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Encoding\uff0c\u4e00\u4e2a\u8bcd\u5bf9\u5e94\u4e00\u4e2a\u4f4d\u7f6e\u4e3a1\uff0c\u5176\u4f59\u5168\u4e3a0\u7684\u7a00\u758f\u5411\u91cf\uff09\u4e0d\u540c\uff0c\u5d4c\u5165\u5411\u91cf\u7684\u6bcf\u4e00\u4e2a\u7ef4\u5ea6\u90fd\u6709\u503c\uff0c\u4e14\u8fd9\u4e9b\u503c\u662f\u8fde\u7eed\u7684\uff0c\u8fd9\u4f7f\u5f97\u5b83\u80fd\u8868\u8fbe\u66f4\u4e30\u5bcc\u7684\u8bed\u4e49\u5173\u7cfb\u3002<\/li>\n<li><strong>\u4f4e\u7ef4\uff1a<\/strong>\u00a0\u76f8\u5bf9\u4e8e\u72ec\u70ed\u7f16\u7801\u53ef\u80fd\u9ad8\u8fbe\u6570\u4e07\u7684\u7ef4\u5ea6\uff0c\u5d4c\u5165\u5411\u91cf\u901a\u5e38\u53ea\u6709\u51e0\u767e\u5230\u51e0\u5343\u7ef4\uff0c\u8fd9\u5927\u5927\u63d0\u9ad8\u4e86\u8ba1\u7b97\u6548\u7387\u3002<\/li>\n<li><strong>\u8bed\u4e49\u4fe1\u606f\uff1a<\/strong>\u00a0\u8fd9\u662f\u6700\u5173\u952e\u7684\u4e00\u70b9\u3002\u5d4c\u5165\u5411\u91cf\u4e0d\u4ec5\u8868\u793a\u6587\u672c\u201c\u662f\u4ec0\u4e48\u201d\uff0c\u66f4\u8868\u793a\u5b83\u201c\u610f\u5473\u7740\u4ec0\u4e48\u201d\u3002\u4f8b\u5982\uff0c\u201c\u56fd\u738b\u201d\u7684\u5411\u91cf\u51cf\u53bb\u201c\u7537\u4eba\u201d\u7684\u5411\u91cf\uff0c\u518d\u52a0\u4e0a\u201c\u5973\u4eba\u201d\u7684\u5411\u91cf\uff0c\u5176\u7ed3\u679c\u4f1a\u975e\u5e38\u63a5\u8fd1\u201c\u5973\u738b\u201d\u7684\u5411\u91cf\u3002\u8fd9\u5c55\u793a\u4e86\u5411\u91cf\u80fd\u591f\u5b66\u4e60\u5230\u201c\u6027\u522b\u201d\u548c\u201c\u7687\u5ba4\u201d\u8fd9\u6837\u7684\u62bd\u8c61\u6982\u5ff5\u3002<\/li>\n<\/ul>\n<h2>\u4e3a\u4ec0\u4e48\u6587\u672c\u5d4c\u5165\u5982\u6b64\u91cd\u8981\uff1f<\/h2>\n<p>\u6587\u672c\u5d4c\u5165\u662f\u73b0\u4ee3\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u51e0\u4e4e\u6240\u6709\u4e0b\u6e38\u4efb\u52a1\u7684\u201c\u9884\u5904\u7406\u201d\u6216\u201c\u6838\u5fc3\u7ec4\u4ef6\u201d\u3002\u6ca1\u6709\u9ad8\u8d28\u91cf\u7684\u6587\u672c\u5d4c\u5165\uff0c\u4e0a\u5c42\u5e94\u7528\u5c31\u5982\u540c\u5efa\u7acb\u5728\u6c99\u6ee9\u4e0a\u7684\u57ce\u5821\u3002\u91cd\u8981\u6027\u4f53\u73b0\u5728\uff1a<\/p>\n<ul>\n<li><strong>\u8bed\u4e49\u641c\u7d22\u4e0e\u95ee\u7b54\uff1a<\/strong>\u00a0\u4f20\u7edf\u5173\u952e\u8bcd\u641c\u7d22\u53ea\u80fd\u5339\u914d\u5b57\u9762\u5185\u5bb9\uff0c\u800c\u57fa\u4e8e\u5d4c\u5165\u7684\u8bed\u4e49\u641c\u7d22\u80fd\u7406\u89e3\u67e5\u8be2\u80cc\u540e\u7684\u610f\u56fe\u3002\u5f53\u4f60\u641c\u7d22\u201c\u53bb\u5e74\u53e3\u7891\u6700\u597d\u7684\u79d1\u5e7b\u7535\u5f71\u201d\u65f6\uff0c\u7cfb\u7edf\u80fd\u8fd4\u56de\u6807\u9898\u4e2d\u4e0d\u542b\u8fd9\u4e9b\u8bcd\u4f46\u5185\u5bb9\u76f8\u5173\u7684\u7535\u5f71\uff0c\u56e0\u4e3a\u5b83\u7406\u89e3\u201c\u53e3\u7891\u6700\u597d\u201d\u548c\u201c\u79d1\u5e7b\u201d\u7684\u8bed\u4e49\u3002\u8fd9\u662f\u5b9e\u73b0\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u7b49\u5148\u8fdb\u6280\u672f\u7684\u57fa\u7840\u00a0\u3002<\/li>\n<li><strong>\u6587\u672c\u805a\u7c7b\u4e0e\u5206\u7c7b\uff1a<\/strong>\u00a0\u5c06\u5927\u91cf\u65e0\u6807\u7b7e\u6587\u672c\uff08\u5982\u7528\u6237\u8bc4\u8bba\u3001\u65b0\u95fb\u6587\u7ae0\uff09\u8f6c\u6362\u4e3a\u5411\u91cf\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u5411\u91cf\u95f4\u7684\u8ddd\u79bb\uff0c\u5c06\u8bed\u4e49\u76f8\u8fd1\u7684\u6587\u672c\u81ea\u52a8\u805a\u4e3a\u4e00\u7c7b\uff0c\u4ece\u800c\u53d1\u73b0\u70ed\u70b9\u8bdd\u9898\u6216\u8fdb\u884c\u60c5\u611f\u5206\u6790\u3002<\/li>\n<li><strong>\u63a8\u8350\u7cfb\u7edf\uff1a<\/strong>\u00a0\u901a\u8fc7\u5c06\u7528\u6237\u5386\u53f2\u884c\u4e3a\uff08\u5982\u70b9\u51fb\u7684\u6587\u7ae0\u3001\u8d2d\u4e70\u7684\u5546\u54c1\uff09\u7684\u6587\u672c\u63cf\u8ff0\u8f6c\u6362\u4e3a\u5d4c\u5165\u5411\u91cf\uff0c\u53ef\u4ee5\u8ba1\u7b97\u7269\u54c1\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\uff0c\u6216\u8005\u8ba1\u7b97\u7528\u6237\u5174\u8da3\u5411\u91cf\u4e0e\u7269\u54c1\u5411\u91cf\u7684\u5339\u914d\u5ea6\uff0c\u4ece\u800c\u5b9e\u73b0\u7cbe\u51c6\u63a8\u8350\u3002<\/li>\n<li><strong>\u4fe1\u606f\u68c0\u7d22\u4e0e\u77e5\u8bc6\u5e93\u6784\u5efa\uff1a<\/strong>\u00a0\u5728\u6784\u5efa\u4f01\u4e1a\u5185\u90e8\u77e5\u8bc6\u5e93\u65f6\uff0c\u53ef\u4ee5\u5c06\u6240\u6709\u6587\u6863\u6216FAQ\u6761\u76ee\u8f6c\u6362\u4e3a\u5411\u91cf\u5e76\u5b58\u50a8\u8d77\u6765\u3002\u5f53\u5458\u5de5\u63d0\u95ee\u65f6\uff0c\u7cfb\u7edf\u80fd\u8fc5\u901f\u627e\u5230\u6700\u76f8\u5173\u7684\u6587\u6863\u7247\u6bb5\u4f5c\u4e3a\u7b54\u6848\u4f9d\u636e\u00a0\u3002<\/li>\n<\/ul>\n<blockquote>\n<p>\u6587\u672c\u5d4c\u5165\u662f\u8fde\u63a5\u4eba\u7c7b\u62bd\u8c61\u3001\u6a21\u7cca\u7684\u8bed\u8a00\u4e16\u754c\u4e0e\u8ba1\u7b97\u673a\u7cbe\u51c6\u3001\u4e25\u8c28\u7684\u6570\u5b57\u4e16\u754c\u7684\u6865\u6881\u3002<\/p>\n<\/blockquote>\n<h2>\u6587\u672c\u5d4c\u5165\u7684\u6280\u672f\u6f14\u8fdb\u4e0e\u6838\u5fc3\u539f\u7406<\/h2>\n<p>\u8981\u7406\u89e3\u5f53\u4eca\u5148\u8fdb\u7684\u5d4c\u5165\u6a21\u578b\uff0c\u6211\u4eec\u9700\u8981\u56de\u987e\u5176\u6280\u672f\u53d1\u5c55\u8109\u7edc\uff0c\u5e76\u6df1\u5165\u5176\u6838\u5fc3\u5de5\u4f5c\u539f\u7406\u3002<\/p>\n<h4><strong>\u4ece\u8bcd\u888b\u5230\u6df1\u5ea6\u5b66\u4e60<\/strong><\/h4>\n<ul>\n<li><strong>\u65e9\u671f\uff08\u8bcd\u888b\u6a21\u578b\/TF-IDF\uff09\uff1a<\/strong>\u00a0\u6700\u65e9\u7684\u65b9\u6cd5\u975e\u5e38\u6734\u7d20\uff0c\u4f8b\u5982\u201c\u8bcd\u888b\u6a21\u578b\u201d\uff08Bag-of-Words\uff09\u53ea\u7edf\u8ba1\u6587\u672c\u4e2d\u6bcf\u4e2a\u8bcd\u51fa\u73b0\u7684\u6b21\u6570\uff0c\u5b8c\u5168\u5ffd\u7565\u4e86\u8bed\u5e8f\u548c\u4e0a\u4e0b\u6587\uff0c\u5982\u540c\u5c06\u4e00\u53e5\u8bdd\u4e2d\u7684\u6240\u6709\u8bcd\u6254\u8fdb\u888b\u5b50\u91cc\u3002\u8fd9\u5bfc\u81f4\u201c\u6211\u6253\u4f60\u201d\u548c\u201c\u4f60\u6253\u6211\u201d\u88ab\u89c6\u4e3a\u5b8c\u5168\u76f8\u540c\u3002<\/li>\n<li><strong>\u9759\u6001\u8bcd\u5411\u91cf\u65f6\u4ee3\uff08Word2Vec, GloVe\uff09\uff1a<\/strong>\u00a02013\u5e74\u5de6\u53f3\uff0c\u4ee5Word2Vec\u4e3a\u4ee3\u8868\u7684\u6280\u672f\u5e26\u6765\u4e86\u9769\u547d\u3002\u5b83\u901a\u8fc7\u201c\u4e00\u4e2a\u8bcd\u7684\u4e0a\u4e0b\u6587\u53ef\u4ee5\u9884\u6d4b\u8fd9\u4e2a\u8bcd\u201d\u7684\u601d\u60f3\uff0c\u4e3a\u6bcf\u4e2a\u8bcd\u5b66\u4e60\u4e00\u4e2a\u56fa\u5b9a\u7684\u5411\u91cf\u3002\u8fd9\u9996\u6b21\u8ba9\u673a\u5668\u6355\u6349\u5230\u4e86\u8bcd\u4e0e\u8bcd\u4e4b\u95f4\u7684\u8bed\u4e49\u5173\u7cfb\u3002\u4f46\u5b83\u7684\u7f3a\u9677\u662f\u201c\u4e00\u8bcd\u591a\u4e49\u201d\u95ee\u9898\u65e0\u6cd5\u89e3\u51b3\uff0c\u4f8b\u5982\u201cbank\u201d\u5728\u201criver bank\u201d\uff08\u6cb3\u5cb8\uff09\u548c\u201cbank account\u201d\uff08\u94f6\u884c\u8d26\u6237\uff09\u4e2d\u662f\u540c\u4e00\u4e2a\u5411\u91cf\u3002<\/li>\n<li><strong>\u52a8\u6001\u8bcd\u5411\u91cf\u65f6\u4ee3\uff08ELMo, BERT\uff09\uff1a<\/strong>\u00a02018\u5e74\u4ee5\u540e\uff0c\u968f\u7740Transformer\u67b6\u6784\u7684\u51fa\u73b0\uff0c\u4ee5BERT\u4e3a\u4ee3\u8868\u7684\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\uff08Pre-trained Language Models\uff09\u6210\u4e3a\u4e3b\u6d41\u00a0\u3002\u5b83\u4eec\u80fd\u591f\u6839\u636e\u4e0a\u4e0b\u6587\u52a8\u6001\u5730\u751f\u6210\u8bcd\u7684\u5411\u91cf\u8868\u793a\u3002\u201cbank\u201d\u5728\u4e0d\u540c\u53e5\u5b50\u4e2d\u7684\u5411\u91cf\u4f1a\u4e0d\u4e00\u6837\uff0c\u8fd9\u6781\u5927\u5730\u63d0\u5347\u4e86\u8bed\u4e49\u7406\u89e3\u7684\u7cbe\u5ea6\u3002<\/li>\n<\/ul>\n<h4><strong>\u73b0\u4ee3\u6a21\u578b\u7684\u6838\u5fc3\u67b6\u6784\uff1aTransformer\u7684\u529b\u91cf<\/strong><\/h4>\n<p>\u5f53\u524d\u6700\u5148\u8fdb\u7684\u6587\u672c\u5d4c\u5165\u6a21\u578b\u51e0\u4e4e\u90fd\u57fa\u4e8e\u00a0<strong>Transformer\u67b6\u6784<\/strong>\u00a0\u3002Transformer\u7684\u6838\u5fc3\u662f\u5176\u201c\u81ea\u6ce8\u610f\u529b\u673a\u5236\u201d\uff08Self-Attention\uff09\uff0c\u5b83\u5141\u8bb8\u6a21\u578b\u5728\u5904\u7406\u4e00\u4e2a\u8bcd\u65f6\uff0c\u540c\u65f6\u201c\u5173\u6ce8\u201d\u5230\u53e5\u5b50\u4e2d\u6240\u6709\u5176\u4ed6\u7684\u8bcd\uff0c\u5e76\u8ba1\u7b97\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u8054\u6743\u91cd\u3002\u8fd9\u4f7f\u5f97\u6a21\u578b\u62e5\u6709\u4e86\u5f3a\u5927\u7684\u957f\u8ddd\u79bb\u4f9d\u8d56\u6355\u6349\u80fd\u529b\u548c\u4e0a\u4e0b\u6587\u7406\u89e3\u80fd\u529b\u3002<\/p>\n<p>\u8bb8\u591a\u9876\u7ea7\u7684\u5d4c\u5165\u6a21\u578b\uff0c\u5982BERT\u3001RoBERTa\u7b49\uff0c\u672c\u8eab\u5c31\u662f\u4e00\u4e2a\u5f3a\u5927\u7684Transformer\u7f16\u7801\u5668\u3002\u7136\u800c\uff0c\u76f4\u63a5\u4f7f\u7528BERT\u7b49\u6a21\u578b\u7684\u8f93\u51fa\u4f5c\u4e3a\u53e5\u5b50\u5d4c\u5165\u6548\u679c\u5e76\u4e0d\u7406\u60f3\u3002\u56e0\u6b64\uff0c\u7814\u7a76\u8005\u4eec\u5728\u6b64\u57fa\u7840\u4e0a\u53d1\u5c55\u51fa\u4e86\u66f4\u4e13\u95e8\u7684\u7ed3\u6784\u3002<\/p>\n<p>\u4e00\u4e2a\u5178\u578b\u7684\u73b0\u4ee3\u53e5\u5b50\u5d4c\u5165\u6a21\u578b\u7ed3\u6784\u662f\u00a0<strong>\u53cc\u5854\/\u53cc\u7f16\u7801\u5668\uff08Dual-Encoder\/Siamese Network\uff09<\/strong>\u200d\u00a0\u3002\u5b83\u5305\u542b\u4e24\u4e2a\u7ed3\u6784\u76f8\u540c\u3001\u6743\u91cd\u5171\u4eab\u7684Transformer\u7f16\u7801\u5668\uff08\u5c31\u50cf\u4e00\u5bf9\u53cc\u80de\u80ce\uff09\u3002\u5728\u8bad\u7ec3\u65f6\uff0c\u4e00\u5bf9\u8bed\u4e49\u76f8\u5173\uff08\u6216\u4e0d\u76f8\u5173\uff09\u7684\u53e5\u5b50\u5206\u522b\u901a\u8fc7\u8fd9\u4e24\u4e2a\u7f16\u7801\u5668\uff0c\u751f\u6210\u5404\u81ea\u7684\u5d4c\u5165\u5411\u91cf\u3002\u6a21\u578b\u7684\u76ee\u6807\u5c31\u662f\u8c03\u6574\u7f16\u7801\u5668\u7684\u53c2\u6570\uff0c\u8ba9\u76f8\u5173\u53e5\u5b50\u7684\u5411\u91cf\u66f4\u63a5\u8fd1\uff0c\u4e0d\u76f8\u5173\u53e5\u5b50\u7684\u5411\u91cf\u66f4\u758f\u8fdc\u3002<\/p>\n<h4><strong>\u8bad\u7ec3\u7684\u9b54\u6cd5\uff1a\u5bf9\u6bd4\u5b66\u4e60<\/strong><\/h4>\n<p><strong>\u5bf9\u6bd4\u5b66\u4e60\uff08Contrastive Learning\uff09<\/strong>\u200d \u662f\u5f53\u524d\u8bad\u7ec3\u6587\u672c\u5d4c\u5165\u6a21\u578b\u6700\u6838\u5fc3\u3001\u6700\u6709\u6548\u7684\u65b9\u6cd5\u00a0\u3002\u5176\u601d\u60f3\u975e\u5e38\u76f4\u89c2\uff0c\u53ef\u4ee5\u7528\u4e00\u4e2a\u201c\u793e\u4ea4\u821e\u4f1a\u201d\u7684\u6bd4\u55bb\u6765\u89e3\u91ca\uff1a<\/p>\n<blockquote>\n<p>\u60f3\u8c61\u4e00\u4e0b\uff0c\u6a21\u578b\u662f\u4e00\u4f4d\u793e\u4ea4\u821e\u4f1a\u7684\u7ec4\u7ec7\u8005\uff0c\u76ee\u6807\u662f\u8ba9\u821e\u6c60\u91cc\u7684\u4eba\uff08\u6587\u672c\u5411\u91cf\uff09\u7684\u7ad9\u4f4d\u80fd\u591f\u4f53\u73b0\u4ed6\u4eec\u7684\u5173\u7cfb\u3002<\/p>\n<ul>\n<li><strong>\u6b63\u6837\u672c\uff08Positive Pair\uff09\uff1a<\/strong>\u00a0\u7ec4\u7ec7\u8005\u62ff\u5230\u4e00\u5bf9\u5173\u7cfb\u4eb2\u5bc6\u7684\u670b\u53cb\uff08\u6bd4\u5982\uff0c\u4e24\u4e2a\u610f\u601d\u76f8\u8fd1\u7684\u53e5\u5b50\uff1a\u201c\u4eca\u5929\u5929\u6c14\u771f\u597d\u201d\u548c\u201c\u4eca\u5929\u662f\u4e2a\u5927\u6674\u5929\u201d\uff09\u3002\u7ec4\u7ec7\u8005\u7684\u4efb\u52a1\u662f\uff0c\u5728\u821e\u6c60\u4e2d\u5c06\u8fd9\u4e24\u4e2a\u4eba\u62c9\u5f97\u66f4\u8fd1\u3002<\/li>\n<li><strong>\u8d1f\u6837\u672c\uff08Negative Pair\uff09\uff1a<\/strong>\u00a0\u540c\u65f6\uff0c\u7ec4\u7ec7\u8005\u4f1a\u4ece\u821e\u6c60\u91cc\u968f\u673a\u6311\u9009\u5f88\u591a\u5176\u4ed6\u964c\u751f\u4eba\uff08\u610f\u601d\u4e0d\u76f8\u5173\u7684\u53e5\u5b50\uff0c\u5982\u201c\u6211\u7684\u732b\u559c\u6b22\u7761\u89c9\u201d\uff09\u3002\u7ec4\u7ec7\u8005\u7684\u4efb\u52a1\u662f\uff0c\u5c06\u8fd9\u5bf9\u670b\u53cb\u4e0e\u8fd9\u4e9b\u964c\u751f\u4eba\u63a8\u5f97\u66f4\u8fdc\u3002<\/li>\n<\/ul>\n<\/blockquote>\n<p>\u901a\u8fc7\u6210\u5343\u4e0a\u4e07\u6b21\u8fd9\u6837\u7684\u201c\u62c9\u8fd1\u201d\u548c\u201c\u63a8\u8fdc\u201d\u64cd\u4f5c\uff0c\u6700\u7ec8\uff0c\u6574\u4e2a\u821e\u6c60\u7684\u5e03\u5c40\u5c31\u4f1a\u53d8\u5f97\u975e\u5e38\u6709\u6761\u7406\uff1a\u76f8\u4f3c\u7684\u4eba\uff08\u6587\u672c\uff09\u81ea\u7136\u800c\u7136\u5730\u805a\u5728\u4e00\u8d77\uff0c\u5f62\u6210\u4e00\u4e2a\u4e2a\u5c0f\u5708\u5b50\u3002<\/p>\n<p>\u5728\u6280\u672f\u4e0a\uff0c\u8fd9\u4e2a\u8fc7\u7a0b\u901a\u8fc7\u4e00\u4e2a\u53eb\u505a\u00a0<strong>InfoNCE Loss<\/strong>\u00a0\u7684\u635f\u5931\u51fd\u6570\u6765\u6570\u5b66\u5316\u5730\u5b9e\u73b0\u00a0\u3002\u8fd9\u4e2a\u51fd\u6570\u4f1a\u8ba1\u7b97\u6b63\u6837\u672c\u5bf9\u7684\u76f8\u4f3c\u5ea6\u5f97\u5206\uff0c\u5e76\u60e9\u7f5a\u6a21\u578b\uff0c\u5982\u679c\u8fd9\u4e2a\u5f97\u5206\u4e0d\u591f\u9ad8\uff0c\u6216\u8005\u6bd4\u8d1f\u6837\u672c\u5bf9\u7684\u5f97\u5206\u9ad8\u5f97\u4e0d\u591f\u591a\u3002\u4e3a\u4e86\u83b7\u5f97\u8db3\u591f\u591a\u4e14\u9ad8\u8d28\u91cf\u7684\u8bad\u7ec3\u6570\u636e\uff08\u6b63\u8d1f\u6837\u672c\u5bf9\uff09\uff0c\u7814\u7a76\u8005\u4eec\u4f1a\u4ece\u7f51\u9875\u3001\u8bba\u6587\u3001\u793e\u533a\u95ee\u7b54\u7b49\u6d77\u91cf\u6587\u672c\u4e2d\u8fdb\u884c\u6316\u6398\u548c\u6784\u5efa\u00a0\u3002\u6709\u65f6\u8fd8\u4f1a\u7528\u5230\u201c\u786c\u8d1f\u6837\u672c\u6316\u6398\u201d\uff08Hard Negative Mining\uff09\u6280\u672f\uff0c\u5373\u7279\u610f\u6311\u9009\u90a3\u4e9b\u4e0e\u6b63\u6837\u672c\u6709\u70b9\u50cf\u4f46\u610f\u601d\u5b8c\u5168\u4e0d\u540c\u7684\u53e5\u5b50\u4f5c\u4e3a\u8d1f\u6837\u672c\uff0c\u8fd9\u80fd\u8ba9\u6a21\u578b\u5b66\u5230\u66f4\u7ec6\u5fae\u7684\u8bed\u4e49\u5dee\u522b\u00a0\u3002<\/p>\n<h4><strong>\u4ece\u201c\u4e00\u5806\u201d\u5230\u201c\u4e00\u4e2a\u201d\uff1a\u6c60\u5316\u64cd\u4f5c<\/strong><\/h4>\n<p>Transformer\u6a21\u578b\u5728\u5904\u7406\u4e00\u4e2a\u53e5\u5b50\u65f6\uff0c\u4f1a\u4e3a\u53e5\u5b50\u4e2d\u7684\u6bcf\u4e00\u4e2a\u8bcd\uff08\u6216\u5b50\u8bcd\uff0c\u79f0\u4e3atoken\uff09\u90fd\u751f\u6210\u4e00\u4e2a\u5411\u91cf\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a10\u4e2a\u8bcd\u7684\u53e5\u5b50\uff0c\u53ef\u80fd\u4f1a\u5f97\u523010\u4e2a\u5411\u91cf\u3002\u4f46\u6211\u4eec\u901a\u5e38\u9700\u8981\u4e00\u4e2a\u80fd\u4ee3\u8868\u6574\u4e2a\u53e5\u5b50\u7684\u5355\u4e00\u5411\u91cf\u3002<\/p>\n<p><strong>\u6c60\u5316\uff08Pooling\uff09<\/strong>\u200d \u64cd\u4f5c\u5c31\u662f\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u7684\u5173\u952e\u4e00\u6b65 \u3002\u5c06\u4e00\u7cfb\u5217\u8bcd\u5411\u91cf\u805a\u5408\u6210\u4e00\u4e2a\u53e5\u5411\u91cf\u3002\u6700\u5e38\u89c1\u7684\u6c60\u5316\u65b9\u6cd5\u6709\uff1a<\/p>\n<ul>\n<li><strong>\u5e73\u5747\u6c60\u5316\uff08Mean Pooling\uff09\uff1a<\/strong>\u00a0\u5c06\u6240\u6709\u8bcd\u5411\u91cf\u7684\u5bf9\u5e94\u7ef4\u5ea6\u53d6\u5e73\u5747\u503c\u3002\u8fd9\u76f8\u5f53\u4e8e\u8ba4\u4e3a\u53e5\u5b50\u8bed\u4e49\u662f\u6240\u6709\u8bcd\u8bed\u4e49\u7684\u5e73\u5747\u3002<\/li>\n<li><strong>\u6700\u5927\u6c60\u5316\uff08Max Pooling\uff09\uff1a<\/strong>\u00a0\u5728\u6bcf\u4e2a\u7ef4\u5ea6\u4e0a\uff0c\u9009\u62e9\u6240\u6709\u8bcd\u5411\u91cf\u4e2d\u8be5\u7ef4\u5ea6\u7684\u6700\u5927\u503c\u3002\u8fd9\u5728\u67d0\u4e9b\u4efb\u52a1\u4e2d\u88ab\u8ba4\u4e3a\u80fd\u6355\u6349\u5230\u53e5\u5b50\u4e2d\u6700\u5173\u952e\u7684\u7279\u5f81\u3002<\/li>\n<li><strong>CLS Token\u6c60\u5316\uff1a<\/strong>\u00a0\u5728\u7c7b\u4f3cBERT\u7684\u6a21\u578b\u4e2d\uff0c\u8f93\u5165\u53e5\u5b50\u7684\u5f00\u5934\u4f1a\u6dfb\u52a0\u4e00\u4e2a\u7279\u6b8a\u7684\u00a0<code>[CLS]<\/code>\u00a0\u7b26\u53f7\u3002\u5f88\u591a\u6a21\u578b\u76f4\u63a5\u4f7f\u7528\u8fd9\u4e2a\u7279\u6b8a\u7b26\u53f7\u5bf9\u5e94\u7684\u8f93\u51fa\u5411\u91cf\u4f5c\u4e3a\u6574\u4e2a\u53e5\u5b50\u7684\u8868\u793a\u3002<\/li>\n<\/ul>\n<blockquote>\n<p>\u9009\u62e9\u54ea\u79cd\u6c60\u5316\u65b9\u5f0f\u53d6\u51b3\u4e8e\u6a21\u578b\u7684\u8bad\u7ec3\u65b9\u5f0f\u548c\u76ee\u6807\u4efb\u52a1\uff0c\u5bf9\u6700\u7ec8\u5d4c\u5165\u7684\u8d28\u91cf\u6709\u76f4\u63a5\u5f71\u54cd\u3002<\/p>\n<\/blockquote>\n<h2>\u4f18\u79c0\u7684\u6587\u672c\u5d4c\u5165\u6a21\u578b<\/h2>\n<h4><strong>\u5f00\u6e90\u6a21\u578b\u7684\u201c\u81ea\u7531\u201d\u4e0e\u201c\u8d23\u4efb\u201d<\/strong>\u200d<\/h4>\n<p>\u5f00\u6e90\u6a21\u578b\u7ed9\u4e88\u4e86\u5f00\u53d1\u8005\u6781\u5927\u7684\u7075\u6d3b\u6027\uff0c\u53ef\u4ee5\u672c\u5730\u90e8\u7f72\uff0c\u4fdd\u969c\u6570\u636e\u9690\u79c1\uff0c\u5e76\u4e14\u901a\u5e38\u53ef\u4ee5\u6839\u636e\u7279\u5b9a\u9886\u57df\u7684\u8bed\u6599\u8fdb\u884c\u5fae\u8c03\uff08Fine-tuning\uff09\u4ee5\u83b7\u5f97\u66f4\u4f73\u6027\u80fd\u00a0\u3002\u4f46\u201c\u81ea\u7531\u201d\u4e5f\u4f34\u968f\u7740\u201c\u8d23\u4efb\u201d\uff0c\u5373\u9700\u8981\u81ea\u884c\u627f\u62c5\u90e8\u7f72\u3001\u7ef4\u62a4\u548c\u8ba1\u7b97\u8d44\u6e90\u7684\u6210\u672c\u00a0\u3002<\/p>\n<ul>\n<li><strong>\u751f\u6001\u6784\u5efa\u8005\uff1a<code>Sentence-Transformers<\/code>\u5e93\u3002<\/strong>\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684Python\u5e93\uff0c\u5b83\u6781\u5927\u5730\u7b80\u5316\u4e86\u4f7f\u7528\u548c\u8bad\u7ec3\u53e5\u5b50\u5d4c\u5165\u6a21\u578b\u7684\u8fc7\u7a0b\u00a0\u3002\u5b83\u9884\u7f6e\u4e86\u5927\u91cf\u5728\u5404\u7c7b\u4efb\u52a1\u4e0a\u8868\u73b0\u4f18\u5f02\u7684\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u51e0\u884c\u4ee3\u7801\u5c31\u80fd\u4e0a\u624b\u3002\n<ul>\n<li><strong>\u7ecf\u5178\u6a21\u578b\uff1a<\/strong>\u00a0<code>all-MiniLM-L6-v2<\/code>\u00a0\u548c\u00a0<code>all-mpnet-base-v2<\/code>\u00a0\u662f\u4e24\u4e2a\u5e7f\u53d7\u6b22\u8fce\u7684\u901a\u7528\u6a21\u578b\uff0c\u5b83\u4eec\u5728\u6027\u80fd\u548c\u901f\u5ea6\u4e4b\u95f4\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u5e73\u8861\u00a0\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>MTEB\u6392\u884c\u699c\u4e0a\u7684\u9886\u519b\u8005\uff1aBGE, GTE, E5 \u7cfb\u5217<\/strong><strong>\u3002MTEB (Massive Text Embedding Benchmark)<\/strong>\u00a0\u662f\u4e00\u4e2a\u5168\u9762\u8bc4\u4f30\u6587\u672c\u5d4c\u5165\u6a21\u578b\u6027\u80fd\u7684\u6743\u5a01\u57fa\u51c6\u6d4b\u8bd5\uff0c\u6db5\u76d6\u4e86\u5206\u7c7b\u3001\u805a\u7c7b\u3001\u68c0\u7d22\u3001\u6392\u5e8f\u7b498\u5927\u7c7b\u4efb\u52a1\u548c58\u4e2a\u6570\u636e\u96c6\u00a0\u3002\u5728\u8fd9\u4e2a\u6392\u884c\u699c\u4e0a\u540d\u5217\u524d\u8305\u7684\u5f00\u6e90\u6a21\u578b\u901a\u5e38\u4ee3\u8868\u4e86\u5f53\u524d\u6280\u672f\u7684\u6700\u9ad8\u6c34\u5e73\u3002\n<ul>\n<li><strong>BGE (BAAI General Embedding):<\/strong>\u00a0\u7531\u5317\u4eac\u667a\u6e90\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\uff08BAAI\uff09\u53d1\u5e03\uff0c\u5176\u00a0<code>bge-large<\/code>\u00a0\u7cfb\u5217\u6a21\u578b\uff0c\u7279\u522b\u662f\u5176\u4e2d\u6587\u7248\u00a0<code>bge-large-zh-v1.5<\/code>\uff0c\u5728\u4e2d\u6587\u5d4c\u5165\u4efb\u52a1\u4e0a\u8868\u73b0\u975e\u5e38\u51fa\u8272\uff0c\u662f\u4e2d\u6587\u5f00\u53d1\u8005\u7684\u9996\u9009\u4e4b\u4e00\u00a0\u3002<\/li>\n<li><strong>GTE (General Text Embeddings):<\/strong>\u00a0\u540c\u6837\u662fMTEB\u699c\u5355\u4e0a\u7684\u5e38\u5ba2\uff0c\u7531\u591a\u4e2a\u7814\u7a76\u673a\u6784\u5408\u4f5c\u63a8\u51fa\uff0c\u5176\u6a21\u578b\u5728\u901a\u7528\u8bed\u4e49\u7406\u89e3\u548c\u68c0\u7d22\u4efb\u52a1\u4e0a\u5177\u6709\u5f88\u5f3a\u7684\u7ade\u4e89\u529b\u00a0\u3002<\/li>\n<li><strong>E5 (Embeddings from bidirEctional Encoder rEpresentations):<\/strong>\u00a0\u7531\u5fae\u8f6f\u63d0\u51fa\uff0c\u5176\u7279\u70b9\u662f\u901a\u8fc7\u5bf9\u6bd4\u5b66\u4e60\u5728\u5927\u91cf\u6587\u672c\u5bf9\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\u3002E5\u6a21\u578b\u5bb6\u65cf\u540c\u6837\u5728MTEB\u4e0a\u8868\u73b0\u4f18\u5f02\uff0c\u5e76\u6709\u591a\u79cd\u5c3a\u5bf8\u53ef\u9009\u00a0\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4><strong>\u5546\u4e1a\u6a21\u578b\u7684\u201c\u5f3a\u5927\u201d\u4e0e\u201c\u6210\u672c\u201d<\/strong>\u200d<\/h4>\n<p>\u5546\u4e1a\u6a21\u578b\u901a\u5e38\u7531\u9876\u7ea7AI\u516c\u53f8\u63d0\u4f9b\uff0c\u901a\u8fc7API\u5f62\u5f0f\u8c03\u7528\u3002\u4f18\u52bf\u662f\u6027\u80fd\u9876\u5c16\u3001\u5f00\u7bb1\u5373\u7528\u3001\u65e0\u9700\u7ef4\u62a4\uff0c\u4f46\u7f3a\u70b9\u662f\u9700\u8981\u6301\u7eed\u4ed8\u8d39\uff0c\u4e14\u6570\u636e\u9700\u8981\u53d1\u9001\u7ed9\u670d\u52a1\u5546\u5904\u7406 \u3002<\/p>\n<ul>\n<li><strong>\u884c\u4e1a\u6807\u6746\uff1aOpenAI \u7cfb\u5217<\/strong>\u3002OpenAI\u7684\u5d4c\u5165\u6a21\u578b\u4e00\u76f4\u662f\u4e1a\u754c\u7684\u6027\u80fd\u6807\u6746\u3002\n<ul>\n<li><code>text-embedding-ada-002<\/code>\uff1a\u66fe\u662f\u5e02\u573a\u4e0a\u7684\u4e3b\u5bfc\u6a21\u578b\uff0c\u4ee5\u5176\u5f3a\u5927\u7684\u6027\u80fd\u548c\u76f8\u5bf9\u5408\u7406\u7684\u6210\u672c\u88ab\u5e7f\u6cdb\u5e94\u7528\u00a0\u3002<\/li>\n<li><code>text-embedding-3-small<\/code>\u00a0&#038;\u00a0<code>text-embedding-3-large<\/code>\uff1a\u8fd9\u662fOpenAI\u57282024\u5e74\u521d\u63a8\u51fa\u7684\u65b0\u4e00\u4ee3\u6a21\u578b\u3002<code>large<\/code>\u7248\u672c\u5728MTEB\u7b49\u57fa\u51c6\u4e0a\u53d6\u5f97\u4e86\u65b0\u7684SOTA\uff08State-of-the-Art\uff09\u6210\u7ee9\uff0c\u800c<code>small<\/code>\u7248\u672c\u5219\u5728\u4fdd\u6301\u9ad8\u6027\u4ef7\u6bd4\u7684\u540c\u65f6\uff0c\u6027\u80fd\u8d85\u8d8a\u4e86\u524d\u4ee3<code>ada-002<\/code>\u6a21\u578b\u00a0\u3002\u5b83\u4eec\u8fd8\u652f\u6301\u901a\u8fc7\u53c2\u6570\u8c03\u6574\u5d4c\u5165\u7ef4\u5ea6\uff0c\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u66f4\u5927\u7684\u7075\u6d3b\u6027\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5f3a\u5927\u7684\u7ade\u4e89\u8005\uff1aCohere, Google, Amazon<\/strong>\n<ul>\n<li><strong>Cohere:<\/strong>\u00a0\u4ed6\u4eec\u7684\u00a0<code>embed-multilingual-v3.0<\/code>\u00a0\u7b49\u6a21\u578b\u5728\u591a\u8bed\u8a00\u652f\u6301\u548c\u538b\u7f29\u611f\u77e5\u65b9\u9762\u975e\u5e38\u6709\u7279\u8272\uff0c\u4e13\u6ce8\u4e8e\u4e3a\u4f01\u4e1a\u7ea7\u641c\u7d22\u548cRAG\u5e94\u7528\u63d0\u4f9b\u9ad8\u8d28\u91cf\u5d4c\u5165\u00a0\u3002<\/li>\n<li><strong>Google:<\/strong>\u00a0\u8c37\u6b4c\u901a\u8fc7\u5176Vertex AI\u5e73\u53f0\u63d0\u4f9b\u00a0<code>Gemini-embedding<\/code>\u00a0\u7b49\u6a21\u578b\uff0c\u6df1\u5ea6\u6574\u5408\u5728\u5176\u4e91\u751f\u6001\u4e2d\uff0c\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u00a0\u3002<\/li>\n<li><strong>Amazon:<\/strong>\u00a0\u4e9a\u9a6c\u900a\u7684\u00a0<code>Titan<\/code>\u00a0\u7cfb\u5217\u5d4c\u5165\u6a21\u578b\uff0c\u5982\u00a0<code>Titan Text Embedding G1<\/code>\uff0c\u662fAWS\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff0c\u4e3aAWS\u7528\u6237\u63d0\u4f9b\u4e86\u4fbf\u6377\u3001\u9ad8\u6548\u7684\u5d4c\u5165\u670d\u52a1\u00a0\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4><strong>\u6027\u80fd\u4e0e\u9009\u62e9\uff1a\u7b80\u660e\u5bf9\u6bd4<\/strong><\/h4>\n<p>\u4e0b\u8868\u5bf9\u51e0\u6b3e\u4ee3\u8868\u6027\u6a21\u578b\u8fdb\u884c\u4e86\u591a\u7ef4\u5ea6\u5bf9\u6bd4<\/p>\n<table>\n<thead>\n<tr>\n<th>\u6a21\u578b\u540d\u79f0<\/th>\n<th>\u7c7b\u578b<\/th>\n<th>MTEB\u5e73\u5747\u5206 (\u8fd1\u4f3c)<\/th>\n<th>\u5411\u91cf\u7ef4\u5ea6<\/th>\n<th>\u652f\u6301\u6700\u5927\u957f\u5ea6 (tokens)<\/th>\n<th>\u591a\u8bed\u8a00\u80fd\u529b<\/th>\n<th>\u6210\u672c\u6a21\u5f0f<\/th>\n<th>\u9002\u7528\u573a\u666f<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>BGE-large-en-v1.5<\/strong><\/td>\n<td>\u5f00\u6e90<\/td>\n<td>~64.2<\/td>\n<td>1024<\/td>\n<td>512<\/td>\n<td>\u8f83\u5f31<\/td>\n<td>\u786c\u4ef6+\u7ef4\u62a4<\/td>\n<td>\u82f1\u8bed\u68c0\u7d22\uff0c\u53ef\u79c1\u6709\u5316\u90e8\u7f72<\/td>\n<\/tr>\n<tr>\n<td><strong>bge-large-zh-v1.5<\/strong><\/td>\n<td>\u5f00\u6e90<\/td>\n<td>(\u4e2d\u6587\u699c\u5355\u9886\u5148)<\/td>\n<td>1024<\/td>\n<td>512<\/td>\n<td>\u5f3a (\u4e2d\u6587)<\/td>\n<td>\u786c\u4ef6+\u7ef4\u62a4<\/td>\n<td>\u4e2d\u6587\u68c0\u7d22\uff0c\u6570\u636e\u654f\u611f\u4e1a\u52a1<\/td>\n<\/tr>\n<tr>\n<td><strong>OpenAI text-embedding-3-large<\/strong><\/td>\n<td>\u5546\u4e1aAPI<\/td>\n<td>~65.0<\/td>\n<td>3072 (\u53ef\u8c03)<\/td>\n<td>8191<\/td>\n<td>\u5f3a<\/td>\n<td>\u6309Token\u4ed8\u8d39<\/td>\n<td>\u8ffd\u6c42\u6781\u81f4\u6027\u80fd\uff0c\u591a\u8bed\u8a00\u5e94\u7528<\/td>\n<\/tr>\n<tr>\n<td><strong>OpenAI text-embedding-3-small<\/strong><\/td>\n<td>\u5546\u4e1aAPI<\/td>\n<td>~62.5<\/td>\n<td>1536 (\u53ef\u8c03)<\/td>\n<td>8191<\/td>\n<td>\u5f3a<\/td>\n<td>\u6309Token\u4ed8\u8d39<\/td>\n<td>\u9ad8\u6027\u4ef7\u6bd4\uff0c\u901a\u7528\u573a\u666f<\/td>\n<\/tr>\n<tr>\n<td><strong>Cohere embed-multilingual-v3.0<\/strong><\/td>\n<td>\u5546\u4e1aAPI<\/td>\n<td>~63.0<\/td>\n<td>1024<\/td>\n<td>512<\/td>\n<td>\u6781\u5f3a<\/td>\n<td>\u6309Token\u4ed8\u8d39<\/td>\n<td>\u4f01\u4e1a\u7ea7\u591a\u8bed\u8a00\u641c\u7d22\uff0cRAG<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><strong>\u5982\u4f55\u9009\u62e9\uff1f<\/strong><\/h4>\n<ul>\n<li><strong>\u521d\u521b\u516c\u53f8\/\u4e2a\u4eba\u9879\u76ee<\/strong>\uff1a \u4f18\u5148\u8003\u8651Sentence-Transformers\u5e93\u4e2d\u7684all-MiniLM-L6-v2\u6216E5-small-v2\u7b49\u8f7b\u91cf\u7ea7\u5f00\u6e90\u6a21\u578b\uff0c\u6210\u672c\u4f4e\uff0c\u4e0a\u624b\u5feb\u3002<\/li>\n<li><strong>\u6570\u636e\u654f\u611f\/\u9700\u8981\u5b9a\u5236\u5316\u7684\u4e2d\u6587\u4e1a\u52a1<\/strong>\uff1a \u5f3a\u70c8\u63a8\u8350 bge-large-zh-v1.5 \u8fdb\u884c\u79c1\u6709\u5316\u90e8\u7f72\u548c\u5fae\u8c03\u3002<\/li>\n<li><strong>\u8ffd\u6c42\u6781\u81f4\u6027\u80fd\/\u56fd\u9645\u5316\u4e1a\u52a1<\/strong>\uff1a \u5982\u679c\u9884\u7b97\u5145\u8db3\uff0cOpenAI text-embedding-3-large \u6216 Cohere embed-multilingual-v3.0 \u662f\u6700\u4f73\u9009\u62e9\u3002<\/li>\n<li><strong>\u901a\u7528\u578b\u9ad8\u6027\u4ef7\u6bd4\u5546\u4e1a\u65b9\u6848<\/strong>\uff1a OpenAI text-embedding-3-small \u662f\u4e00\u4e2a\u6781\u5177\u5438\u5f15\u529b\u7684\u9009\u9879\u3002<\/li>\n<\/ul>\n<h2>\u5982\u4f55\u4f7f\u7528\u6587\u672c\u5d4c\u5165\u6a21\u578b<\/h2>\n<p>\u5982\u4f55\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u5e94\u7528\u3002\u6838\u5fc3\u6b65\u9aa4\u5305\u62ec <strong>\u6587\u672c\u9884\u5904\u7406\u3001\u751f\u6210\u5d4c\u5165\u3001\u5b58\u50a8\u4e0e\u68c0\u7d22<\/strong> \u3002\u5c06\u4ee5\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u201c\u667a\u80fd\u95ee\u7b54\u7cfb\u7edf\u201d\uff08RAG\u96cf\u5f62\uff09\u4e3a\u4f8b\u8fdb\u884c\u8bf4\u660e\u3002<\/p>\n<h4><strong>\u573a\u666f\uff1a\u6784\u5efa\u667a\u80fd\u95ee\u7b54\/\u8bed\u4e49\u641c\u7d22\u7cfb\u7edf<\/strong><\/h4>\n<p><strong>\u4e1a\u52a1\u76ee\u6807\uff1a<\/strong> \u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5305\u542b\u6570\u767e\u9875\u4ea7\u54c1\u6587\u6863\u7684\u77e5\u8bc6\u5e93\uff0c\u5e0c\u671b\u7528\u6237\u80fd\u7528\u81ea\u7136\u8bed\u8a00\u63d0\u95ee\uff0c\u7cfb\u7edf\u80fd\u81ea\u52a8\u627e\u5230\u6700\u76f8\u5173\u7684\u6587\u6863\u7247\u6bb5\u6765\u56de\u7b54\u95ee\u9898\u3002<\/p>\n<p><strong>\u5b9e\u73b0\u6b65\u9aa4\u62c6\u89e3\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u6587\u6863\u52a0\u8f7d\u4e0e\u5207\u5206\uff08Chunking\uff09\uff1a<\/strong>\u00a0\u5c06\u6240\u6709\u4ea7\u54c1\u6587\u6863\u52a0\u8f7d\u8fdb\u6765\uff0c\u5e76\u6309\u7167\u4e00\u5b9a\u89c4\u5219\uff08\u5982\u6309\u6bb5\u843d\u3001\u6309\u56fa\u5b9a\u957f\u5ea6\uff09\u5207\u5206\u6210\u66f4\u5c0f\u7684\u6587\u672c\u5757\uff08Chunks\uff09\u3002\u5207\u5206\u662f\u4e3a\u4e86\u8ba9\u68c0\u7d22\u66f4\u7cbe\u786e\uff0c\u907f\u514d\u8fd4\u56de\u5197\u957f\u7684\u65e0\u5173\u5185\u5bb9\u00a0\u3002<\/li>\n<li><strong>\u751f\u6210\u5d4c\u5165\u5e76\u7d22\u5f15\uff08Embedding &#038; Indexing\uff09\uff1a<\/strong>\u00a0\u904d\u5386\u6bcf\u4e00\u4e2a\u6587\u672c\u5757\uff0c\u4f7f\u7528\u9009\u62e9\u597d\u7684\u5d4c\u5165\u6a21\u578b\u5c06\u5176\u8f6c\u6362\u4e3a\u4e00\u4e2a\u5411\u91cf\u3002\u7136\u540e\uff0c\u5c06\u8fd9\u4e9b\u6587\u672c\u5757\u548c\u5b83\u4eec\u5bf9\u5e94\u7684\u5411\u91cf\u5b58\u50a8\u5230\u4e00\u4e2a\u4e13\u95e8\u7684\u00a0<strong>\u5411\u91cf\u6570\u636e\u5e93<\/strong>\uff08Vector Database\uff09\u4e2d\uff0c\u5982 ChromaDB, Pinecone, Milvus \u7b49\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u662f\u4e00\u6b21\u6027\u7684\uff0c\u76f8\u5f53\u4e8e\u4e3a\u6211\u4eec\u7684\u201c\u56fe\u4e66\u9986\u201d\u5efa\u7acb\u7d22\u5f15\u00a0\u3002<\/li>\n<li><strong>\u7528\u6237\u67e5\u8be2\u4e0e\u68c0\u7d22\uff08Query &#038; Retrieval\uff09\uff1a<\/strong><br \/> a. \u5f53\u7528\u6237\u8f93\u5165\u4e00\u4e2a\u95ee\u9898\u65f6\uff08\u4f8b\u5982\uff0c\u201c\u5982\u4f55\u91cd\u7f6e\u8bbe\u5907\u5bc6\u7801\uff1f\u201d\uff09\uff0c\u540c\u6837\u4f7f\u7528\u90a3\u4e2a\u5d4c\u5165\u6a21\u578b\uff0c\u5c06\u8fd9\u4e2a\u95ee\u9898\u4e5f\u8f6c\u6362\u4e3a\u4e00\u4e2a\u5411\u91cf\uff08\u67e5\u8be2\u5411\u91cf\uff09\u3002<br \/> b. \u5728\u5411\u91cf\u6570\u636e\u5e93\u4e2d\uff0c\u6267\u884c\u00a0<strong>\u76f8\u4f3c\u5ea6\u641c\u7d22<\/strong>\u3002\u6700\u5e38\u7528\u7684\u7b97\u6cd5\u662f\u8ba1\u7b97\u67e5\u8be2\u5411\u91cf\u4e0e\u6570\u636e\u5e93\u4e2d\u6240\u6709\u5411\u91cf\u7684\u00a0<strong>\u4f59\u5f26\u76f8\u4f3c\u5ea6\uff08Cosine Similarity\uff09<\/strong>\u200d\u00a0\u3002\u4f59\u5f26\u76f8\u4f3c\u5ea6\u8861\u91cf\u4e24\u4e2a\u5411\u91cf\u5728\u65b9\u5411\u4e0a\u7684\u63a5\u8fd1\u7a0b\u5ea6\uff0c\u5f97\u5206\u8d8a\u9ad8\u4ee3\u8868\u8bed\u4e49\u8d8a\u76f8\u8fd1\u3002<br \/> c. \u8fd4\u56de\u76f8\u4f3c\u5ea6\u5f97\u5206\u6700\u9ad8\u7684Top-K\uff08\u6bd4\u5982\u524d3\u540d\uff09\u4e2a\u6587\u672c\u5757\u3002\u8fd9\u4e9b\u5c31\u662f\u4e0e\u7528\u6237\u95ee\u9898\u6700\u76f8\u5173\u7684\u5185\u5bb9\u3002<\/li>\n<li><strong>\u751f\u6210\u7b54\u6848\uff08Generation\uff09\uff1a<\/strong>\u00a0\uff08\u5728\u5b8c\u6574\u7684RAG\u6d41\u7a0b\u4e2d\uff09\u5c06\u7528\u6237\u539f\u59cb\u95ee\u9898\u548c\u68c0\u7d22\u5230\u7684\u76f8\u5173\u6587\u672c\u5757\u4e00\u8d77\u63d0\u4ea4\u7ed9\u4e00\u4e2a\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08\u5982GPT-4\uff09\uff0c\u8ba9\u5b83\u57fa\u4e8e\u8fd9\u4e9b\u4fe1\u606f\u751f\u6210\u4e00\u4e2a\u6d41\u7545\u3001\u51c6\u786e\u7684\u56de\u7b54\u3002<\/li>\n<\/ul>\n<h4><strong>\u4ee3\u7801\u5b9e\u6218\uff1a\u5f00\u6e90\u65b9\u6848 vs \u5546\u4e1a\u65b9\u6848<\/strong><\/h4>\n<p>\u4e0b\u9762\u662f\u4f7f\u7528\u4e24\u79cd\u4e0d\u540c\u65b9\u6848\u5b8c\u6210\u4e0a\u8ff0\u6b65\u9aa42\u548c3\u7684\u6838\u5fc3\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<p><strong>\u4ee3\u7801\u5b9e\u6218 1<\/strong>\uff1a\u4f7f\u7528 sentence-transformers (\u5f00\u6e90\u65b9\u6848)<\/p>\n<p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u5e93\uff1apip install sentence-transformers \u3002<\/p>\n<blockquote>\n<p>from sentence_transformers import SentenceTransformer, util<\/p>\n<p># 1. \u52a0\u8f7d\u4e00\u4e2a\u9884\u8bad\u7ec3\u7684\u5f00\u6e90\u6a21\u578b (\u4f8b\u5982 BGE-base)<br \/> # \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u80fd\u4f1a\u9009\u62e9\u66f4\u5f3a\u5927\u7684\u6a21\u578b\u5982 bge-large-zh-v1.5<br \/> model = SentenceTransformer(\u2018BAAI\/bge-base-en-v1.5\u2019)<\/p>\n<p># 2. \u51c6\u5907\u4f60\u7684\u77e5\u8bc6\u5e93\u6587\u672c\u5757 (\u8fd9\u91cc\u7528\u7b80\u5355\u5217\u8868\u4ee3\u66ff)<br \/> corpus = [<br \/> \u201cA man is eating food.\u201d,<br \/> \u201cA man is eating a piece of bread.\u201d,<br \/> \u201cThe girl is carrying a baby.\u201d,<br \/> \u201cA man is riding a horse.\u201d,<br \/> \u201cA woman is playing violin.\u201d,<br \/> \u201cTwo men pushed carts through the woods.\u201d,<br \/> \u201cA man is riding a white horse on an enclosed ground.\u201d,<br \/> \u201cA monkey is playing drums.\u201d,<br \/> \u201cA cheetah is running behind its prey.\u201d<br \/> ]<\/p>\n<p># 3. \u4e3a\u6240\u6709\u6587\u672c\u5757\u751f\u6210\u5d4c\u5165\u5411\u91cf (\u7d22\u5f15\u8fc7\u7a0b)<br \/> corpus_embeddings = model.encode(corpus, convert_to_tensor=True)<\/p>\n<p># 4. \u7528\u6237\u8f93\u5165\u67e5\u8be2<br \/> query = \u201cA man is riding a horse\u201d<\/p>\n<p># 5. \u4e3a\u67e5\u8be2\u751f\u6210\u5d4c\u5165\u5411\u91cf<br \/> query_embedding = model.encode(query, convert_to_tensor=True)<\/p>\n<p># 6. \u8ba1\u7b97\u4f59\u5f26\u76f8\u4f3c\u5ea6\uff0c\u5e76\u627e\u5230\u6700\u76f8\u4f3c\u7684\u6587\u672c<br \/> # util.cos_sim \u8ba1\u7b97\u76f8\u4f3c\u5ea6\u77e9\u9635, top_k=5 \u8868\u793a\u8fd4\u56de\u524d5\u4e2a\u6700\u76f8\u4f3c\u7684\u7ed3\u679c<br \/> hits = util.semantic_search(query_embedding, corpus_embeddings, top_k=5)<br \/> hits = hits[[0]] # \u83b7\u53d6\u7b2c\u4e00\u4e2a\u67e5\u8be2\u7684\u7ed3\u679c<\/p>\n<p>print(f\u201dQuery: {query}n\u201d)<br \/> print(\u201cTop 5 most similar sentences in corpus:\u201d)<br \/> for hit in hits:<br \/> print(f\u201d- {corpus[hit[\u2018corpus_id\u2019]]} (Score: {hit[\u2018score\u2019]:.4f})\u201d)<\/p>\n<\/blockquote>\n<p><strong>\u4ee3\u7801\u5b9e\u6218 2<\/strong>\uff1a\u8c03\u7528 OpenAI API (\u5546\u4e1a\u65b9\u6848)<\/p>\n<p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u5e93\u5e76\u8bbe\u7f6e\u4e86API\u5bc6\u94a5\uff1apip install openai\u3002<\/p>\n<blockquote>\n<p>import openai<br \/> from openai import OpenAI<br \/> import numpy as np<\/p>\n<p># 1. \u8bbe\u7f6e\u4f60\u7684OpenAI API\u5bc6\u94a5<br \/> # \u5efa\u8bae\u901a\u8fc7\u73af\u5883\u53d8\u91cf\u8bbe\u7f6e\uff0c\u8fd9\u91cc\u4e3a\u6f14\u793a\u76ee\u7684\u76f4\u63a5\u5199\u5165<br \/> client = OpenAI(api_key=\u201dYOUR_OPENAI_API_KEY\u201d)<\/p>\n<p># 2. \u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6765\u83b7\u53d6\u5d4c\u5165<br \/> def get_embedding(text, model=\u201dtext-embedding-3-small\u201d):<br \/> text = text.replace(\u201cn\u201d, \u201d \u201c)<br \/> response = client.embeddings.create(input=[text], model=model)<br \/> return response.data[[0]].embedding<\/p>\n<p># 3. \u4e3a\u77e5\u8bc6\u5e93\u548c\u67e5\u8be2\u751f\u6210\u5d4c\u5165<br \/> corpus = [<br \/> \u201c\u5982\u4f55\u8fde\u63a5\u84dd\u7259\u8033\u673a\uff1f\u201d,<br \/> \u201c\u6211\u7684\u8bbe\u5907\u65e0\u6cd5\u5f00\u673a\u600e\u4e48\u529e\uff1f\u201d,<br \/> \u201c\u5982\u4f55\u91cd\u7f6e\u6211\u7684\u8d26\u6237\u5bc6\u7801\uff1f\u201d,<br \/> \u201c\u4ea7\u54c1\u4fdd\u4fee\u653f\u7b56\u662f\u600e\u6837\u7684\uff1f\u201d<br \/> ]<br \/> query = \u201c\u6211\u5fd8\u8bb0\u5bc6\u7801\u4e86\uff0c\u600e\u4e48\u627e\u56de\uff1f\u201d<\/p>\n<p># \u7d22\u5f15\u8fc7\u7a0b\uff1a\u5bf9\u77e5\u8bc6\u5e93\u4e2d\u6bcf\u6761\u6587\u672c\u751f\u6210\u5d4c\u5165<br \/> corpus_embeddings = [get_embedding(text) for text in corpus]<\/p>\n<p># \u67e5\u8be2\u8fc7\u7a0b\uff1a\u5bf9\u7528\u6237\u95ee\u9898\u751f\u6210\u5d4c\u5165<br \/> query_embedding = get_embedding(query)<\/p>\n<p># 4. \u624b\u52a8\u8ba1\u7b97\u4f59\u5f26\u76f8\u4f3c\u5ea6<br \/> def cosine_similarity(a, b):<br \/> return np.dot(a, b) \/ (np.linalg.norm(a) * np.linalg.norm(b))<\/p>\n<p>similarities = [cosine_similarity(query_embedding, emb) for emb in corpus_embeddings]<\/p>\n<p># 5. \u627e\u5230\u6700\u76f8\u4f3c\u7684\u6761\u76ee<br \/> most_similar_index = np.argmax(similarities)<br \/> most_similar_sentence = corpus[most_similar_index]<br \/> highest_similarity = similarities[most_similar_index]<\/p>\n<p>print(f\u201dQuery: {query}\u201d)<br \/> print(f\u201dMost similar document: \u2018{most_similar_sentence}\u2019 with similarity: {highest_similarity:.4f}\u201d)<\/p>\n<\/blockquote>\n<blockquote>\n<p>\u6838\u5fc3\u903b\u8f91\u662f\u4e00\u81f4\u7684\uff1a<strong>\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u5411\u91cf\uff0c\u7136\u540e\u901a\u8fc7\u6570\u5b66\u8ba1\u7b97\u6765\u8861\u91cf\u8bed\u4e49\u7684\u8fdc\u8fd1<\/strong>\u3002<\/p>\n<\/blockquote>\n<h2>\u90e8\u7f72\u4e0e\u6210\u672c<\/h2>\n<p>\u4e00\u4e2a\u6a21\u578b\u5728\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8dd1\u5206\u518d\u9ad8\uff0c\u5982\u679c\u65e0\u6cd5\u7ecf\u6d4e\u9ad8\u6548\u5730\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\uff0c\u4e5f\u53ea\u662f\u201c\u5c60\u9f99\u4e4b\u6280\u201d\u3002\u90e8\u7f72\u548c\u6210\u672c\u662f\u6280\u672f\u9009\u578b\u4e2d\u81f3\u5173\u91cd\u8981\u7684\u73b0\u5b9e\u8003\u91cf\u3002<\/p>\n<h4><strong>\u4e24\u79cd\u90e8\u7f72\u8def\u5f84\uff1a\u4e91\u7aefAPI vs. \u79c1\u6709\u5316\u90e8\u7f72<\/strong><\/h4>\n<ul>\n<li><strong>\u4e91\u7aefAPI\uff08\u5982OpenAI, Cohere\uff09\uff1a<\/strong>\n<ul>\n<li><strong>\u4f18\u70b9\uff1a<\/strong>\u00a0\u96f6\u90e8\u7f72\u6210\u672c\uff0c\u5f00\u7bb1\u5373\u7528\uff0c\u65e0\u9700\u5173\u5fc3\u5e95\u5c42\u786c\u4ef6\u548c\u6a21\u578b\u7ef4\u62a4\uff0c\u53ef\u4ee5\u4eab\u53d7\u5382\u5546\u6301\u7eed\u8fed\u4ee3\u5e26\u6765\u7684\u6027\u80fd\u63d0\u5347\u3002<\/li>\n<li><strong>\u7f3a\u70b9\uff1a<\/strong>\u00a0\u6309\u91cf\u4ed8\u8d39\uff0c\u5927\u89c4\u6a21\u4f7f\u7528\u65f6\u6210\u672c\u53ef\u80fd\u5f88\u9ad8\u00a0\uff1b\u6570\u636e\u9700\u53d1\u9001\u81f3\u7b2c\u4e09\u65b9\u670d\u52a1\u5668\uff0c\u5b58\u5728\u6570\u636e\u9690\u79c1\u548c\u5b89\u5168\u98ce\u9669\uff1b\u670d\u52a1\u53ef\u80fd\u4e2d\u65ad\uff0c\u53d7\u7f51\u7edc\u5ef6\u8fdf\u5f71\u54cd\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u79c1\u6709\u5316\u90e8\u7f72\uff08\u5f00\u6e90\u6a21\u578b\uff09\uff1a<\/strong>\n<ul>\n<li><strong>\u4f18\u70b9\uff1a<\/strong>\u00a0\u6570\u636e\u5b8c\u5168\u5728\u81ea\u5df1\u7684\u638c\u63a7\u4e4b\u4e2d\uff0c\u5b89\u5168\u6027\u9ad8\uff1b\u4e00\u6b21\u6027\u786c\u4ef6\u6295\u5165\u540e\uff0c\u65e0\u6301\u7eed\u7684API\u8c03\u7528\u8d39\u7528\uff1b\u53ef\u9488\u5bf9\u7279\u5b9a\u4e1a\u52a1\u6570\u636e\u8fdb\u884c\u5fae\u8c03\uff0c\u5b9e\u73b0\u6700\u4f73\u6548\u679c\uff1b\u4e0d\u53d7\u7f51\u7edc\u6ce2\u52a8\u5f71\u54cd\u3002<\/li>\n<li><strong>\u7f3a\u70b9\uff1a<\/strong>\u00a0\u9700\u8981\u521d\u671f\u6295\u8d44\u8d2d\u4e70\u6216\u79df\u8d41GPU\u670d\u52a1\u5668\u00a0\uff1b\u9700\u8981\u4e13\u4e1a\u7684AI\u5de5\u7a0b\u5e08\u56e2\u961f\u8fdb\u884c\u6a21\u578b\u90e8\u7f72\u3001\u4f18\u5316\u548c\u7ef4\u62a4\uff1b\u6a21\u578b\u8fed\u4ee3\u66f4\u65b0\u9700\u8981\u81ea\u5df1\u8ddf\u8fdb\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4><strong>\u6838\u5fc3\u6027\u80fd\u6307\u6807\uff1a\u5ef6\u8fdf\u4e0e\u541e\u5410\u91cf<\/strong><\/h4>\n<p>\u5728\u8bc4\u4f30\u90e8\u7f72\u65b9\u6848\u65f6\uff0c\u6709\u4e24\u4e2a\u5173\u952e\u7684\u6027\u80fd\u6307\u6807\uff1a<\/p>\n<ul>\n<li><strong>\u5ef6\u8fdf\uff08Latency\uff09\uff1a<\/strong>\u00a0\u6307\u7cfb\u7edf\u5904\u7406\u5355\u4e2a\u8bf7\u6c42\u6240\u9700\u7684\u65f6\u95f4\u3002\u4f8b\u5982\uff0c\u4ece\u53d1\u9001\u4e00\u4e2a\u53e5\u5b50\u5230\u6536\u5230\u5176\u5d4c\u5165\u5411\u91cf\u6240\u82b1\u8d39\u7684\u6beb\u79d2\u6570\u3002\u4f4e\u5ef6\u8fdf\u5bf9\u4e8e\u5b9e\u65f6\u4ea4\u4e92\u5e94\u7528\uff08\u5982\u5728\u7ebf\u641c\u7d22\u3001\u804a\u5929\u673a\u5668\u4eba\uff09\u81f3\u5173\u91cd\u8981\uff0c\u76f4\u63a5\u5f71\u54cd\u7528\u6237\u4f53\u9a8c\u00a0\u3002<\/li>\n<li><strong>\u541e\u5410\u91cf\uff08Throughput\uff09\uff1a<\/strong>\u00a0\u6307\u7cfb\u7edf\u5728\u5355\u4f4d\u65f6\u95f4\u5185\u80fd\u591f\u5904\u7406\u7684\u8bf7\u6c42\u6570\u91cf\uff0c\u4f8b\u5982\u201c\u6bcf\u79d2\u67e5\u8be2\u6570\u201d\uff08Queries Per Second, QPS\uff09\u3002\u9ad8\u541e\u5410\u91cf\u5bf9\u4e8e\u9700\u8981\u5904\u7406\u5927\u91cf\u5e76\u53d1\u8bf7\u6c42\u7684\u540e\u53f0\u670d\u52a1\uff08\u5982\u5927\u89c4\u6a21\u6587\u6863\u7d22\u5f15\uff09\u81f3\u5173\u91cd\u8981\u00a0\u3002<\/li>\n<\/ul>\n<p>\u5ef6\u8fdf\u548c\u541e\u5410\u91cf\u662f\u76f8\u4e92\u5236\u7ea6\u7684\u3002\u901a\u8fc7\u6279\u5904\u7406\uff08Batching\uff0c\u4e00\u6b21\u5904\u7406\u591a\u4e2a\u8bf7\u6c42\uff09\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u541e\u5410\u91cf\uff0c\u4f46\u53ef\u80fd\u4f1a\u589e\u52a0\u5355\u4e2a\u8bf7\u6c42\u7684\u5ef6\u8fdf\u3002<\/p>\n<h4><strong>\u6210\u672c\u6784\u6210\u5206\u6790<\/strong><\/h4>\n<ul>\n<li><strong>\u5546\u4e1aAPI\u6210\u672c\uff1a<\/strong>\u00a0\u975e\u5e38\u900f\u660e\uff0c\u901a\u5e38\u4ee5\u201c\u6bcf\u767e\u4e07token\u201d\u4e3a\u5355\u4f4d\u8ba1\u4ef7\u3002\u4f8b\u5982\uff0cOpenAI\u7684<code>text-embedding-3-small<\/code>\u6a21\u578b\u7684\u4ef7\u683c\u5927\u7ea6\u662f\u6bcf\u767e\u4e07token 0.02\u7f8e\u5143\u3002\u4f60\u9700\u8981\u4f30\u7b97\u4f60\u7684\u5e94\u7528\u6bcf\u6708\u9700\u8981\u5904\u7406\u7684\u6587\u672c\u91cf\u6765\u9884\u6d4b\u6210\u672c\u3002<\/li>\n<li><strong>\u79c1\u6709\u5316\u90e8\u7f72\u6210\u672c\uff1a<\/strong>\u00a0\u6784\u6210\u66f4\u590d\u6742\u3002\n<ul>\n<li><strong>\u786c\u4ef6\u6210\u672c\uff1a<\/strong>\u00a0\u8d2d\u4e70\u6216\u79df\u8d41\u9ad8\u6027\u80fdGPU\uff08\u5982NVIDIA A100, H100\uff09\u7684\u8d39\u7528\uff0c\u8fd9\u662f\u6700\u5927\u7684\u4e00\u7b14\u5f00\u9500\u3002<\/li>\n<li><strong>\u4eba\u529b\u6210\u672c\uff1a<\/strong>\u00a0\u62db\u8058\u548c\u7ef4\u6301\u4e00\u4e2aAI\/MLOps\u56e2\u961f\u7684\u85aa\u8d44\u3002<\/li>\n<li><strong>\u7535\u529b\u4e0e\u7ef4\u62a4\u6210\u672c\uff1a<\/strong>\u00a0\u670d\u52a1\u5668\u8fd0\u884c\u6240\u9700\u7684\u7535\u8d39\u548c\u673a\u623f\u7ef4\u62a4\u8d39\u7528\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u4e00\u4e9b\u7814\u7a76\u548c\u5b9e\u9645\u6848\u4f8b\u5206\u6790\u663e\u793a\uff0c\u5bf9\u4e8e\u5927\u89c4\u6a21\u3001\u9ad8\u9891\u6b21\u7684\u5d4c\u5165\u9700\u6c42\uff0c\u79c1\u6709\u5316\u90e8\u7f72\u7684\u957f\u671f\u603b\u62e5\u6709\u6210\u672c\uff08TCO\uff09\u53ef\u80fd\u4f1a\u4f4e\u4e8e\u6301\u7eed\u652f\u4ed8API\u8d39\u7528\u3002<\/p>\n<h4><strong>\u6210\u672c\u4e0e\u6548\u76ca\u7684\u6743\u8861<\/strong><\/h4>\n<table>\n<thead>\n<tr>\n<th>\u8003\u91cf\u7ef4\u5ea6<\/th>\n<th>\u4e91\u7aef API<\/th>\n<th>\u79c1\u6709\u5316\u90e8\u7f72<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\u521d\u671f\u6210\u672c<\/strong><\/td>\n<td>\u4f4e (\u51e0\u4e4e\u4e3a\u96f6)<\/td>\n<td>\u9ad8 (\u786c\u4ef6\/\u4eba\u529b)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u957f\u671f\u6210\u672c<\/strong><\/td>\n<td>\u968f\u4f7f\u7528\u91cf\u7ebf\u6027\u589e\u957f\uff0c\u53ef\u80fd\u5f88\u9ad8<\/td>\n<td>\u76f8\u5bf9\u56fa\u5b9a\uff0c\u644a\u8584\u540e\u53ef\u80fd\u8f83\u4f4e<\/td>\n<\/tr>\n<tr>\n<td><strong>\u6570\u636e\u9690\u79c1<\/strong><\/td>\n<td>\u8f83\u4f4e (\u6570\u636e\u79bb\u5883)<\/td>\n<td>\u9ad8 (\u6570\u636e\u5728\u5185\u90e8)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u6027\u80fd\u63a7\u5236<\/strong><\/td>\n<td>\u6709\u9650 (\u4f9d\u8d56\u670d\u52a1\u5546)<\/td>\n<td>\u9ad8 (\u53ef\u81ea\u884c\u4f18\u5316\u3001\u5fae\u8c03)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u7ef4\u62a4\u590d\u6742\u5ea6<\/strong><\/td>\n<td>\u4f4e<\/td>\n<td>\u9ad8<\/td>\n<\/tr>\n<tr>\n<td><strong>\u4e0a\u5e02\u65f6\u95f4<\/strong><\/td>\n<td>\u5feb<\/td>\n<td>\u6162<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>\u51b3\u7b56\u5efa\u8bae\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u63a2\u7d22\u548c\u9a8c\u8bc1\u9636\u6bb5\uff1a<\/strong>\u00a0\u4f7f\u7528\u4e91\u7aefAPI\uff0c\u5feb\u901f\u9a8c\u8bc1\u4ea7\u54c1\u60f3\u6cd5\u3002<\/li>\n<li><strong>\u4e2d\u5c0f\u578b\u4e1a\u52a1\/\u975e\u6838\u5fc3\u4e1a\u52a1\uff1a<\/strong>\u00a0\u7ee7\u7eed\u4f7f\u7528\u4e91\u7aefAPI\uff0c\u4e13\u6ce8\u4e8e\u4e1a\u52a1\u903b\u8f91\u5f00\u53d1\u3002<\/li>\n<li><strong>\u5927\u89c4\u6a21\u4e1a\u52a1\/\u6838\u5fc3\u4e1a\u52a1\/\u6570\u636e\u654f\u611f\u884c\u4e1a\uff08\u91d1\u878d\u3001\u533b\u7597\uff09\uff1a<\/strong>\u00a0\u8ba4\u771f\u8003\u8651\u79c1\u6709\u5316\u90e8\u7f72\uff0c\u6784\u5efa\u957f\u671f\u7684\u6280\u672f\u62a4\u57ce\u6cb3\u3002<\/li>\n<\/ul>\n<h2>\u672a\u6765\u8d8b\u52bf<\/h2>\n<p>\u6587\u672c\u5d4c\u5165\u6280\u672f\u4ecd\u5728\u98de\u901f\u53d1\u5c55\uff0c\u672a\u6765\u7684\u65b9\u5411\u503c\u5f97\u671f\u5f85\uff1a<\/p>\n<ul>\n<li><strong>\u591a\u6a21\u6001\u5d4c\u5165\uff1a<\/strong>\u00a0\u6a21\u578b\u5c06\u4e0d\u4ec5\u80fd\u7406\u89e3\u6587\u672c\uff0c\u8fd8\u80fd\u540c\u65f6\u7406\u89e3\u56fe\u50cf\u3001\u58f0\u97f3\u548c\u89c6\u9891\uff0c\u5c06\u5b83\u4eec\u5d4c\u5165\u5230\u540c\u4e00\u4e2a\u8bed\u4e49\u7a7a\u95f4\u4e2d\u3002\u5c4a\u65f6\uff0c\u4f60\u53ef\u4ee5\u7528\u201c\u4e00\u53ea\u6b63\u5728\u5f39\u94a2\u7434\u7684\u732b\u201d\u8fd9\u5f20\u56fe\u7247\u53bb\u641c\u7d22\u76f8\u5173\u7684\u89c6\u9891\u6216\u6587\u5b57\u63cf\u8ff0\u3002<\/li>\n<li><strong>\u66f4\u957f\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\uff1a<\/strong>\u00a0\u5f53\u524d\u6a21\u578b\u5bf9\u5904\u7406\u957f\u6587\u6863\uff08\u5982\u6574\u672c\u4e66\uff09\u4ecd\u7136\u6709\u6311\u6218\u3002\u672a\u6765\u7684\u6a21\u578b\u5c06\u62e5\u6709\u66f4\u957f\u7684\u4e0a\u4e0b\u6587\u7406\u89e3\u80fd\u529b\uff0c\u80fd\u591f\u751f\u6210\u4ee3\u8868\u6574\u7bc7\u957f\u6587\u7684\u9ad8\u8d28\u91cf\u5d4c\u5165\u3002<\/li>\n<li><strong>\u6a21\u578b\u538b\u7f29\u4e0e\u6548\u7387\u63d0\u5347\uff1a<\/strong>\u00a0\u968f\u7740\u6a21\u578b\u8d8a\u6765\u8d8a\u5927\uff0c\u5982\u4f55\u5728\u4fdd\u6301\u9ad8\u6027\u80fd\u7684\u540c\u65f6\u964d\u4f4e\u5176\u5c3a\u5bf8\u3001\u80fd\u8017\u548c\u63a8\u7406\u5ef6\u8fdf\uff0c\u5c06\u662f\u5b66\u672f\u754c\u548c\u5de5\u4e1a\u754c\u6301\u7eed\u5173\u6ce8\u7684\u91cd\u70b9\u3002\u5404\u79cd\u91cf\u5316\u3001\u84b8\u998f\u6280\u672f\u5c06\u66f4\u52a0\u6210\u719f\u3002<\/li>\n<li><strong>\u9886\u57df\u81ea\u9002\u5e94\u4e0e\u4e2a\u6027\u5316\uff1a<\/strong>\u00a0\u672a\u6765\u7684\u5d4c\u5165\u6a21\u578b\u5c06\u66f4\u5bb9\u6613\u3001\u66f4\u4f4e\u6210\u672c\u5730\u9002\u5e94\u7279\u5b9a\u4e13\u4e1a\u9886\u57df\uff08\u5982\u6cd5\u5f8b\u3001\u533b\u7597\uff09\u7684\u8bed\u6599\uff0c\u751a\u81f3\u80fd\u4e3a\u6bcf\u4e2a\u7528\u6237\u751f\u6210\u4e2a\u6027\u5316\u7684\u5d4c\u5165\u7a7a\u95f4\uff0c\u4ece\u800c\u63d0\u4f9b\u66f4\u7cbe\u51c6\u7684\u670d\u52a1\u3002<\/li>\n<\/ul>\n<h4><strong>\u7ed9\u666e\u901a\u7528\u6237\u7684\u5efa\u8bae<\/strong><\/h4>\n<p>\u4f5c\u4e3a\u975e\u4e13\u4e1a\u6280\u672f\u4eba\u5458\uff0c\u65e0\u9700\u6df1\u9677\u4e8e\u590d\u6742\u7684\u6570\u5b66\u516c\u5f0f\u6216\u6a21\u578b\u67b6\u6784\u7684\u6bcf\u4e00\u4e2a\u7ec6\u8282 \u3002\u66f4\u91cd\u8981\u7684\u662f\u7406\u89e3\u8fd9\u9879\u6280\u672f\u7684\u00a0<strong>\u80fd\u529b\u8fb9\u754c<\/strong>\u00a0\u548c\u00a0<strong>\u5e94\u7528\u4ef7\u503c<\/strong>\u3002<\/p>\n<ul>\n<li><strong>\u591a\u52a8\u624b\u5c1d\u8bd5\uff1a<\/strong>\u00a0\u5229\u7528\u00a0<code>Hugging Face<\/code>\u00a0\u5e73\u53f0\u6216\u00a0<code>OpenAI 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