{"id":72170,"date":"2026-02-04T23:49:10","date_gmt":"2026-02-04T15:49:10","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/72170.html"},"modified":"2026-02-04T23:49:10","modified_gmt":"2026-02-04T15:49:10","slug":"gen_ai-%e7%ac%ac%e4%b8%89%e8%af%be-%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%86%85%e9%83%a8%e5%8e%9f%e7%90%86","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/72170.html","title":{"rendered":"Gen_AI \u7b2c\u4e09\u8bfe \u5927\u6a21\u578b\u5185\u90e8\u539f\u7406"},"content":{"rendered":"

\u5927\u6a21\u578b\u5185\u90e8\u539f\u7406\u8be6\u89e3<\/h3>\n

\u4e00\u3001\u4ece\u8f93\u5165 Prompt \u5230\u8f93\u51fa Token \u7684\u5b8c\u6574\u6d41\u7a0b<\/h4>\n
  • Tokenization（\u5206\u8bcd）
    \n\u8f93\u5165\u7684\u53e5\u5b50\u9996\u5148\u8fdb\u884c Tokenization，\u5c06\u53e5\u5b50\u5207\u5206\u4e3a\u4e00\u4e2a\u4e2a Token\u3002<\/li>\n
  • Embedding \u67e5\u8868
    \n\u901a\u8fc7 Embedding Table \u77e9\u9635（\u6bcf\u4e00\u884c\u5bf9\u5e94\u4e00\u4e2a Token），\u5c06 Token \u8f6c\u6362\u4e3a\u5bf9\u5e94\u7684\u5411\u91cf（Token Embedding）\u3002
    \n💡 \u6ce8\u610f：Embedding Table = LM Head（Unembedding \u65f6\u4f7f\u7528\u7684\u77e9\u9635）<\/li>\n
  • \u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u5904\u7406
    \n\u8f93\u5165\u8fdb\u5165\u7b2c\u4e00\u5c42 Layer 1，\u5185\u90e8\u5305\u542b\u591a\u4e2a\u77e9\u9635\u53c2\u6570
    \n\u6839\u636e\u8f93\u5165\u4ea7\u751f\u65b0\u7684 Embedding（\u5df2\u8003\u8651\u4e0a\u4e0b\u6587\u4fe1\u606f）
    \n\u7ecf\u8fc7\u591a\u5c42\u6df1\u5ea6\u5b66\u4e60\u7f51\u7edc\u9010\u5c42\u5904\u7406<\/li>\n
  • Unembedding \u4e0e\u8f93\u51fa
    \n\u53d6\u51fa\u6700\u540e\u4e00\u5c42\u8f93\u51fa\u7684\u6700\u540e\u4e00\u4e2a\u5411\u91cf
    \n\u4e0e LM Head \u77e9\u9635\u505a \u70b9\u79ef（Dot Product） \u2192 \u5f97\u5230 Logits
    \n\u5bf9 Logits \u5e94\u7528 Softmax \u2192 \u5f97\u5230\u6982\u7387\u5206\u5e03
    \n\u6839\u636e\u6982\u7387\u91c7\u6837\u751f\u6210\u4e0b\u4e00\u4e2a Token<\/li>\n

    \u4e8c\u3001Softmax \u539f\u7406\u8be6\u89e3<\/h3>\n

    Softmax \u51fd\u6570\u5c06\u4e00\u4e2a\u5b9e\u6570\u5411\u91cf
    \nz=[z1,z2,…,zn]
    \n\\\\mathbf{z} = [z_1, z_2, …, z_n]
    \n<\/span><\/span>z<\/span><\/span>=<\/span><\/span><\/span><\/span>[<\/span>z<\/span><\/span>1<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>,<\/span><\/span>z<\/span><\/span>2<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>,<\/span><\/span>…<\/span>,<\/span><\/span>z<\/span><\/span>n<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>]<\/span><\/span><\/span><\/span><\/span><\/span>
    \n\u8f6c\u6362\u4e3a\u4e00\u4e2a\u6982\u7387\u5206\u5e03\u5411\u91cf
    \n$$
    \n\\\\sigma(\\\\mathbf{z}) ：<\/p>\n

    \\\\sigma(\\\\mathbf{z})_i = \\\\frac{e{z_i}}{\\\\sum_{j=1}<\/sup>{n} e^{z_j}}
    \n\u5176\u4e2d
    \n\u5176\u4e2d
    \n<\/span><\/span>\u5176\u4e2d<\/span><\/span><\/span><\/span><\/span><\/span>
    \ni = 1, 2, \u2026, n
    \n$$<\/p>\n

    \u8ba1\u7b97\u6b65\u9aa4\u5206\u89e3<\/h4>\n

    \u4ee5\u8f93\u5165\u5411\u91cf
    \nz=[2.0,1.0,0.1]
    \n\\\\mathbf{z} = [2.0, 1.0, 0.1]
    \n<\/span><\/span>z<\/span><\/span>=<\/span><\/span><\/span><\/span>[<\/span>2.0<\/span>,<\/span><\/span>1.0<\/span>,<\/span><\/span>0.1<\/span>]<\/span><\/span><\/span><\/span><\/span><\/span>
    \n\u4e3a\u4f8b：<\/p>\n

    \u6b65\u9aa4 1：\u6307\u6570\u5316<\/h4>\n

    \u5bf9\u6bcf\u4e2a\u5143\u7d20\u8ba1\u7b97
    \nezi
    \ne^{z_i}
    \n<\/span><\/span>e<\/span><\/span>z<\/span><\/span>i<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>
    \n：<\/p>\n\n$ z_i $$ e^{z_i} $<\/tr>\n\n\n\n\n
    2.0<\/td>\n$ e^{2.0} \\\\approx 7.389 $<\/td>\n<\/tr>\n
    1.0<\/td>\n$ e^{1.0} \\\\approx 2.718 $<\/td>\n<\/tr>\n
    0.1<\/td>\n$ e^{0.1} \\\\approx 1.105 $<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u6b65\u9aa4 2：\u6c42\u548c<\/h4>\n

    \u8ba1\u7b97\u6240\u6709\u6307\u6570\u503c\u7684\u603b\u548c：<\/p>\n

    Sum=7.389+2.718+1.105=11.212
    \n\\\\text{Sum} = 7.389 + 2.718 + 1.105 = 11.212
    \n<\/span><\/span>Sum<\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>7.389<\/span><\/span>+<\/span><\/span><\/span><\/span>2.718<\/span><\/span>+<\/span><\/span><\/span><\/span>1.105<\/span><\/span>=<\/span><\/span><\/span><\/span>11.212<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    \u6b65\u9aa4 3：\u5f52\u4e00\u5316<\/h4>\n

    \u6bcf\u4e2a\u5143\u7d20\u9664\u4ee5\u5176\u603b\u548c，\u5f97\u5230\u6982\u7387：<\/p>\n

    \u03c3(z)1=7.38911.212\u22480.659
    \n\\\\sigma(\\\\mathbf{z})_1 = \\\\frac{7.389}{11.212} \\\\approx 0.659
    \n<\/span><\/span>\u03c3<\/span>(<\/span>z<\/span>)<\/span><\/span>1<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span><\/span><\/span>11.212<\/span><\/span><\/span><\/span><\/span><\/span><\/span>7.389<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u2248<\/span><\/span><\/span><\/span>0.659<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    \u03c3(z)2=2.71811.212\u22480.243
    \n\\\\sigma(\\\\mathbf{z})_2 = \\\\frac{2.718}{11.212} \\\\approx 0.243
    \n<\/span><\/span>\u03c3<\/span>(<\/span>z<\/span>)<\/span><\/span>2<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span><\/span><\/span>11.212<\/span><\/span><\/span><\/span><\/span><\/span><\/span>2.718<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u2248<\/span><\/span><\/span><\/span>0.243<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    \u03c3(z)3=1.10511.212\u22480.098
    \n\\\\sigma(\\\\mathbf{z})_3 = \\\\frac{1.105}{11.212} \\\\approx 0.098
    \n<\/span><\/span>\u03c3<\/span>(<\/span>z<\/span>)<\/span><\/span>3<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span><\/span><\/span>11.212<\/span><\/span><\/span><\/span><\/span><\/span><\/span>1.105<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u2248<\/span><\/span><\/span><\/span>0.098<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    \u9a8c\u8bc1<\/h4>\n

    \u6240\u6709\u8f93\u51fa\u4e4b\u548c\u4e3a
    \n0.659+0.243+0.098=1.0\u2713
    \n0.659 + 0.243 + 0.098 = 1.0 \u2713
    \n<\/span><\/span>0.659<\/span><\/span>+<\/span><\/span><\/span><\/span>0.243<\/span><\/span>+<\/span><\/span><\/span><\/span>0.098<\/span><\/span>=<\/span><\/span><\/span><\/span>1.0<\/span>\u2713<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    \u5173\u952e\u7279\u6027<\/h4>\n
  • \n

    \u6982\u7387\u5206\u5e03：\u8f93\u51fa\u503c\u5728 (0, 1) \u4e4b\u95f4，\u4e14\u603b\u548c\u4e3a 1.0<\/p>\n<\/li>\n

  • \n

    \u653e\u5927\u5dee\u5f02：
    \n\u6307\u6570\u51fd\u6570\u4f1a\u653e\u5927\u8f93\u5165\u503c\u4e4b\u95f4\u7684\u5dee\u5f02（2.0\u6bd41.0\u59271\u500d，\u4f46e2.0\u662fe1.0\u7684\u7ea62.7\u500d）
    \n\u6307\u6570\u51fd\u6570\u4f1a\u653e\u5927\u8f93\u5165\u503c\u4e4b\u95f4\u7684\u5dee\u5f02（ 2.0 \u6bd4 1.0 \u5927 1 \u500d，\u4f46 e^{2.0} \u662f e^{1.0} \u7684\u7ea6 2.7 \u500d）
    \n<\/span><\/span>\u6307\u6570\u51fd\u6570\u4f1a\u653e\u5927\u8f93\u5165\u503c\u4e4b\u95f4\u7684\u5dee\u5f02（<\/span>2.0<\/span>\u6bd4<\/span>1.0<\/span>\u5927<\/span>1<\/span>\u500d，\u4f46<\/span>e<\/span><\/span>2.0<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u662f<\/span>e<\/span><\/span>1.0<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u7684\u7ea6<\/span>2.7<\/span>\u500d）<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  • \n

    \u4fdd\u6301\u987a\u5e8f：\u8f93\u5165\u8d8a\u5927，\u5bf9\u5e94\u7684\u8f93\u51fa\u6982\u7387\u4e5f\u8d8a\u5927<\/p>\n<\/li>\n

    \u4e09\u3001\u770b\u770b\u6bcf\u4e00\u5c42\u7684\u8f93\u51fa<\/h3>\n

    Token Embedding \u7279\u6027<\/h4>\n
      \n
    • \u76f8\u540c Token \u2192 \u76f8\u540c\u7684 Token Embedding<\/li>\n
    • \u610f\u601d\u76f8\u8fd1\u7684 Token \u2192 \u76f8\u8fd1\u7684 Embedding<\/li>\n
    • \u4e0d\u540c\u4e0a\u4e0b\u6587 \u2192 \u76f8\u540c Token \u83b7\u5f97\u4e0d\u540c Embedding<\/li>\n
    • \u8bed\u4e49\u65b9\u5411\u6027：\u7279\u5b9a\u65b9\u5411\u6709\u7279\u5b9a\u542b\u4e49（\u5982：\u67d0\u4e2a\u65b9\u5411\u4ee3\u8868"\u4e2d\u82f1\u7ffb\u8bd1"）<\/li>\n<\/ul>\n

      \u5206\u6790\u65b9\u6cd5<\/h4>\n
        \n
      • \u964d\u7ef4\u53ef\u89c6\u5316：\u5c06\u9ad8\u7ef4\u5411\u91cf\u6295\u5c04\u5230\u4f4e\u7ef4\u7a7a\u95f4\u89c2\u5bdf<\/li>\n
      • \u5e72\u9884\u6280\u672f：\u4ece\u67d0\u5c42\u63d0\u53d6\u5411\u91cf\u5e76\u4fee\u6539，\u53ef\u5f71\u54cd\u6a21\u578b\u8f93\u51fa（\u5982：\u8ba9\u6a21\u578b\u62d2\u7edd\u56de\u7b54\u539f\u672c\u4f1a\u56de\u7b54\u7684\u95ee\u9898）<\/li>\n
      • Logit Lens：\u5bf9\u6bcf\u4e00\u5c42\u8fdb\u884c Unembedding，\u89c2\u5bdf\u6a21\u578b\u5728\u5404\u5c42\u7684"\u601d\u8003\u8fc7\u7a0b"<\/li>\n<\/ul>\n

        Patchscopes：\u7528\u4e8e\u8ba9\u5355\u4e2a\u5411\u91cf\u5305\u542b\u5b8c\u6574\u8bed\u4e49：<\/p>\n

        1. \u5c06\u76ee\u6807\u8bed\u53e5\u8f93\u5165\u6a21\u578b，\u4ece\u67d0\u5c42\u63d0\u53d6\u5411\u91cf
        \n 2. \u6784\u9020\u65b0\u8f93\u5165（\u5982："\u8bf7\u7b80\u5355\u4ecb\u7ecd\u3010x\u3011"）
        \n 3. \u5728\u65b0\u8f93\u5165\u4f20\u9012\u5230\u5bf9\u5e94\u5c42\u65f6，\u66ff\u6362\u4e3a\u4e4b\u524d\u63d0\u53d6\u7684\u5411\u91cf
        \n 4. \u6a21\u578b\u5373\u5904\u7406\u5b8c\u6574\u7684\u8bed\u4e49\u5185\u5bb9\u3010x\u3011<\/p>\n

        \u56db\u3001\u6bcf\u4e00\u5c42\u5185\u90e8\u5982\u4f55\u8fd0\u884c<\/h3>\n

        \u8fd9\u91cc\u4ee5transformer\u4e3a\u4f8b\u5b50\u8fdb\u884c\u5206\u6790<\/p>\n

        4.1 Self-Attention \u5c42（\u7b2c\u4e00\u5c42）<\/h4>\n

        \u6838\u5fc3\u529f\u80fd：\u8003\u8651\u6240\u6709\u8f93\u5165 Token \u7684\u5173\u7cfb，\u5b9e\u73b0\u4e0a\u4e0b\u6587\u7406\u89e3<\/p>\n

        \"\"<\/p>\n

        Attention\u5c42\u5177\u4f53\u8fd0\u4f5c\u539f\u7406：<\/h4>\n

        1\u3001\u5bfb\u627e\u4e0e\u5f53\u524d\u8f93\u5165\u6709\u5173\u7cfb\u7684token<\/p>\n

        2\u3001\u5c06\u8fd9\u4e9b\u6709\u5173\u7cfb\u7684token\u7684\u4fe1\u606f\u52a0\u5165<\/p>\n

        \"\"<\/p>\n

        \u7b2c\u4e00\u6b65\u7684\u8be6\u7ec6\u6b65\u9aa4：<\/h4>\n

        \u5c06\u6bcf\u4e00\u4e2atoken\u90fd\u8003\u8651\u4e00\u4e0b\u76f8\u5173\u5ea6，\u5148\u4e58\u4e0a\u4e00\u4e2a\u77e9\u9635，\u5f97\u5230key\u5411\u91cf，\u968f\u540e\u5728\u4e8equery\u76f4\u63a5dot product，\u7b97\u51fa\u7684\u7ed3\u679c\u8d8a\u5927，\u5c31\u8bc1\u660e\u5173\u8054\u6027\u8d8a\u5f3a\u3002<\/p>\n

        \"\"<\/p>\n

        \u4f46\u662f\u6709\u4e00\u4e2a\u95ee\u9898：\u8fd9\u91cc\u53ea\u662f\u5bf9\u4e8e\u5355\u4e2a\u8f93\u5165\u7684\u8003\u8651，\u5e76\u6ca1\u6709 \u8003\u8651\u5230\u4e0a\u4e0b\u6587，\u76f8\u5f53\u4e8e\u62a0\u5b57\u773c\u3002\u6ca1\u6709\u8003\u8651\u4fe9\u4e2atoken\u76f4\u63a5\u7684\u8ddd\u79bb，\u4e00\u4e2a\u65b9\u6cd5\u5c31\u662fpositional embedding，\u8bb0\u5f55\u4f4d\u7f6e\u4fe1\u606f ，token\u52a0\u8fd9\u4e2a\u76f8\u5bf9\u5e94\u4f4d\u7f6e\u7684\u5411\u91cf，\u4f8b\u5982p3 + \u9752\u4fe9\u4e2a\u5411\u91cf\u540c\u65f6\u5904\u7406 \u3002<\/p>\n

        \u6211\u4eec\u83b7\u5f97\u5230\u6bcf\u4e00\u4e2atoken\u4e0e\u5f53\u524dtoken\u7684\u76f8\u5173\u6027，\u518d\u8fdb\u884c\u4e86softmax\u64cd\u4f5c<\/p>\n

        \"\"
        \n\"\"<\/p>\n

        \u7b2c\u4e8c\u6b65：\u628a\u8fd9\u4e9btoken\u7684\u4fe1\u606f\u52a0\u5165\u8fdb\u6765<\/h4>\n

        \u5148\u83b7\u53d6value，\u518d\u6839\u636e\u76f8\u5173\u6027\u8fdb\u884c\u52a0\u6743\u5904\u7406，\u52a0\u8d77\u6765\u540e\u5f97\u5230\u4e00\u4e2a\u65b0\u7684\u5411\u91cf\u3002residual connection\u4f1a\u5c06\u5f53\u524dtoken\u52a0\u8fdb\u6765，\u4ee5\u9632\u6b62\u6a21\u578b\u5fd8\u8bb0\u5f53\u524dtoken<\/p>\n

        \"\"<\/p>\n

        \u4f46\u662f，\u6211\u4eec\u6ce8\u610f\u5230\u7b2c\u4e00\u6b65\u9aa4，\u662f\u627e\u4f1a\u5f71\u54cd\u5f53\u524dtoken\u7684\u5176\u4ed6token，\u4f46\u662f\u5f71\u54cd\u7684\u5177\u4f53\u65b9\u9762\u662f\u5f88\u591a\u7684，\u6240\u4ee5\u901a\u5e38\u5f88\u6709\u591a\u7ec4attention （multi-head attention），\u4f8b\u5982\u67d0\u4e00\u5c42\u5c31\u662f\u627e\u5f62\u5bb9\u8bcd，\u67d0\u4e00\u5c42\u662f\u627e\u91cf\u8bcd\u7684\u3002
        \n\"\"<\/p>\n

        \u6240\u4ee5，\u6709\u591a\u5c42attention\u5c42，\u90a3\u5c31\u4f1a\u6709\u591a\u4e2a\u7ed3\u679c\u5411\u91cf，\u6211\u4eec\u9700\u8981\u5c06\u8fd9\u4e9b\u5411\u91cf\u7ec4\u5408\u8d77\u6765，\u53d8\u6210\u4e00\u4e2a\u5411\u91cf
        \n\"\"<\/p>\n

        \u7ed3\u679c：\u8f93\u5165\u8d8a\u957f，\u8fd0\u7b97\u91cf\u5c31\u8d8a\u5927\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898，\u53ef\u4ee5\u53bb\u67e5\u8be2\u76f8\u5173\u8d44\u6599\u3002<\/p>\n

        \u5e76\u4e14\u5728\u5b9e\u9645\u64cd\u4f5c\u8fc7\u7a0b\u4e2d，\u6211\u4eec\u7684attention\u5c42，\u6bcf\u4e00\u4e2atoken\u8003\u8651\u76f8\u5173\u6027\u7684\u65f6\u5019，\u53ea\u4f1a\u8003\u8651\u5728\u5176\u5de6\u8fb9\u7684token（causal attention）<\/p>\n

        4.2 Feed-Forward \u5c42（Attention \u5c42\u4e4b\u540e）<\/h4>\n

        \"\"
        \n\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

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        \n\u4e00\u3001\u4ece\u8f93\u5165 Prompt \u5230\u8f93\u51fa Token \u7684\u5b8c\u6574\u6d41\u7a0b
        \nTokenization（\u5206\u8bcd）
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        \n\u901a\u8fc7 Embedding Table \u77e9\u9635（\u6bcf\u4e00\u884c\u5bf9\u5e94\u4e00\u4e2a Token），\u5c06 Token \u8f6c\u6362\u4e3a\u5bf9\u5e94\u7684\u5411\u91cf（Token Embedding）\u3002
        \n&#x1<\/p>\n","protected":false},"author":2,"featured_media":72160,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50],"topic":[],"class_list":["post-72170","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-50"],"yoast_head":"\nGen_AI \u7b2c\u4e09\u8bfe \u5927\u6a21\u578b\u5185\u90e8\u539f\u7406 - \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\/72170.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gen_AI \u7b2c\u4e09\u8bfe \u5927\u6a21\u578b\u5185\u90e8\u539f\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u5927\u6a21\u578b\u5185\u90e8\u539f\u7406\u8be6\u89e3 \u4e00\u3001\u4ece\u8f93\u5165 Prompt \u5230\u8f93\u51fa Token \u7684\u5b8c\u6574\u6d41\u7a0b Tokenization（\u5206\u8bcd） \u8f93\u5165\u7684\u53e5\u5b50\u9996\u5148\u8fdb\u884c Tokenization，\u5c06\u53e5\u5b50\u5207\u5206\u4e3a\u4e00\u4e2a\u4e2a Token\u3002Embedding \u67e5\u8868 \u901a\u8fc7 Embedding Table \u77e9\u9635（\u6bcf\u4e00\u884c\u5bf9\u5e94\u4e00\u4e2a Token），\u5c06 Token \u8f6c\u6362\u4e3a\u5bf9\u5e94\u7684\u5411\u91cf（Token Embedding）\u3002 &#x1\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/72170.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-04T15:49:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/02\/20260204154902-69836a6ec1afa.jpg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/72170.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/72170.html\",\"name\":\"Gen_AI \u7b2c\u4e09\u8bfe \u5927\u6a21\u578b\u5185\u90e8\u539f\u7406 - 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