fd\u68c0\u7d22\u56fe\u7247\u3001\u8868\u683c\u3001\u89c6\u9891\u3002\u6bd4\u5982\u7528\u6237\u95ee&#034;\u8fd9\u4e2a\u4ea7\u54c1\u7684\u8bbe\u8ba1\u56fe\u5728\u54ea\u91cc&#034;&#xff0c;RAG \u53ef\u4ee5\u5728\u77e5\u8bc6\u5e93\u4e2d\u68c0\u7d22\u76f8\u5173\u7684\u56fe\u7247\u5e76\u8fd4\u56de\u7ed9\u7528\u6237\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e94\u3001Embedding \u4e0e\u5411\u91cf\u6570\u636e\u5e93&#xff1a;AI \u7406\u89e3\u8bed\u4e49\u7684&#034;\u6570\u5b57\u5bc6\u7801&#034;<\/h3>\n<h4>15.1 \u4ec0\u4e48\u662f Embedding&#xff08;\u5d4c\u5165&#xff09;<\/h4>\n<p>**Embedding&#xff08;\u5d4c\u5165&#xff09;**\u662f\u5c06\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u7b49\u975e\u7ed3\u6784\u5316\u6570\u636e\u8f6c\u6362\u4e3a\u56fa\u5b9a\u957f\u5ea6\u7684\u6570\u503c\u5411\u91cf&#xff08;\u4e00\u4e32\u6570\u5b57&#xff09;\u7684\u6280\u672f\u3002\u8fd9\u4e2a\u5411\u91cf&#034;\u7f16\u7801&#034;\u4e86\u539f\u59cb\u6570\u636e\u7684\u8bed\u4e49\u4fe1\u606f\u2014\u2014\u8bed\u4e49\u76f8\u8fd1\u7684\u5185\u5bb9&#xff0c;\u5411\u91cf\u5728\u6570\u5b66\u7a7a\u95f4\u4e2d\u7684\u8ddd\u79bb\u4e5f\u76f8\u8fd1 [20]\u3002<\/p>\n<p>\u4e3e\u4e2a\u4f8b\u5b50&#xff1a;<\/p>\n<ul>\n<li>&#034;\u732b&#034;\u7684 Embedding \u5411\u91cf\u53ef\u80fd\u662f&#xff1a;[0.23, -0.45, 0.78, 0.12, \u2026]&#xff08;\u5047\u8bbe 768 \u7ef4&#xff09;<\/li>\n<li>&#034;\u72d7&#034;\u7684 Embedding \u5411\u91cf\u53ef\u80fd\u662f&#xff1a;[0.21, -0.43, 0.75, 0.15, \u2026]&#xff08;\u548c&#034;\u732b&#034;\u5f88\u63a5\u8fd1&#xff01;&#xff09;<\/li>\n<li>&#034;\u7535\u8111&#034;\u7684 Embedding \u5411\u91cf\u53ef\u80fd\u662f&#xff1a;[-0.67, 0.89, -0.12, 0.34, \u2026]&#xff08;\u548c&#034;\u732b&#034;\u5b8c\u5168\u4e0d\u540c&#xff09;<\/li>\n<\/ul>\n<p>&#034;\u732b&#034;\u548c&#034;\u72d7&#034;\u7684\u5411\u91cf\u8ddd\u79bb\u5f88\u8fd1&#xff08;\u56e0\u4e3a\u5b83\u4eec\u90fd\u662f\u5ba0\u7269\u3001\u52a8\u7269\u3001\u56db\u6761\u817f&#xff09;&#xff0c;\u800c&#034;\u732b&#034;\u548c&#034;\u7535\u8111&#034;\u7684\u5411\u91cf\u8ddd\u79bb\u5f88\u8fdc\u3002\u8fd9\u5c31\u662f Embedding \u7684\u6838\u5fc3\u4ef7\u503c\u2014\u2014\u628a\u8bed\u4e49\u7684\u76f8\u4f3c\u6027\u8f6c\u5316\u4e3a\u6570\u5b66\u4e0a\u7684\u8ddd\u79bb\u3002<\/p>\n<h4>15.2 Embedding \u6a21\u578b\u7684\u5de5\u4f5c\u539f\u7406<\/h4>\n<p>Embedding \u6a21\u578b\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a&#034;\u538b\u7f29\u7f16\u7801\u5668&#034;\u2014\u2014\u8f93\u5165\u4e00\u6bb5\u6587\u672c&#xff0c;\u8f93\u51fa\u4e00\u4e2a\u56fa\u5b9a\u957f\u5ea6\u7684\u5411\u91cf\u3002\u8fd9\u4e2a\u5411\u91cf&#034;\u538b\u7f29&#034;\u4e86\u6587\u672c\u7684\u6838\u5fc3\u8bed\u4e49\u7279\u5f81\u3002<\/p>\n<p>\u8bad\u7ec3 Embedding \u6a21\u578b\u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u8ba9\u8bed\u4e49\u76f8\u8fd1\u7684\u6587\u672c\u4ea7\u751f\u76f8\u8fd1\u7684\u5411\u91cf&#xff0c;\u8bed\u4e49\u4e0d\u540c\u7684\u6587\u672c\u4ea7\u751f\u8ddd\u79bb\u8fdc\u7684\u5411\u91cf\u3002\u8fd9\u901a\u5e38\u901a\u8fc7\u5bf9\u6bd4\u5b66\u4e60&#xff08;Contrastive Learning&#xff09;\u6765\u5b9e\u73b0\u2014\u2014\u6a21\u578b\u5728\u8bad\u7ec3\u65f6\u770b\u5230&#034;\u6b63\u4f8b\u5bf9&#034;&#xff08;\u8bed\u4e49\u76f8\u8fd1\u7684\u6587\u672c\u5bf9&#xff0c;\u5982&#034;\u732b&#034;\u548c&#034;\u5c0f\u732b\u54aa&#034;&#xff09;\u548c&#034;\u8d1f\u4f8b\u5bf9&#034;&#xff08;\u8bed\u4e49\u4e0d\u540c\u7684\u6587\u672c\u5bf9&#xff0c;\u5982&#034;\u732b&#034;\u548c&#034;\u6c7d\u8f66&#034;&#xff09;&#xff0c;\u5b66\u4e60\u5c06\u6b63\u4f8b\u7684\u5411\u91cf\u62c9\u8fd1\u3001\u8d1f\u4f8b\u7684\u5411\u91cf\u63a8\u8fdc\u3002<\/p>\n<h4>15.3 \u4e3b\u6d41 Embedding \u6a21\u578b\u5bf9\u6bd4&#xff08;2026 \u5e74&#xff09;<\/h4>\n<p>\u4ee5\u4e0b\u662f\u5f53\u524d\u4e3b\u6d41\u7684 Embedding \u6a21\u578b [20]&#xff1a;<\/p>\n<table>\n<tr>\u6a21\u578b\u5f00\u53d1\u5546\u7ef4\u5ea6\u7a81\u51fa\u7279\u70b9\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>Gemini Embedding 2<\/td>\n<td>Google<\/td>\n<td>768 \/ 3072<\/td>\n<td>\u7efc\u5408\u6027\u80fd\u6700\u5f3a&#xff0c;\u591a\u8bed\u8a00\u652f\u6301\u4f18\u79c0<\/td>\n<td>\u901a\u7528 RAG\u3001\u591a\u8bed\u8a00\u641c\u7d22<\/td>\n<\/tr>\n<tr>\n<td>text-embedding-3-large<\/td>\n<td>OpenAI<\/td>\n<td>256-3072&#xff08;\u53ef\u8c03&#xff09;<\/td>\n<td>\u652f\u6301\u7ef4\u5ea6\u538b\u7f29&#xff0c;\u7075\u6d3b\u6027\u5f3a<\/td>\n<td>\u901a\u7528 RAG\u3001API \u96c6\u6210<\/td>\n<\/tr>\n<tr>\n<td>Qwen3-VL-2B<\/td>\n<td>\u963f\u91cc<\/td>\n<td>1536<\/td>\n<td>\u5f00\u6e90&#xff0c;\u591a\u6a21\u6001&#xff08;\u652f\u6301\u56fe\u6587\u6df7\u5408&#xff09;<\/td>\n<td>\u4e2d\u6587 RAG\u3001\u591a\u6a21\u6001\u68c0\u7d22<\/td>\n<\/tr>\n<tr>\n<td>BGE-M3<\/td>\n<td>BAAI&#xff08;\u667a\u6e90&#xff09;<\/td>\n<td>1024<\/td>\n<td>\u5f00\u6e90&#xff0c;\u652f\u6301\u591a\u8bed\u8a00\u548c\u7a20\u5bc6&#043;\u7a00\u758f\u6df7\u5408\u68c0\u7d22<\/td>\n<td>\u4e2d\u6587 RAG\u3001\u6df7\u5408\u68c0\u7d22<\/td>\n<\/tr>\n<tr>\n<td>Cohere Embed v4<\/td>\n<td>Cohere<\/td>\n<td>1024<\/td>\n<td>\u4e13\u4e3a RAG \u4f18\u5316&#xff0c;\u538b\u7f29\u7387\u9ad8<\/td>\n<td>\u4f01\u4e1a\u7ea7 RAG<\/td>\n<\/tr>\n<tr>\n<td>Jina Embeddings v3<\/td>\n<td>Jina AI<\/td>\n<td>1024<\/td>\n<td>\u652f\u6301 89 \u79cd\u8bed\u8a00&#xff0c;\u4efb\u52a1\u7279\u5b9a\u5d4c\u5165<\/td>\n<td>\u591a\u8bed\u8a00 RAG\u3001\u957f\u6587\u6863<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u9009\u62e9 Embedding \u6a21\u578b\u7684\u5173\u952e\u8003\u91cf&#xff1a;<\/p>\n<ul>\n<li>\u8bed\u8a00&#xff1a;\u4e2d\u6587\u573a\u666f\u4f18\u5148\u9009 BGE-M3\u3001Qwen3-VL&#xff1b;\u591a\u8bed\u8a00\u573a\u666f\u9009 Gemini Embedding 2\u3001Jina<\/li>\n<li>\u7ef4\u5ea6&#xff1a;\u7ef4\u5ea6\u8d8a\u9ad8&#xff0c;\u8868\u793a\u7684\u8bed\u4e49\u4fe1\u606f\u8d8a\u591a&#xff0c;\u4f46\u5b58\u50a8\u548c\u68c0\u7d22\u7684\u6210\u672c\u4e5f\u8d8a\u9ad8<\/li>\n<li>\u5f00\u6e90 vs \u95ed\u6e90&#xff1a;\u5f00\u6e90\u6a21\u578b\u53ef\u4ee5\u672c\u5730\u90e8\u7f72&#xff0c;\u6570\u636e\u4e0d\u51fa\u57df&#xff0c;\u9002\u5408\u5bf9\u9690\u79c1\u6709\u8981\u6c42\u7684\u573a\u666f<\/li>\n<li>\u591a\u6a21\u6001&#xff1a;\u5982\u679c\u77e5\u8bc6\u5e93\u4e2d\u6df7\u5408\u4e86\u6587\u672c\u548c\u56fe\u7247&#xff0c;\u9700\u8981\u9009\u652f\u6301\u591a\u6a21\u6001\u7684 Embedding \u6a21\u578b<\/li>\n<\/ul>\n<h4>15.4 \u5411\u91cf\u6570\u636e\u5e93&#xff1a;Embedding \u7684&#034;\u5b58\u50a8\u5f15\u64ce&#034;<\/h4>\n<p>\u5411\u91cf\u6570\u636e\u5e93\u662f\u4e13\u95e8\u4e3a\u5b58\u50a8\u548c\u68c0\u7d22\u9ad8\u7ef4\u5411\u91cf\u6570\u636e\u800c\u8bbe\u8ba1\u7684\u6570\u636e\u5e93\u3002\u4e0e\u4f20\u7edf\u6570\u636e\u5e93&#xff08;\u5982 MySQL\u3001PostgreSQL&#xff09;\u4e0d\u540c&#xff0c;\u5411\u91cf\u6570\u636e\u5e93\u7684\u6838\u5fc3\u64cd\u4f5c\u4e0d\u662f&#034;\u7cbe\u786e\u5339\u914d&#034;&#xff08;WHERE name &#061; \u2018\u5f20\u4e09\u2019&#xff09;&#xff0c;\u800c\u662f\u76f8\u4f3c\u5ea6\u641c\u7d22&#xff08;\u627e\u5230\u4e0e\u67e5\u8be2\u5411\u91cf\u6700\u76f8\u4f3c\u7684 Top-K \u4e2a\u5411\u91cf&#xff09;\u3002<\/p>\n<p>\u4e3a\u4ec0\u4e48\u9700\u8981\u4e13\u95e8\u7684\u5411\u91cf\u6570\u636e\u5e93&#xff1f;<\/p>\n<p>\u4f20\u7edf\u6570\u636e\u5e93\u7684\u7d22\u5f15\u7ed3\u6784&#xff08;\u5982 B-Tree&#xff09;\u662f\u4e3a\u7cbe\u786e\u5339\u914d\u548c\u8303\u56f4\u67e5\u8be2\u4f18\u5316\u7684&#xff0c;\u5728\u9ad8\u7ef4\u5411\u91cf\u641c\u7d22\u4e2d\u6548\u7387\u6781\u4f4e\u3002\u5411\u91cf\u6570\u636e\u5e93\u4f7f\u7528\u4e13\u95e8\u7684\u7d22\u5f15\u7b97\u6cd5&#xff08;\u5982 HNSW\u3001IVF\u3001PQ&#xff09;&#xff0c;\u80fd\u5728\u6beb\u79d2\u7ea7\u5b8c\u6210\u767e\u4e07\u751a\u81f3\u5341\u4ebf\u7ea7\u5411\u91cf\u7684\u76f8\u4f3c\u5ea6\u641c\u7d22\u3002<\/p>\n<p>\u4e3b\u6d41\u5411\u91cf\u6570\u636e\u5e93\u5bf9\u6bd4&#xff08;2026 \u5e74&#xff09; [20]&#xff1a;<\/p>\n<table>\n<tr>\u6570\u636e\u5e93\u7c7b\u578b\u7a81\u51fa\u7279\u70b9\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>Pinecone<\/td>\n<td>\u6258\u7ba1\u4e91\u670d\u52a1<\/td>\n<td>\u96f6\u8fd0\u7ef4&#xff0c;\u81ea\u52a8\u6269\u5c55&#xff0c;\u5f00\u53d1\u8005\u4f53\u9a8c\u6700\u597d<\/td>\n<td>\u5feb\u901f\u539f\u578b\u3001\u4e0d\u60f3\u7ba1\u8fd0\u7ef4\u7684\u56e2\u961f<\/td>\n<\/tr>\n<tr>\n<td>Weaviate<\/td>\n<td>\u5f00\u6e90<\/td>\n<td>\u529f\u80fd\u6700\u4e30\u5bcc&#xff0c;\u652f\u6301\u6df7\u5408\u641c\u7d22\u3001\u591a\u6a21\u6001<\/td>\n<td>\u590d\u6742\u641c\u7d22\u9700\u6c42\u3001\u81ea\u6258\u7ba1<\/td>\n<\/tr>\n<tr>\n<td>Milvus \/ Zilliz Cloud<\/td>\n<td>\u5f00\u6e90 &#043; \u4e91\u670d\u52a1<\/td>\n<td>\u5341\u4ebf\u7ea7\u5411\u91cf\u89c4\u6a21&#xff0c;\u4f01\u4e1a\u7ea7\u57fa\u7840\u8bbe\u65bd<\/td>\n<td>\u5927\u89c4\u6a21\u751f\u4ea7\u73af\u5883<\/td>\n<\/tr>\n<tr>\n<td>Qdrant<\/td>\n<td>\u5f00\u6e90<\/td>\n<td>Rust \u7f16\u5199&#xff0c;\u6027\u80fd\u4f18\u79c0&#xff0c;API \u8bbe\u8ba1\u7cbe\u826f<\/td>\n<td>\u9ad8\u6027\u80fd\u573a\u666f\u3001\u81ea\u6258\u7ba1<\/td>\n<\/tr>\n<tr>\n<td>Chroma<\/td>\n<td>\u5f00\u6e90<\/td>\n<td>\u8f7b\u91cf\u7ea7&#xff0c;Python \u539f\u751f&#xff0c;\u5f00\u53d1\u8005\u53cb\u597d<\/td>\n<td>\u672c\u5730\u5f00\u53d1\u3001\u539f\u578b\u9a8c\u8bc1<\/td>\n<\/tr>\n<tr>\n<td>Redis<\/td>\n<td>\u5f00\u6e90<\/td>\n<td>\u4e0d\u662f\u7eaf\u5411\u91cf\u6570\u636e\u5e93&#xff0c;\u4f46\u652f\u6301\u5411\u91cf\u641c\u7d22<\/td>\n<td>\u5df2\u6709 Redis \u7684\u56e2\u961f\u3001\u5b9e\u65f6\u5e94\u7528<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u9009\u578b\u5efa\u8bae&#xff1a;<\/p>\n<ul>\n<li>\u5feb\u901f\u4e0a\u624b&#xff1a;Chroma&#xff08;\u672c\u5730&#xff09;\u6216 Pinecone&#xff08;\u4e91\u7aef&#xff09;<\/li>\n<li>\u529f\u80fd\u4e30\u5bcc&#xff1a;Weaviate&#xff08;\u6df7\u5408\u641c\u7d22\u3001\u591a\u6a21\u6001&#xff09;<\/li>\n<li>\u5927\u89c4\u6a21\u751f\u4ea7&#xff1a;Milvus \/ Zilliz Cloud<\/li>\n<li>\u6027\u80fd\u4f18\u5148&#xff1a;Qdrant<\/li>\n<li>\u5df2\u6709 Redis \u57fa\u7840\u8bbe\u65bd&#xff1a;Redis \u5411\u91cf\u641c\u7d22<\/li>\n<\/ul>\n<hr \/>\n<h3>\u5341\u516d\u3001\u6a21\u578b\u8bad\u7ec3\u4e0e\u5fae\u8c03&#xff1a;\u4ece\u9884\u8bad\u7ec3\u5230\u5bf9\u9f50\u7684\u5b8c\u6574\u6280\u672f\u6808<\/h3>\n<h4>16.1 \u5927\u6a21\u578b\u662f\u600e\u4e48&#034;\u70bc&#034;\u51fa\u6765\u7684<\/h4>\n<p>\u4e00\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u8bde\u751f&#xff0c;\u901a\u5e38\u7ecf\u8fc7\u4e09\u4e2a\u9636\u6bb5&#xff1a;<\/p>\n<p>\u9636\u6bb5\u4e00&#xff1a;\u9884\u8bad\u7ec3&#xff08;Pre-training&#xff09;\u2014\u2014 \u8ba9\u6a21\u578b\u5b66\u4f1a&#034;\u8bed\u8a00\u672c\u8eab&#034;<\/p>\n<p>\u9884\u8bad\u7ec3\u662f\u5927\u6a21\u578b\u7684\u57fa\u7840\u3002\u5728\u8fd9\u4e2a\u9636\u6bb5&#xff0c;\u6a21\u578b\u5728\u6d77\u91cf\u6587\u672c\u6570\u636e\u4e0a&#xff08;\u901a\u5e38\u662f\u6570\u4e07\u4ebf Token&#xff09;&#xff0c;\u5b66\u4e60\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd&#xff08;Next Token Prediction&#xff09;\u3002\u8fd9\u4e2a\u9636\u6bb5\u7684\u76ee\u6807\u662f\u8ba9\u6a21\u578b\u5b66\u4f1a\u8bed\u8a00\u7684\u6a21\u5f0f\u2014\u2014\u8bed\u6cd5\u3001\u8bcd\u6c47\u3001\u5e38\u8bc6\u3001\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<p>\u9884\u8bad\u7ec3\u7684\u6838\u5fc3\u7279\u70b9&#xff1a;<\/p>\n<ul>\n<li>\u6570\u636e\u91cf\u5de8\u5927&#xff1a;GPT-4 \u7684\u8bad\u7ec3\u6570\u636e\u4f30\u8ba1\u5728 10-20 \u4e07\u4ebf Token \u4e4b\u95f4&#xff0c;\u6db5\u76d6\u4e86\u4e92\u8054\u7f51\u4e0a\u51e0\u4e4e\u6240\u6709\u516c\u5f00\u53ef\u83b7\u53d6\u7684\u6587\u672c<\/li>\n<li>\u7b97\u529b\u6210\u672c\u6781\u9ad8&#xff1a;\u8bad\u7ec3 GPT-4 \u7ea7\u522b\u7684\u6a21\u578b&#xff0c;\u9700\u8981\u6570\u5343\u5f20 GPU \u8fd0\u884c\u6570\u5468\u751a\u81f3\u6570\u6708&#xff0c;\u6210\u672c\u4f30\u8ba1\u5728 5000 \u4e07\u5230 1 \u4ebf\u7f8e\u5143\u4e4b\u95f4<\/li>\n<li>\u65e0\u76d1\u7763\u5b66\u4e60&#xff1a;\u4e0d\u9700\u8981\u4eba\u5de5\u6807\u6ce8\u6570\u636e&#xff0c;\u53ea\u9700\u8981&#034;\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd&#034;\u8fd9\u4e2a\u7b80\u5355\u7684\u4efb\u52a1\u2014\u2014\u56e0\u4e3a\u6bcf\u4e2a\u8bcd\u90fd\u53ef\u4ee5\u4f5c\u4e3a\u4e0b\u4e00\u4e2a\u8bcd\u9884\u6d4b\u7684\u76ee\u6807<\/li>\n<\/ul>\n<p>\u9884\u8bad\u7ec3\u5b8c\u6210\u540e&#xff0c;\u6a21\u578b\u53eb\u505a Base Model&#xff08;\u57fa\u5ea7\u6a21\u578b&#xff09;\u3002\u57fa\u5ea7\u6a21\u578b\u5df2\u7ecf\u5b66\u4f1a\u4e86\u8bed\u8a00&#xff0c;\u4f46\u6709\u4e00\u4e2a\u95ee\u9898&#xff1a;\u5b83\u53ea\u4f1a&#034;\u7eed\u5199&#034;&#xff0c;\u4e0d\u4f1a&#034;\u5bf9\u8bdd&#034;\u3002\u4f60\u95ee\u5b83&#034;\u6cd5\u56fd\u7684\u9996\u90fd\u662f\u54ea\u91cc&#xff1f;\u201c&#xff0c;\u5b83\u53ef\u80fd\u56de\u7b54&#034;\u6cd5\u56fd\u7684\u9996\u90fd\u662f\u54ea\u91cc&#xff1f;\u8fd9\u662f\u4e00\u4e2a\u5173\u4e8e\u5730\u7406\u7684\u95ee\u9898\u2026\u2026\u201d\u2014\u2014\u5b83\u4e0d\u77e5\u9053\u8fd9\u662f\u4e00\u4e2a\u95ee\u9898&#xff0c;\u9700\u8981\u7ed9\u51fa\u7b54\u6848&#xff0c;\u800c\u4e0d\u662f\u7eed\u5199\u3002<\/p>\n<p>\u9636\u6bb5\u4e8c&#xff1a;\u76d1\u7763\u5fae\u8c03&#xff08;Supervised Fine-Tuning&#xff0c;SFT&#xff09;\u2014\u2014 \u8ba9\u6a21\u578b\u5b66\u4f1a&#034;\u5bf9\u8bdd&#034;<\/p>\n<p>SFT \u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u4eba\u5de5\u6807\u6ce8\u6570\u636e&#xff08;\u901a\u5e38\u662f\u51e0\u4e07\u5230\u51e0\u5341\u4e07\u6761&#xff09;&#xff0c;\u8ba9\u6a21\u578b\u4ece&#034;\u7eed\u5199\u6a21\u5f0f&#034;\u5207\u6362\u5230&#034;\u5bf9\u8bdd\u6a21\u5f0f&#034;\u3002\u6807\u6ce8\u6570\u636e\u901a\u5e38\u5305\u542b&#xff1a;<\/p>\n<ul>\n<li>\u7528\u6237\u95ee\u9898\u548c\u7406\u60f3\u56de\u7b54\u7684\u914d\u5bf9<\/li>\n<li>\u591a\u6837\u5316\u4efb\u52a1&#xff1a;\u95ee\u7b54\u3001\u7ffb\u8bd1\u3001\u6458\u8981\u3001\u4ee3\u7801\u751f\u6210\u3001\u521b\u610f\u5199\u4f5c\u7b49<\/li>\n<li>\u9ad8\u8d28\u91cf\u3001\u591a\u6837\u6027\u3001\u5b89\u5168\u6027\u5e76\u91cd<\/li>\n<\/ul>\n<p>\u7ecf\u8fc7 SFT \u540e&#xff0c;\u6a21\u578b\u5b66\u4f1a\u4e86&#034;\u7406\u89e3\u6307\u4ee4&#034;\u548c&#034;\u6309\u6307\u4ee4\u56de\u5e94&#034;\u3002\u4f46 SFT \u6709\u4e00\u4e2a\u5c40\u9650&#xff1a;\u5b83\u53ea\u80fd\u6a21\u4eff\u8bad\u7ec3\u6570\u636e\u4e2d\u7684\u56de\u7b54\u98ce\u683c&#xff0c;\u65e0\u6cd5\u5224\u65ad&#034;\u4ec0\u4e48\u6837\u7684\u56de\u7b54\u66f4\u597d&#034;\u3002<\/p>\n<p>\u9636\u6bb5\u4e09&#xff1a;\u504f\u597d\u5bf9\u9f50&#xff08;Preference Alignment&#xff09;\u2014\u2014 \u8ba9\u6a21\u578b\u5b66\u4f1a&#034;\u4ec0\u4e48\u6837\u7684\u56de\u7b54\u66f4\u597d&#034;<\/p>\n<p>\u8fd9\u662f\u8ba9\u6a21\u578b\u4ece&#034;\u80fd\u56de\u7b54\u95ee\u9898&#034;\u5230&#034;\u56de\u7b54\u5f97\u597d&#034;\u7684\u5173\u952e\u4e00\u6b65\u3002\u4e3b\u8981\u6709\u4e24\u79cd\u6280\u672f\u8def\u7ebf [21][22]&#xff1a;<\/p>\n<h4>16.2 RLHF&#xff08;\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60&#xff09;<\/h4>\n<p>RLHF&#xff08;Reinforcement Learning from Human Feedback&#xff09;\u662f 2022 \u5e74\u7531 OpenAI \u5728 InstructGPT \u8bba\u6587\u4e2d\u63d0\u51fa\u7684\u65b9\u6cd5&#xff0c;\u81f3\u4eca\u4ecd\u662f\u4e3b\u6d41\u7684\u5bf9\u9f50\u6280\u672f\u4e4b\u4e00\u3002<\/p>\n<p>RLHF \u7684\u5de5\u4f5c\u6d41\u7a0b\u5206\u4e3a\u4e09\u6b65&#xff1a;<\/p>\n<li>\n<p>\u6536\u96c6\u504f\u597d\u6570\u636e&#xff1a;\u7ed9\u6a21\u578b\u540c\u4e00\u4e2a Prompt&#xff0c;\u751f\u6210\u591a\u4e2a\u4e0d\u540c\u7684\u56de\u7b54&#xff0c;\u8ba9\u4eba\u7c7b\u6807\u6ce8\u8005\u9009\u62e9&#034;\u54ea\u4e2a\u66f4\u597d&#034;\u3002\u6bd4\u5982\u5bf9\u4e8e&#034;\u5982\u4f55\u5b66\u7f16\u7a0b&#034;&#xff0c;\u56de\u7b54 A \u662f&#034;\u5f88\u7b80\u5355\u7684&#xff0c;\u8ddf\u7740\u6559\u7a0b\u5c31\u884c&#034;&#xff0c;\u56de\u7b54 B \u662f&#034;\u5efa\u8bae\u4ece Python \u5f00\u59cb&#xff0c;\u56e0\u4e3a\u8bed\u6cd5\u7b80\u5355&#xff0c;\u793e\u533a\u6d3b\u8dc3\u3002\u63a8\u8350\u8d44\u6e90&#xff1a;Python \u5b98\u65b9\u6559\u7a0b\u3001CS50 \u8bfe\u7a0b\u2026\u2026&#034;\u2014\u2014\u6807\u6ce8\u8005\u4f1a\u9009 B&#xff08;\u66f4\u8be6\u7ec6\u3001\u66f4\u6709\u5e2e\u52a9&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u8bad\u7ec3\u5956\u52b1\u6a21\u578b&#xff08;Reward Model&#xff09;&#xff1a;\u7528\u6536\u96c6\u5230\u7684\u504f\u597d\u6570\u636e\u8bad\u7ec3\u4e00\u4e2a&#034;\u5956\u52b1\u6a21\u578b&#034;&#xff0c;\u5b83\u80fd\u9884\u6d4b\u4eba\u7c7b\u4f1a\u559c\u6b22\u54ea\u4e2a\u56de\u7b54\u3002\u5956\u52b1\u6a21\u578b\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u5206\u7c7b\u5668\u2014\u2014\u8f93\u5165\u4e00\u4e2a Prompt &#043; \u56de\u7b54&#xff0c;\u8f93\u51fa\u4e00\u4e2a&#034;\u5956\u52b1\u5206\u6570&#034;&#xff08;\u8fd9\u4e2a\u56de\u7b54\u6709\u591a\u597d&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u7528\u5f3a\u5316\u5b66\u4e60\u4f18\u5316&#xff1a;\u4f7f\u7528 PPO&#xff08;Proximal Policy Optimization&#xff09;\u7b97\u6cd5&#xff0c;\u8ba9\u6a21\u578b\u751f\u6210\u56de\u7b54&#xff0c;\u5956\u52b1\u6a21\u578b\u6253\u5206&#xff0c;\u7136\u540e\u6839\u636e\u5206\u6570\u8c03\u6574\u6a21\u578b\u53c2\u6570&#xff0c;\u8ba9\u6a21\u578b\u503e\u5411\u4e8e\u751f\u6210\u9ad8\u5206\u56de\u7b54<\/p>\n<\/li>\n<p>RLHF \u7684\u4f18\u7f3a\u70b9&#xff1a;<\/p>\n<ul>\n<li>\u4f18\u70b9&#xff1a;\u6548\u679c\u597d&#xff0c;\u80fd\u663e\u8457\u63d0\u5347\u6a21\u578b\u7684\u6709\u7528\u6027\u3001\u8bda\u5b9e\u6027\u548c\u65e0\u5bb3\u6027<\/li>\n<li>\u7f3a\u70b9&#xff1a;\u9700\u8981\u8bad\u7ec3\u548c\u7ef4\u62a4\u4e00\u4e2a\u989d\u5916\u7684\u5956\u52b1\u6a21\u578b&#xff0c;\u8bad\u7ec3\u8fc7\u7a0b\u4e0d\u7a33\u5b9a&#xff0c;\u9700\u8981\u5927\u91cf\u4eba\u5de5\u6807\u6ce8<\/li>\n<\/ul>\n<h4>16.3 DPO&#xff08;\u76f4\u63a5\u504f\u597d\u4f18\u5316&#xff09;<\/h4>\n<p>DPO&#xff08;Direct Preference Optimization&#xff09;\u662f 2023 \u5e74\u5e95\u7531 Stanford \u63d0\u51fa\u7684\u65b9\u6cd5&#xff0c;\u5b83\u7b80\u5316\u4e86 RLHF \u7684\u6d41\u7a0b\u3002DPO \u4e0d\u9700\u8981\u8bad\u7ec3\u5355\u72ec\u7684\u5956\u52b1\u6a21\u578b&#xff0c;\u4e5f\u4e0d\u9700\u8981\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60\u2014\u2014\u5b83\u76f4\u63a5\u4ece\u504f\u597d\u6570\u636e\u4e2d\u4f18\u5316\u6a21\u578b\u3002<\/p>\n<p>DPO \u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u5c06\u504f\u597d\u6570\u636e\u76f4\u63a5\u8f6c\u5316\u4e3a\u4e00\u4e2a\u635f\u5931\u51fd\u6570&#xff0c;\u8ba9\u6a21\u578b&#034;\u66f4\u559c\u6b22&#034;\u88ab\u4eba\u7c7b\u9009\u4e2d\u7684\u56de\u7b54&#xff0c;&#034;\u66f4\u4e0d\u559c\u6b22&#034;\u88ab\u4eba\u7c7b\u62d2\u7edd\u7684\u56de\u7b54\u3002\u5b83\u628a RLHF \u7684&#034;\u4e09\u6b65\u8d70&#034;&#xff08;\u91c7\u96c6\u504f\u597d\u2192\u8bad\u7ec3\u5956\u52b1\u6a21\u578b\u2192\u5f3a\u5316\u5b66\u4e60&#xff09;\u7b80\u5316\u4e3a&#034;\u4e00\u6b65\u8d70&#034;&#xff08;\u76f4\u63a5\u4ece\u504f\u597d\u6570\u636e\u4f18\u5316&#xff09;\u3002<\/p>\n<p>DPO \u7684\u4f18\u7f3a\u70b9&#xff1a;<\/p>\n<ul>\n<li>\u4f18\u70b9&#xff1a;\u7b80\u5355\u3001\u7a33\u5b9a\u3001\u4e0d\u9700\u8981\u5956\u52b1\u6a21\u578b\u3001\u4e0d\u9700\u8981\u5f3a\u5316\u5b66\u4e60\u3001\u8bad\u7ec3\u6548\u7387\u9ad8<\/li>\n<li>\u7f3a\u70b9&#xff1a;\u5728\u590d\u6742\u4efb\u52a1\u4e0a\u7684\u6548\u679c\u53ef\u80fd\u4e0d\u5982\u7cbe\u5fc3\u8c03\u4f18\u7684 RLHF<\/li>\n<\/ul>\n<p>2026 \u5e74\u7684\u8d8b\u52bf&#xff1a;\u5230 2026 \u5e74&#xff0c;DPO \u5df2\u7ecf\u6210\u4e3a\u5927\u591a\u6570\u56e2\u961f\u7684\u9996\u9009\u65b9\u6848&#xff08;\u7b80\u5355\u3001\u7a33\u5b9a\u3001\u6548\u679c\u597d&#xff09;&#xff0c;\u800c RLHF \u4e3b\u8981\u7528\u4e8e\u9700\u8981\u6781\u81f4\u6027\u80fd\u7684\u573a\u666f\u3002\u540c\u65f6&#xff0c;\u51fa\u73b0\u4e86&#034;\u8fed\u4ee3 DPO&#034;\u548c&#034;\u5728\u7ebf DPO&#034;\u7b49\u6539\u8fdb\u7248\u672c&#xff0c;\u8fdb\u4e00\u6b65\u7f29\u5c0f\u4e86\u4e0e RLHF \u7684\u5dee\u8ddd [21]\u3002<\/p>\n<h4>16.4 RLAIF&#xff08;\u57fa\u4e8e AI \u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60&#xff09;<\/h4>\n<p>RLAIF&#xff08;Reinforcement Learning from AI Feedback&#xff09;\u662f RLHF \u7684\u53d8\u4f53&#xff0c;\u7528 AI \u66ff\u4ee3\u4eba\u7c7b\u6765\u5224\u65ad\u56de\u7b54\u7684\u597d\u574f\u3002\u8fd9\u89e3\u51b3\u4e86 RLHF \u7684\u4e00\u4e2a\u6838\u5fc3\u74f6\u9888&#xff1a;\u4eba\u7c7b\u6807\u6ce8\u7684\u6210\u672c\u9ad8\u3001\u901f\u5ea6\u6162\u3001\u4e00\u81f4\u6027\u5dee\u3002<\/p>\n<p>RLAIF \u7684\u5de5\u4f5c\u6d41\u7a0b\u4e0e RLHF \u7c7b\u4f3c&#xff0c;\u4f46\u504f\u597d\u5224\u65ad\u7531 AI&#xff08;\u901a\u5e38\u662f\u53e6\u4e00\u4e2a\u66f4\u5f3a\u5927\u7684\u6a21\u578b&#xff09;\u6765\u5b8c\u6210\u3002\u7814\u7a76\u8868\u660e&#xff0c;\u5728\u67d0\u4e9b\u4efb\u52a1\u4e0a&#xff0c;AI \u7684\u5224\u65ad\u4e0e\u4eba\u7c7b\u5224\u65ad\u9ad8\u5ea6\u4e00\u81f4&#xff0c;\u6709\u65f6\u751a\u81f3\u66f4\u4e00\u81f4&#xff08;\u56e0\u4e3a AI \u4e0d\u4f1a\u75b2\u52b3&#xff0c;\u4e0d\u4f1a\u56e0\u4e3a\u60c5\u7eea\u6ce2\u52a8\u800c\u4ea7\u751f\u4e0d\u4e00\u81f4\u7684\u5224\u65ad&#xff09;\u3002<\/p>\n<h4>16.5 \u5fae\u8c03\u65b9\u6cd5\u7684\u9009\u578b\u603b\u7ed3<\/h4>\n<table>\n<tr>\u65b9\u6cd5\u9700\u8981\u7684\u6570\u636e\u8bad\u7ec3\u6210\u672c\u7a33\u5b9a\u6027\u6548\u679c\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>SFT<\/td>\n<td>\u51e0\u5343\u5230\u51e0\u4e07\u6761\u9ad8\u8d28\u91cf\u95ee\u7b54\u5bf9<\/td>\n<td>\u4f4e\u5230\u4e2d<\/td>\n<td>\u9ad8<\/td>\n<td>\u597d<\/td>\n<td>\u8ba9\u6a21\u578b\u5b66\u4f1a\u7279\u5b9a\u9886\u57df\u7684\u5bf9\u8bdd\u98ce\u683c<\/td>\n<\/tr>\n<tr>\n<td>RLHF<\/td>\n<td>\u51e0\u4e07\u6761\u504f\u597d\u6570\u636e &#043; \u5956\u52b1\u6a21\u578b\u8bad\u7ec3<\/td>\n<td>\u9ad8<\/td>\n<td>\u4f4e<\/td>\n<td>\u6700\u597d<\/td>\n<td>\u8ffd\u6c42\u6781\u81f4\u6027\u80fd&#xff0c;\u6709\u5145\u8db3\u8d44\u6e90<\/td>\n<\/tr>\n<tr>\n<td>DPO<\/td>\n<td>\u51e0\u5343\u5230\u51e0\u4e07\u6761\u504f\u597d\u6570\u636e<\/td>\n<td>\u4e2d<\/td>\n<td>\u9ad8<\/td>\n<td>\u5f88\u597d<\/td>\n<td>\u5927\u591a\u6570\u751f\u4ea7\u573a\u666f\u7684\u9996\u9009<\/td>\n<\/tr>\n<tr>\n<td>RLAIF<\/td>\n<td>\u7528 AI \u5224\u65ad\u66ff\u4ee3\u4eba\u7c7b<\/td>\n<td>\u4e2d<\/td>\n<td>\u4e2d<\/td>\n<td>\u597d<\/td>\n<td>\u4eba\u7c7b\u6807\u6ce8\u6210\u672c\u592a\u9ad8\u7684\u573a\u666f<\/td>\n<\/tr>\n<tr>\n<td>LoRA&#xff08;\u4f4e\u79e9\u9002\u914d&#xff09;<\/td>\n<td>\u51e0\u767e\u5230\u51e0\u5343\u6761\u6570\u636e<\/td>\n<td>\u6781\u4f4e<\/td>\n<td>\u9ad8<\/td>\n<td>\u4e2d\u7b49<\/td>\n<td>\u5feb\u901f\u5fae\u8c03\u3001\u8d44\u6e90\u53d7\u9650\u7684\u573a\u666f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>LoRA&#xff08;Low-Rank Adaptation&#xff09; \u662f 2024-2026 \u5e74\u6700\u6d41\u884c\u7684\u8f7b\u91cf\u7ea7\u5fae\u8c03\u65b9\u6cd5\u3002\u5b83\u4e0d\u4fee\u6539\u539f\u59cb\u6a21\u578b\u7684\u6240\u6709\u53c2\u6570&#xff0c;\u800c\u662f\u6dfb\u52a0\u5c11\u91cf\u53ef\u8bad\u7ec3\u53c2\u6570&#xff08;\u901a\u5e38\u662f\u539f\u59cb\u53c2\u6570\u7684 0.1%-1%&#xff09;&#xff0c;\u5927\u5e45\u964d\u4f4e\u4e86\u5fae\u8c03\u7684\u8ba1\u7b97\u548c\u5b58\u50a8\u6210\u672c\u3002\u4e00\u4e2a 7B \u53c2\u6570\u7684\u6a21\u578b&#xff0c;\u7528 LoRA \u5fae\u8c03\u53ef\u80fd\u53ea\u9700\u8981\u4e00\u4e2a\u6d88\u8d39\u7ea7 GPU\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e03\u3001AI \u6a21\u578b\u8bc4\u6d4b\u4f53\u7cfb&#xff1a;\u5982\u4f55\u5224\u65ad\u4e00\u4e2a\u6a21\u578b&#034;\u597d\u4e0d\u597d&#034;<\/h3>\n<h4>17.1 \u4e3a\u4ec0\u4e48\u9700\u8981\u8bc4\u6d4b\u57fa\u51c6<\/h4>\n<p>\u5728 2026 \u5e74&#xff0c;\u5e02\u9762\u4e0a\u6709\u51e0\u5341\u4e2a\u5927\u8bed\u8a00\u6a21\u578b&#xff0c;\u6bcf\u4e2a\u90fd\u58f0\u79f0\u81ea\u5df1&#034;\u5728\u67d0\u65b9\u9762\u6700\u5f3a&#034;\u3002\u4f46\u666e\u901a\u7528\u6237\u600e\u4e48\u5224\u65ad\u54ea\u4e2a\u6a21\u578b\u771f\u6b63\u9002\u5408\u81ea\u5df1&#xff1f;\u8fd9\u5c31\u662f\u8bc4\u6d4b\u57fa\u51c6\u7684\u4ef7\u503c\u2014\u2014\u5b83\u4eec\u63d0\u4f9b\u4e86\u6807\u51c6\u5316\u7684\u6d4b\u8bd5\u6846\u67b6&#xff0c;\u8ba9\u4e0d\u540c\u6a21\u578b\u7684\u80fd\u529b\u53ef\u4ee5\u88ab\u5ba2\u89c2\u6bd4\u8f83\u3002<\/p>\n<p>\u4f46\u8bc4\u6d4b\u57fa\u51c6\u4e5f\u6709\u5c40\u9650\u6027&#xff1a;\u6a21\u578b\u53ef\u80fd&#034;\u5237\u699c&#034;&#xff08;\u9488\u5bf9\u8bc4\u6d4b\u96c6\u4f18\u5316&#xff0c;\u4f46\u4e0d\u4ee3\u8868\u771f\u5b9e\u80fd\u529b\u63d0\u5347&#xff09;\u3001\u8bc4\u6d4b\u96c6\u53ef\u80fd\u8fc7\u65f6\u6216\u6cc4\u9732\u3001\u5355\u4e00\u8bc4\u6d4b\u5206\u6570\u4e0d\u80fd\u53cd\u6620\u7efc\u5408\u80fd\u529b\u3002\u7406\u89e3\u8bc4\u6d4b\u57fa\u51c6\u7684&#034;\u80fd\u505a\u4ec0\u4e48&#034;\u548c&#034;\u4e0d\u80fd\u505a\u4ec0\u4e48&#034;&#xff0c;\u662f\u6bcf\u4e2a AI \u4ece\u4e1a\u8005\u5fc5\u5907\u7684\u7d20\u517b [23]\u3002<\/p>\n<h4>17.2 \u6838\u5fc3\u8bc4\u6d4b\u57fa\u51c6\u4e00\u89c8<\/h4>\n<p>\u77e5\u8bc6\u7c7b\u8bc4\u6d4b&#xff1a;<\/p>\n<table>\n<tr>\u57fa\u51c6\u8bc4\u6d4b\u5185\u5bb9\u9971\u548c\u72b6\u60012026 \u5e74\u9876\u5c16\u5206\u6570<\/tr>\n<tbody>\n<tr>\n<td>MMLU<\/td>\n<td>57 \u4e2a\u5b66\u79d1\u7684\u591a\u9009\u9898&#xff08;\u6570\u5b66\u3001\u5386\u53f2\u3001\u6cd5\u5f8b\u3001\u533b\u5b66\u7b49&#xff09;<\/td>\n<td>\u63a5\u8fd1\u9971\u548c&#xff08;Top \u6a21\u578b &gt;88%&#xff09;<\/td>\n<td>Gemini 3.1 Pro: 91.2%<\/td>\n<\/tr>\n<tr>\n<td>MMLU-Pro<\/td>\n<td>MMLU \u7684\u5347\u7ea7\u7248&#xff0c;\u66f4\u96be&#xff0c;\u9009\u9879\u4ece 4 \u4e2a\u589e\u52a0\u5230 10 \u4e2a<\/td>\n<td>\u672a\u9971\u548c<\/td>\n<td>Top \u6a21\u578b 85-92%<\/td>\n<\/tr>\n<tr>\n<td>GPQA Diamond<\/td>\n<td>\u7814\u7a76\u751f\u7ea7\u522b\u7684\u7269\u7406\u3001\u5316\u5b66\u3001\u751f\u7269\u95ee\u9898<\/td>\n<td>\u672a\u9971\u548c<\/td>\n<td>Claude Opus 4.6: 68.4%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u63a8\u7406\u7c7b\u8bc4\u6d4b&#xff1a;<\/p>\n<table>\n<tr>\u57fa\u51c6\u8bc4\u6d4b\u5185\u5bb92026 \u5e74\u9876\u5c16\u5206\u6570<\/tr>\n<tbody>\n<tr>\n<td>MATH<\/td>\n<td>\u7ade\u8d5b\u7ea7\u6570\u5b66\u95ee\u9898<\/td>\n<td>GPT-5 \u7cfb\u5217\u8868\u73b0\u6700\u7a81\u51fa<\/td>\n<\/tr>\n<tr>\n<td>ARC-AGI<\/td>\n<td>\u62bd\u8c61\u63a8\u7406\u548c\u6a21\u5f0f\u8bc6\u522b<\/td>\n<td>\u4eba\u7c7b\u6c34\u5e73\u7ea6 85%&#xff0c;AI \u4ecd\u4f4e\u4e8e\u4eba\u7c7b<\/td>\n<\/tr>\n<tr>\n<td>BIG-Bench Hard<\/td>\n<td>\u8d85\u51fa\u6a21\u578b\u8212\u9002\u533a\u7684\u56f0\u96be\u4efb\u52a1\u96c6\u5408<\/td>\n<td>\u5404\u6a21\u578b\u5dee\u8ddd\u8f83\u5927<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u7f16\u7a0b\u7c7b\u8bc4\u6d4b&#xff1a;<\/p>\n<table>\n<tr>\u57fa\u51c6\u8bc4\u6d4b\u5185\u5bb92026 \u5e74\u9876\u5c16\u5206\u6570<\/tr>\n<tbody>\n<tr>\n<td>HumanEval<\/td>\n<td>164 \u4e2a Python \u7f16\u7a0b\u95ee\u9898<\/td>\n<td>\u63a5\u8fd1\u9971\u548c&#xff08;Top \u6a21\u578b &gt;95%&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>HumanEval&#043;<\/td>\n<td>HumanEval \u7684\u589e\u5f3a\u7248&#xff0c;\u4fee\u6b63\u4e86\u4e0d\u5b8c\u6574\u7684\u6d4b\u8bd5\u7528\u4f8b<\/td>\n<td>\u672a\u9971\u548c<\/td>\n<\/tr>\n<tr>\n<td>SWE-bench<\/td>\n<td>\u771f\u5b9e GitHub Issue \u4fee\u590d<\/td>\n<td>DeepSeek V4: 81%&#xff0c;Claude Opus 4.6: ~78%<\/td>\n<\/tr>\n<tr>\n<td>Aider Polyglot<\/td>\n<td>\u591a\u8bed\u8a00\u7f16\u7a0b\u80fd\u529b<\/td>\n<td>Claude Opus 4.6: 82.1%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u7efc\u5408\u8bc4\u6d4b&#xff1a;<\/p>\n<table>\n<tr>\u57fa\u51c6\u8bc4\u6d4b\u65b9\u5f0f2026 \u5e74\u9876\u5c16\u5206\u6570<\/tr>\n<tbody>\n<tr>\n<td>Chatbot Arena (LMSYS)<\/td>\n<td>\u4eba\u7c7b\u76f2\u6d4b\u6295\u7968&#xff0c;\u8ba1\u7b97 Elo \u5206\u6570<\/td>\n<td>GPT-5.5\u3001Claude Opus 4.6 \u9886\u5148<\/td>\n<\/tr>\n<tr>\n<td>Arena Hard<\/td>\n<td>Chatbot Arena \u7684\u81ea\u52a8\u7248&#xff0c;\u7528 GPT-4 \u4f5c\u4e3a\u8bc4\u5224<\/td>\n<td>\u53cd\u6620\u6a21\u578b\u5728\u5b9e\u9645\u5bf9\u8bdd\u4e2d\u7684\u8868\u73b0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>17.3 \u5982\u4f55\u6b63\u786e\u770b\u5f85\u8bc4\u6d4b\u5206\u6570<\/h4>\n<p>\u4e0d\u8981\u53ea\u770b\u4e00\u4e2a\u5206\u6570\u3002\u4e00\u4e2a\u5728 MMLU \u4e0a\u5f97\u5206\u6700\u9ad8\u7684\u6a21\u578b&#xff0c;\u53ef\u80fd\u5728\u7f16\u7a0b\u4efb\u52a1\u4e0a\u8868\u73b0\u5e73\u5e73\u3002\u66f4\u4f55\u51b5&#xff0c;MMLU \u7b49\u57fa\u51c6\u5df2\u7ecf\u63a5\u8fd1\u9971\u548c\u2014\u2014Top 15 \u4e2a\u6a21\u578b\u5728 MMLU-Pro \u4e0a\u7684\u5206\u6570\u90fd\u8d85\u8fc7\u4e86 87%&#xff0c;2% \u7684\u5dee\u8ddd\u5728\u6d4b\u91cf\u8bef\u5dee\u8303\u56f4\u5185\u3002<\/p>\n<p>\u5173\u6ce8\u5bf9\u4f60\u91cd\u8981\u7684\u7ef4\u5ea6\u3002\u5982\u679c\u4f60\u4e3b\u8981\u7528\u6a21\u578b\u5199\u4ee3\u7801&#xff0c;\u770b SWE-bench \u548c HumanEval&#043; \u6bd4\u770b MMLU \u66f4\u6709\u610f\u4e49\u3002\u5982\u679c\u4f60\u7528\u6a21\u578b\u505a\u521b\u610f\u5199\u4f5c&#xff0c;Chatbot Arena \u7684 Elo \u5206\u6570\u53ef\u80fd\u6bd4\u4efb\u4f55\u57fa\u51c6\u90fd\u66f4\u6709\u53c2\u8003\u4ef7\u503c\u3002<\/p>\n<p>\u8b66\u60d5\u5237\u699c\u3002\u6709\u4e9b\u6a21\u578b\u5728\u8bc4\u6d4b\u96c6\u4e0a\u8868\u73b0\u4f18\u5f02&#xff0c;\u4f46\u5728\u771f\u5b9e\u573a\u666f\u4e2d\u8868\u73b0\u4e00\u822c\u2014\u2014\u56e0\u4e3a\u5b83\u4eec\u53ef\u80fd\u88ab&#034;\u9488\u5bf9\u8bad\u7ec3&#034;\u8fc7\u3002\u6700\u53ef\u9760\u7684\u8bc4\u6d4b\u662f\u4f60\u81ea\u5df1\u7684\u5b9e\u9645\u4f53\u9a8c\u2014\u2014\u7528\u4f60\u7684\u771f\u5b9e\u4efb\u52a1\u6d4b\u8bd5\u4e0d\u540c\u7684\u6a21\u578b&#xff0c;\u770b\u54ea\u4e2a\u771f\u6b63\u6ee1\u8db3\u4f60\u7684\u9700\u6c42\u3002<\/p>\n<hr \/>\n<h3>\u5341\u516b\u3001AI Agent \u67b6\u6784&#xff1a;\u4ece\u5355\u5175\u4f5c\u6218\u5230\u591a\u667a\u80fd\u4f53\u534f\u4f5c<\/h3>\n<h4>18.1 \u4ec0\u4e48\u662f AI Agent<\/h4>\n<p>AI Agent&#xff08;\u667a\u80fd\u4f53&#xff09;\u662f\u4e00\u4e2a\u80fd\u591f\u611f\u77e5\u73af\u5883\u3001\u81ea\u4e3b\u51b3\u7b56\u3001\u89c4\u5212\u884c\u52a8\u8def\u5f84\u3001\u8c03\u7528\u5de5\u5177\u4ee5\u8fbe\u6210\u76ee\u6807\u7684\u81ea\u4e3b\u7cfb\u7edf\u3002\u4e0e\u4f20\u7edf\u7684&#034;\u95ee\u7b54\u5f0f&#034; AI \u4e0d\u540c&#xff0c;Agent \u4e0d\u53ea\u662f&#034;\u56de\u7b54\u95ee\u9898&#034;&#xff0c;\u800c\u662f&#034;\u5b8c\u6210\u4efb\u52a1&#034; [24]\u3002<\/p>\n<p>Agent \u7684\u6838\u5fc3\u80fd\u529b&#xff1a;<\/p>\n<ul>\n<li>\u611f\u77e5&#xff08;Perception&#xff09;&#xff1a;\u7406\u89e3\u73af\u5883\u8f93\u5165\u2014\u2014\u7528\u6237\u6307\u4ee4\u3001\u4e0a\u4e0b\u6587\u3001\u5de5\u5177\u8fd4\u56de\u7ed3\u679c<\/li>\n<li>\u89c4\u5212&#xff08;Planning&#xff09;&#xff1a;\u5c06\u590d\u6742\u76ee\u6807\u62c6\u89e3\u4e3a\u53ef\u6267\u884c\u7684\u6b65\u9aa4\u5e8f\u5217<\/li>\n<li>\u884c\u52a8&#xff08;Action&#xff09;&#xff1a;\u8c03\u7528\u5de5\u5177&#xff08;\u641c\u7d22\u3001\u4ee3\u7801\u6267\u884c\u3001API \u8c03\u7528\u3001\u6d4f\u89c8\u5668\u64cd\u4f5c&#xff09;\u6765\u6267\u884c\u6b65\u9aa4<\/li>\n<li>\u53cd\u601d&#xff08;Reflection&#xff09;&#xff1a;\u8bc4\u4f30\u6267\u884c\u7ed3\u679c&#xff0c;\u53d1\u73b0\u9519\u8bef&#xff0c;\u8c03\u6574\u7b56\u7565<\/li>\n<\/ul>\n<h4>18.2 Agent \u7684\u6838\u5fc3\u67b6\u6784<\/h4>\n<p>\u4e00\u4e2a\u5178\u578b\u7684 AI Agent \u5305\u542b\u4ee5\u4e0b\u7ec4\u4ef6&#xff1a;<\/p>\n<p>\u5927\u8111&#xff08;LLM&#xff09;&#xff1a;Agent \u7684\u6838\u5fc3\u63a8\u7406\u5f15\u64ce\u3002\u5b83\u8d1f\u8d23\u7406\u89e3\u4efb\u52a1\u3001\u62c6\u89e3\u6b65\u9aa4\u3001\u51b3\u5b9a\u4f55\u65f6\u8c03\u7528\u4ec0\u4e48\u5de5\u5177\u3001\u5224\u65ad\u4efb\u52a1\u662f\u5426\u5b8c\u6210\u3002<\/p>\n<p>\u5de5\u5177&#xff08;Tools&#xff09;&#xff1a;Agent \u53ef\u4ee5\u8c03\u7528\u7684\u5916\u90e8\u80fd\u529b\u3002\u5e38\u89c1\u5de5\u5177\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\u641c\u7d22\u5f15\u64ce&#xff08;\u83b7\u53d6\u6700\u65b0\u4fe1\u606f&#xff09;<\/li>\n<li>\u4ee3\u7801\u6267\u884c\u5668&#xff08;\u8fd0\u884c Python\/JavaScript \u4ee3\u7801&#xff09;<\/li>\n<li>\u6d4f\u89c8\u5668&#xff08;\u8bbf\u95ee\u7f51\u9875\u3001\u586b\u5199\u8868\u5355\u3001\u70b9\u51fb\u6309\u94ae&#xff09;<\/li>\n<li>API \u8c03\u7528&#xff08;\u4e0e\u5916\u90e8\u7cfb\u7edf\u4ea4\u4e92&#xff09;<\/li>\n<li>\u6587\u4ef6\u7cfb\u7edf&#xff08;\u8bfb\u5199\u6587\u4ef6&#xff09;<\/li>\n<li>\u6570\u636e\u5e93&#xff08;\u67e5\u8be2\u548c\u64cd\u4f5c\u6570\u636e&#xff09;<\/li>\n<\/ul>\n<p>\u8bb0\u5fc6&#xff08;Memory&#xff09;&#xff1a;Agent \u7684\u72b6\u6001\u5b58\u50a8\u3002\u5206\u4e3a&#xff1a;<\/p>\n<ul>\n<li>\u77ed\u671f\u8bb0\u5fc6&#xff08;Short-term Memory&#xff09;&#xff1a;\u5f53\u524d\u4efb\u52a1\u4e2d\u7684\u4e0a\u4e0b\u6587\u548c\u5386\u53f2\u6b65\u9aa4<\/li>\n<li>\u957f\u671f\u8bb0\u5fc6&#xff08;Long-term Memory&#xff09;&#xff1a;\u8de8\u4efb\u52a1\u7684\u6301\u4e45\u5316\u77e5\u8bc6&#xff08;\u5982\u7528\u6237\u504f\u597d\u3001\u5386\u53f2\u7ecf\u9a8c&#xff09;<\/li>\n<\/ul>\n<p>\u89c4\u5212\u5668&#xff08;Planner&#xff09;&#xff1a;\u5c06\u7528\u6237\u7684\u5927\u76ee\u6807\u62c6\u89e3\u4e3a\u5177\u4f53\u7684\u3001\u53ef\u6267\u884c\u7684\u5c0f\u6b65\u9aa4\u3002\u6bd4\u5982&#034;\u5e2e\u6211\u505a\u4e00\u4e2a\u7535\u5546\u7f51\u7ad9&#034;\u2192 \u62c6\u89e3\u4e3a&#034;\u8bbe\u8ba1\u6570\u636e\u5e93 \u2192 \u642d\u5efa\u540e\u7aef API \u2192 \u6784\u5efa\u524d\u7aef\u9875\u9762 \u2192 \u90e8\u7f72\u4e0a\u7ebf&#034;\u3002<\/p>\n<p>\u53cd\u601d\u5668&#xff08;Reflector&#xff09;&#xff1a;\u8bc4\u4f30\u6bcf\u4e00\u6b65\u7684\u6267\u884c\u7ed3\u679c\u3002\u5982\u679c\u67d0\u4e00\u6b65\u5931\u8d25&#xff0c;\u53cd\u601d\u5668\u4f1a\u5206\u6790\u539f\u56e0\u5e76\u8c03\u6574\u7b56\u7565\u2014\u2014\u201c\u4e0a\u4e00\u6b65\u7684 API \u8c03\u7528\u8fd4\u56de\u4e86 403 \u9519\u8bef&#xff0c;\u53ef\u80fd\u662f\u56e0\u4e3a\u6ca1\u6709\u6743\u9650&#xff0c;\u6211\u9700\u8981\u5148\u68c0\u67e5 API Key \u7684\u914d\u7f6e\u201d\u3002<\/p>\n<h4>18.3 \u591a\u667a\u80fd\u4f53\u7cfb\u7edf&#xff08;Multi-Agent System&#xff09;<\/h4>\n<p>2025-2026 \u5e74&#xff0c;AI Agent \u7684\u53d1\u5c55\u65b9\u5411\u4ece&#034;\u5355\u5175\u4f5c\u6218&#034;\u8f6c\u5411\u4e86&#034;\u591a\u667a\u80fd\u4f53\u534f\u4f5c&#034;\u3002\u591a\u4e2a Agent \u5404\u81ea\u627f\u62c5\u4e0d\u540c\u7684\u89d2\u8272&#xff0c;\u534f\u540c\u5b8c\u6210\u590d\u6742\u4efb\u52a1 [24]\u3002<\/p>\n<p>\u5c42\u7ea7\u5316\u6307\u6325\u94fe&#xff08;Hierarchical Chain of Command&#xff09;&#xff1a;<\/p>\n<p>[\u89c4\u5212 Agent \u2014\u2014 \u6307\u6325\u5b98]<br \/>\n    \u251c\u2500\u2500 [\u6267\u884c Agent A \u2014\u2014 \u524d\u7aef\u5c0f\u7ec4]<br \/>\n    \u251c\u2500\u2500 [\u6267\u884c Agent B \u2014\u2014 \u540e\u7aef\u5c0f\u7ec4]<br \/>\n    \u251c\u2500\u2500 [\u6267\u884c Agent C \u2014\u2014 \u6d4b\u8bd5\u5c0f\u7ec4]<br \/>\n    \u2514\u2500\u2500 [\u76d1\u63a7 Agent \u2014\u2014 \u60c5\u62a5\u5b98]<\/p>\n<p>\u6307\u6325\u5b98 Agent \u63a5\u6536\u4efb\u52a1&#xff0c;\u62c6\u89e3\u4e3a\u5b50\u4efb\u52a1&#xff0c;\u5206\u914d\u7ed9\u5404\u4e2a\u6267\u884c Agent&#xff0c;\u5e76\u76d1\u63a7\u6574\u4f53\u8fdb\u5ea6\u3002\u6267\u884c Agent \u5404\u81ea\u5b8c\u6210\u81ea\u5df1\u7684\u5b50\u4efb\u52a1&#xff0c;\u5411\u6307\u6325\u5b98\u6c47\u62a5\u7ed3\u679c\u3002\u76d1\u63a7 Agent \u8d1f\u8d23\u68c0\u67e5\u8d28\u91cf\u548c\u53d1\u73b0\u6f5c\u5728\u95ee\u9898\u3002<\/p>\n<p>\u4e3b\u6d41\u591a\u667a\u80fd\u4f53\u6846\u67b6&#xff1a;<\/p>\n<table>\n<tr>\u6846\u67b6\u5f00\u53d1\u5546\u6838\u5fc3\u7279\u70b9\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>LangGraph<\/td>\n<td>LangChain<\/td>\n<td>\u4f4e\u5c42\u63a7\u5236&#xff0c;\u56fe\u7ed3\u6784\u5b9a\u4e49 Agent \u4ea4\u4e92\u6d41\u7a0b<\/td>\n<td>\u9700\u8981\u7cbe\u7ec6\u63a7\u5236 Agent \u534f\u4f5c\u903b\u8f91\u7684\u573a\u666f<\/td>\n<\/tr>\n<tr>\n<td>CrewAI<\/td>\n<td>CrewAI<\/td>\n<td>\u89d2\u8272\u9a71\u52a8&#xff0c;\u6613\u4e8e\u5b9a\u4e49 Agent \u7684\u89d2\u8272\u548c\u76ee\u6807<\/td>\n<td>\u5feb\u901f\u642d\u5efa\u591a Agent \u534f\u4f5c\u7cfb\u7edf<\/td>\n<\/tr>\n<tr>\n<td>AutoGen<\/td>\n<td>Microsoft<\/td>\n<td>\u5bf9\u8bdd\u5f0f\u591a Agent&#xff0c;\u652f\u6301\u4eba\u673a\u534f\u4f5c<\/td>\n<td>\u7814\u7a76\u3001\u590d\u6742\u63a8\u7406\u3001\u4ee3\u7801\u751f\u6210<\/td>\n<\/tr>\n<tr>\n<td>OpenAI Swarm<\/td>\n<td>OpenAI<\/td>\n<td>\u8f7b\u91cf\u7ea7&#xff0c;\u5b9e\u9a8c\u6027\u6846\u67b6<\/td>\n<td>\u5feb\u901f\u5b9e\u9a8c\u591a Agent \u6a21\u5f0f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4e24\u79cd\u7ec4\u7ec7\u6a21\u5f0f&#xff1a;<\/p>\n<ul>\n<li>\u987a\u5e8f\u6267\u884c&#xff08;Sequential&#xff09;&#xff1a;Agent A \u5b8c\u6210 \u2192 Agent B \u63a5\u624b \u2192 Agent C \u63a5\u624b\u3002\u9002\u5408\u6d41\u7a0b\u660e\u786e\u7684\u7ebf\u6027\u4efb\u52a1<\/li>\n<li>\u5c42\u7ea7\u6267\u884c&#xff08;Hierarchical&#xff09;&#xff1a;\u6307\u6325\u5b98 Agent \u6d3e\u53d1\u4efb\u52a1 \u2192 \u6267\u884c Agent \u5e76\u884c\u5de5\u4f5c \u2192 \u6307\u6325\u5b98\u6c47\u603b\u7ed3\u679c\u3002\u9002\u5408\u53ef\u4ee5\u5e76\u884c\u5904\u7406\u7684\u590d\u6742\u4efb\u52a1<\/li>\n<\/ul>\n<h4>18.4 Agent \u7684\u6311\u6218\u4e0e\u98ce\u9669<\/h4>\n<p>\u53ef\u9760\u6027\u95ee\u9898&#xff1a;Agent \u53ef\u80fd\u5728\u591a\u6b65\u63a8\u7406\u4e2d\u51fa\u9519&#xff0c;\u800c\u4e14\u9519\u8bef\u4f1a\u7d2f\u79ef\u2014\u2014\u201c\u7b2c\u4e00\u6b65\u9519\u4e86&#xff0c;\u7b2c\u4e8c\u6b65\u57fa\u4e8e\u9519\u8bef\u7684\u524d\u63d0\u7ee7\u7eed\u63a8\u7406&#xff0c;\u6700\u7ec8\u7ed3\u679c\u53ef\u80fd\u5b8c\u5168\u504f\u79bb\u201d\u3002<\/p>\n<p>\u5b89\u5168\u95ee\u9898&#xff1a;Agent \u62e5\u6709\u81ea\u4e3b\u6267\u884c\u80fd\u529b&#xff08;\u64cd\u4f5c\u6d4f\u89c8\u5668\u3001\u8fd0\u884c\u4ee3\u7801\u3001\u8c03\u7528 API&#xff09;&#xff0c;\u5982\u679c\u5931\u63a7\u53ef\u80fd\u9020\u6210\u5b9e\u9645\u635f\u5bb3\u3002\u6bd4\u5982 Agent \u53ef\u80fd\u8bef\u5220\u6587\u4ef6\u3001\u53d1\u9001\u9519\u8bef\u90ae\u4ef6\u3001\u6267\u884c\u5371\u9669\u547d\u4ee4\u3002<\/p>\n<p>\u6210\u672c\u95ee\u9898&#xff1a;Agent \u7684\u6bcf\u6b21\u63a8\u7406\u548c\u5de5\u5177\u8c03\u7528\u90fd\u9700\u8981\u6d88\u8017 Token&#xff0c;\u590d\u6742\u4efb\u52a1\u53ef\u80fd\u9700\u8981\u51e0\u5341\u751a\u81f3\u4e0a\u767e\u6b21 LLM \u8c03\u7528\u3002\u4e00\u4e2a Agent \u4efb\u52a1\u53ef\u80fd\u6d88\u8017 50 \u4e07 Token&#xff0c;\u6210\u672c\u8fdc\u8d85\u666e\u901a\u5bf9\u8bdd\u3002<\/p>\n<p>\u63a7\u5236\u95ee\u9898&#xff1a;\u5982\u4f55\u5728&#034;\u8ba9 Agent \u81ea\u4e3b\u6267\u884c&#034;\u548c&#034;\u4fdd\u6301\u4eba\u7c7b\u63a7\u5236&#034;\u4e4b\u95f4\u627e\u5230\u5e73\u8861&#xff0c;\u662f Agent \u8bbe\u8ba1\u7684\u6838\u5fc3\u6311\u6218\u3002\u76ee\u524d\u7684\u4e3b\u6d41\u505a\u6cd5\u662f&#034;\u5173\u952e\u6b65\u9aa4\u9700\u8981\u4eba\u7c7b\u786e\u8ba4&#034;\u2014\u2014Agent \u5728\u6267\u884c\u9ad8\u98ce\u9669\u64cd\u4f5c&#xff08;\u5982\u5220\u9664\u3001\u4ed8\u6b3e\u3001\u53d1\u9001&#xff09;\u524d&#xff0c;\u5fc5\u987b\u7b49\u5f85\u4eba\u7c7b\u6279\u51c6\u3002<\/p>\n<hr \/>\n<h3>\u5341\u4e5d\u3001AI \u5e7b\u89c9\u6df1\u5ea6\u89e3\u6790&#xff1a;\u4e3a\u4ec0\u4e48 AI \u4f1a&#034;\u4e00\u672c\u6b63\u7ecf\u5730\u80e1\u8bf4\u516b\u9053&#034;<\/h3>\n<h4>19.1 \u4ec0\u4e48\u662f AI \u5e7b\u89c9<\/h4>\n<p>**AI \u5e7b\u89c9&#xff08;Hallucination&#xff09;**\u662f\u6307\u5927\u8bed\u8a00\u6a21\u578b\u751f\u6210\u7684\u5185\u5bb9\u770b\u4f3c\u5408\u7406\u3001\u6d41\u7545\u3001\u81ea\u4fe1&#xff0c;\u4f46\u5b9e\u9645\u4e0a\u4e0e\u4e8b\u5b9e\u4e0d\u7b26\u3001\u51ed\u7a7a\u7f16\u9020\u7684\u73b0\u8c61 [25]\u3002<\/p>\n<p>\u5178\u578b\u7684\u5e7b\u89c9\u8868\u73b0&#xff1a;<\/p>\n<ul>\n<li>\u7f16\u9020\u4e0d\u5b58\u5728\u7684\u8bba\u6587\u3001\u4e66\u7c4d\u3001\u4eba\u7269\u3001\u4e8b\u4ef6<\/li>\n<li>\u7ed9\u51fa\u770b\u4f3c\u5408\u7406\u4f46\u5b9e\u9645\u4e0a\u662f\u9519\u8bef\u7684\u6570\u5b66\u8ba1\u7b97\u7ed3\u679c<\/li>\n<li>\u5bf9\u4e8b\u5b9e\u6027\u95ee\u9898\u7684\u56de\u7b54\u4e2d\u5305\u542b\u660e\u663e\u9519\u8bef\u7684\u4fe1\u606f<\/li>\n<li>\u751f\u6210\u5f15\u7528\u7684\u6cd5\u5f8b\u6761\u6587\u3001\u6280\u672f\u6587\u6863&#xff0c;\u4f46\u539f\u6587\u4e2d\u5e76\u4e0d\u5b58\u5728<\/li>\n<\/ul>\n<p>\u5173\u952e\u662f&#xff1a;\u5e7b\u89c9\u7684\u8f93\u51fa\u901a\u5e38\u975e\u5e38\u6d41\u7545\u3001\u81ea\u4fe1&#xff0c;\u5982\u679c\u4e0d\u4ed4\u7ec6\u6838\u5b9e&#xff0c;\u5f88\u5bb9\u6613\u88ab\u8bef\u5bfc\u3002\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u5e7b\u89c9\u662f AI \u5e94\u7528\u4e2d\u6700\u5371\u9669\u7684\u9677\u9631\u4e4b\u4e00\u3002<\/p>\n<h4>19.2 \u5e7b\u89c9\u7684\u6210\u56e0<\/h4>\n<p>\u6210\u56e0\u4e00&#xff1a;\u8bad\u7ec3\u6570\u636e\u7684\u5c40\u9650\u6027<\/p>\n<p>\u6a21\u578b\u7684\u8bad\u7ec3\u6570\u636e\u53ef\u80fd\u5305\u542b\u9519\u8bef\u4fe1\u606f\u3001\u8fc7\u65f6\u4fe1\u606f\u3001\u504f\u89c1\u4fe1\u606f\u3002\u6a21\u578b\u5b66\u5230\u7684\u4e0d\u662f&#034;\u771f\u7406&#034;&#xff0c;\u800c\u662f&#034;\u8bad\u7ec3\u6570\u636e\u4e2d\u7684\u6a21\u5f0f&#034;\u3002\u5982\u679c\u8bad\u7ec3\u6570\u636e\u4e2d\u5927\u90e8\u5206\u5173\u4e8e\u67d0\u4e2a\u8bdd\u9898\u7684\u4fe1\u606f\u90fd\u662f\u9519\u8bef\u7684&#xff0c;\u6a21\u578b\u4e5f\u4f1a\u8f93\u51fa\u9519\u8bef\u7684\u7b54\u6848\u3002<\/p>\n<p>\u6210\u56e0\u4e8c&#xff1a;\u6982\u7387\u672c\u8d28<\/p>\n<p>LLM \u672c\u8d28\u4e0a\u662f\u4e00\u4e2a&#034;\u6982\u7387\u9884\u6d4b\u5668&#034;\u2014\u2014\u5b83\u9884\u6d4b\u7684\u662f&#034;\u4e0b\u4e00\u4e2a\u8bcd\u6700\u53ef\u80fd\u662f\u4ec0\u4e48&#034;&#xff0c;\u800c\u4e0d\u662f&#034;\u4e0b\u4e00\u4e2a\u8bcd\u662f\u5426\u771f\u5b9e&#034;\u3002\u5f53\u6a21\u578b\u9047\u5230\u77e5\u8bc6\u76f2\u533a\u65f6&#xff0c;\u5b83\u4e0d\u4f1a\u8bf4&#034;\u6211\u4e0d\u77e5\u9053&#034;&#xff0c;\u800c\u662f\u4f1a\u9009\u62e9\u6982\u7387\u6700\u9ad8\u7684\u8bcd\u6765\u7eed\u5199\u2014\u2014\u5373\u4f7f\u8fd9\u4e2a\u8bcd\u53ef\u80fd\u5bfc\u81f4\u9519\u8bef\u7684\u4fe1\u606f\u3002<\/p>\n<p>\u6210\u56e0\u4e09&#xff1a;\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u9650\u5236<\/p>\n<p>\u5f53\u9700\u8981\u7684\u4fe1\u606f\u8d85\u51fa\u4e86\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u8303\u56f4&#xff0c;\u6a21\u578b\u53ea\u80fd\u57fa\u4e8e\u4e0d\u5b8c\u6574\u7684\u4fe1\u606f\u751f\u6210\u7b54\u6848\u3002\u5c31\u50cf\u4e00\u4e2a\u4eba\u53ea\u770b\u4e86\u4e66\u7684\u76ee\u5f55\u5c31\u5199\u4e66\u8bc4\u2014\u2014\u5185\u5bb9\u770b\u8d77\u6765\u53ef\u80fd\u5408\u7406&#xff0c;\u4f46\u7ec6\u8282\u662f\u7f16\u9020\u7684\u3002<\/p>\n<p>\u6210\u56e0\u56db&#xff1a;\u8fc7\u5ea6\u6cdb\u5316<\/p>\n<p>\u6a21\u578b\u5728\u8bad\u7ec3\u4e2d\u5b66\u4f1a\u4e86&#034;\u6a21\u5f0f&#034;&#xff0c;\u4f46\u6709\u65f6\u4f1a\u628a\u6a21\u5f0f\u5e94\u7528\u5230\u4e0d\u9002\u7528\u7684\u60c5\u51b5\u3002\u6bd4\u5982\u6a21\u578b\u77e5\u9053&#034;\u8bfa\u8d1d\u5c14\u5956\u5f97\u4e3b\u901a\u5e38\u6709\u5f88\u9ad8\u7684\u5b66\u672f\u6210\u5c31&#034;&#xff0c;\u53ef\u80fd\u4f1a\u628a\u67d0\u4e2a\u9886\u57df\u7684\u77e5\u540d\u5b66\u8005&#034;\u9519\u8bef\u5730&#034;\u5217\u4e3a\u8bfa\u8d1d\u5c14\u5956\u5f97\u4e3b\u3002<\/p>\n<h4>19.3 \u5e7b\u89c9\u7684\u7f13\u89e3\u7b56\u7565<\/h4>\n<p>\u7b56\u7565\u4e00&#xff1a;RAG&#xff08;\u68c0\u7d22\u589e\u5f3a\u751f\u6210&#xff09;<\/p>\n<p>\u8fd9\u662f\u76ee\u524d\u6700\u6709\u6548\u7684\u5e7b\u89c9\u7f13\u89e3\u65b9\u6cd5\u3002\u8ba9\u6a21\u578b\u4ece\u5916\u90e8\u77e5\u8bc6\u5e93\u4e2d\u68c0\u7d22\u76f8\u5173\u4fe1\u606f&#xff0c;\u518d\u57fa\u4e8e\u68c0\u7d22\u5230\u7684\u4fe1\u606f\u751f\u6210\u7b54\u6848\u3002\u76f8\u5f53\u4e8e&#034;\u5148\u67e5\u8d44\u6599\u518d\u56de\u7b54&#034;&#xff0c;\u800c\u4e0d\u662f&#034;\u51ed\u8bb0\u5fc6\u56de\u7b54&#034;\u3002<\/p>\n<p>\u7b56\u7565\u4e8c&#xff1a;\u7cbe\u786e\u63d0\u793a\u8bcd&#xff08;Precision Prompting&#xff09;<\/p>\n<p>\u5728 Prompt \u4e2d\u660e\u786e\u7ea6\u675f\u6a21\u578b\u7684\u884c\u4e3a&#xff1a;<\/p>\n<ul>\n<li>\u201c\u5982\u679c\u4f60\u4e0d\u786e\u5b9a&#xff0c;\u8bf7\u660e\u786e\u8bf4\u660e\u2019\u6211\u4e0d\u786e\u5b9a\u2019&#xff0c;\u4e0d\u8981\u731c\u6d4b\u201d<\/li>\n<li>\u201c\u8bf7\u57fa\u4e8e\u4ee5\u4e0b\u63d0\u4f9b\u7684\u53c2\u8003\u4fe1\u606f\u56de\u7b54&#xff0c;\u4e0d\u8981\u4f7f\u7528\u53c2\u8003\u4fe1\u606f\u4e4b\u5916\u7684\u5185\u5bb9\u201d<\/li>\n<li>\u201c\u5bf9\u4e8e\u4e8b\u5b9e\u6027\u9648\u8ff0&#xff0c;\u8bf7\u6807\u6ce8\u4fe1\u606f\u6765\u6e90\u201d<\/li>\n<\/ul>\n<p>\u7b56\u7565\u4e09&#xff1a;\u591a\u6b65\u9a8c\u8bc1&#xff08;Multi-Step Verification&#xff09;<\/p>\n<p>\u8ba9\u6a21\u578b\u751f\u6210\u7b54\u6848\u540e&#xff0c;\u518d\u8ba9\u6a21\u578b&#xff08;\u6216\u53e6\u4e00\u4e2a\u6a21\u578b&#xff09;\u68c0\u67e5\u7b54\u6848\u4e2d\u7684\u6bcf\u4e2a\u4e8b\u5b9e\u6027\u9648\u8ff0\u3002\u7c7b\u4f3c\u4eba\u7c7b\u5199\u6587\u7ae0\u540e\u7684&#034;\u6821\u5bf9&#034;\u8fc7\u7a0b\u2014\u2014\u7b2c\u4e00\u904d\u5199&#xff0c;\u7b2c\u4e8c\u904d\u68c0\u67e5\u3002<\/p>\n<p>\u7b56\u7565\u56db&#xff1a;Best-of-N \u91c7\u6837<\/p>\n<p>\u5bf9\u4e8e\u540c\u4e00\u4e2a\u95ee\u9898&#xff0c;\u8ba9\u6a21\u578b\u751f\u6210 N \u4e2a\u4e0d\u540c\u7684\u56de\u7b54&#xff0c;\u7136\u540e\u9009\u62e9\u6700\u4e00\u81f4\u3001\u6700\u5408\u7406\u7684\u90a3\u4e2a\u3002\u5982\u679c\u591a\u4e2a\u56de\u7b54\u4e2d\u51fa\u73b0\u4e86\u76f8\u540c\u7684\u4e8b\u5b9e\u9648\u8ff0&#xff0c;\u8fd9\u4e2a\u9648\u8ff0\u66f4\u53ef\u80fd\u662f\u6b63\u786e\u7684&#xff1b;\u5982\u679c\u53ea\u6709\u4e00\u4e2a\u56de\u7b54\u4e2d\u51fa\u73b0\u4e86\u67d0\u4e2a\u9648\u8ff0&#xff0c;\u5b83\u53ef\u80fd\u662f\u7f16\u9020\u7684\u3002<\/p>\n<p>\u7b56\u7565\u4e94&#xff1a;\u964d\u4f4e Temperature<\/p>\n<p>\u5bf9\u4e8e\u4e8b\u5b9e\u6027\u8981\u6c42\u9ad8\u7684\u573a\u666f&#xff0c;\u4f7f\u7528\u4f4e Temperature&#xff08;0-0.3&#xff09;\u53ef\u4ee5\u51cf\u5c11\u6a21\u578b\u7684&#034;\u521b\u9020\u6027&#034;\u548c&#034;\u968f\u673a\u6027&#034;&#xff0c;\u4ece\u800c\u964d\u4f4e\u5e7b\u89c9\u7684\u6982\u7387\u3002\u4f46\u4ee3\u4ef7\u662f\u8f93\u51fa\u53ef\u80fd\u66f4&#034;\u673a\u68b0&#034;\u3002<\/p>\n<p>\u7b56\u7565\u516d&#xff1a;\u5916\u90e8\u77e5\u8bc6\u9a8c\u8bc1<\/p>\n<p>\u8ba9\u6a21\u578b\u5728\u751f\u6210\u7b54\u6848\u540e&#xff0c;\u81ea\u52a8\u8c03\u7528\u641c\u7d22\u5f15\u64ce\u6216\u77e5\u8bc6\u56fe\u8c31\u6765\u9a8c\u8bc1\u5173\u952e\u4e8b\u5b9e\u3002\u5982\u679c\u53d1\u73b0\u4e0d\u4e00\u81f4&#xff0c;\u6807\u8bb0\u6216\u4fee\u6b63\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u5341\u3001AI \u5b89\u5168\u3001\u5bf9\u9f50\u4e0e\u4f26\u7406&#xff1a;\u8ba9 AI \u5411\u5584\u7684\u5173\u952e\u8bae\u9898<\/h3>\n<h4>20.1 \u4e3a\u4ec0\u4e48 AI \u5b89\u5168\u5982\u6b64\u91cd\u8981<\/h4>\n<p>\u968f\u7740 AI \u80fd\u529b\u7684\u5feb\u901f\u589e\u957f&#xff0c;\u4e00\u4e2a\u5173\u952e\u95ee\u9898\u65e5\u76ca\u7a81\u51fa&#xff1a;\u5982\u4f55\u786e\u4fdd\u8d8a\u6765\u8d8a\u5f3a\u5927\u7684 AI \u7cfb\u7edf&#xff0c;\u59cb\u7ec8\u6309\u7167\u4eba\u7c7b\u7684\u4ef7\u503c\u89c2\u548c\u5229\u76ca\u884c\u4e8b&#xff1f; [26]<\/p>\n<p>\u8fd9\u4e0d\u662f\u4e00\u4e2a\u9065\u8fdc\u7684\u672a\u6765\u95ee\u9898\u2014\u2014\u5df2\u7ecf\u6709\u5f88\u591a\u771f\u5b9e\u6848\u4f8b&#xff1a;<\/p>\n<ul>\n<li>AI \u751f\u6210\u7684\u6df1\u5ea6\u4f2a\u9020&#xff08;Deepfake&#xff09;\u88ab\u7528\u4e8e\u8bc8\u9a97\u548c\u865a\u5047\u4fe1\u606f\u4f20\u64ad<\/li>\n<li>\u6a21\u578b\u5728\u56de\u7b54\u4e2d\u65e0\u610f\u6cc4\u9732\u8bad\u7ec3\u6570\u636e\u4e2d\u7684\u9690\u79c1\u4fe1\u606f<\/li>\n<li>\u6a21\u578b\u7684\u504f\u89c1\u5bfc\u81f4\u5bf9\u7279\u5b9a\u7fa4\u4f53\u7684\u4e0d\u516c\u5e73\u5bf9\u5f85&#xff08;\u5982\u62db\u8058\u4e2d\u7684\u6027\u522b\u504f\u89c1\u3001\u8d37\u6b3e\u5ba1\u6279\u4e2d\u7684\u79cd\u65cf\u504f\u89c1&#xff09;<\/li>\n<li>AI \u88ab\u7528\u4e8e\u751f\u6210\u6076\u610f\u4ee3\u7801\u3001\u9493\u9c7c\u90ae\u4ef6\u3001\u865a\u5047\u8bc4\u8bba<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260828091733-6a91522d31772.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h4>20.2 AI \u5bf9\u9f50&#xff08;AI Alignment&#xff09;<\/h4>\n<p>AI \u5bf9\u9f50\u7684\u76ee\u6807\u662f&#xff1a;\u786e\u4fdd AI \u7cfb\u7edf\u7684\u884c\u4e3a\u4e0e\u4eba\u7c7b\u7684\u4ef7\u503c\u89c2\u3001\u610f\u56fe\u548c\u671f\u671b\u4fdd\u6301\u4e00\u81f4\u3002<\/p>\n<p>\u5bf9\u9f50\u7684\u4e09\u4e2a\u5c42\u6b21&#xff1a;<\/p>\n<ul>\n<li>\u6307\u4ee4\u5bf9\u9f50&#xff1a;AI \u80fd\u51c6\u786e\u7406\u89e3\u5e76\u6267\u884c\u7528\u6237\u7684\u6307\u4ee4&#xff08;&#034;\u5e2e\u6211\u7ffb\u8bd1\u8fd9\u6bb5\u6587\u5b57&#034;\u2192 \u786e\u5b9e\u7ffb\u8bd1\u4e86&#xff09;<\/li>\n<li>\u610f\u56fe\u5bf9\u9f50&#xff1a;AI \u80fd\u7406\u89e3\u7528\u6237\u6307\u4ee4\u80cc\u540e\u7684\u771f\u5b9e\u610f\u56fe&#xff08;\u7528\u6237\u8bf4&#034;\u6211\u597d\u65e0\u804a&#034;&#xff0c;AI \u5e94\u8be5\u63d0\u4f9b\u6709\u8da3\u7684\u5185\u5bb9&#xff0c;\u800c\u4e0d\u662f\u8bf4&#034;\u65e0\u804a\u662f\u4e00\u79cd\u60c5\u7eea\u72b6\u6001&#034;&#xff09;<\/li>\n<li>\u4ef7\u503c\u89c2\u5bf9\u9f50&#xff1a;AI \u7684\u884c\u4e3a\u7b26\u5408\u4eba\u7c7b\u7684\u9053\u5fb7\u548c\u4f26\u7406\u6807\u51c6&#xff08;\u5f53\u7528\u6237\u8981\u6c42\u751f\u6210\u4ec7\u6068\u8a00\u8bba\u65f6&#xff0c;AI \u5e94\u8be5\u62d2\u7edd&#xff09;<\/li>\n<\/ul>\n<p>\u6838\u5fc3\u5bf9\u9f50\u6280\u672f [26]&#xff1a;<\/p>\n<ul>\n<li>RLHF \/ DPO&#xff1a;\u901a\u8fc7\u4eba\u7c7b\u504f\u597d\u6570\u636e\u8bad\u7ec3\u6a21\u578b&#xff0c;\u8ba9\u6a21\u578b\u503e\u5411\u4e8e\u751f\u6210&#034;\u597d&#034;\u7684\u56de\u7b54<\/li>\n<li>Constitutional AI&#xff08;\u5baa\u6cd5 AI&#xff09;&#xff1a;Anthropic \u63d0\u51fa\u7684\u65b9\u6cd5&#xff0c;\u7ed9\u6a21\u578b\u8bbe\u5b9a\u4e00\u5957&#034;\u5baa\u6cd5&#034;&#xff08;\u884c\u4e3a\u51c6\u5219&#xff09;&#xff0c;\u8ba9\u6a21\u578b\u5728\u751f\u6210\u56de\u7b54\u65f6\u81ea\u6211\u68c0\u67e5\u662f\u5426\u7b26\u5408\u5baa\u6cd5<\/li>\n<li>Red Teaming&#xff08;\u7ea2\u961f\u6d4b\u8bd5&#xff09;&#xff1a;\u4e13\u95e8\u7684\u56e2\u961f&#xff08;\u5185\u90e8\u6216\u5916\u90e8&#xff09;\u5c1d\u8bd5&#034;\u653b\u51fb&#034;\u6a21\u578b&#xff0c;\u53d1\u73b0\u6f0f\u6d1e\u548c\u98ce\u9669&#xff0c;\u7136\u540e\u4fee\u590d<\/li>\n<li>AlphaAlign&#xff1a;2026 \u5e74\u63d0\u51fa\u7684\u65b0\u65b9\u6cd5&#xff0c;\u7528\u7eaf\u5f3a\u5316\u5b66\u4e60\u6fc0\u52b1\u6a21\u578b\u4e3b\u52a8\u8fdb\u884c\u5b89\u5168\u63a8\u7406&#xff0c;\u800c\u4e0d\u662f\u7b80\u5355\u5730\u62d2\u7edd\u56de\u7b54<\/li>\n<\/ul>\n<h4>20.3 AI \u504f\u89c1\u4e0e\u516c\u5e73\u6027<\/h4>\n<p>AI \u6a21\u578b\u53ef\u80fd\u4ece\u8bad\u7ec3\u6570\u636e\u4e2d\u5b66\u4e60\u5e76\u653e\u5927\u793e\u4f1a\u4e2d\u5b58\u5728\u7684\u504f\u89c1&#xff1a;<\/p>\n<ul>\n<li>\u6027\u522b\u504f\u89c1&#xff1a;&#034;\u62a4\u58eb&#034;\u5728\u6a21\u578b\u751f\u6210\u4e2d\u66f4\u53ef\u80fd\u662f\u5973\u6027&#xff0c;&#034;CEO&#034;\u66f4\u53ef\u80fd\u662f\u7537\u6027<\/li>\n<li>\u79cd\u65cf\u504f\u89c1&#xff1a;\u67d0\u4e9b\u79cd\u65cf\u5728\u72af\u7f6a\u9884\u6d4b\u4e2d\u88ab\u9519\u8bef\u5730\u6807\u8bb0\u4e3a\u9ad8\u98ce\u9669<\/li>\n<li>\u5730\u57df\u504f\u89c1&#xff1a;\u5bf9\u67d0\u4e9b\u5730\u533a\u6216\u6587\u5316\u7684\u523b\u677f\u5370\u8c61<\/li>\n<\/ul>\n<p>\u504f\u89c1\u95ee\u9898\u7684\u6839\u6e90\u5728\u4e8e&#xff1a;\u8bad\u7ec3\u6570\u636e\u53cd\u6620\u4e86\u4eba\u7c7b\u793e\u4f1a\u7684\u65e2\u6709\u504f\u89c1&#xff0c;\u6a21\u578b\u4e0d\u52a0\u6279\u5224\u5730\u5b66\u4e60\u5e76\u653e\u5927\u4e86\u8fd9\u4e9b\u504f\u89c1\u3002\u89e3\u51b3\u504f\u89c1\u9700\u8981\u4ece\u6570\u636e\u6536\u96c6\u3001\u6a21\u578b\u8bad\u7ec3\u3001\u8bc4\u4f30\u6d4b\u8bd5\u4e09\u4e2a\u73af\u8282\u540c\u65f6\u5165\u624b\u3002<\/p>\n<h4>20.4 AI \u76d1\u7ba1\u4e0e\u6cbb\u7406&#xff08;2026 \u5e74\u6700\u65b0\u8fdb\u5c55&#xff09;<\/h4>\n<p>\u6b27\u76df AI \u6cd5\u6848&#xff08;EU AI Act&#xff09;&#xff1a;\u5168\u7403\u6700\u5168\u9762\u3001\u6700\u5177\u5f71\u54cd\u529b\u7684 AI \u76d1\u7ba1\u6cd5\u89c4&#xff0c;2026 \u5e74\u5df2\u5168\u9762\u751f\u6548\u3002\u5b83\u6309\u98ce\u9669\u7b49\u7ea7\u5c06 AI \u5e94\u7528\u5206\u4e3a\u56db\u7c7b&#xff1a;\u4e0d\u53ef\u63a5\u53d7\u98ce\u9669&#xff08;\u7981\u6b62&#xff09;\u3001\u9ad8\u98ce\u9669&#xff08;\u4e25\u683c\u76d1\u7ba1&#xff09;\u3001\u6709\u9650\u98ce\u9669&#xff08;\u900f\u660e\u5ea6\u8981\u6c42&#xff09;\u3001\u4f4e\u98ce\u9669&#xff08;\u65e0\u989d\u5916\u8981\u6c42&#xff09;\u3002\u8fdd\u89c4\u7f5a\u6b3e\u6700\u9ad8\u53ef\u8fbe\u5168\u7403\u5e74\u6536\u5165\u7684 7% \u6216 3500 \u4e07\u6b27\u5143 [26]\u3002<\/p>\n<p>\u4e2d\u56fd AI \u6cbb\u7406&#xff1a;2026 \u5e74&#xff0c;\u4e2d\u56fd\u53d1\u5e03\u4e86\u300a\u4eba\u5de5\u667a\u80fd\u5e94\u7528\u4f26\u7406\u5b89\u5168\u6307\u5f15 1.0\u300b&#xff0c;\u660e\u786e\u4e86 AI \u5e94\u7528\u7684\u4f26\u7406\u5b89\u5168\u7406\u5ff5\u4e0e\u539f\u5219&#xff0c;\u5305\u62ec\u4ee5\u4eba\u4e3a\u672c\u3001\u667a\u80fd\u5411\u5584\u3001\u516c\u5e73\u516c\u6b63\u3001\u5b89\u5168\u53ef\u63a7\u3001\u9690\u79c1\u4fdd\u62a4\u7b49 [26]\u3002\u540c\u65f6&#xff0c;\u4e2d\u56fd\u5728\u751f\u6210\u5f0f AI \u670d\u52a1\u7ba1\u7406\u3001\u6df1\u5ea6\u5408\u6210\u5185\u5bb9\u6807\u8bc6\u3001\u4e2a\u4eba\u4fe1\u606f\u4fdd\u62a4\u7b49\u65b9\u9762\u4e5f\u6709\u4e00\u7cfb\u5217\u6cd5\u89c4\u3002<\/p>\n<p>\u4f01\u4e1a\u81ea\u76d1\u7ba1&#xff1a;OpenAI\u3001Anthropic\u3001Google\u3001Meta \u7b49\u516c\u53f8\u90fd\u5efa\u7acb\u4e86\u5185\u90e8\u7684\u5b89\u5168\u56e2\u961f\u548c\u7ea2\u961f\u6d4b\u8bd5\u673a\u5236\u3002Anthropic \u7684&#034;\u8d1f\u8d23\u4efb\u6269\u5c55\u653f\u7b56&#034;&#xff08;RSP&#xff09;\u8981\u6c42\u6a21\u578b\u5728\u80fd\u529b\u8fbe\u5230\u4e00\u5b9a\u9608\u503c\u65f6&#xff0c;\u5fc5\u987b\u901a\u8fc7\u989d\u5916\u7684\u5b89\u5168\u6d4b\u8bd5\u624d\u80fd\u7ee7\u7eed\u6269\u5c55\u3002<\/p>\n<h4>20.5 \u4e2a\u4eba\u4f7f\u7528 AI \u7684\u5b89\u5168\u5efa\u8bae<\/h4>\n<li>\u4e0d\u8f93\u5165\u654f\u611f\u4fe1\u606f&#xff1a;\u4e0d\u8981\u5728\u5bf9\u8bdd\u4e2d\u8f93\u5165\u5bc6\u7801\u3001\u8eab\u4efd\u8bc1\u53f7\u3001\u94f6\u884c\u5361\u53f7\u7b49\u654f\u611f\u4fe1\u606f\u3002AI \u670d\u52a1\u5546\u53ef\u80fd\u4f7f\u7528\u4f60\u7684\u5bf9\u8bdd\u6570\u636e\u6765\u6539\u8fdb\u6a21\u578b<\/li>\n<li>\u6838\u5b9e\u5173\u952e\u4fe1\u606f&#xff1a;\u5bf9\u4e8e AI \u751f\u6210\u7684\u6cd5\u5f8b\u3001\u533b\u7597\u3001\u91d1\u878d\u5efa\u8bae&#xff0c;\u5fc5\u987b\u901a\u8fc7\u4e13\u4e1a\u6e20\u9053\u6838\u5b9e<\/li>\n<li>\u8c28\u614e\u5bf9\u5f85\u6df1\u5ea6\u4f2a\u9020&#xff1a;\u5f53\u770b\u5230&#034;\u592a\u50cf\u771f\u7684&#034;\u7684\u56fe\u7247\u3001\u89c6\u9891\u3001\u97f3\u9891\u65f6&#xff0c;\u4fdd\u6301\u6000\u7591\u6001\u5ea6\u3002AI \u751f\u6210\u7684\u5a92\u4f53\u8d8a\u6765\u8d8a\u96be\u4ee5\u8089\u773c\u5206\u8fa8<\/li>\n<li>\u7406\u89e3 AI \u7684\u5c40\u9650\u6027&#xff1a;AI \u4e0d\u662f\u4e07\u80fd\u7684&#xff0c;\u5b83\u5728\u67d0\u4e9b\u9886\u57df\u8868\u73b0\u4f18\u79c0&#xff0c;\u5728\u5176\u4ed6\u9886\u57df\u53ef\u80fd\u5b8c\u5168\u4e0d\u53ef\u9760<\/li>\n<li>\u5173\u6ce8\u8f93\u51fa\u504f\u89c1&#xff1a;\u6ce8\u610f AI \u7684\u8f93\u51fa\u662f\u5426\u5305\u542b\u6027\u522b\u3001\u79cd\u65cf\u3001\u5730\u57df\u7b49\u65b9\u9762\u7684\u504f\u89c1<\/li>\n<hr \/>\n<h3>\u4e8c\u5341\u4e00\u3001Vibe Coding \u6df1\u5165&#xff1a;\u4ece\u6982\u5ff5\u5230\u5b9e\u8df5\u7684\u5168\u666f\u89e3\u6790<\/h3>\n<h4>12.1 Vibe Coding \u7684\u6838\u5fc3\u54f2\u5b66<\/h4>\n<p>Vibe Coding \u8fd9\u4e2a\u672f\u8bed\u6700\u65e9\u7531 Andrej Karpathy&#xff08;OpenAI \u8054\u5408\u521b\u59cb\u4eba\u3001\u524d Tesla AI \u603b\u76d1&#xff09;\u5728 2025 \u5e74\u521d\u63d0\u51fa\u3002\u4ed6\u7528\u8fd9\u4e2a\u8bcd\u6765\u63cf\u8ff0\u4e00\u79cd\u5168\u65b0\u7684\u7f16\u7a0b\u4f53\u9a8c&#xff1a;\u4f60\u4e0d\u518d\u4e00\u884c\u884c\u5199\u4ee3\u7801&#xff0c;\u800c\u662f\u7528\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u4f60\u60f3\u8981\u4ec0\u4e48&#xff0c;AI \u6765\u751f\u6210\u4ee3\u7801&#xff0c;\u4f60\u8d1f\u8d23\u9a8c\u6536\u3001\u53cd\u9988\u3001\u8fed\u4ee3\u3002<\/p>\n<p>\u8fd9\u79cd\u5de5\u4f5c\u65b9\u5f0f\u7684\u6838\u5fc3\u7406\u5ff5\u662f&#xff1a;\u628a&#034;\u5b9e\u73b0&#034;\u5916\u5305\u7ed9 AI&#xff0c;\u628a&#034;\u5224\u65ad&#034;\u7559\u7ed9\u81ea\u5df1\u3002\u5f00\u53d1\u8005\u4ece&#034;\u4ee3\u7801\u7684\u751f\u4ea7\u8005&#034;\u8f6c\u53d8\u4e3a&#034;\u9700\u6c42\u7684\u63cf\u8ff0\u8005\u548c\u8d28\u91cf\u7684\u628a\u5173\u8005&#034;\u3002<\/p>\n<p>Vibe Coding \u5df2\u7ecf\u9010\u6e10\u6210\u4e3a\u65b0\u4e00\u4ee3\u5f00\u53d1\u65b9\u5f0f\u7684\u4e3b\u6d41\u8d8b\u52bf\u3002\u4ee5\u4e0b\u51e0\u4e2a\u5c97\u4f4d\u7684\u5174\u8d77&#xff0c;\u4e5f\u5370\u8bc1\u4e86\u8fd9\u4e00\u70b9&#xff1a;<\/p>\n<ul>\n<li>AI \u5e94\u7528\u5f00\u53d1\u5de5\u7a0b\u5e08&#xff1a;\u4e13\u6ce8\u4e8e\u7528 AI \u5de5\u5177\u5f00\u53d1\u548c\u90e8\u7f72 AI \u9a71\u52a8\u7684\u5e94\u7528\u3002\u6838\u5fc3\u6280\u80fd\u4e0d\u662f&#034;\u5199\u5f88\u591a\u4ee3\u7801&#034;&#xff0c;\u800c\u662f&#034;\u7528\u81ea\u7136\u8bed\u8a00\u9ad8\u6548\u5730\u9a71\u52a8 AI \u751f\u6210\u4ee3\u7801&#034;<\/li>\n<li>Agent \u5f00\u53d1\u5de5\u7a0b\u5e08&#xff1a;\u4e13\u6ce8\u4e8e\u8bbe\u8ba1\u548c\u5f00\u53d1 AI Agent \u7cfb\u7edf\u3002\u9700\u8981\u7406\u89e3 Agent \u7684\u51b3\u7b56\u673a\u5236\u3001\u5de5\u5177\u8c03\u7528\u6d41\u7a0b\u3001\u5b89\u5168\u8fb9\u754c\u548c\u4e0e\u5916\u90e8\u7cfb\u7edf\u7684\u96c6\u6210<\/li>\n<li>AI \u7b97\u6cd5\u5de5\u7a0b\u5e08&#xff1a;\u4e13\u6ce8\u4e8e AI \u6a21\u578b\u7684\u7814\u53d1\u548c\u4f18\u5316\u3002\u8fd9\u4e2a\u65b9\u5411\u8981\u6c42\u6700\u9ad8&#xff0c;\u9700\u8981\u6df1\u539a\u7684\u6570\u5b66\u548c\u673a\u5668\u5b66\u4e60\u57fa\u7840<\/li>\n<\/ul>\n<p>\u524d\u4e24\u4e2a\u65b9\u5411\u662f\u5927\u591a\u6570\u5f00\u53d1\u8005\u672a\u6765\u53ef\u4ee5\u91cd\u70b9\u52aa\u529b\u548c\u53d1\u5c55\u7684\u65b9\u5411\u3002AI \u65f6\u4ee3\u7684\u5f00\u53d1\u8005\u6838\u5fc3\u7ade\u4e89\u529b\u4e0d\u518d\u662f&#034;\u5199\u4ee3\u7801\u7684\u901f\u5ea6&#034;&#xff0c;\u800c\u662f&#xff1a;<\/p>\n<li>\u9700\u6c42\u7406\u89e3\u80fd\u529b&#xff1a;\u80fd\u6e05\u6670\u3001\u51c6\u786e\u5730\u63cf\u8ff0\u9700\u6c42&#xff08;Prompt Engineering \u7684\u6838\u5fc3\u6280\u80fd&#xff09;<\/li>\n<li>\u4ee3\u7801\u5ba1\u67e5\u80fd\u529b&#xff1a;\u80fd\u5feb\u901f\u5224\u65ad AI \u751f\u6210\u7684\u4ee3\u7801\u662f\u5426\u6b63\u786e\u3001\u9ad8\u6548\u3001\u5b89\u5168<\/li>\n<li>\u7cfb\u7edf\u8bbe\u8ba1\u80fd\u529b&#xff1a;\u80fd\u8bbe\u8ba1\u6574\u4f53\u67b6\u6784&#xff0c;\u5c06 AI \u751f\u6210\u7684\u96f6\u6563\u4ee3\u7801\u7ec4\u7ec7\u6210\u5b8c\u6574\u7cfb\u7edf<\/li>\n<li>\u8fed\u4ee3\u4f18\u5316\u80fd\u529b&#xff1a;\u80fd\u901a\u8fc7\u591a\u8f6e\u53cd\u9988\u8ba9 AI \u751f\u6210\u8d8a\u6765\u8d8a\u597d\u7684\u4ee3\u7801<\/li>\n<h4>12.2 Vibe Coding \u5de5\u5177\u6df1\u5ea6\u5bf9\u6bd4<\/h4>\n<p>AI \u539f\u751f IDE&#xff1a;\u8fd9\u7c7b\u5de5\u5177\u5728\u4f20\u7edf IDE \u7684\u57fa\u7840\u4e0a\u6df1\u5ea6\u96c6\u6210 AI \u80fd\u529b&#xff0c;\u662f\u76ee\u524d\u5f00\u53d1\u8005\u65e5\u5e38\u4f7f\u7528\u6700\u9891\u7e41\u7684\u5de5\u5177\u3002<\/p>\n<p>Cursor&#xff1a;<\/p>\n<ul>\n<li>\u57fa\u4e8e VS Code \u5185\u6838&#xff0c;\u5bf9\u6240\u6709 VS Code \u63d2\u4ef6\u5b8c\u5168\u517c\u5bb9<\/li>\n<li>Agent \u6a21\u5f0f\u662f Cursor \u7684\u6740\u624b\u7ea7\u529f\u80fd\u2014\u2014AI \u80fd\u81ea\u4e3b\u7406\u89e3\u6574\u4e2a\u9879\u76ee\u7ed3\u6784&#xff0c;\u8de8\u6587\u4ef6\u4fee\u6539\u4ee3\u7801&#xff0c;\u8fd0\u884c\u7ec8\u7aef\u547d\u4ee4&#xff0c;\u68c0\u67e5\u9519\u8bef\u5e76\u81ea\u52a8\u4fee\u590d<\/li>\n<li>Composer \u529f\u80fd\u53ef\u4ee5\u4e00\u6b21\u6027\u751f\u6210\u591a\u4e2a\u6587\u4ef6&#xff08;\u5982&#034;\u5e2e\u6211\u521b\u5efa\u4e00\u4e2a\u5b8c\u6574\u7684 REST API&#xff0c;\u5305\u62ec model\u3001controller\u3001service \u548c test&#034;&#xff09;<\/li>\n<li>Tab \u81ea\u52a8\u8865\u5168\u7684\u9884\u6d4b\u51c6\u786e\u7387\u8fdc\u8d85\u4f20\u7edf\u7684\u4ee3\u7801\u8865\u5168\u2014\u2014AI \u4e0d\u4ec5\u9884\u6d4b\u4f60\u8981\u5199\u4ec0\u4e48\u4ee3\u7801&#xff0c;\u8fd8\u80fd\u9884\u6d4b\u4f60\u8981\u505a\u4ec0\u4e48\u64cd\u4f5c<\/li>\n<li>\u652f\u6301\u63a5\u5165 OpenAI\u3001Anthropic\u3001Google \u7b49\u591a\u4e2a\u6a21\u578b\u63d0\u4f9b\u5546<\/li>\n<\/ul>\n<p>Windsurf&#xff1a;<\/p>\n<ul>\n<li>Codeium \u51fa\u54c1&#xff0c;\u5728 AI \u4ea4\u4e92\u4f53\u9a8c\u4e0a\u505a\u4e86\u72ec\u7279\u521b\u65b0<\/li>\n<li>Flow \u6a21\u5f0f\u81ea\u52a8\u5206\u6790\u4e0a\u4e0b\u6587\u5e76\u6267\u884c\u591a\u6b65\u64cd\u4f5c\u2014\u2014\u6bd4\u5982\u4f60\u6539\u4e86\u4e00\u4e2a\u51fd\u6570\u540d&#xff0c;\u5b83\u80fd\u81ea\u52a8\u627e\u5230\u6240\u6709\u8c03\u7528\u4e86\u8fd9\u4e2a\u51fd\u6570\u7684\u5730\u65b9\u5e76\u540c\u6b65\u4fee\u6539<\/li>\n<li>Cascade \u529f\u80fd\u7406\u89e3\u9879\u76ee\u7684\u6574\u4f53\u7ed3\u6784&#xff0c;\u63d0\u4f9b\u9879\u76ee\u7ea7\u522b\u7684\u5efa\u8bae\u548c\u91cd\u6784\u65b9\u6848<\/li>\n<li>\u4ef7\u683c\u6bd4 Cursor \u4f4e&#xff0c;\u5bf9\u4e2a\u4eba\u5f00\u53d1\u8005\u66f4\u53cb\u597d<\/li>\n<\/ul>\n<p>Trae&#xff1a;<\/p>\n<ul>\n<li>\u5b57\u8282\u8df3\u52a8\u51fa\u54c1&#xff0c;\u5bf9\u4e2d\u6587\u5f00\u53d1\u8005\u4f53\u9a8c\u505a\u4e86\u6df1\u5ea6\u4f18\u5316<\/li>\n<li>\u5185\u7f6e Builder \u6a21\u5f0f&#xff0c;\u9002\u5408\u5feb\u901f\u6784\u5efa\u9879\u76ee\u539f\u578b\u2014\u2014\u4f60\u63cf\u8ff0\u9700\u6c42&#xff0c;\u5b83\u4e00\u6b21\u6027\u751f\u6210\u5b8c\u6574\u9879\u76ee<\/li>\n<li>\u4e0e\u56fd\u5185\u5f00\u53d1\u8005\u5e38\u7528\u7684\u5de5\u5177\u548c\u5e73\u53f0&#xff08;\u5982\u98de\u4e66\u3001\u963f\u91cc\u4e91&#xff09;\u96c6\u6210\u66f4\u597d<\/li>\n<li>\u5728\u5bf9\u4e2d\u6587\u6307\u4ee4\u7684\u7406\u89e3\u548c\u4e2d\u6587\u9879\u76ee\u7684\u652f\u6301\u4e0a\u76f8\u6bd4 Cursor \u6709\u5929\u7136\u4f18\u52bf<\/li>\n<\/ul>\n<p>CLI \u5de5\u5177&#xff1a;\u5728\u7ec8\u7aef\u4e2d\u76f4\u63a5\u4f7f\u7528&#xff0c;\u4e0d\u9700\u8981\u56fe\u5f62\u754c\u9762&#xff0c;\u9002\u5408\u5728\u8fdc\u7a0b\u670d\u52a1\u5668\u4e0a\u5de5\u4f5c\u6216\u8ffd\u6c42\u6781\u81f4\u6548\u7387\u7684\u5f00\u53d1\u8005\u3002<\/p>\n<p>Claude Code&#xff1a;<\/p>\n<ul>\n<li>Anthropic \u5b98\u65b9 CLI \u5de5\u5177&#xff0c;\u6df1\u5ea6\u96c6\u6210 Claude \u7cfb\u5217\u6a21\u578b<\/li>\n<li>\u7406\u89e3\u6574\u4e2a\u4ee3\u7801\u5e93\u7684\u7ed3\u6784&#xff0c;\u4e0d\u4ec5\u4ec5\u662f\u5f53\u524d\u6253\u5f00\u7684\u6587\u4ef6<\/li>\n<li>\u4ee3\u7406\u5f0f\u6267\u884c\u2014\u2014\u4f60\u80fd\u544a\u8bc9\u5b83&#034;\u5e2e\u6211\u4fee\u8fd9\u4e2a bug&#034;&#xff0c;\u5b83\u4f1a\u81ea\u5df1\u8bfb\u4ee3\u7801\u3001\u627e\u5230\u95ee\u9898\u3001\u4fee\u6539\u4ee3\u7801\u3001\u8fd0\u884c\u6d4b\u8bd5\u3001\u786e\u8ba4\u4fee\u590d<\/li>\n<li>\u652f\u6301 Git \u611f\u77e5\u2014\u2014\u80fd\u7406\u89e3\u4ee3\u7801\u7684\u53d8\u66f4\u5386\u53f2&#xff0c;\u751f\u6210\u66f4\u5408\u7406\u7684\u4fee\u6539\u5efa\u8bae<\/li>\n<\/ul>\n<p>Aider&#xff1a;<\/p>\n<ul>\n<li>\u5f00\u6e90 CLI \u5de5\u5177&#xff0c;\u652f\u6301\u51e0\u4e4e\u6240\u6709\u4e3b\u6d41 LLM&#xff08;OpenAI\u3001Anthropic\u3001DeepSeek\u3001Ollama \u672c\u5730\u6a21\u578b\u7b49&#xff09;<\/li>\n<li>\u81ea\u52a8 Git \u96c6\u6210\u2014\u2014\u6bcf\u6b21\u4fee\u6539\u81ea\u52a8\u751f\u6210\u6709\u610f\u4e49\u7684 commit message<\/li>\n<li>\u5728\u5730\u56fe\u7f16\u8f91\u6a21\u5f0f\u4e2d&#xff0c;Aider \u80fd\u7cbe\u786e\u4fee\u6539\u4ee3\u7801\u4e2d\u7684\u7279\u5b9a\u4f4d\u7f6e<\/li>\n<li>\u652f\u6301\u591a\u6587\u4ef6\u7f16\u8f91\u2014\u2014\u4e00\u6b21\u8bf7\u6c42\u53ef\u4ee5\u540c\u65f6\u4fee\u6539\u591a\u4e2a\u76f8\u5173\u6587\u4ef6<\/li>\n<\/ul>\n<p>Cline&#xff1a;<\/p>\n<ul>\n<li>VS Code \u63d2\u4ef6\u5f62\u5f0f&#xff0c;\u4f46\u672c\u8d28\u662f CLI \u5de5\u4f5c\u6d41<\/li>\n<li>\u652f\u6301\u81ea\u4e3b\u6267\u884c\u7ec8\u7aef\u547d\u4ee4\u2014\u2014AI \u80fd\u5b89\u88c5\u4f9d\u8d56\u3001\u8fd0\u884c\u6d4b\u8bd5\u3001\u90e8\u7f72\u5e94\u7528<\/li>\n<li>\u6bcf\u4e00\u6b21\u64cd\u4f5c\u524d\u90fd\u4f1a\u8bf7\u6c42\u4f60\u7684\u786e\u8ba4&#xff0c;\u517c\u987e\u4e86\u81ea\u4e3b\u6027\u548c\u5b89\u5168\u6027<\/li>\n<\/ul>\n<p>\u5373\u65f6\u751f\u6210\u5de5\u5177&#xff1a;\u8fd9\u4e9b\u5de5\u5177\u7684\u7279\u70b9\u662f&#034;\u4e00\u53e5\u8bdd\u751f\u6210\u5b8c\u6574\u9879\u76ee&#034;&#xff0c;\u9002\u5408\u5feb\u901f\u9a8c\u8bc1\u60f3\u6cd5\u548c\u751f\u6210 Demo\u3002<\/p>\n<p>Devin&#xff1a;<\/p>\n<ul>\n<li>\u53f7\u79f0&#034;\u9996\u4e2a AI \u8f6f\u4ef6\u5de5\u7a0b\u5e08&#034;&#xff0c;\u80fd\u72ec\u7acb\u5b8c\u6210\u4ece\u7406\u89e3\u9700\u6c42\u5230\u90e8\u7f72\u4e0a\u7ebf\u7684\u5168\u8fc7\u7a0b<\/li>\n<li>\u62e5\u6709\u81ea\u5df1\u7684\u6d4f\u89c8\u5668\u3001\u7ec8\u7aef\u548c\u7f16\u8f91\u5668\u2014\u2014\u80fd\u50cf\u4eba\u7c7b\u5f00\u53d1\u8005\u4e00\u6837\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177<\/li>\n<li>\u9002\u5408\u590d\u6742\u3001\u591a\u6b65\u9aa4\u7684\u5f00\u53d1\u4efb\u52a1<\/li>\n<\/ul>\n<p>\u79d2\u54d2&#xff1a;<\/p>\n<ul>\n<li>\u5b57\u8282\u8df3\u52a8\u51fa\u54c1&#xff0c;\u4e2d\u6587\u53cb\u597d<\/li>\n<li>\u4e00\u952e\u751f\u6210\u5b8c\u6574\u9879\u76ee&#xff0c;\u5305\u542b\u524d\u7aef\u3001\u540e\u7aef\u548c\u6570\u636e\u5e93<\/li>\n<li>\u9002\u5408\u5feb\u901f\u6784\u5efa\u539f\u578b\u548c MVP<\/li>\n<\/ul>\n<p>\u7801\u4e0a\u98de&#xff1a;<\/p>\n<ul>\n<li>\u5373\u65f6\u751f\u6210&#xff0c;\u5feb\u901f\u51fa\u539f\u578b<\/li>\n<li>\u754c\u9762\u76f4\u89c2&#xff0c;\u64cd\u4f5c\u7b80\u5355<\/li>\n<li>\u9002\u5408\u975e\u6280\u672f\u80cc\u666f\u7684\u521b\u4e1a\u8005\u5feb\u901f\u9a8c\u8bc1\u4ea7\u54c1\u60f3\u6cd5<\/li>\n<\/ul>\n<h4>12.3 Vibe Coding \u7684\u6700\u4f73\u5b9e\u8df5<\/h4>\n<p>Vibe Coding \u867d\u7136\u964d\u4f4e\u4e86\u7f16\u7a0b\u7684\u95e8\u69db&#xff0c;\u4f46\u8981\u505a\u597d\u5b83&#xff0c;\u4ecd\u7136\u9700\u8981\u9075\u5faa\u4e00\u4e9b\u539f\u5219&#xff1a;<\/p>\n<p>\u539f\u5219\u4e00&#xff1a;\u9700\u6c42\u63cf\u8ff0\u8981\u7ed3\u6784\u5316<\/p>\n<p>\u6a21\u7cca\u7684\u9700\u6c42\u5f97\u5230\u6a21\u7cca\u7684\u4ee3\u7801\u3002\u4f7f\u7528 CO-STAR \u6846\u67b6\u6765\u63cf\u8ff0\u4f60\u7684\u5f00\u53d1\u9700\u6c42\u2014\u2014\u80cc\u666f&#xff08;Context&#xff0c;\u9879\u76ee\u73af\u5883\u548c\u6280\u672f\u6808&#xff09;\u3001\u76ee\u6807&#xff08;Objective&#xff0c;\u8981\u89e3\u51b3\u4ec0\u4e48\u95ee\u9898&#xff09;\u3001\u98ce\u683c&#xff08;Style&#xff0c;\u4ee3\u7801\u98ce\u683c\u504f\u597d&#xff09;\u3001\u7ea6\u675f&#xff08;Tone\/Constraints&#xff0c;\u6027\u80fd\u8981\u6c42\u3001\u517c\u5bb9\u6027\u8981\u6c42&#xff09;\u3001\u54cd\u5e94\u683c\u5f0f&#xff08;Response&#xff0c;\u671f\u671b\u7684\u8f93\u51fa\u683c\u5f0f&#xff09;\u3002<\/p>\n<p>\u3010\u80cc\u666f\u3011React 19 &#043; TypeScript &#043; Tailwind CSS \u9879\u76ee<br \/>\n\u3010\u4efb\u52a1\u3011\u521b\u5efa\u4e00\u4e2a\u53ef\u590d\u7528\u7684\u6570\u636e\u8868\u683c\u7ec4\u4ef6<br \/>\n\u3010\u7ea6\u675f\u3011<br \/>\n&#8211; \u652f\u6301\u6392\u5e8f\u3001\u5206\u9875\u3001\u884c\u9009\u62e9<br \/>\n&#8211; \u54cd\u5e94\u5f0f\u8bbe\u8ba1&#xff0c;\u79fb\u52a8\u7aef\u6298\u53e0\u4e3a\u5361\u7247\u89c6\u56fe<br \/>\n&#8211; \u652f\u6301\u6697\u8272\u6a21\u5f0f<br \/>\n&#8211; TypeScript \u4e25\u683c\u6a21\u5f0f&#xff0c;\u4e0d\u4f7f\u7528 any<br \/>\n&#8211; \u5305\u542b\u5355\u5143\u6d4b\u8bd5<br \/>\n\u3010\u8f93\u51fa\u683c\u5f0f\u3011<br \/>\n&#8211; \u7ec4\u4ef6\u6587\u4ef6&#xff1a;DataTable.tsx<br \/>\n&#8211; \u7c7b\u578b\u5b9a\u4e49&#xff1a;types.ts<br \/>\n&#8211; \u6837\u5f0f&#xff1a;\u4f7f\u7528 Tailwind CSS \u7c7b<br \/>\n&#8211; \u6d4b\u8bd5\u6587\u4ef6&#xff1a;DataTable.test.tsx<\/p>\n<p>\u539f\u5219\u4e8c&#xff1a;\u5206\u6b65\u63a8\u8fdb&#xff0c;\u4e0d\u8981\u4e00\u6b65\u5230\u4f4d<\/p>\n<p>\u4e0d\u8981\u8bd5\u56fe\u8ba9 AI \u4e00\u6b21\u751f\u6210 5000 \u884c\u4ee3\u7801\u3002\u6b63\u786e\u7684\u65b9\u5f0f\u662f&#xff1a;<\/p>\n<li>\u5148\u751f\u6210\u6570\u636e\u6a21\u578b\u548c\u7c7b\u578b\u5b9a\u4e49<\/li>\n<li>\u518d\u751f\u6210\u6838\u5fc3\u903b\u8f91<\/li>\n<li>\u518d\u6dfb\u52a0 UI \u7ec4\u4ef6<\/li>\n<li>\u518d\u6dfb\u52a0\u9519\u8bef\u5904\u7406\u548c\u8fb9\u754c\u60c5\u51b5<\/li>\n<li>\u6700\u540e\u6dfb\u52a0\u6d4b\u8bd5<\/li>\n<p>\u6bcf\u4e00\u6b65\u5b8c\u6210\u540e\u518d\u8fdb\u884c\u4e0b\u4e00\u6b65&#xff0c;\u6bcf\u4e00\u6b65\u90fd\u9a8c\u8bc1 AI \u7684\u8f93\u51fa\u662f\u5426\u6b63\u786e\u3002\u8fd9\u6bd4&#034;\u4e00\u6b21\u6027\u751f\u6210\u5168\u90e8&#034;\u7684\u6210\u529f\u7387\u9ad8\u5f97\u591a\u3002<\/p>\n<p>\u539f\u5219\u4e09&#xff1a;\u8bfb\u4ee3\u7801\u6bd4\u5199\u4ee3\u7801\u66f4\u91cd\u8981<\/p>\n<p>Vibe Coding \u65f6\u4ee3&#xff0c;\u5f00\u53d1\u8005\u7684\u6838\u5fc3\u5de5\u4f5c\u4ece&#034;\u5199\u4ee3\u7801&#034;\u8f6c\u53d8\u4e3a&#034;\u8bfb\u4ee3\u7801\u548c\u5ba1\u4ee3\u7801&#034;\u3002AI \u751f\u6210\u7684\u4ee3\u7801\u4e0d\u4e00\u5b9a\u6b63\u786e&#xff0c;\u751a\u81f3\u53ef\u80fd\u5305\u542b\u5b89\u5168\u6f0f\u6d1e\u6216\u6027\u80fd\u95ee\u9898\u3002\u5f00\u53d1\u8005\u9700\u8981\u6709\u8db3\u591f\u7684\u6280\u672f\u5224\u65ad\u529b\u6765&#xff1a;<\/p>\n<ul>\n<li>\u5feb\u901f\u5224\u65ad\u751f\u6210\u7684\u4ee3\u7801\u662f\u5426\u6b63\u786e<\/li>\n<li>\u8bc6\u522b\u6f5c\u5728\u7684\u6027\u80fd\u95ee\u9898\u548c\u5b89\u5168\u98ce\u9669<\/li>\n<li>\u7406\u89e3\u4ee3\u7801\u7684\u6574\u4f53\u7ed3\u6784\u662f\u5426\u5408\u7406<\/li>\n<li>\u786e\u4fdd\u4ee3\u7801\u7b26\u5408\u9879\u76ee\u7684\u67b6\u6784\u89c4\u8303<\/li>\n<\/ul>\n<p>\u539f\u5219\u56db&#xff1a;\u7528\u597d Git&#xff0c;\u505a\u597d\u7248\u672c\u63a7\u5236<\/p>\n<p>AI \u751f\u6210\u7684\u4ee3\u7801\u7ecf\u5e38\u9700\u8981\u56de\u9000\u3002\u9891\u7e41\u63d0\u4ea4\u3001\u5199\u597d commit message&#xff0c;\u662f Vibe Coding \u7684\u597d\u4e60\u60ef\u3002\u5efa\u8bae\u6bcf\u6b21\u8ba9 AI \u5b8c\u6210\u4e00\u4e2a\u72ec\u7acb\u7684\u5c0f\u4efb\u52a1\u540e&#xff0c;\u5148\u5ba1\u67e5\u4ee3\u7801&#xff0c;\u786e\u8ba4\u65e0\u8bef\u540e\u7acb\u5373\u63d0\u4ea4\u3002\u8fd9\u6837\u5982\u679c AI \u540e\u7eed\u7684\u4fee\u6539\u641e\u7838\u4e86&#xff0c;\u53ef\u4ee5\u8f7b\u677e\u56de\u9000\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u5341\u4e8c\u3001\u603b\u7ed3&#xff1a;\u4e00\u5f20\u56fe\u770b\u6e05\u6838\u5fc3\u6982\u5ff5\u4e4b\u95f4\u7684\u5173\u7cfb<\/h3>\n<h4>13.1 \u6982\u5ff5\u5168\u666f\u56fe<\/h4>\n<p>\u4eba\u5de5\u667a\u80fd&#xff08;AI&#xff09;<br \/>\n    \u2502<br \/>\n    \u251c\u2500\u2500 \u4e03\u5341\u5e74\u53d1\u5c55\u7b80\u53f2&#xff1a;\u4e09\u6b21\u5bd2\u51ac\u3001\u4e24\u6b21\u590d\u5174\u3001\u4e00\u6b21\u7206\u53d1<br \/>\n    \u2502<br \/>\n    \u251c\u2500\u2500 \u673a\u5668\u5b66\u4e60&#xff08;ML&#xff09;\u2500\u2500 \u8ba9\u673a\u5668\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u89c4\u5219<br \/>\n    \u2502       \u2502<br \/>\n    \u2502       \u251c\u2500\u2500 \u4f20\u7edf ML&#xff1a;\u7ebf\u6027\u56de\u5f52\u3001\u51b3\u7b56\u6811\u3001SVM\u3001K-Means<br \/>\n    \u2502       \u2502<br \/>\n    \u2502       \u2514\u2500\u2500 \u6df1\u5ea6\u5b66\u4e60&#xff08;DL&#xff09;\u2500\u2500 \u591a\u5c42\u795e\u7ecf\u7f51\u7edc&#xff0c;\u81ea\u52a8\u5b66\u4e60\u7279\u5f81<br \/>\n    \u2502               \u2502<br \/>\n    \u2502               \u251c\u2500\u2500 CNN&#xff1a;\u56fe\u50cf\u8bc6\u522b<br \/>\n    \u2502               \u251c\u2500\u2500 RNN\/LSTM&#xff1a;\u5e8f\u5217\u5904\u7406<br \/>\n    \u2502               \u2514\u2500\u2500 Transformer&#xff1a;\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840<br \/>\n    \u2502                       \u2502<br \/>\n    \u2502                       \u251c\u2500\u2500 \u7f16\u7801\u5668-\u89e3\u7801\u5668\u67b6\u6784<br \/>\n    \u2502                       \u251c\u2500\u2500 \u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff08;Q\u3001K\u3001V&#xff09;<br \/>\n    \u2502                       \u251c\u2500\u2500 \u591a\u5934\u6ce8\u610f\u529b<br \/>\n    \u2502                       \u2514\u2500\u2500 \u4f4d\u7f6e\u7f16\u7801<br \/>\n    \u2502                       \u2502<br \/>\n    \u2502                       \u2514\u2500\u2500 \u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM&#xff09;<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u8bad\u7ec3&#xff1a;\u9884\u8bad\u7ec3 \u2192 SFT \u2192 RLHF\/DPO \u5bf9\u9f50<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u8f93\u5165&#xff1a;Prompt&#xff08;\u63d0\u793a\u8bcd&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u7cfb\u7edf\u63d0\u793a\u8bcd&#xff08;\u89d2\u8272\u3001\u89c4\u5219&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u7528\u6237\u63d0\u793a\u8bcd&#xff08;\u4efb\u52a1\u6307\u4ee4&#xff09;<br \/>\n    \u2502                               \u2502       \u2514\u2500\u2500 CO-STAR \u6846\u67b6&#xff08;Context\/Objective\/Style\/Tone\/Audience\/Response&#xff09;<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u751f\u6210\u63a7\u5236&#xff1a;Temperature \/ Top-P \/ Top-K \/ Repetition Penalty<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u5904\u7406\u5355\u4f4d&#xff1a;Token&#xff08;\u8bcd\u5143&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u8f93\u5165 Token&#xff08;\u8ba1\u8d39&#xff09;<br \/>\n    \u2502                               \u2502       \u2514\u2500\u2500 \u8f93\u51fa Token&#xff08;\u8ba1\u8d39&#xff09;<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u8bb0\u5fc6\u673a\u5236&#xff1a;\u4f1a\u8bdd\u8bb0\u5fc6&#xff08;Chat Memory&#xff09;<br \/>\n    \u2502                               \u2502       \u2514\u2500\u2500 \u53d7\u9650\u4e8e \u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;Context Window&#xff09;<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u80fd\u529b\u6269\u5c55&#xff1a;\u591a\u6a21\u6001&#xff08;Multimodal&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u6587\u672c<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u56fe\u50cf<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u97f3\u9891<br \/>\n    \u2502                               \u2502       \u2514\u2500\u2500 \u89c6\u9891<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u77e5\u8bc6\u589e\u5f3a&#xff1a;RAG&#xff08;\u68c0\u7d22\u589e\u5f3a\u751f\u6210&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 Embedding \u6a21\u578b&#xff08;\u8bed\u4e49\u5411\u91cf\u5316&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u5411\u91cf\u6570\u636e\u5e93&#xff08;\u76f8\u4f3c\u5ea6\u68c0\u7d22&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 Graph RAG&#xff08;\u77e5\u8bc6\u56fe\u8c31\u589e\u5f3a&#xff09;<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 Agentic RAG&#xff08;\u591a\u8f6e\u8fed\u4ee3\u68c0\u7d22&#xff09;<br \/>\n    \u2502                               \u2502       \u2514\u2500\u2500 \u5f15\u7528\u6eaf\u6e90<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 Agent \u80fd\u529b&#xff1a;\u81ea\u4e3b\u611f\u77e5\u3001\u89c4\u5212\u3001\u6267\u884c\u3001\u53cd\u601d<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u5355\u667a\u80fd\u4f53<br \/>\n    \u2502                               \u2502       \u2514\u2500\u2500 \u591a\u667a\u80fd\u4f53\u534f\u4f5c&#xff08;LangGraph\u3001CrewAI\u3001AutoGen&#xff09;<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u251c\u2500\u2500 \u98ce\u9669\u4e0e\u6311\u6218<br \/>\n    \u2502                               \u2502       \u251c\u2500\u2500 \u5e7b\u89c9&#xff08;Hallucination&#xff09;<br \/>\n    \u2502                               \u2502       \u2514\u2500\u2500 \u5b89\u5168\u4e0e\u4f26\u7406&#xff08;\u5bf9\u9f50\u3001\u504f\u89c1\u3001\u9690\u79c1&#xff09;<br \/>\n    \u2502                               \u2502<br \/>\n    \u2502                               \u2514\u2500\u2500 \u8bc4\u6d4b\u4f53\u7cfb&#xff1a;MMLU \/ HumanEval \/ SWE-bench \/ GPQA \/ Chatbot Arena<br \/>\n    \u2502<br \/>\n    \u2514\u2500\u2500 \u5176\u4ed6 AI \u5206\u652f&#xff1a;\u4e13\u5bb6\u7cfb\u7edf\u3001\u8fdb\u5316\u7b97\u6cd5\u3001\u6a21\u7cca\u903b\u8f91&#8230;<\/p>\n<h4>13.2 \u6838\u5fc3\u6982\u5ff5\u901f\u67e5\u8868<\/h4>\n<table>\n<tr>\u6982\u5ff5\u4e00\u53e5\u8bdd\u5b9a\u4e49\u5173\u952e\u4f5c\u7528<\/tr>\n<tbody>\n<tr>\n<td>AI<\/td>\n<td>\u8ba9\u673a\u5668\u6a21\u62df\u4eba\u7c7b\u667a\u80fd<\/td>\n<td>\u603b\u76ee\u6807<\/td>\n<\/tr>\n<tr>\n<td>ML<\/td>\n<td>\u8ba9\u673a\u5668\u4ece\u6570\u636e\u4e2d\u5b66\u4e60<\/td>\n<td>AI \u7684\u6838\u5fc3\u5b9e\u73b0\u65b9\u5f0f<\/td>\n<\/tr>\n<tr>\n<td>DL<\/td>\n<td>\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u81ea\u52a8\u5b66\u4e60<\/td>\n<td>ML \u7684\u5f3a\u529b\u5206\u652f&#xff0c;\u5f53\u524d AI \u7206\u53d1\u7684\u539f\u56e0<\/td>\n<\/tr>\n<tr>\n<td>Transformer<\/td>\n<td>\u57fa\u4e8e\u81ea\u6ce8\u610f\u529b\u673a\u5236\u7684\u5e8f\u5217\u5904\u7406\u67b6\u6784<\/td>\n<td>\u6240\u6709\u5927\u8bed\u8a00\u6a21\u578b\u7684&#034;\u53d1\u52a8\u673a&#034;<\/td>\n<\/tr>\n<tr>\n<td>LLM<\/td>\n<td>\u57fa\u4e8e\u6d77\u91cf\u6587\u672c\u8bad\u7ec3\u7684\u8bed\u8a00\u6a21\u578b<\/td>\n<td>\u5f53\u524d AI \u5e94\u7528\u7684\u6838\u5fc3\u5f15\u64ce<\/td>\n<\/tr>\n<tr>\n<td>Prompt<\/td>\n<td>\u7ed9 LLM \u7684\u6307\u4ee4<\/td>\n<td>\u4eba\u673a\u4ea4\u4e92\u7684\u63a5\u53e3<\/td>\n<\/tr>\n<tr>\n<td>CO-STAR<\/td>\n<td>\u7ed3\u6784\u5316\u63d0\u793a\u8bcd\u6846\u67b6<\/td>\n<td>\u786e\u4fdd Prompt \u8986\u76d6\u6240\u6709\u5173\u952e\u7ef4\u5ea6<\/td>\n<\/tr>\n<tr>\n<td>Temperature<\/td>\n<td>\u63a7\u5236\u6a21\u578b\u8f93\u51fa\u7684\u968f\u673a\u6027<\/td>\n<td>\u5728&#034;\u521b\u9020\u529b&#034;\u548c&#034;\u51c6\u786e\u6027&#034;\u4e4b\u95f4\u8c03\u8282<\/td>\n<\/tr>\n<tr>\n<td>Top-P<\/td>\n<td>\u52a8\u6001\u622a\u65ad\u4f4e\u6982\u7387\u8bcd<\/td>\n<td>\u6392\u9664\u4e0d\u5408\u7406\u7684\u5019\u9009\u8bcd&#xff0c;\u63d0\u9ad8\u8f93\u51fa\u8d28\u91cf<\/td>\n<\/tr>\n<tr>\n<td>Token<\/td>\n<td>LLM \u5904\u7406\u7684\u6700\u5c0f\u8bed\u4e49\u5355\u4f4d<\/td>\n<td>\u8ba1\u8d39\u3001\u5bb9\u91cf\u3001\u7406\u89e3\u7684\u57fa\u7840<\/td>\n<\/tr>\n<tr>\n<td>\u4f1a\u8bdd\u8bb0\u5fc6<\/td>\n<td>\u6a21\u578b\u5bf9\u5bf9\u8bdd\u5386\u53f2\u7684\u5b58\u50a8\u548c\u5229\u7528<\/td>\n<td>\u4fdd\u6301\u5bf9\u8bdd\u8fde\u8d2f\u6027<\/td>\n<\/tr>\n<tr>\n<td>\u4e0a\u4e0b\u6587\u7a97\u53e3<\/td>\n<td>\u6a21\u578b\u4e00\u6b21\u80fd\u5904\u7406\u7684\u6700\u5927 Token \u6570<\/td>\n<td>\u8bb0\u5fc6\u5bb9\u91cf\u7684\u786c\u9650\u5236<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6a21\u6001<\/td>\n<td>\u878d\u5408\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u3001\u89c6\u9891<\/td>\n<td>\u8ba9 AI \u50cf\u4eba\u4e00\u6837\u7efc\u5408\u611f\u77e5<\/td>\n<\/tr>\n<tr>\n<td>Embedding<\/td>\n<td>\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u8bed\u4e49\u5411\u91cf<\/td>\n<td>\u8bed\u4e49\u641c\u7d22\u548c RAG \u7684\u57fa\u7840<\/td>\n<\/tr>\n<tr>\n<td>\u5411\u91cf\u6570\u636e\u5e93<\/td>\n<td>\u5b58\u50a8\u548c\u68c0\u7d22\u9ad8\u7ef4\u5411\u91cf<\/td>\n<td>RAG \u7684&#034;\u5b58\u50a8\u5f15\u64ce&#034;<\/td>\n<\/tr>\n<tr>\n<td>RAG<\/td>\n<td>\u68c0\u7d22\u5916\u90e8\u77e5\u8bc6\u5e93 &#043; \u751f\u6210\u7b54\u6848<\/td>\n<td>\u89e3\u51b3\u77e5\u8bc6\u8fc7\u65f6\u3001\u5e7b\u89c9\u3001\u79c1\u6709\u77e5\u8bc6\u95ee\u9898<\/td>\n<\/tr>\n<tr>\n<td>\u9884\u8bad\u7ec3<\/td>\n<td>\u5728\u6d77\u91cf\u6570\u636e\u4e0a\u5b66\u4e60&#034;\u4e0b\u4e00\u4e2a\u8bcd\u9884\u6d4b&#034;<\/td>\n<td>\u5927\u6a21\u578b\u7684\u57fa\u7840\u80fd\u529b\u6765\u6e90<\/td>\n<\/tr>\n<tr>\n<td>SFT<\/td>\n<td>\u7528\u9ad8\u8d28\u91cf\u6807\u6ce8\u6570\u636e\u5fae\u8c03<\/td>\n<td>\u8ba9\u6a21\u578b\u4ece&#034;\u7eed\u5199&#034;\u5207\u6362\u5230&#034;\u5bf9\u8bdd&#034;<\/td>\n<\/tr>\n<tr>\n<td>RLHF<\/td>\n<td>\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60<\/td>\n<td>\u8ba9\u6a21\u578b\u8f93\u51fa\u66f4\u7b26\u5408\u4eba\u7c7b\u504f\u597d<\/td>\n<\/tr>\n<tr>\n<td>DPO<\/td>\n<td>\u76f4\u63a5\u4ece\u504f\u597d\u6570\u636e\u4f18\u5316<\/td>\n<td>\u66f4\u7b80\u5355\u3001\u66f4\u7a33\u5b9a\u7684\u5bf9\u9f50\u65b9\u6cd5<\/td>\n<\/tr>\n<tr>\n<td>LoRA<\/td>\n<td>\u4f4e\u79e9\u9002\u914d\u5fae\u8c03<\/td>\n<td>\u5927\u5e45\u964d\u4f4e\u5fae\u8c03\u6210\u672c<\/td>\n<\/tr>\n<tr>\n<td>AI Agent<\/td>\n<td>\u81ea\u4e3b\u611f\u77e5\u3001\u89c4\u5212\u3001\u6267\u884c\u7684\u667a\u80fd\u4f53<\/td>\n<td>\u4ece&#034;\u95ee\u7b54&#034;\u5230&#034;\u5b8c\u6210\u4efb\u52a1&#034;\u7684\u8fdb\u5316<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u667a\u80fd\u4f53<\/td>\n<td>\u591a\u4e2a Agent \u534f\u4f5c\u5b8c\u6210\u590d\u6742\u4efb\u52a1<\/td>\n<td>\u5904\u7406\u5355\u4e2a Agent \u65e0\u6cd5\u5b8c\u6210\u7684\u590d\u6742\u4efb\u52a1<\/td>\n<\/tr>\n<tr>\n<td>\u5e7b\u89c9<\/td>\n<td>\u6a21\u578b\u751f\u6210\u770b\u4f3c\u5408\u7406\u4f46\u9519\u8bef\u7684\u5185\u5bb9<\/td>\n<td>AI \u5e94\u7528\u4e2d\u6700\u5371\u9669\u7684\u9677\u9631<\/td>\n<\/tr>\n<tr>\n<td>AI \u5bf9\u9f50<\/td>\n<td>\u786e\u4fdd AI \u884c\u4e3a\u7b26\u5408\u4eba\u7c7b\u4ef7\u503c\u89c2<\/td>\n<td>\u8ba9 AI \u5411\u5584\u7684\u6280\u672f\u57fa\u7840<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u9644\u5f55 A&#xff1a;\u5173\u952e\u8bcd\u4e2d\u82f1\u6587\u5bf9\u7167\u8868<\/h3>\n<table>\n<tr>\u4e2d\u6587\u82f1\u6587\u7f29\u5199<\/tr>\n<tbody>\n<tr>\n<td>\u4eba\u5de5\u667a\u80fd<\/td>\n<td>Artificial Intelligence<\/td>\n<td>AI<\/td>\n<\/tr>\n<tr>\n<td>\u673a\u5668\u5b66\u4e60<\/td>\n<td>Machine Learning<\/td>\n<td>ML<\/td>\n<\/tr>\n<tr>\n<td>\u6df1\u5ea6\u5b66\u4e60<\/td>\n<td>Deep Learning<\/td>\n<td>DL<\/td>\n<\/tr>\n<tr>\n<td>\u5927\u8bed\u8a00\u6a21\u578b<\/td>\n<td>Large Language Model<\/td>\n<td>LLM<\/td>\n<\/tr>\n<tr>\n<td>\u63d0\u793a\u8bcd<\/td>\n<td>Prompt<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u63d0\u793a\u8bcd\u5de5\u7a0b<\/td>\n<td>Prompt Engineering<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u8bcd\u5143<\/td>\n<td>Token<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u68c0\u7d22\u589e\u5f3a\u751f\u6210<\/td>\n<td>Retrieval Augmented Generation<\/td>\n<td>RAG<\/td>\n<\/tr>\n<tr>\n<td>\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/td>\n<td>Convolutional Neural Network<\/td>\n<td>CNN<\/td>\n<\/tr>\n<tr>\n<td>\u5faa\u73af\u795e\u7ecf\u7f51\u7edc<\/td>\n<td>Recurrent Neural Network<\/td>\n<td>RNN<\/td>\n<\/tr>\n<tr>\n<td>\u94fe\u5f0f\u601d\u8003<\/td>\n<td>Chain of Thought<\/td>\n<td>CoT<\/td>\n<\/tr>\n<tr>\n<td>\u5c11\u6837\u672c\u63d0\u793a<\/td>\n<td>Few-Shot Prompting<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u4e0a\u4e0b\u6587\u7a97\u53e3<\/td>\n<td>Context Window<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6a21\u6001<\/td>\n<td>Multimodal<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u5411\u91cf\u6570\u636e\u5e93<\/td>\n<td>Vector Database<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u5d4c\u5165<\/td>\n<td>Embedding<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u667a\u80fd\u4f53<\/td>\n<td>Agent<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u526f\u9a7e\u9a76<\/td>\n<td>Copilot<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u81ea\u6ce8\u610f\u529b<\/td>\n<td>Self-Attention<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u5934\u6ce8\u610f\u529b<\/td>\n<td>Multi-Head Attention<\/td>\n<td>MHA<\/td>\n<\/tr>\n<tr>\n<td>\u4f4d\u7f6e\u7f16\u7801<\/td>\n<td>Positional Encoding<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u76d1\u7763\u5fae\u8c03<\/td>\n<td>Supervised Fine-Tuning<\/td>\n<td>SFT<\/td>\n<\/tr>\n<tr>\n<td>\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60<\/td>\n<td>Reinforcement Learning from Human Feedback<\/td>\n<td>RLHF<\/td>\n<\/tr>\n<tr>\n<td>\u76f4\u63a5\u504f\u597d\u4f18\u5316<\/td>\n<td>Direct Preference Optimization<\/td>\n<td>DPO<\/td>\n<\/tr>\n<tr>\n<td>\u4f4e\u79e9\u9002\u914d<\/td>\n<td>Low-Rank Adaptation<\/td>\n<td>LoRA<\/td>\n<\/tr>\n<tr>\n<td>\u5e7b\u89c9<\/td>\n<td>Hallucination<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>AI \u5bf9\u9f50<\/td>\n<td>AI Alignment<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<tr>\n<td>\u7ea2\u961f\u6d4b\u8bd5<\/td>\n<td>Red Teaming<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u9644\u5f55 B&#xff1a;\u63a8\u8350\u5b66\u4e60\u8def\u5f84<\/h3>\n<p>\u5982\u679c\u8bfb\u5b8c\u8fd9\u7bc7\u6587\u7ae0\u540e&#xff0c;\u60f3\u8981\u6df1\u5165\u67d0\u4e2a\u65b9\u5411&#xff0c;\u4ee5\u4e0b\u662f\u63a8\u8350\u7684\u5b66\u4e60\u8def\u5f84&#xff1a;<\/p>\n<p>\u65b9\u5411\u4e00&#xff1a;AI \u5e94\u7528\u5f00\u53d1<\/p>\n<li>\u638c\u63e1 Prompt Engineering&#xff08;CO-STAR \u6846\u67b6\u3001CoT\u3001\u81ea\u6211\u4e00\u81f4\u6027&#xff09;<\/li>\n<li>\u5b66\u4e60\u81f3\u5c11\u4e00\u4e2a AI \u539f\u751f IDE&#xff08;Cursor\u3001Windsurf\u3001Trae&#xff09;<\/li>\n<li>\u7406\u89e3 RAG \u7684\u539f\u7406\u548c\u5b9e\u73b0&#xff08;LangChain \/ LlamaIndex&#xff09;<\/li>\n<li>\u5b66\u4e60 Agent \u5f00\u53d1&#xff08;OpenClaw\u3001LangGraph\u3001AutoGPT&#xff09;<\/li>\n<p>\u65b9\u5411\u4e8c&#xff1a;AI \u7b97\u6cd5\u7814\u7a76<\/p>\n<li>\u6df1\u5165\u7406\u89e3 Transformer \u67b6\u6784&#xff08;\u8bba\u6587\u300aAttention Is All You Need\u300b&#xff09;<\/li>\n<li>\u5b66\u4e60\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6&#xff08;PyTorch \/ TensorFlow&#xff09;<\/li>\n<li>\u7406\u89e3\u6a21\u578b\u8bad\u7ec3\u548c\u5fae\u8c03&#xff08;Fine-tuning\u3001RLHF\u3001DPO&#xff09;<\/li>\n<li>\u8ddf\u8fdb\u524d\u6cbf\u8bba\u6587&#xff08;arXiv\u3001ACL\u3001NeurIPS\u3001ICML&#xff09;<\/li>\n<p>\u65b9\u5411\u4e09&#xff1a;AI \u4ea7\u54c1\u8bbe\u8ba1<\/p>\n<li>\u7406\u89e3 LLM \u7684\u80fd\u529b\u8fb9\u754c&#xff08;\u4ec0\u4e48\u80fd\u505a\u3001\u4ec0\u4e48\u4e0d\u80fd\u505a&#xff09;<\/li>\n<li>\u5b66\u4e60 Prompt Engineering \u7684\u7cfb\u7edf\u5316\u65b9\u6cd5<\/li>\n<li>\u638c\u63e1 RAG \u7684\u4ea7\u54c1\u8bbe\u8ba1&#xff08;\u77e5\u8bc6\u5e93\u8bbe\u8ba1\u3001\u68c0\u7d22\u7b56\u7565\u3001\u7528\u6237\u4ea4\u4e92&#xff09;<\/li>\n<li>\u7406\u89e3 AI \u4ea7\u54c1\u7684\u5b89\u5168\u4e0e\u4f26\u7406&#xff08;\u5e7b\u89c9\u3001\u504f\u89c1\u3001\u9690\u79c1&#xff09;<\/li>\n<hr \/>\n<h3>Sources<\/h3>\n<li>OpenAI GPT-5.1 Documentation \u2014 GPT-5 \u7cfb\u5217\u6a21\u578b\u80fd\u529b\u4e0e API \u53c2\u8003<\/li>\n<li>Anthropic Claude Models Overview \u2014 Claude \u7cfb\u5217\u6a21\u578b\u6982\u89c8<\/li>\n<li>DeepSeek API Pricing \u2014 DeepSeek \u6a21\u578b API \u5b9a\u4ef7<\/li>\n<li>Google Gemini \u2014 Gemini \u591a\u6a21\u6001\u6a21\u578b<\/li>\n<li>Prompt Engineering Guide \u2014 CO-STAR \u6846\u67b6\u4e0e\u63d0\u793a\u8bcd\u5de5\u7a0b\u5168\u9762\u6307\u5357<\/li>\n<li>Chain-of-Thought Prompting Elicits Reasoning in Large Language Models \u2014 CoT \u8bba\u6587&#xff08;Google Research, 2022&#xff09;<\/li>\n<li>Self-Consistency Improves Chain of Thought Reasoning in Language Models \u2014 \u81ea\u6211\u4e00\u81f4\u6027\u8bba\u6587<\/li>\n<li>OpenAI Tokenizer \u2014 Token \u5206\u8bcd\u5668\u5728\u7ebf\u5de5\u5177<\/li>\n<li>LangChain Memory Documentation \u2014 \u4f1a\u8bdd\u8bb0\u5fc6\u5b9e\u73b0\u53c2\u8003<\/li>\n<li>Context Window in Large Language Models \u2014 \u4e0a\u4e0b\u6587\u7a97\u53e3\u7814\u7a76\u7efc\u8ff0<\/li>\n<li>GPT-4o Multimodal Capabilities \u2014 OpenAI \u591a\u6a21\u6001\u80fd\u529b\u4ecb\u7ecd<\/li>\n<li>Multimodal AI: A Survey \u2014 \u591a\u6a21\u6001 AI \u7efc\u8ff0<\/li>\n<li>Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks \u2014 RAG \u539f\u59cb\u8bba\u6587&#xff08;Meta AI, 2020&#xff09;<\/li>\n<li>LangChain RAG Documentation \u2014 RAG \u5b9e\u73b0\u6559\u7a0b<\/li>\n<li>Graph RAG: A Survey \u2014 Graph RAG \u6280\u672f\u7efc\u8ff0 (2024)<\/li>\n<li>Vibe Coding: The Rise of AI-Assisted Development \u2014 AI \u7f16\u7a0b\u8d8b\u52bf\u5206\u6790<\/li>\n<li>AI Index Report 2026 \u2014 Stanford HAI \u2014 2026 \u5e74 AI \u6280\u672f\u8bc4\u6d4b\u62a5\u544a&#xff0c;MMLU-Pro \u57fa\u51c6\u5206\u6570<\/li>\n<li>LLM Leaderboard Guide 2026 \u2014 2026 \u5e74 LLM \u6392\u884c\u699c\u4e0e\u8bc4\u6d4b\u6307\u5357<\/li>\n<li>LLM Sampling Parameters Explained 2026 \u2014 Temperature\u3001Top-P\u3001Top-K \u7b49\u91c7\u6837\u53c2\u6570\u8be6\u89e3<\/li>\n<li>Vector Databases and Embeddings Guide 2026 \u2014 \u5411\u91cf\u6570\u636e\u5e93\u4e0e Embedding \u6a21\u578b\u9009\u578b\u6307\u5357<\/li>\n<li>RLHF vs DPO 2026: Production Decision Framework \u2014 RLHF \u4e0e DPO \u5728\u751f\u4ea7\u73af\u5883\u4e2d\u7684\u9009\u62e9\u6846\u67b6<\/li>\n<li>Advanced Fine-Tuning Techniques for Multi-Agent Orchestration \u2014 AWS \u5fae\u8c03\u6280\u672f\u5b9e\u8df5<\/li>\n<li>Every Major AI Benchmark Explained 2026 \u2014 2026 \u5e74 AI \u8bc4\u6d4b\u57fa\u51c6\u5168\u9762\u89e3\u8bfb<\/li>\n<li>Best AI Agent Frameworks 2026: LangGraph vs CrewAI vs AutoGen \u2014 2026 \u5e74\u4e3b\u6d41 AI Agent \u6846\u67b6\u5bf9\u6bd4<\/li>\n<li>Detecting &amp; Mitigating Hallucinations in Generative AI \u2014 AI \u5e7b\u89c9\u68c0\u6d4b\u4e0e\u7f13\u89e3\u7b56\u7565<\/li>\n<li>The Ultimate Guide to AI Ethics and Responsible Use 2026 \u2014 AI \u4f26\u7406\u4e0e\u8d1f\u8d23\u4efb\u4f7f\u7528\u6307\u5357<\/li>\n<li>Claude Opus 4.6 \u6280\u672f\u5168\u89e3\u8bfb \u2014 Claude Opus 4.6 \u65b0\u7279\u6027\u8be6\u89e3<\/li>\n<li>Attention Is All You Need \u2014 Transformer \u539f\u59cb\u8bba\u6587&#xff08;Google, 2017&#xff09;<\/li>\n<li>\u4e2d\u56fd\u300a\u4eba\u5de5\u667a\u80fd\u5e94\u7528\u4f26\u7406\u5b89\u5168\u6307\u5f151.0\u300b \u2014 2026 \u5e74\u4e2d\u56fd AI \u4f26\u7406\u5b89\u5168\u6307\u5f15<\/li>\n<li>AI Safety 2026: The Race to Align Advanced AI Systems \u2014 AI \u5b89\u5168\u5bf9\u9f50\u6280\u672f\u8fdb\u5c55<\/li>\n","protected":false},"excerpt":{"rendered":"<p>\u4e00\u6587\u8bf4\u660e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684 20 \u4e2a\u6838\u5fc3\u6982\u5ff5 \u2014\u2014 \u4e0d\u53ea\u662f\u5b9a\u4e49&#xff0c;\u800c\u662f\u6df1\u5165\u7406\u89e3\u6bcf\u4e2a\u6982\u5ff5\u80cc\u540e\u7684\\&#8221;\u4e3a\u4ec0\u4e48\\&#8221; \u76ee\u5f55<br \/>\n\u5f15\u8a00&#xff1a;\u4e3a\u4ec0\u4e48\u9700\u8981\u7406\u89e3\u8fd9\u4e9b\u57fa\u7840\u6982\u5ff5\u4eba\u5de5\u667a\u80fd&#xff08;AI&#xff09;&#xff1a;\u6982\u5ff5\u3001\u672c\u8d28\u4e0e\u65e5\u5e38\u5e94\u7528AI \u53d1\u5c55\u7b80\u53f2&#xff1a;\u4ece\u56fe\u7075\u6d4b\u8bd5\u5230\u8d85\u7ea7\u667a\u80fd\u7684\u4e03\u5341\u5e74AI\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60&#xff1a;\u4e09\u5c42\u5173\u7cfb\u6df1\u5ea6\u62c6\u89e3Transformer \u67b6\u6784\u6df1\u5ea6\u89e3\u6790&#xff1a;\u5927\u8bed\u8a00\u6a21\u578b\u7684\\&#8221;\u53d1\u52a8\u673a\\&#8221;\u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM&amp;#xff09<\/p>\n","protected":false},"author":2,"featured_media":96897,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[2946,841,50],"topic":[],"class_list":["post-96905","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-prompt","tag-transformer","tag-50"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u6982\u5ff5\u5168\u666f\u89e3\u6790\uff1a\u4ece AI \u5230 Transformer\u3001LLM\u3001Prompt\u3001Token\u3001RAG\u3001Agent\u3001\u5bf9\u9f50\u4e0e\u5b89\u5168 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/96905.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u6982\u5ff5\u5168\u666f\u89e3\u6790\uff1a\u4ece AI \u5230 Transformer\u3001LLM\u3001Prompt\u3001Token\u3001RAG\u3001Agent\u3001\u5bf9\u9f50\u4e0e\u5b89\u5168 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u4e00\u6587\u8bf4\u660e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684 20 \u4e2a\u6838\u5fc3\u6982\u5ff5 \u2014\u2014 \u4e0d\u53ea\u662f\u5b9a\u4e49&#xff0c;\u800c\u662f\u6df1\u5165\u7406\u89e3\u6bcf\u4e2a\u6982\u5ff5\u80cc\u540e\u7684&quot;\u4e3a\u4ec0\u4e48&quot; \u76ee\u5f55 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