{"id":31150,"date":"2025-04-21T09:03:22","date_gmt":"2025-04-21T01:03:22","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/31150.html"},"modified":"2025-04-21T09:03:22","modified_gmt":"2025-04-21T01:03:22","slug":"ai%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e7%9a%84%e6%8a%80%e6%9c%af%e4%b9%8b%e4%ba%89%ef%bc%9adeepseek%e4%b8%8echatgpt%e7%9a%84%e6%9e%b6%e6%9e%84%e4%b8%8e%e8%ae%ad%e7%bb%83%e6%8f%ad%e7%a7%98","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/31150.html","title":{"rendered":"AI\u8bed\u8a00\u6a21\u578b\u7684\u6280\u672f\u4e4b\u4e89\uff1aDeepSeek\u4e0eChatGPT\u7684\u67b6\u6784\u4e0e\u8bad\u7ec3\u63ed\u79d8"},"content":{"rendered":"<p>\u4e91\u8fb9\u6709\u4e2a\u7a3b\u8349\u4eba-CSDN\u535a\u5ba2<\/p>\n<p id=\"main-toc\">\u76ee\u5f55<\/p>\n<p id=\"-toc\" style=\"margin-left:80px\">\n<p id=\"%E7%AC%AC%E4%B8%80%E7%AB%A0%EF%BC%9ADeepSeek%E4%B8%8EChatGPT%E7%9A%84%E5%9F%BA%E7%A1%80%E6%A6%82%E8%BF%B0-toc\" style=\"margin-left:80px\">\u7b2c\u4e00\u7ae0&#xff1a;DeepSeek\u4e0eChatGPT\u7684\u57fa\u7840\u6982\u8ff0<\/p>\n<p id=\"1.1%20DeepSeek%E7%AE%80%E4%BB%8B-toc\" style=\"margin-left:120px\">1.1 DeepSeek\u7b80\u4ecb<\/p>\n<p id=\"1.2%20ChatGPT%E7%AE%80%E4%BB%8B-toc\" style=\"margin-left:120px\">1.2 ChatGPT\u7b80\u4ecb<\/p>\n<p id=\"%E7%AC%AC%E4%BA%8C%E7%AB%A0%EF%BC%9A%E6%A8%A1%E5%9E%8B%E6%9E%B6%E6%9E%84%E5%AF%B9%E6%AF%94-toc\" style=\"margin-left:80px\">\u7b2c\u4e8c\u7ae0&#xff1a;\u6a21\u578b\u67b6\u6784\u5bf9\u6bd4<\/p>\n<p id=\"2.1%20Transformer%E6%9E%B6%E6%9E%84%EF%BC%9A%E6%A0%B8%E5%BF%83%E7%9B%B8%E4%BC%BC%E6%80%A7-toc\" style=\"margin-left:120px\">2.1 Transformer\u67b6\u6784&#xff1a;\u6838\u5fc3\u76f8\u4f3c\u6027<\/p>\n<p id=\"2.2%20%E6%A8%A1%E5%9E%8B%E8%A7%84%E6%A8%A1%E4%B8%8E%E5%8F%82%E6%95%B0-toc\" style=\"margin-left:120px\">2.2 \u6a21\u578b\u89c4\u6a21\u4e0e\u53c2\u6570<\/p>\n<p 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style=\"margin-left:80px\">\u7b2c\u56db\u7ae0&#xff1a;\u8bad\u7ec3\u6570\u636e\u4e0e\u5e94\u7528<\/p>\n<p id=\"4.1%20%E8%AE%AD%E7%BB%83%E6%95%B0%E6%8D%AE%E9%9B%86%EF%BC%9A%E6%95%B0%E6%8D%AE%E6%BA%90%E7%9A%84%E5%B7%AE%E5%BC%82-toc\" style=\"margin-left:120px\">4.1 \u8bad\u7ec3\u6570\u636e\u96c6&#xff1a;\u6570\u636e\u6e90\u7684\u5dee\u5f02<\/p>\n<p id=\"4.2%20%E7%89%B9%E5%AE%9A%E9%A2%86%E5%9F%9F%E4%BB%BB%E5%8A%A1%EF%BC%9A%E5%BA%94%E7%94%A8%E5%9C%BA%E6%99%AF%E7%9A%84%E5%B7%AE%E5%BC%82-toc\" style=\"margin-left:120px\">4.2 \u7279\u5b9a\u9886\u57df\u4efb\u52a1&#xff1a;\u5e94\u7528\u573a\u666f\u7684\u5dee\u5f02<\/p>\n<p id=\"%E7%AC%AC%E4%BA%94%E7%AB%A0%EF%BC%9A%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0%EF%BC%9ADeepSeek%E4%B8%8EChatGPT%E7%9A%84%E4%BB%A3%E7%A0%81%E5%AF%B9%E6%AF%94%E4%B8%8E%E5%AE%9E%E7%8E%B0-toc\" style=\"margin-left:80px\">\u7b2c\u4e94\u7ae0&#xff1a;\u4ee3\u7801\u5b9e\u73b0&#xff1a;DeepSeek\u4e0eChatGPT\u7684\u4ee3\u7801\u5bf9\u6bd4\u4e0e\u5b9e\u73b0<\/p>\n<p 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id=\"6.2%20%E6%9C%AA%E6%9D%A5%E5%B1%95%E6%9C%9B-toc\" style=\"margin-left:120px\">6.2 \u672a\u6765\u5c55\u671b<\/p>\n<hr id=\"hr-toc\" \/>\n<h4 id=\"%E7%AC%AC%E4%B8%80%E7%AB%A0%EF%BC%9ADeepSeek%E4%B8%8EChatGPT%E7%9A%84%E5%9F%BA%E7%A1%80%E6%A6%82%E8%BF%B0\">\u7b2c\u4e00\u7ae0&#xff1a;DeepSeek\u4e0eChatGPT\u7684\u57fa\u7840\u6982\u8ff0<\/h4>\n<h5 id=\"1.1%20DeepSeek%E7%AE%80%E4%BB%8B\">1.1 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id=\"2.2%20%E6%A8%A1%E5%9E%8B%E8%A7%84%E6%A8%A1%E4%B8%8E%E5%8F%82%E6%95%B0\">2.2 \u6a21\u578b\u89c4\u6a21\u4e0e\u53c2\u6570<\/h5>\n<ul>\n<li>\n<p>ChatGPT&#xff1a;OpenAI\u7684GPT-3\u6a21\u578b\u5305\u542b\u4e86\u7ea61750\u4ebf\u4e2a\u53c2\u6570&#xff0c;\u800cGPT-4\u5219\u8fdb\u4e00\u6b65\u6269\u5c55&#xff0c;\u62e5\u6709\u6570\u4e07\u4ebf\u4e2a\u53c2\u6570\u3002\u5982\u6b64\u5e9e\u5927\u7684\u53c2\u6570\u91cf\u4f7f\u5f97ChatGPT\u80fd\u591f\u5728\u5904\u7406\u590d\u6742\u8bed\u8a00\u4efb\u52a1\u65f6\u5c55\u73b0\u51fa\u8d85\u4e4e\u5bfb\u5e38\u7684\u80fd\u529b&#xff0c;\u4f46\u540c\u65f6\u4e5f\u4f7f\u5f97\u6a21\u578b\u7684\u8ba1\u7b97\u8d44\u6e90\u9700\u6c42\u6781\u4e3a\u5e9e\u5927\u3002<\/p>\n<\/li>\n<li>\n<p>DeepSeek&#xff1a;DeepSeek\u7684\u9996\u4e2a\u7248\u672c\u2014\u2014DeepSeek-R1&#xff0c;\u53c2\u6570\u91cf\u867d\u7136\u76f8\u5bf9\u8f83\u5c0f&#xff0c;\u4f46\u5176\u5728\u591a\u4efb\u52a1\u63a8\u7406\u4e0a\u7684\u4f18\u5316\u8bbe\u8ba1\u4f7f\u5f97\u5b83\u5728\u5904\u7406\u7279\u5b9a\u9886\u57df\u4efb\u52a1\u65f6\u66f4\u52a0\u9ad8\u6548\u3002DeepSeek\u7684\u76ee\u6807\u5e76\u975e\u5355\u7eaf\u8ffd\u6c42\u53c2\u6570\u7684\u6570\u91cf&#xff0c;\u800c\u662f\u5728\u63a8\u7406\u80fd\u529b\u4e0a\u901a\u8fc7\u9ad8\u6548\u7684\u8ba1\u7b97\u67b6\u6784\u548c\u6570\u636e\u538b\u7f29\u6280\u672f\u6765\u63d0\u5347\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4 id=\"%E7%AC%AC%E4%B8%89%E7%AB%A0%EF%BC%9A%E8%AE%AD%E7%BB%83%E6%96%B9%E6%B3%95%E4%B8%8E%E6%8A%80%E6%9C%AF\">\u7b2c\u4e09\u7ae0&#xff1a;\u8bad\u7ec3\u65b9\u6cd5\u4e0e\u6280\u672f<\/h4>\n<h5 id=\"3.1%20%E9%A2%84%E8%AE%AD%E7%BB%83%E4%B8%8E%E5%BE%AE%E8%B0%83%EF%BC%9A%E5%9F%BA%E7%A1%80%E8%AE%AD%E7%BB%83%E6%96%B9%E6%B3%95\">3.1 \u9884\u8bad\u7ec3\u4e0e\u5fae\u8c03&#xff1a;\u57fa\u7840\u8bad\u7ec3\u65b9\u6cd5<\/h5>\n<ul>\n<li>\n<p>ChatGPT\u7684\u8bad\u7ec3\u65b9\u6cd5&#xff1a;GPT\u7cfb\u5217\u7684\u8bad\u7ec3\u8fc7\u7a0b\u5206\u4e3a\u9884\u8bad\u7ec3\u548c\u5fae\u8c03\u4e24\u4e2a\u9636\u6bb5\u3002\u5728\u9884\u8bad\u7ec3\u9636\u6bb5&#xff0c;ChatGPT\u901a\u8fc7\u6d77\u91cf\u7684\u65e0\u76d1\u7763\u6570\u636e\u5b66\u4e60\u8bed\u8a00\u7684\u57fa\u672c\u7ed3\u6784\u548c\u89c4\u5f8b\u3002\u901a\u8fc7\u4f7f\u7528\u5927\u89c4\u6a21\u7684\u4e92\u8054\u7f51\u6587\u672c\u6570\u636e&#xff0c;GPT\u6a21\u578b\u80fd\u591f\u7406\u89e3\u8bcd\u6c47\u3001\u8bed\u6cd5\u53ca\u66f4\u590d\u6742\u7684\u8bed\u4e49\u4fe1\u606f\u3002\u5728\u5fae\u8c03\u9636\u6bb5&#xff0c;GPT\u6839\u636e\u4e0d\u540c\u7684\u4efb\u52a1\u8fdb\u884c\u5b9a\u5411\u8bad\u7ec3&#xff0c;\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u6839\u636e\u7279\u5b9a\u7684\u4efb\u52a1\u8fdb\u884c\u4f18\u5316\u548c\u8c03\u6574\u3002<\/p>\n<\/li>\n<li>\n<p>DeepSeek\u7684\u8bad\u7ec3\u65b9\u6cd5&#xff1a;DeepSeek\u540c\u6837\u4f7f\u7528\u4e86\u9884\u8bad\u7ec3\u4e0e\u5fae\u8c03\u7684\u8bad\u7ec3\u7b56\u7565&#xff0c;\u4f46\u5b83\u7279\u522b\u6ce8\u91cd\u63a8\u7406\u4efb\u52a1\u7684\u8bad\u7ec3\u3002DeepSeek-R1\u5728\u9884\u8bad\u7ec3\u9636\u6bb5\u878d\u5408\u4e86\u5f3a\u5316\u5b66\u4e60\u6280\u672f&#xff0c;\u4f7f\u5f97\u5b83\u80fd\u591f\u5728\u591a\u4efb\u52a1\u63a8\u7406\u573a\u666f\u4e0b\u5feb\u901f\u9002\u5e94\u5404\u79cd\u590d\u6742\u95ee\u9898\u7684\u89e3\u7b54\u3002\u8fd9\u4f7f\u5f97DeepSeek\u5728\u4e00\u4e9b\u63a8\u7406\u4efb\u52a1&#xff08;\u5982\u6570\u5b66\u95ee\u9898\u3001\u903b\u8f91\u63a8\u7406\u7b49&#xff09;\u4e0a\u5177\u5907\u66f4\u5f3a\u7684\u5e94\u5bf9\u80fd\u529b\u3002<\/p>\n<\/li>\n<\/ul>\n<h5 id=\"3.2%20%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0%E4%B8%8E%E5%A5%96%E5%8A%B1%E5%BB%BA%E6%A8%A1\">3.2 \u5f3a\u5316\u5b66\u4e60\u4e0e\u5956\u52b1\u5efa\u6a21<\/h5>\n<ul>\n<li>\n<p>ChatGPT&#xff1a;OpenAI\u5728\u8bad\u7ec3GPT-4\u65f6\u91c7\u7528\u4e86\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5&#xff0c;\u901a\u8fc7\u4e0e\u4eba\u7c7b\u53cd\u9988&#xff08;RLHF&#xff1a;Reinforcement Learning with Human Feedback&#xff09;\u7684\u7ed3\u5408\u6765\u4f18\u5316\u6a21\u578b\u7684\u751f\u6210\u6548\u679c\u3002\u8be5\u65b9\u6cd5\u901a\u8fc7\u4eba\u5de5\u6807\u6ce8\u548c\u81ea\u52a8\u8bc4\u5206\u7684\u65b9\u5f0f&#xff0c;\u4f7f\u5f97\u6a21\u578b\u5728\u751f\u6210\u6587\u672c\u65f6\u66f4\u52a0\u7b26\u5408\u4eba\u7c7b\u504f\u597d\u3002<\/p>\n<\/li>\n<li>\n<p>DeepSeek&#xff1a;DeepSeek\u5219\u901a\u8fc7\u66f4\u52a0\u7cbe\u7ec6\u7684\u5956\u52b1\u5efa\u6a21&#xff0c;\u4f18\u5316\u4e86\u6a21\u578b\u7684\u63a8\u7406\u8fc7\u7a0b\u3002\u5c24\u5176\u5728\u89e3\u51b3\u590d\u6742\u7684\u63a8\u7406\u95ee\u9898\u65f6&#xff0c;DeepSeek\u80fd\u591f\u901a\u8fc7\u52a8\u6001\u8c03\u6574\u5956\u52b1\u51fd\u6570&#xff0c;\u63d0\u5347\u63a8\u7406\u7684\u51c6\u786e\u6027\u548c\u6548\u7387\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f&#xff0c;DeepSeek\u5728\u6267\u884c\u9ad8\u7ea7\u63a8\u7406\u4efb\u52a1\u65f6\u80fd\u591f\u63d0\u4f9b\u66f4\u5177\u9488\u5bf9\u6027\u7684\u8f93\u51fa\u3002<\/p>\n<\/li>\n<\/ul>\n<h5 id=\"3.3%20%E7%9F%A5%E8%AF%86%E8%92%B8%E9%A6%8F%E4%B8%8E%E9%87%8F%E5%8C%96%E6%8A%80%E6%9C%AF\">3.3 \u77e5\u8bc6\u84b8\u998f\u4e0e\u91cf\u5316\u6280\u672f<\/h5>\n<ul>\n<li>\n<p>ChatGPT&#xff1a;ChatGPT\u7684\u8bad\u7ec3\u8fc7\u7a0b\u5e76\u672a\u5927\u91cf\u4f9d\u8d56\u77e5\u8bc6\u84b8\u998f\u6280\u672f&#xff0c;\u4e3b\u8981\u4f9d\u8d56\u4e8e\u5927\u89c4\u6a21\u7684\u65e0\u76d1\u7763\u5b66\u4e60&#xff0c;\u5e76\u901a\u8fc7\u5fae\u8c03\u4f18\u5316\u6a21\u578b\u5728\u7279\u5b9a\u9886\u57df\u7684\u8868\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p>DeepSeek&#xff1a;DeepSeek\u5728\u6a21\u578b\u8bad\u7ec3\u4e2d\u91c7\u7528\u4e86\u77e5\u8bc6\u84b8\u998f\u6280\u672f&#xff0c;\u8fd9\u4e00\u6280\u672f\u5e2e\u52a9\u6a21\u578b\u4ece\u591a\u4e2a\u5b50\u6a21\u578b\u4e2d\u63d0\u53d6\u5e76\u878d\u5408\u77e5\u8bc6&#xff0c;\u4ece\u800c\u52a0\u901f\u4e86\u8bad\u7ec3\u8fc7\u7a0b&#xff0c;\u5e76\u4e14\u5728\u4e00\u4e9b\u7279\u5b9a\u4efb\u52a1\u4e0a\u8868\u73b0\u5f97\u66f4\u52a0\u9ad8\u6548\u3002\u4f8b\u5982&#xff0c;DeepSeek\u5728\u8fdb\u884c\u6570\u5b66\u95ee\u9898\u63a8\u7406\u65f6&#xff0c;\u80fd\u591f\u901a\u8fc7\u84b8\u998f\u6280\u672f\u5c06\u591a\u4e2a\u63a8\u7406\u6a21\u578b\u7684\u77e5\u8bc6\u8fdb\u884c\u5408\u5e76&#xff0c;\u63d0\u9ad8\u4e86\u51c6\u786e\u5ea6\u548c\u6548\u7387\u3002<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4 id=\"%E7%AC%AC%E5%9B%9B%E7%AB%A0%EF%BC%9A%E8%AE%AD%E7%BB%83%E6%95%B0%E6%8D%AE%E4%B8%8E%E5%BA%94%E7%94%A8\">\u7b2c\u56db\u7ae0&#xff1a;\u8bad\u7ec3\u6570\u636e\u4e0e\u5e94\u7528<\/h4>\n<h5 id=\"4.1%20%E8%AE%AD%E7%BB%83%E6%95%B0%E6%8D%AE%E9%9B%86%EF%BC%9A%E6%95%B0%E6%8D%AE%E6%BA%90%E7%9A%84%E5%B7%AE%E5%BC%82\">4.1 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id=\"4.2%20%E7%89%B9%E5%AE%9A%E9%A2%86%E5%9F%9F%E4%BB%BB%E5%8A%A1%EF%BC%9A%E5%BA%94%E7%94%A8%E5%9C%BA%E6%99%AF%E7%9A%84%E5%B7%AE%E5%BC%82\">4.2 \u7279\u5b9a\u9886\u57df\u4efb\u52a1&#xff1a;\u5e94\u7528\u573a\u666f\u7684\u5dee\u5f02<\/h5>\n<ul>\n<li>\n<p>ChatGPT&#xff1a;ChatGPT\u64c5\u957f\u751f\u6210\u6d41\u7545\u7684\u5bf9\u8bdd\u6587\u672c&#xff0c;\u5728\u5ba2\u6237\u670d\u52a1\u3001\u6559\u80b2\u8f85\u5bfc\u3001\u5185\u5bb9\u521b\u4f5c\u7b49\u9886\u57df\u90fd\u6709\u7740\u5e7f\u6cdb\u5e94\u7528\u3002\u5176\u751f\u6210\u7684\u6587\u672c\u53ef\u4ee5\u6db5\u76d6\u4ece\u65e5\u5e38\u5bf9\u8bdd\u5230\u4e13\u4e1a\u77e5\u8bc6\u7684\u591a\u4e2a\u9886\u57df\u3002<\/p>\n<\/li>\n<li>\n<p>DeepSeek&#xff1a;DeepSeek\u5728\u63a8\u7406\u3001\u6570\u636e\u89e3\u6790\u548c\u95ee\u9898\u89e3\u7b54\u7b49\u9886\u57df\u5177\u6709\u4f18\u52bf\u3002\u5176\u5728\u6570\u5b66\u3001\u903b\u8f91\u63a8\u7406\u3001\u79d1\u5b66\u7814\u7a76\u7b49\u4e13\u4e1a\u9886\u57df\u7684\u5e94\u7528\u573a\u666f\u8868\u73b0\u4f18\u8d8a\u3002<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4 id=\"%E7%AC%AC%E4%BA%94%E7%AB%A0%EF%BC%9A%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0%EF%BC%9ADeepSeek%E4%B8%8EChatGPT%E7%9A%84%E4%BB%A3%E7%A0%81%E5%AF%B9%E6%AF%94%E4%B8%8E%E5%AE%9E%E7%8E%B0\">\u7b2c\u4e94\u7ae0&#xff1a;\u4ee3\u7801\u5b9e\u73b0&#xff1a;DeepSeek\u4e0eChatGPT\u7684\u4ee3\u7801\u5bf9\u6bd4\u4e0e\u5b9e\u73b0<\/h4>\n<p>\u6211\u4eec\u5c06\u4ece\u4e24\u4e2a\u65b9\u9762\u5c55\u793a\u4ee3\u7801&#xff1a;<\/p>\n<li>\u6a21\u578b\u7684\u52a0\u8f7d\u4e0e\u63a8\u7406&#xff1a; \u5982\u4f55\u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\u5e76\u4f7f\u7528\u5176\u8fdb\u884c\u63a8\u7406\u3002<\/li>\n<li>\u81ea\u5b9a\u4e49\u8bad\u7ec3&#xff1a; \u57fa\u4e8e\u7b80\u5355\u7684\u6587\u672c\u6570\u636e\u96c6\u5bf9\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3&#xff0c;\u5e76\u8fdb\u884c\u63a8\u7406\u3002<\/li>\n<h5 id=\"5.1%20%E5%8A%A0%E8%BD%BD%E9%A2%84%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B%E5%B9%B6%E8%BF%9B%E8%A1%8C%E6%8E%A8%E7%90%86\">5.1 \u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\u5e76\u8fdb\u884c\u63a8\u7406<\/h5>\n<p>\u9996\u5148&#xff0c;\u6211\u4eec\u5c55\u793a\u5982\u4f55\u52a0\u8f7d\u9884\u8bad\u7ec3\u7684GPT-2\u6a21\u578b&#xff0c;\u8fdb\u884c\u7b80\u5355\u7684\u6587\u672c\u751f\u6210\u4efb\u52a1\u3002\u7136\u540e\u518d\u6269\u5c55\u8fd9\u4e2a\u529f\u80fd&#xff0c;\u4ee5\u4fbf\u9002\u914d\u66f4\u590d\u6742\u7684\u4efb\u52a1\u3002<\/p>\n<p>import torch<br \/>\nfrom transformers import GPT2LMHeadModel, GPT2Tokenizer<\/p>\n<p># \u52a0\u8f7d\u9884\u8bad\u7ec3GPT-2\u6a21\u578b<br \/>\nmodel &#061; GPT2LMHeadModel.from_pretrained(&#039;gpt2&#039;)<br \/>\ntokenizer &#061; GPT2Tokenizer.from_pretrained(&#039;gpt2&#039;)<\/p>\n<p># \u8f93\u5165\u6587\u672c<br \/>\ninput_text &#061; &#034;DeepSeek\u548cChatGPT\u5728\u6a21\u578b\u67b6\u6784\u4e0e\u8bad\u7ec3\u65b9\u9762\u7684\u5dee\u5f02&#034;<br \/>\ninputs &#061; tokenizer(input_text, return_tensors&#061;&#034;pt&#034;)<\/p>\n<p># \u6a21\u578b\u63a8\u7406\u751f\u6210\u6587\u672c<br \/>\noutputs &#061; model.generate(inputs[&#039;input_ids&#039;], max_length&#061;100, num_return_sequences&#061;3, no_repeat_ngram_size&#061;2)<\/p>\n<p># \u8f93\u51fa\u751f\u6210\u7684\u6587\u672c<br \/>\nfor i, output in enumerate(outputs):<br \/>\n    print(f&#034;\u751f\u6210\u7684\u6587\u672c {i&#043;1}:\\\\n{tokenizer.decode(output, skip_special_tokens&#061;True)}\\\\n&#034;)<\/p>\n<p>\u89e3\u91ca&#xff1a;<\/p>\n<ul>\n<li>\u6a21\u578b\u52a0\u8f7d&#xff1a;\u6211\u4eec\u4f7f\u7528GPT2LMHeadModel.from_pretrained(&#039;gpt2&#039;)\u52a0\u8f7d\u9884\u8bad\u7ec3\u7684GPT-2\u6a21\u578b&#xff0c;GPT2Tokenizer.from_pretrained(&#039;gpt2&#039;)\u52a0\u8f7d\u76f8\u5e94\u7684\u5206\u8bcd\u5668\u3002<\/li>\n<li>\u6587\u672c\u751f\u6210&#xff1a;model.generate\u65b9\u6cd5\u7528\u4e8e\u751f\u6210\u6587\u672c&#xff0c;\u6211\u4eec\u901a\u8fc7\u8bbe\u7f6enum_return_sequences&#061;3\u6765\u751f\u6210\u4e09\u79cd\u4e0d\u540c\u7684\u6587\u672c\u3002<\/li>\n<li>\u907f\u514d\u91cd\u590d&#xff1a;\u901a\u8fc7no_repeat_ngram_size&#061;2\u907f\u514d\u751f\u6210\u6587\u672c\u4e2d\u91cd\u590d\u7684\u4e8c\u5143\u7ec4&#xff08;bigrams&#xff09;&#xff0c;\u63d0\u5347\u751f\u6210\u6587\u672c\u7684\u591a\u6837\u6027\u3002<\/li>\n<\/ul>\n<h5 id=\"5.2%20%E8%AE%AD%E7%BB%83%E6%A8%A1%E5%9E%8B%E5%B9%B6%E8%BF%9B%E8%A1%8C%E6%8E%A8%E7%90%86\">5.2 \u8bad\u7ec3\u6a21\u578b\u5e76\u8fdb\u884c\u63a8\u7406<\/h5>\n<p>\u63a5\u4e0b\u6765&#xff0c;\u6211\u4eec\u5c06\u5c55\u793a\u5982\u4f55\u57fa\u4e8e\u4e00\u4e2a\u7b80\u5355\u7684\u6587\u672c\u6570\u636e\u96c6\u5bf9\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\u3002\u8fd9\u91cc\u6211\u4eec\u5c06\u4f7f\u7528\u4e00\u4e2a\u7b80\u5355\u7684\u5fae\u8c03\u8fc7\u7a0b&#xff0c;\u5c55\u793a\u5982\u4f55\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n<p>\u6570\u636e\u51c6\u5907\u4e0e\u9884\u5904\u7406<\/p>\n<p>\u4e3a\u4e86\u6f14\u793a\u8bad\u7ec3&#xff0c;\u6211\u4eec\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u6587\u672c\u6570\u636e\u96c6&#xff0c;\u5e76\u5c06\u5176\u8f6c\u5316\u4e3a\u9002\u5408GPT\u6a21\u578b\u8bad\u7ec3\u7684\u683c\u5f0f\u3002\u6211\u4eec\u5c06\u4f7f\u7528\u4e00\u4e2a\u7b80\u5355\u7684\u53e5\u5b50\u96c6\u5408\u8fdb\u884c\u8bad\u7ec3&#xff0c;\u9002\u5e94\u8fd9\u4e00\u8bad\u7ec3\u6b65\u9aa4\u3002<\/p>\n<p>from transformers import GPT2LMHeadModel, GPT2Tokenizer, AdamW<br \/>\nimport torch<br \/>\nfrom torch.utils.data import Dataset, DataLoader<\/p>\n<p># \u5b9a\u4e49\u8bad\u7ec3\u6570\u636e\u96c6<br \/>\nclass SimpleTextDataset(Dataset):<br \/>\n    def __init__(self, texts, tokenizer, max_length&#061;512):<br \/>\n        self.texts &#061; texts<br \/>\n        self.tokenizer &#061; tokenizer<br \/>\n        self.max_length &#061; max_length<\/p>\n<p>    def __len__(self):<br \/>\n        return len(self.texts)<\/p>\n<p>    def __getitem__(self, idx):<br \/>\n        text &#061; self.texts[idx]<br \/>\n        encoding &#061; self.tokenizer(text, truncation&#061;True, padding&#061;&#039;max_length&#039;, max_length&#061;self.max_length, return_tensors&#061;&#034;pt&#034;)<br \/>\n        return encoding.input_ids.squeeze(), encoding.attention_mask.squeeze()<\/p>\n<p># \u793a\u4f8b\u6570\u636e\u96c6<br \/>\ntexts &#061; [<br \/>\n    &#034;DeepSeek\u662f\u4e00\u79cd\u65b0\u578bAI\u6a21\u578b\u3002&#034;,<br \/>\n    &#034;ChatGPT\u5728\u5bf9\u8bdd\u751f\u6210\u65b9\u9762\u8868\u73b0\u4f18\u5f02\u3002&#034;,<br \/>\n    &#034;GPT\u6a21\u578b\u901a\u8fc7\u5927\u89c4\u6a21\u7684\u65e0\u76d1\u7763\u5b66\u4e60\u8bad\u7ec3\u3002&#034;,<br \/>\n    &#034;AI\u6280\u672f\u5728\u591a\u9886\u57df\u6709\u5e7f\u6cdb\u5e94\u7528\u3002&#034;<br \/>\n]<\/p>\n<p># \u52a0\u8f7d\u9884\u8bad\u7ec3\u7684tokenizer<br \/>\ntokenizer &#061; GPT2Tokenizer.from_pretrained(&#039;gpt2&#039;)<\/p>\n<p># \u51c6\u5907\u6570\u636e\u96c6\u548c\u6570\u636e\u52a0\u8f7d\u5668<br \/>\ndataset &#061; SimpleTextDataset(texts, tokenizer)<br \/>\ndataloader &#061; DataLoader(dataset, batch_size&#061;2, shuffle&#061;True)<\/p>\n<p># \u52a0\u8f7d\u9884\u8bad\u7ec3GPT-2\u6a21\u578b<br \/>\nmodel &#061; GPT2LMHeadModel.from_pretrained(&#039;gpt2&#039;)<br \/>\noptimizer &#061; AdamW(model.parameters(), lr&#061;1e-5)<\/p>\n<p>\u8bad\u7ec3\u8fc7\u7a0b<\/p>\n<p>\u5728\u6b64\u4ee3\u7801\u6bb5\u4e2d&#xff0c;\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u8bad\u7ec3\u5faa\u73af&#xff0c;\u5c55\u793a\u5982\u4f55\u7528\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u5bf9GPT-2\u8fdb\u884c\u5fae\u8c03\u3002<\/p>\n<p># \u5b9a\u4e49\u8bad\u7ec3\u51fd\u6570<br \/>\ndef train(model, dataloader, optimizer, epochs&#061;3):<br \/>\n    model.train()  # \u5207\u6362\u5230\u8bad\u7ec3\u6a21\u5f0f<br \/>\n    for epoch in range(epochs):<br \/>\n        total_loss &#061; 0<br \/>\n        for batch_idx, (input_ids, attention_mask) in enumerate(dataloader):<br \/>\n            optimizer.zero_grad()<br \/>\n            input_ids, attention_mask &#061; input_ids.to(device), attention_mask.to(device)<\/p>\n<p>            # \u524d\u5411\u4f20\u64ad<br \/>\n            outputs &#061; model(input_ids, attention_mask&#061;attention_mask, labels&#061;input_ids)<br \/>\n            loss &#061; outputs.loss<br \/>\n            total_loss &#043;&#061; loss.item()<\/p>\n<p>            # \u53cd\u5411\u4f20\u64ad\u548c\u4f18\u5316<br \/>\n            loss.backward()<br \/>\n            optimizer.step()<\/p>\n<p>        avg_loss &#061; total_loss \/ len(dataloader)<br \/>\n        print(f&#034;Epoch [{epoch&#043;1}\/{epochs}], Loss: {avg_loss:.4f}&#034;)<\/p>\n<p># \u8bbe\u7f6e\u8bbe\u5907\u4e3aGPU<br \/>\ndevice &#061; torch.device(&#039;cuda&#039; if torch.cuda.is_available() else &#039;cpu&#039;)<br \/>\nmodel.to(device)<\/p>\n<p># \u8bad\u7ec3\u6a21\u578b<br \/>\ntrain(model, dataloader, optimizer, epochs&#061;3)<\/p>\n<p>\u89e3\u91ca&#xff1a;<\/p>\n<ul>\n<li>\u6570\u636e\u96c6\u4e0e\u6570\u636e\u52a0\u8f7d\u5668&#xff1a;\u6211\u4eec\u9996\u5148\u5b9a\u4e49\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6570\u636e\u96c6\u7c7bSimpleTextDataset&#xff0c;\u5e76\u5c06\u6587\u672c\u6570\u636e\u96c6\u8f6c\u5316\u4e3a\u9002\u5408GPT\u6a21\u578b\u7684\u683c\u5f0f\u3002\u6211\u4eec\u4f7f\u7528DataLoader\u6765\u6279\u91cf\u52a0\u8f7d\u6570\u636e\u3002<\/li>\n<li>\u8bad\u7ec3\u5faa\u73af&#xff1a;\u5728train\u51fd\u6570\u4e2d&#xff0c;\u6211\u4eec\u5b9e\u73b0\u4e86\u6807\u51c6\u7684\u8bad\u7ec3\u6d41\u7a0b\u3002\u6bcf\u4e00\u8f6e\u8bad\u7ec3\u4f1a\u8ba1\u7b97\u6a21\u578b\u7684\u635f\u5931&#xff0c;\u5e76\u901a\u8fc7\u53cd\u5411\u4f20\u64ad\u548c\u4f18\u5316\u5668&#xff08;AdamW&#xff09;\u66f4\u65b0\u6a21\u578b\u7684\u53c2\u6570\u3002<\/li>\n<\/ul>\n<h5 id=\"5.3%20%E6%8E%A8%E7%90%86%E4%B8%8E%E8%AF%84%E4%BC%B0\">5.3 \u63a8\u7406\u4e0e\u8bc4\u4f30<\/h5>\n<p>\u8bad\u7ec3\u5b8c\u6210\u540e&#xff0c;\u6211\u4eec\u53ef\u4ee5\u5bf9\u6a21\u578b\u8fdb\u884c\u63a8\u7406\u548c\u8bc4\u4f30&#xff0c;\u68c0\u67e5\u5b83\u5728\u67d0\u4e9b\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u3002<\/p>\n<p># \u751f\u6210\u6587\u672c<br \/>\ndef generate_text(model, tokenizer, prompt, max_length&#061;100):<br \/>\n    model.eval()  # \u5207\u6362\u5230\u8bc4\u4f30\u6a21\u5f0f<br \/>\n    inputs &#061; tokenizer(prompt, return_tensors&#061;&#034;pt&#034;)<br \/>\n    input_ids &#061; inputs[&#039;input_ids&#039;].to(device)<\/p>\n<p>    # \u751f\u6210\u6587\u672c<br \/>\n    outputs &#061; model.generate(input_ids, max_length&#061;max_length, num_return_sequences&#061;1)<br \/>\n    generated_text &#061; tokenizer.decode(outputs[0], skip_special_tokens&#061;True)<br \/>\n    return generated_text<\/p>\n<p># \u8fdb\u884c\u6587\u672c\u751f\u6210<br \/>\nprompt &#061; &#034;\u5728AI\u6280\u672f\u7684\u672a\u6765\u53d1\u5c55\u4e2d&#xff0c;&#034;<br \/>\ngenerated_text &#061; generate_text(model, tokenizer, prompt)<br \/>\nprint(f&#034;\u751f\u6210\u7684\u6587\u672c:\\\\n{generated_text}&#034;)<\/p>\n<p>\u89e3\u91ca&#xff1a;<\/p>\n<ul>\n<li>\u63a8\u7406\u8fc7\u7a0b&#xff1a;\u5728\u63a8\u7406\u65f6&#xff0c;\u6211\u4eec\u5c06\u6a21\u578b\u5207\u6362\u5230\u8bc4\u4f30\u6a21\u5f0fmodel.eval()&#xff0c;\u7136\u540e\u4f7f\u7528model.generate()\u751f\u6210\u65b0\u7684\u6587\u672c\u3002\u901a\u8fc7\u7ed9\u5b9a\u4e00\u4e2a\u521d\u59cb\u7684prompt&#xff0c;\u6a21\u578b\u5c06\u6839\u636e\u8be5\u63d0\u793a\u751f\u6210\u540e\u7eed\u7684\u6587\u672c\u3002<\/li>\n<\/ul>\n<h4 id=\"\"><\/h4>\n<h4 id=\"%E7%AC%AC%E5%85%AD%E7%AB%A0%EF%BC%9A%E6%80%BB%E7%BB%93%E4%B8%8E%E5%B1%95%E6%9C%9B\">\u7b2c\u516d\u7ae0&#xff1a;\u603b\u7ed3\u4e0e\u5c55\u671b<\/h4>\n<h5 id=\"6.1%20%E4%B8%BB%E8%A6%81%E5%8C%BA%E5%88%AB%E6%80%BB%E7%BB%93\">6.1 \u4e3b\u8981\u533a\u522b\u603b\u7ed3<\/h5>\n<p>\u901a\u8fc7\u672c\u7bc7\u6587\u7ae0\u7684\u5206\u6790&#xff0c;\u6211\u4eec\u53ef\u4ee5\u770b\u5230DeepSeek\u4e0eChatGPT\u5728\u6a21\u578b\u67b6\u6784\u3001\u8bad\u7ec3\u65b9\u6cd5\u4ee5\u53ca\u5e94\u7528\u573a\u666f\u65b9\u9762\u6709\u8bf8\u591a\u5dee\u5f02\u3002DeepSeek\u5728\u63a8\u7406\u80fd\u529b\u548c\u77e5\u8bc6\u84b8\u998f\u7b49\u65b9\u9762\u8fdb\u884c\u4e86\u591a\u9879\u521b\u65b0&#xff0c;\u4f7f\u5176\u5728\u5904\u7406\u590d\u6742\u4efb\u52a1\u65f6\u5177\u6709\u72ec\u7279\u4f18\u52bf\u3002\u800cChatGPT\u5219\u901a\u8fc7\u5176\u5f3a\u5927\u7684\u6587\u672c\u751f\u6210\u80fd\u529b&#xff0c;\u6210\u4e3a\u4e86\u81ea\u7136\u8bed\u8a00\u751f\u6210\u7684\u6807\u51c6\u3002<\/p>\n<h5 id=\"6.2%20%E6%9C%AA%E6%9D%A5%E5%B1%95%E6%9C%9B\">6.2 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