{"id":14900,"date":"2024-12-08T09:00:09","date_gmt":"2024-12-08T01:00:09","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=14900"},"modified":"2025-01-14T17:37:48","modified_gmt":"2025-01-14T09:37:48","slug":"aigongchengxueyuanti","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/aigongchengxueyuanti\/","title":{"rendered":"AI\u5de5\u7a0b\u5b66\u9662\uff1a1.\u63d0\u793a\u5de5\u7a0b"},"content":{"rendered":"<h2>\ud83d\ude80 \u63d0\u793a\u5de5\u7a0b<\/h2>\n<p>\u63d0\u793a\u5de5\u7a0b\uff08Prompt Engineering\uff09\u662f\u751f\u6210\u5f0f AI \u65f6\u4ee3\u7684\u4e00\u9879\u5173\u952e\u6280\u80fd\uff0c\u8fd9\u662f\u4e00\u95e8\u8bbe\u8ba1\u6709\u6548\u6307\u4ee4\u6765\u5f15\u5bfc\u8bed\u8a00\u6a21\u578b\u751f\u6210\u671f\u671b\u8f93\u51fa\u7684\u827a\u672f\u4e0e\u79d1\u5b66\u3002\u636e DataCamp \u62a5\u9053\uff0c\u8fd9\u4e00\u65b0\u5174\u5b66\u79d1\u6d89\u53ca\u8bbe\u8ba1\u548c\u4f18\u5316\u63d0\u793a\uff0c\u4ee5\u4ece AI 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[4]\u3002<\/li>\n<li>\u6210\u672c\u6548\u7387\uff1a\u4f18\u5316\u63d0\u793a\u8bcd\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u5229\u7528\u8ba1\u7b97\u8d44\u6e90\uff0c\u51cf\u5c11\u5bf9\u66f4\u5927\u3001\u66f4\u6602\u8d35\u6a21\u578b\u7684\u9700\u6c42\uff0c\u4ee5\u5b9e\u73b0\u9884\u671f\u7ed3\u679c\u3002<\/li>\n<li>\u5feb\u901f\u539f\u578b\u548c\u8fed\u4ee3\uff1a\u63d0\u793a\u5de5\u7a0b\u652f\u6301\u5feb\u901f\u5b9e\u9a8c\u548c AI \u5e94\u7528\u7684\u4f18\u5316\uff0c\u52a0\u901f\u5f00\u53d1\u5468\u671f\u548c\u521b\u65b0\u3002<\/li>\n<li>\u9053\u5fb7\u8003\u91cf\uff1a\u5468\u5230\u7684\u63d0\u793a\u8bbe\u8ba1\u6709\u52a9\u4e8e\u786e\u4fdd AI 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CoT \u7684\u589e\u5f3a\uff0c\u81ea\u6d3d\u6027\u65b9\u6cd5\u5305\u62ec\u91c7\u6837\u591a\u79cd\u63a8\u7406\u8def\u5f84\u5e76\u9009\u62e9\u6700\u4e00\u81f4\u7684\u7b54\u6848\u3002\u8fd9\u79cd\u65b9\u6cd5\u5728\u5b58\u5728\u591a\u79cd\u6709\u6548\u89e3\u51b3\u65b9\u6cd5\u7684\u95ee\u9898\u4e2d\u7279\u522b\u6709\u6548\uff0c\u56e0\u4e3a\u5b83\u5141\u8bb8\u6a21\u578b\u5728\u786e\u5b9a\u6700\u53ef\u9760\u7684\u7ed3\u679c\u4e4b\u524d\u63a2\u7d22\u591a\u79cd\u63a8\u7406\u7b56\u7565\u3002<\/p>\n<h4>ReAct<\/h4>\n<p><a href=\"https:\/\/www.kdjingpai.com\/pt\/react\/\">ReAct<\/a> \u6280\u672f\u7ed3\u5408\u4e86\u63a8\u7406\u548c\u884c\u52a8\uff0c\u6a21\u578b\u540c\u65f6\u751f\u6210\u63a8\u7406\u8fc7\u7a0b\u548c\u4efb\u52a1\u7279\u5b9a\u7684\u64cd\u4f5c\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f AI \u80fd\u591f\u52a8\u6001\u5730\u8ba1\u5212\u3001\u6267\u884c\u5e76\u8c03\u6574\u5176\u65b9\u6cd5\uff0c\u975e\u5e38\u9002\u5408\u9700\u8981\u4e0e\u5916\u90e8\u4fe1\u606f\u6e90\u4ea4\u4e92\u7684\u590d\u6742\u95ee\u9898\u89e3\u51b3\u573a\u666f\u3002<\/p>\n<h4>\u591a\u6a21\u6001\u63d0\u793a\u5de5\u7a0b<\/h4>\n<p>\u6b64\u9ad8\u7ea7\u6280\u672f\u6d89\u53ca\u8bbe\u8ba1\u5305\u542b\u591a\u79cd\u8f93\u5165\u7c7b\u578b\u7684\u63d0\u793a\uff0c\u4f8b\u5982\u6587\u672c\u3001\u56fe\u50cf\u548c\u97f3\u9891\u3002\u901a\u8fc7\u5229\u7528\u591a\u6837\u5316\u7684\u6570\u636e\u7c7b\u578b\uff0c\u591a\u6a21\u6001\u63d0\u793a\u4f7f AI \u4ea4\u4e92\u66f4\u5168\u9762\u548c\u4e0a\u4e0b\u6587\u76f8\u5173\uff0c\u6a21\u4eff\u4eba\u7c7b\u7684\u611f\u77e5\u548c\u6c9f\u901a\u80fd\u529b\u3002<\/p>\n<h4>\u5b9e\u65f6\u63d0\u793a\u4f18\u5316<\/h4>\n<p>\u8fd9\u4e00\u65b0\u5174\u6280\u672f\u63d0\u4f9b\u4e86\u5bf9\u63d0\u793a\u6709\u6548\u6027\u7684\u5373\u65f6\u53cd\u9988\uff0c\u8bc4\u4f30\u63d0\u793a\u7684\u6e05\u6670\u5ea6\u3001\u6f5c\u5728\u504f\u89c1\u548c\u4e0e\u671f\u671b\u7ed3\u679c\u7684\u5bf9\u9f50\u7a0b\u5ea6\u3002\u8fd9\u6837\u7684\u5b9e\u65f6\u6307\u5bfc\u7b80\u5316\u4e86\u63d0\u793a\u7f16\u5199\u7684\u8fc7\u7a0b\uff0c\u9002\u7528\u4e8e\u65b0\u624b\u548c\u6709\u7ecf\u9a8c\u7684\u7528\u6237\u3002<\/p>\n<h4>\u4e3b\u52a8\u63d0\u793a<\/h4>\n<p>\u8fd9\u79cd\u52a8\u6001\u65b9\u6cd5\u5141\u8bb8\u6839\u636e\u7528\u6237\u7684\u4ea4\u4e92\u548c\u53cd\u9988\u8c03\u6574\u63d0\u793a\u3002\u4e3b\u52a8\u63d0\u793a\u4f7f AI \u6a21\u578b\u80fd\u591f\u5b9e\u65f6\u9002\u5e94\u5176\u54cd\u5e94\uff0c\u4ece\u800c\u5728\u6574\u4e2a\u4ea4\u4e92\u8fc7\u7a0b\u4e2d\u63d0\u9ad8\u8f93\u51fa\u7684\u76f8\u5173\u6027\u548c\u6709\u6548\u6027\u3002<\/p>\n<h4>\u77e5\u8bc6\u751f\u6210\u63d0\u793a<\/h4>\n<p>\u6b64\u6280\u672f\u5229\u7528\u8bed\u8a00\u6a21\u578b\u5728\u56de\u7b54\u95ee\u9898\u524d\u751f\u6210\u76f8\u5173\u77e5\u8bc6\uff0c\u589e\u5f3a\u5176\u5e38\u8bc6\u63a8\u7406\u80fd\u529b\u3002\u901a\u8fc7\u5148\u751f\u6210\u76f8\u5173\u4fe1\u606f\u518d\u5c06\u5176\u878d\u5165\u56de\u7b54\uff0c\u6a21\u578b\u53ef\u4ee5\u63d0\u4f9b\u66f4\u6709\u89c1\u5730\u548c\u4e0a\u4e0b\u6587\u7684\u56de\u5e94\u3002<\/p>\n<p>\u8fd9\u4e9b\u9ad8\u7ea7\u6280\u672f\u4ee3\u8868\u4e86\u63d0\u793a\u5de5\u7a0b\u7684\u524d\u6cbf\uff0c\u4e3a\u4f18\u5316 AI \u6027\u80fd\u5728\u5e7f\u6cdb\u7684\u5e94\u7528\u9886\u57df\u548c\u95ee\u9898\u9886\u57df\u4e2d\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u3002<\/p>\n<h3>\u8fde\u8d2f\u601d\u7ef4<\/h3>\n<p>\u8fde\u8d2f\u601d\u7ef4\uff08CoT\uff09\u63a8\u7406\u662f\u4e00\u79cd\u5148\u8fdb\u7684\u63d0\u793a\u5de5\u7a0b\u6280\u672f\uff0c\u65e8\u5728\u589e\u5f3a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002\u6b64\u65b9\u6cd5\u6d89\u53ca\u4e3a\u7ed9\u5b9a\u95ee\u9898\u751f\u6210\u591a\u79cd\u63a8\u7406\u8def\u5f84\uff0c\u5e76\u9009\u62e9\u6700\u4e00\u81f4\u6216\u5168\u9762\u7684\u89e3\u51b3\u65b9\u6848\u3002\u901a\u8fc7\u6267\u884c\u591a\u6b21 CoT \u63a8\u7406\uff0c\u63d0\u793a\u5de5\u7a0b\u5e08\u53ef\u4ee5\u63d0\u5347\u6a21\u578b\u89e3\u51b3\u9700\u8981\u903b\u8f91\u601d\u8003\u548c\u591a\u6b65\u9aa4\u95ee\u9898\u7684\u80fd\u529b\u3002<\/p>\n<h4>CoT \u63a8\u7406\u7684\u5173\u952e\u8981\u70b9<\/h4>\n<ul>\n<li><strong>\u81ea\u6d3d\u89e3\u7801<\/strong>\uff1a\u9009\u62e9\u591a\u6b21\u63a8\u7406\u4e2d\u6700\u5e38\u89c1\u7684\u7ed3\u8bba\u3002<\/li>\n<li><strong>\u57fa\u4e8e\u590d\u6742\u6027\u7684\u63d0\u793a<\/strong>\uff1a\u9009\u62e9\u63a8\u7406\u94fe\u6700\u957f\u7684\u7ed3\u679c\u3002<\/li>\n<li><strong>\u4eba\u5de5\u5e72\u9884<\/strong>\uff1a\u5728\u63a8\u7406\u7ed3\u679c\u663e\u8457\u4e0d\u4e00\u81f4\u65f6\uff0c\u501f\u52a9\u4eba\u5de5\u4fee\u6b63\u63a8\u7406\u94fe\u3002<\/li>\n<li><strong>\u63d0\u5347\u51c6\u786e\u6027<\/strong>\uff1a\u63d0\u9ad8\u6a21\u578b\u5728\u6d89\u53ca\u63a8\u7406\u3001\u8ba1\u7b97\u548c\u51b3\u7b56\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u5229\u7528 CoT \u63a8\u7406\uff0c\u63d0\u793a\u5de5\u7a0b\u5e08\u53ef\u4ee5\u521b\u5efa\u66f4\u52a0\u7a33\u5065\u548c\u53ef\u9760\u7684 AI \u7cfb\u7edf\uff0c\u80fd\u591f\u5728\u5404\u4e2a\u9886\u57df\u5904\u7406\u590d\u6742\u95ee\u9898\u3002<\/p>\n<h3>ReAct \u63d0\u793a\u6cd5\u793a\u4f8b<\/h3>\n<p>ReAct\uff08Reasoning and Acting\uff09\u63d0\u793a\u6cd5\u662f\u4e00\u79cd\u9ad8\u7ea7\u6280\u672f\uff0c\u5b83\u7ed3\u5408\u4e86\u63a8\u7406\u8fc7\u7a0b\u548c\u7279\u5b9a\u4efb\u52a1\u7684\u884c\u52a8\u6765\u589e\u5f3a\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u7684\u95ee\u9898\u89e3\u51b3\u80fd\u529b\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u5f97 LLMs \u80fd\u591f\u4ea4\u66ff\u751f\u6210\u8bed\u8a00\u63a8\u7406\u6b65\u9aa4\u548c\u6267\u884c\u64cd\u4f5c\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u9ad8\u6548\u548c\u52a8\u6001\u7684\u95ee\u9898\u89e3\u51b3\u3002<\/p>\n<h4>\u4e00\u4e2a\u5178\u578b\u7684 ReAct \u63d0\u793a<\/h4>\n<ol>\n<li><strong>\u601d\u8003\uff08Thought\uff09<\/strong>\uff1a\u6a21\u578b\u7684\u63a8\u7406\u8fc7\u7a0b\u3002<\/li>\n<li><strong>\u884c\u52a8\uff08Action\uff09<\/strong>\uff1a\u9700\u8981\u6267\u884c\u7684\u5177\u4f53\u4efb\u52a1\u6216\u67e5\u8be2\u3002<\/li>\n<li><strong>\u89c2\u5bdf\uff08Observation\uff09<\/strong>\uff1a\u4ece\u884c\u52a8\u4e2d\u83b7\u5f97\u7684\u7ed3\u679c\u6216\u4fe1\u606f\u3002<\/li>\n<\/ol>\n<h5>\u793a\u4f8b<\/h5>\n<p><strong>\u95ee\u9898<\/strong>\uff1a\u57c3\u83f2\u5c14\u94c1\u5854\u6240\u5728\u56fd\u5bb6\u7684\u9996\u90fd\u662f\u54ea\u91cc\uff1f<\/p>\n<ol>\n<li><strong>\u601d\u8003<\/strong>\uff1a\u8981\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u6211\u9700\u8981\u627e\u51fa\u57c3\u83f2\u5c14\u94c1\u5854\u6240\u5728\u7684\u5730\u70b9\uff0c\u7136\u540e\u786e\u5b9a\u8be5\u56fd\u5bb6\u7684\u9996\u90fd\u3002<\/li>\n<li><strong>\u884c\u52a8<\/strong>\uff1a\u641c\u7d22\u201c\u57c3\u83f2\u5c14\u94c1\u5854\u7684\u4f4d\u7f6e\u201d\u3002<\/li>\n<li><strong>\u89c2\u5bdf<\/strong>\uff1a\u57c3\u83f2\u5c14\u94c1\u5854\u4f4d\u4e8e\u6cd5\u56fd\u5df4\u9ece\u3002<\/li>\n<li><strong>\u601d\u8003<\/strong>\uff1a\u73b0\u5728\u6211\u77e5\u9053\u57c3\u83f2\u5c14\u94c1\u5854\u5728\u6cd5\u56fd\uff0c\u6211\u9700\u8981\u67e5\u627e\u6cd5\u56fd\u7684\u9996\u90fd\u3002<\/li>\n<li><strong>\u884c\u52a8<\/strong>\uff1a\u641c\u7d22\u201c\u6cd5\u56fd\u7684\u9996\u90fd\u201d\u3002<\/li>\n<li><strong>\u89c2\u5bdf<\/strong>\uff1a\u6cd5\u56fd\u7684\u9996\u90fd\u662f\u5df4\u9ece\u3002<\/li>\n<li><strong>\u601d\u8003<\/strong>\uff1a\u6211\u5df2\u83b7\u5f97\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\u6240\u9700\u7684\u5168\u90e8\u4fe1\u606f\u3002<\/li>\n<li><strong>\u884c\u52a8<\/strong>\uff1a\u63d0\u4f9b\u7b54\u6848\u3002<\/li>\n<li><strong>\u7b54\u6848<\/strong>\uff1a\u57c3\u83f2\u5c14\u94c1\u5854\u6240\u5728\u56fd\u5bb6\u7684\u9996\u90fd\u662f\u6cd5\u56fd\u5df4\u9ece\u3002<\/li>\n<\/ol>\n<h4>ReAct \u63d0\u793a\u6cd5\u7684\u5e94\u7528<\/h4>\n<ul>\n<li><strong>\u95ee\u7b54<\/strong>\uff1a\u589e\u5f3a\u6a21\u578b\u5206\u89e3\u590d\u6742\u95ee\u9898\u548c\u83b7\u53d6\u76f8\u5173\u4fe1\u606f\u7684\u80fd\u529b\u3002<\/li>\n<li><strong>\u4efb\u52a1\u81ea\u52a8\u5316<\/strong>\uff1a\u901a\u8fc7\u7ed3\u5408\u63a8\u7406\u548c\u884c\u52a8\uff0c\u5f15\u5bfc\u6a21\u578b\u5b8c\u6210\u591a\u6b65\u9aa4\u6d41\u7a0b\u3002<\/li>\n<li><strong>\u4e0e\u5916\u90e8\u77e5\u8bc6\u5e93\u4ea4\u4e92<\/strong>\uff1a\u4f7f\u6a21\u578b\u80fd\u591f\u68c0\u7d22\u5e76\u7ed3\u5408\u989d\u5916\u4fe1\u606f\u652f\u6301\u5176\u63a8\u7406\u3002<\/li>\n<li><strong>\u51b3\u7b56\u5236\u5b9a<\/strong>\uff1a\u63d0\u9ad8\u6a21\u578b\u8bc4\u4f30\u9009\u9879\u5e76\u57fa\u4e8e\u53ef\u7528\u6570\u636e\u505a\u51fa\u660e\u667a\u9009\u62e9\u7684\u80fd\u529b\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u5b9e\u65bd ReAct \u63d0\u793a\u6cd5\uff0c\u5f00\u53d1\u8005\u548c\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u521b\u5efa\u66f4\u5f3a\u5927\u4e14\u9002\u5e94\u6027\u66f4\u5f3a\u7684 AI \u7cfb\u7edf\uff0c\u4ece\u800c\u80dc\u4efb\u590d\u6742\u7684\u63a8\u7406\u4efb\u52a1\u548c\u73b0\u5b9e\u95ee\u9898\u89e3\u51b3\u573a\u666f\u3002<\/p>\n<h3>\u5b9a\u5411\u523a\u6fc0\u63d0\u793a\u6cd5<\/h3>\n<p>\u5b9a\u5411\u523a\u6fc0\u63d0\u793a\u6cd5\uff08Directional Stimulus Prompting\uff0cDSP\uff09\u662f\u4e00\u79cd\u521b\u65b0\u6846\u67b6\uff0c\u7528\u4e8e\u5f15\u5bfc\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u751f\u6210\u7279\u5b9a\u7684\u9884\u671f\u8f93\u51fa\u3002\u8be5\u6280\u672f\u5229\u7528\u4e00\u4e2a\u5c0f\u578b\u3001\u53ef\u8c03\u8282\u7684\u7b56\u7565\u6a21\u578b\uff0c\u4e3a\u6bcf\u4e2a\u8f93\u5165\u5b9e\u4f8b\u751f\u6210\u8f85\u52a9\u7684\u5b9a\u5411\u523a\u6fc0\u63d0\u793a\uff0c\u4f5c\u4e3a\u7ec6\u81f4\u7684\u63d0\u793a\uff0c\u5f15\u5bfc LLMs \u751f\u6210\u671f\u671b\u7684\u7ed3\u679c\u3002<\/p>\n<h4>DSP \u7684\u5173\u952e\u7279\u70b9<\/h4>\n<ul>\n<li>\u5229\u7528\u5c0f\u578b\u3001\u53ef\u8c03\u8282\u7684\u7b56\u7565\u6a21\u578b\uff08\u5982 T5\uff09\u751f\u6210\u5b9a\u5411\u523a\u6fc0\u3002<\/li>\n<li>\u901a\u8fc7\u76d1\u7763\u5fae\u8c03\u548c\u5f3a\u5316\u5b66\u4e60\u8fdb\u884c\u4f18\u5316\u3002<\/li>\n<li>\u53ef\u5e94\u7528\u4e8e\u591a\u79cd\u4efb\u52a1\uff0c\u5305\u62ec\u6458\u8981\u751f\u6210\u3001\u5bf9\u8bdd\u56de\u590d\u751f\u6210\u548c\u94fe\u5f0f\u63a8\u7406\u3002<\/li>\n<li>\u5728\u6709\u9650\u6807\u6ce8\u6570\u636e\u4e0b\u663e\u8457\u63d0\u5347\u6027\u80fd\uff0c\u4f8b\u5982\u5728\u4ec5\u4f7f\u7528 80 \u6761\u5bf9\u8bdd\u7684\u60c5\u51b5\u4e0b\uff0c\u5c06 <a href=\"https:\/\/www.kdjingpai.com\/pt\/chatgpt-6\/\">ChatGPT<\/a> \u5728 MultiWOZ \u6570\u636e\u96c6\u4e0a\u7684\u8868\u73b0\u63d0\u5347\u4e86 41.4%\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u4f7f\u7528 DSP\uff0c\u7814\u7a76\u4eba\u5458\u548c\u4ece\u4e1a\u8005\u53ef\u4ee5\u5728\u4e0d\u76f4\u63a5\u4fee\u6539 LLM \u53c2\u6570\u7684\u60c5\u51b5\u4e0b\u589e\u5f3a\u5176\u80fd\u529b\uff0c\u63d0\u4f9b\u4e00\u79cd\u7075\u6d3b\u4e14\u9ad8\u6548\u7684\u63d0\u793a\u5de5\u7a0b\u65b9\u6cd5\u3002<\/p>\n<h3>\u77e5\u8bc6\u751f\u6210\u63d0\u793a\u6cd5<\/h3>\n<p>\u77e5\u8bc6\u751f\u6210\u63d0\u793a\u6cd5\uff08Generated Knowledge Prompting\uff09\u901a\u8fc7\u5148\u8981\u6c42\u6a21\u578b\u751f\u6210\u76f8\u5173\u4e8b\u5b9e\uff0c\u7136\u540e\u518d\u56de\u7b54\u95ee\u9898\u6216\u5b8c\u6210\u4efb\u52a1\uff0c\u4ece\u800c\u63d0\u5347 AI \u6a21\u578b\u7684\u6027\u80fd\u3002\u8fd9\u79cd\u4e24\u6b65\u6d41\u7a0b\u5305\u62ec\u77e5\u8bc6\u751f\u6210\uff08\u6a21\u578b\u751f\u6210\u76f8\u5173\u4fe1\u606f\uff09\u548c\u77e5\u8bc6\u6574\u5408\uff08\u5229\u7528\u8fd9\u4e9b\u4fe1\u606f\u5f62\u6210\u66f4\u51c6\u786e\u4e14\u5177\u6709\u4e0a\u4e0b\u6587\u7684\u56de\u7b54\uff09\u3002<\/p>\n<h4>\u4e3b\u8981\u4f18\u52bf<\/h4>\n<ul>\n<li>\u63d0\u9ad8 AI \u751f\u6210\u5185\u5bb9\u7684\u51c6\u786e\u6027\u548c\u53ef\u9760\u6027\u3002<\/li>\n<li>\u589e\u5f3a\u5bf9\u7ed9\u5b9a\u4e3b\u9898\u7684\u4e0a\u4e0b\u6587\u7406\u89e3\u3002<\/li>\n<li>\u80fd\u591f\u5c06\u56de\u7b54\u951a\u5b9a\u5728\u4e8b\u5b9e\u4fe1\u606f\u4e0a\u3002<\/li>\n<li>\u53ef\u4ee5\u7ed3\u5408 API \u6216\u6570\u636e\u5e93\u7b49\u5916\u90e8\u6765\u6e90\u8fdb\u4e00\u6b65\u6269\u5c55\u77e5\u8bc6\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u63d0\u793a\u6a21\u578b\u9996\u5148\u8003\u8651\u76f8\u5173\u4e8b\u5b9e\uff0c\u77e5\u8bc6\u751f\u6210\u63d0\u793a\u6cd5\u6709\u52a9\u4e8e\u521b\u5efa\u66f4\u5177\u4fe1\u606f\u91cf\u548c\u5408\u7406\u6027\u7684\u8f93\u51fa\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u590d\u6742\u4efb\u52a1\u6216\u5904\u7406\u4e13\u4e1a\u4e3b\u9898\u65f6\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u63d0\u793a\u5de5\u7a0b\u6280\u672f\u5b9e\u64cd<\/h2>\n<p>\u672c\u63d0\u793a\u5de5\u7a0b\u6280\u672f\u6307\u5357\u5b8c\u5168\u57fa\u4e8e\u00a0<a href=\"https:\/\/github.com\/NirDiamant\">NirDiamant<\/a>\u00a0\u63d0\u4f9b\u7684\u51fa\u8272\u5b9e\u8df5\u8d44\u6e90\u5e93\u3002\u6240\u6709\u5185\u5bb9\u53ca Jupyter notebook \u7684\u7248\u6743\u5f52\u5c5e\u4e8e\u539f\u59cb\u8d44\u6e90\u5e93\uff1a<a href=\"https:\/\/github.com\/NirDiamant\/Prompt_Engineering\">Prompt Engineering<\/a>\u3002<\/p>\n<p><strong>\u6211\u5728\u8fd9\u91cc\u6dfb\u52a0\u8fd9\u4e00\u5185\u5bb9\u662f\u56e0\u4e3a\u5b83\u662f\u4e00\u4e2a\u5f88\u68d2\u7684\u5b66\u4e60\u8d44\u6e90\uff0c\u5b8c\u6574\u7248\u6743\u5f52\u5c5e\u00a0<a href=\"https:\/\/github.com\/NirDiamant\/Prompt_Engineering\">Prompt Engineering<\/a>\u00a0\u4ed3\u5e93\u3002<\/strong><\/p>\n<h3>\ud83c\udf31 \u57fa\u7840\u6982\u5ff5<\/h3>\n<ol>\n<li><strong>\u63d0\u793a\u5de5\u7a0b\u7b80\u4ecb<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u8be6\u7ec6\u4ecb\u7ecd AI \u548c\u8bed\u8a00\u6a21\u578b\u63d0\u793a\u5de5\u7a0b\u7684\u57fa\u7840\u6982\u5ff5\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u7ed3\u5408\u7406\u8bba\u89e3\u91ca\u4e0e\u5b9e\u8df5\u6f14\u793a\uff0c\u6db5\u76d6\u57fa\u7840\u6982\u5ff5\u3001\u7ed3\u6784\u5316\u63d0\u793a\u3001\u6bd4\u8f83\u5206\u6790\u4ee5\u53ca\u89e3\u51b3\u95ee\u9898\u7684\u5e94\u7528\u3002<\/li>\n<li><strong>\u57fa\u7840\u63d0\u793a\u7ed3\u6784<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u4e24\u79cd\u57fa\u7840\u63d0\u793a\u7ed3\u6784\uff1a\u5355\u8f6e\u63d0\u793a\u548c\u591a\u8f6e\u63d0\u793a\uff08\u5bf9\u8bdd\uff09\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u4f7f\u7528 OpenAI \u7684 GPT \u6a21\u578b\u548c LangChain \u6f14\u793a\u5355\u8f6e\u548c\u591a\u8f6e\u63d0\u793a\u3001\u63d0\u793a\u6a21\u677f\u4ee5\u53ca\u5bf9\u8bdd\u94fe\u3002<\/li>\n<li><strong>\u63d0\u793a\u6a21\u677f\u4e0e\u53d8\u91cf<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528 Python \u548c Jinja2 \u6a21\u677f\u5f15\u64ce\u521b\u5efa\u548c\u4f7f\u7528\u5e26\u53d8\u91cf\u7684\u63d0\u793a\u6a21\u677f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6d89\u53ca\u6a21\u677f\u521b\u5efa\u3001\u53d8\u91cf\u63d2\u5165\u3001\u6761\u4ef6\u5185\u5bb9\u3001\u5217\u8868\u5904\u7406\u4ee5\u53ca\u4e0e OpenAI API \u7684\u96c6\u6210\u3002<\/li>\n<\/ol>\n<h3>\ud83d\udd27 \u6838\u5fc3\u6280\u672f<\/h3>\n<ol start=\"4\">\n<li><strong>\u96f6\u6837\u672c\u63d0\u793a<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u96f6\u6837\u672c\u63d0\u793a\uff0c\u4f7f\u8bed\u8a00\u6a21\u578b\u5728\u65e0\u5177\u4f53\u793a\u4f8b\u6216\u4e8b\u5148\u8bad\u7ec3\u7684\u60c5\u51b5\u4e0b\u5b8c\u6210\u4efb\u52a1\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6f14\u793a\u76f4\u63a5\u4efb\u52a1\u6307\u5b9a\u3001\u57fa\u4e8e\u89d2\u8272\u7684\u63d0\u793a\u3001\u683c\u5f0f\u89c4\u8303\u4ee5\u53ca\u4f7f\u7528 OpenAI \u548c LangChain \u7684\u591a\u6b65\u63a8\u7406\u3002<\/li>\n<li><strong>\u5c11\u6837\u672c\u5b66\u4e60\u4e0e\u4e0a\u4e0b\u6587\u5b66\u4e60<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u901a\u8fc7 OpenAI \u7684 GPT \u6a21\u578b\u548c LangChain \u5e93\u63a2\u7d22\u5c11\u6837\u672c\u5b66\u4e60\u548c\u4e0a\u4e0b\u6587\u5b66\u4e60\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u5b9e\u73b0\u57fa\u672c\u548c\u9ad8\u7ea7\u5c11\u6837\u672c\u5b66\u4e60\u3001\u4e0a\u4e0b\u6587\u5b66\u4e60\u4ee5\u53ca\u793a\u4f8b\u9009\u62e9\u4e0e\u8bc4\u4f30\u7684\u6700\u4f73\u5b9e\u8df5\u3002<\/li>\n<li><strong>\u94fe\u5f0f\u601d\u7ef4 (CoT) \u63d0\u793a<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u4ecb\u7ecd\u94fe\u5f0f\u601d\u7ef4 (CoT) \u63d0\u793a\uff0c\u5f15\u5bfc AI \u6a21\u578b\u5c06\u590d\u6742\u95ee\u9898\u5206\u89e3\u4e3a\u9010\u6b65\u63a8\u7406\u8fc7\u7a0b\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6db5\u76d6\u57fa\u672c\u548c\u9ad8\u7ea7 CoT \u6280\u672f\uff0c\u5c06\u5176\u5e94\u7528\u4e8e\u5404\u79cd\u95ee\u9898\u89e3\u51b3\u573a\u666f\uff0c\u5e76\u4e0e\u6807\u51c6\u63d0\u793a\u8fdb\u884c\u6bd4\u8f83\u3002<\/li>\n<\/ol>\n<h3>\ud83d\udd0d \u9ad8\u7ea7\u7b56\u7565<\/h3>\n<ol start=\"7\">\n<li><strong>\u81ea\u4e00\u81f4\u6027\u4e0e\u591a\u8def\u5f84\u63a8\u7406<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u751f\u6210\u591a\u6837\u5316\u63a8\u7406\u8def\u5f84\u5e76\u805a\u5408\u7ed3\u679c\u4ee5\u63d0\u9ad8 AI \u751f\u6210\u7684\u7b54\u6848\u8d28\u91cf\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6f14\u793a\u8bbe\u8ba1\u591a\u6837\u5316\u63a8\u7406\u63d0\u793a\u3001\u751f\u6210\u591a\u4e2a\u54cd\u5e94\u3001\u5b9e\u73b0\u805a\u5408\u65b9\u6cd5\u4ee5\u53ca\u5e94\u7528\u81ea\u4e00\u81f4\u6027\u68c0\u67e5\u3002<\/li>\n<li><strong>\u53d7\u9650\u4e0e\u5f15\u5bfc\u751f\u6210<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u805a\u7126\u4e3a\u6a21\u578b\u8f93\u51fa\u8bbe\u7f6e\u7ea6\u675f\u548c\u5b9e\u73b0\u57fa\u4e8e\u89c4\u5219\u7684\u751f\u6210\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u4f7f\u7528 LangChain \u7684 PromptTemplate \u521b\u5efa\u7ed3\u6784\u5316\u63d0\u793a\uff0c\u5b9e\u65bd\u7ea6\u675f\u5e76\u63a2\u7d22\u57fa\u4e8e\u89c4\u5219\u7684\u751f\u6210\u6280\u672f\u3002<\/li>\n<li><strong>\u89d2\u8272\u63d0\u793a<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u4e3a AI \u6a21\u578b\u5206\u914d\u7279\u5b9a\u89d2\u8272\u5e76\u8bbe\u8ba1\u6709\u6548\u89d2\u8272\u63cf\u8ff0\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6f14\u793a\u521b\u5efa\u57fa\u4e8e\u89d2\u8272\u7684\u63d0\u793a\uff0c\u4e3a AI \u6a21\u578b\u5206\u914d\u89d2\u8272\u4ee5\u53ca\u4f18\u5316\u89d2\u8272\u63cf\u8ff0\u4ee5\u9002\u5e94\u5404\u79cd\u573a\u666f\u3002<\/li>\n<\/ol>\n<h3>\ud83d\ude80 \u9ad8\u7ea7\u5b9e\u73b0<\/h3>\n<ol start=\"10\">\n<li><strong>\u4efb\u52a1\u5206\u89e3\u63d0\u793a<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u5206\u89e3\u590d\u6742\u4efb\u52a1\u5e76\u5728\u63d0\u793a\u4e2d\u94fe\u63a5\u5b50\u4efb\u52a1\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6d89\u53ca\u95ee\u9898\u5206\u6790\u3001\u5b50\u4efb\u52a1\u5b9a\u4e49\u3001\u76ee\u6807\u63d0\u793a\u5de5\u7a0b\u3001\u987a\u5e8f\u6267\u884c\u4ee5\u53ca\u7ed3\u679c\u7efc\u5408\u3002<\/li>\n<li><strong>\u63d0\u793a\u94fe\u4e0e\u5e8f\u5217\u5316<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u6f14\u793a\u5982\u4f55\u8fde\u63a5\u591a\u4e2a\u63d0\u793a\u5e76\u4e3a\u590d\u6742\u7684 AI \u9a71\u52a8\u4efb\u52a1\u6784\u5efa\u903b\u8f91\u6d41\u7a0b\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u63a2\u7d22\u57fa\u672c\u63d0\u793a\u94fe\u3001\u987a\u5e8f\u63d0\u793a\u3001\u52a8\u6001\u63d0\u793a\u751f\u6210\u4ee5\u53ca\u63d0\u793a\u94fe\u4e2d\u7684\u9519\u8bef\u5904\u7406\u3002<\/li>\n<li><strong>\u6307\u4ee4\u5de5\u7a0b<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u805a\u7126\u4e8e\u4e3a\u8bed\u8a00\u6a21\u578b\u8bbe\u8ba1\u6e05\u6670\u6709\u6548\u7684\u6307\u4ee4\uff0c\u5e73\u8861\u5177\u4f53\u6027\u4e0e\u901a\u7528\u6027\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6d89\u53ca\u521b\u5efa\u548c\u4f18\u5316\u6307\u4ee4\u3001\u5c1d\u8bd5\u4e0d\u540c\u7ed3\u6784\u4ee5\u53ca\u57fa\u4e8e\u6a21\u578b\u54cd\u5e94\u8fdb\u884c\u8fed\u4ee3\u6539\u8fdb\u3002<\/li>\n<\/ol>\n<h3>\ud83c\udfa8 \u4f18\u5316\u4e0e\u6539\u8fdb<\/h3>\n<ol start=\"13\">\n<li><strong>\u63d0\u793a\u4f18\u5316\u6280\u672f<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u4f18\u5316\u63d0\u793a\u7684\u9ad8\u7ea7\u6280\u672f\uff0c\u91cd\u70b9\u5173\u6ce8 A\/B \u6d4b\u8bd5\u548c\u8fed\u4ee3\u6539\u8fdb\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6f14\u793a\u63d0\u793a\u7684 A\/B \u6d4b\u8bd5\u3001\u8fed\u4ee3\u6539\u8fdb\u6d41\u7a0b\uff0c\u4ee5\u53ca\u4f7f\u7528\u76f8\u5173\u6307\u6807\u8fdb\u884c\u6027\u80fd\u8bc4\u4f30\u3002<\/li>\n<li><strong>\u5904\u7406\u6b67\u4e49\u5e76\u63d0\u9ad8\u6e05\u6670\u5ea6<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u91cd\u70b9\u4ecb\u7ecd\u8bc6\u522b\u548c\u89e3\u51b3\u542b\u7cca\u4e0d\u6e05\u7684\u63d0\u793a\u4ee5\u53ca\u7f16\u5199\u66f4\u6e05\u6670\u63d0\u793a\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u5305\u62ec\u5206\u6790\u6a21\u7cca\u63d0\u793a\u3001\u5b9e\u65bd\u89e3\u51b3\u6b67\u4e49\u7684\u7b56\u7565\uff0c\u4ee5\u53ca\u63a2\u7d22\u7f16\u5199\u66f4\u6e05\u6670\u63d0\u793a\u7684\u6280\u5de7\u3002<\/li>\n<li><strong>\u63d0\u793a\u957f\u5ea6\u4e0e\u590d\u6742\u6027\u7ba1\u7406<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u5728\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u65f6\u7ba1\u7406\u63d0\u793a\u957f\u5ea6\u548c\u590d\u6742\u6027\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6f14\u793a\u5728\u7ec6\u8282\u4e0e\u7b80\u6d01\u6027\u4e4b\u95f4\u5e73\u8861\u7684\u6280\u672f\uff0c\u4ee5\u53ca\u5904\u7406\u957f\u4e0a\u4e0b\u6587\u7684\u7b56\u7565\uff0c\u5305\u62ec\u5206\u5757\u3001\u6458\u8981\u548c\u8fed\u4ee3\u5904\u7406\u3002<\/li>\n<\/ol>\n<h3>\ud83d\udee0\ufe0f \u4e13\u95e8\u5e94\u7528<\/h3>\n<ol start=\"16\">\n<li><strong>\u8d1f\u9762\u63d0\u793a\u4e0e\u907f\u514d\u4e0d\u671f\u671b\u8f93\u51fa<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u8d1f\u9762\u63d0\u793a\u53ca\u907f\u514d\u5927\u8bed\u8a00\u6a21\u578b\u4ea7\u751f\u4e0d\u671f\u671b\u8f93\u51fa\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u5305\u62ec\u57fa\u7840\u8d1f\u9762\u793a\u4f8b\u3001\u660e\u786e\u6392\u9664\u9879\u3001\u4f7f\u7528 LangChain \u5b9e\u73b0\u7ea6\u675f\uff0c\u4ee5\u53ca\u8bc4\u4f30\u548c\u6539\u8fdb\u8d1f\u9762\u63d0\u793a\u7684\u65b9\u6cd5\u3002<\/li>\n<li><strong>\u63d0\u793a\u683c\u5f0f\u5316\u4e0e\u7ed3\u6784<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u5404\u79cd\u63d0\u793a\u683c\u5f0f\u548c\u7ed3\u6784\u5143\u7d20\uff0c\u5e76\u5c55\u793a\u5b83\u4eec\u5bf9 AI \u6a21\u578b\u54cd\u5e94\u7684\u5f71\u54cd\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u6f14\u793a\u521b\u5efa\u591a\u79cd\u63d0\u793a\u683c\u5f0f\uff0c\u6574\u5408\u7ed3\u6784\u5143\u7d20\uff0c\u4ee5\u53ca\u6bd4\u8f83\u4e0d\u540c\u63d0\u793a\u7ed3\u6784\u7684\u54cd\u5e94\u3002<\/li>\n<li><strong>\u7279\u5b9a\u4efb\u52a1\u7684\u63d0\u793a<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u4e3a\u7279\u5b9a\u4efb\u52a1\uff08\u5982\u6587\u672c\u6458\u8981\u3001\u95ee\u7b54\u3001\u4ee3\u7801\u751f\u6210\u548c\u521b\u610f\u5199\u4f5c\uff09\u521b\u5efa\u548c\u4f7f\u7528\u63d0\u793a\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u5305\u62ec\u8bbe\u8ba1\u4efb\u52a1\u7279\u5b9a\u7684\u63d0\u793a\u6a21\u677f\uff0c\u4f7f\u7528 LangChain \u5b9e\u73b0\uff0c\u7ed3\u5408\u793a\u4f8b\u8f93\u5165\u6267\u884c\uff0c\u5e76\u5206\u6790\u5404\u4efb\u52a1\u7c7b\u578b\u7684\u8f93\u51fa\u3002<\/li>\n<\/ol>\n<h3>\ud83c\udf0d \u9ad8\u7ea7\u5e94\u7528<\/h3>\n<ol start=\"19\">\n<li><strong>\u591a\u8bed\u8a00\u548c\u8de8\u8bed\u8a00\u63d0\u793a<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u4e3a\u591a\u8bed\u8a00\u53ca\u8bed\u8a00\u7ffb\u8bd1\u4efb\u52a1\u8bbe\u8ba1\u6709\u6548\u63d0\u793a\u7684\u6280\u672f\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u5305\u62ec\u521b\u5efa\u591a\u8bed\u8a00\u63d0\u793a\uff0c\u5b9e\u65bd\u8bed\u8a00\u68c0\u6d4b\u548c\u9002\u914d\uff0c\u8bbe\u8ba1\u8de8\u8bed\u8a00\u7ffb\u8bd1\u63d0\u793a\uff0c\u4ee5\u53ca\u5904\u7406\u5404\u79cd\u4e66\u5199\u7cfb\u7edf\u548c\u5b57\u7b26\u96c6\u3002<\/li>\n<li><strong>\u63d0\u793a\u5de5\u7a0b\u4e2d\u7684\u4f26\u7406\u8003\u91cf<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u63d0\u793a\u5de5\u7a0b\u7684\u4f26\u7406\u7ef4\u5ea6\uff0c\u91cd\u70b9\u5173\u6ce8\u907f\u514d\u504f\u89c1\u4ee5\u53ca\u521b\u5efa\u5305\u5bb9\u6027\u548c\u516c\u5e73\u6027\u7684\u63d0\u793a\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u5305\u62ec\u8bc6\u522b\u63d0\u793a\u4e2d\u7684\u504f\u89c1\u3001\u5b9e\u65bd\u521b\u5efa\u5305\u5bb9\u6027\u63d0\u793a\u7684\u7b56\u7565\uff0c\u4ee5\u53ca\u8bc4\u4f30\u548c\u6539\u8fdb AI \u8f93\u51fa\u4f26\u7406\u8d28\u91cf\u7684\u65b9\u6cd5\u3002<\/li>\n<li><strong>\u63d0\u793a\u5b89\u5168\u4e0e\u5b89\u5168\u6027<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u91cd\u70b9\u4ecb\u7ecd\u5982\u4f55\u9632\u6b62\u63d0\u793a\u6ce8\u5165\uff0c\u5e76\u5728\u63d0\u793a\u4e2d\u5b9e\u73b0\u5185\u5bb9\u8fc7\u6ee4\u4ee5\u786e\u4fdd AI \u5e94\u7528\u7684\u5b89\u5168\u6027\u3002<\/p>\n<h4>\u5b9e\u73b0 \ud83d\udee0\ufe0f<\/h4>\n<p>\u5305\u62ec\u9632\u6b62\u63d0\u793a\u6ce8\u5165\u7684\u6280\u672f\u3001\u5185\u5bb9\u8fc7\u6ee4\u5b9e\u73b0\uff0c\u4ee5\u53ca\u6d4b\u8bd5\u5b89\u5168\u6027\u63aa\u65bd\u7684\u6709\u6548\u6027\u3002<\/li>\n<li><strong>\u8bc4\u4f30\u63d0\u793a\u7684\u6709\u6548\u6027<\/strong><br \/>\n<h4>\u6982\u8ff0 \ud83d\udd0e<\/h4>\n<p>\u63a2\u8ba8\u8bc4\u4f30 AI \u8bed\u8a00\u6a21\u578b\u63d0\u793a\u6709\u6548\u6027\u7684\u65b9\u6cd5\u548c\u6280\u672f\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>\u4e86\u89e3\u5927\u8bed\u8a00\u6a21\u578b (LLM) API<\/h2>\n<p>\u8ba9\u6211\u4eec\u6765\u8ba8\u8bba\u5927\u8bed\u8a00\u6a21\u578b (LLM) API\u3002<\/p>\n<p>\u6709\u51e0\u79cd\u65b9\u6cd5\u53ef\u4ee5\u4f7f\u7528\u8be5 API\u3002\u4e00\u79cd\u662f\u76f4\u63a5\u53d1\u9001 HTTP \u8bf7\u6c42\uff0c\u53e6\u4e00\u79cd\u662f\u901a\u8fc7 pip \u5b89\u88c5\u5b98\u65b9\u7684 OpenAI \u5305\uff0c\u5b83\u59cb\u7ec8\u4e0e\u6700\u65b0\u529f\u80fd\u4fdd\u6301\u540c\u6b65\u3002<\/p>\n<pre><code>pip install openai\r\n<\/code><\/pre>\n<p>\u7531\u4e8e\u8fd9\u79cd API \u683c\u5f0f\u975e\u5e38\u6d41\u884c\uff0c\u8bb8\u591a\u5176\u4ed6\u63d0\u4f9b\u5546\u4e5f\u63d0\u4f9b\u4e86\u76f8\u540c\u683c\u5f0f\u7684 API\u3002\u8fd9\u79cd\u683c\u5f0f\u88ab\u79f0\u4e3a\u201cOpenAI \u517c\u5bb9\u201d\u3002<\/p>\n<h3>\u63d0\u4f9b OpenAI \u517c\u5bb9 API \u7684\u4f9b\u5e94\u5546\u5217\u8868<\/h3>\n<p>\u4ee5\u4e0b\u662f\u4e0e OpenAI API \u517c\u5bb9\u7684\u4f9b\u5e94\u5546\u5217\u8868\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u4ee5\u7c7b\u4f3c\u4e8e OpenAI \u63d0\u4f9b\u7684\u65b9\u5f0f\u5229\u7528\u8fd9\u4e9b\u670d\u52a1\uff1a<\/p>\n<ul>\n<li><strong>Groq<\/strong>\n<ul>\n<li><a href=\"https:\/\/www.kdjingpai.com\/pt\/groqaidamoxingbai\/\">Groq<\/a> \u63d0\u4f9b\u7684 API \u5927\u591a\u517c\u5bb9 OpenAI \u7684\u5ba2\u6237\u7aef\u5e93\u3002\u7528\u6237\u53ea\u9700\u66f4\u6539\u00a0<code>base_url<\/code>\u00a0\u5e76\u4f7f\u7528 Groq \u7684 API \u5bc6\u94a5\u5373\u53ef\u914d\u7f6e\u5176\u5e94\u7528\u7a0b\u5e8f\u5728 Groq \u4e0a\u8fd0\u884c\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>Mistral AI<\/strong>\n<ul>\n<li><a href=\"https:\/\/www.kdjingpai.com\/pt\/le-chat-mistral\/\">Mistral<\/a> \u63d0\u4f9b\u652f\u6301 OpenAI \u517c\u5bb9\u8bf7\u6c42\u7684 API\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7\u6b64\u670d\u52a1\u8bbf\u95ee\u5404\u79cd\u6a21\u578b\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>Hugging Face<\/strong>\n<ul>\n<li>Hugging Face \u63d0\u4f9b\u901a\u8fc7 API \u8bbf\u95ee\u4f17\u591a\u6a21\u578b\u7684\u529f\u80fd\uff0c\u5176\u914d\u7f6e\u65b9\u5f0f\u7c7b\u4f3c\u4e8e OpenAI \u7684 API\u3002Hugging Face \u4ee5\u5176\u5e9e\u5927\u7684\u6a21\u578b\u5e93\u800c\u95fb\u540d\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>Google Vertex AI<\/strong>\n<ul>\n<li>Google Vertex AI \u5141\u8bb8\u7528\u6237\u4ee5\u4e0e OpenAI API \u4e00\u81f4\u7684\u65b9\u5f0f\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u4ea4\u4e92\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>Microsoft Azure OpenAI<\/strong>\n<ul>\n<li>Microsoft \u901a\u8fc7\u5176 Azure \u5e73\u53f0\u63d0\u4f9b OpenAI \u6a21\u578b\u8bbf\u95ee\uff0c\u4fbf\u4e8e\u4e0e\u73b0\u6709 Azure \u670d\u52a1\u96c6\u6210\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>Anthropic<\/strong>\n<ul>\n<li><a href=\"https:\/\/www.kdjingpai.com\/pt\/claudeanquanfubai\/\">Anthropic<\/a> \u7684\u6a21\u578b\u4e5f\u53ef\u901a\u8fc7\u6a21\u4eff OpenAI \u7ed3\u6784\u7684 API \u8bbf\u95ee\uff0c\u4ece\u800c\u5b9e\u73b0\u7c7b\u4f3c\u7684\u4ea4\u4e92\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u8fd9\u4e9b\u63d0\u4f9b\u5546\u4f7f\u5f00\u53d1\u8005\u80fd\u591f\u5229\u7528\u4e0d\u540c\u7684 AI \u529f\u80fd\uff0c\u540c\u65f6\u4fdd\u6301\u4e0e\u719f\u6089\u7684 OpenAI API \u7ed3\u6784\u7684\u517c\u5bb9\u6027\uff0c\u4ece\u800c\u66f4\u5bb9\u6613\u96c6\u6210\u5230\u5e94\u7528\u7a0b\u5e8f\u548c\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u3002<\/p>\n<p>\u8fd8\u6709\u4e00\u4e9b\u63d0\u4f9b\u5546\u4f7f\u7528\u4e0d\u540c\u7684 API \u67b6\u6784\u548c\u7c7b\u578b\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u50cf\u00a0<a href=\"https:\/\/github.com\/BerriAI\/litellm\">litellm<\/a>\u00a0\u8fd9\u6837\u7684\u5ba2\u6237\u7aef\u5e93\uff0c\u4e3a\u4e0d\u540c\u7c7b\u578b\u7684\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u4f9b\u7edf\u4e00\u7684\u5ba2\u6237\u7aef\u5305\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u50cf\u00a0<a href=\"https:\/\/github.com\/Portkey-AI\/gateway\">Portkey<\/a>\u00a0\u8fd9\u6837\u7684\u7f51\u5173\u4e3a\u4efb\u4f55\u5927\u8bed\u8a00\u6a21\u578b\u63d0\u4f9b OpenAI \u517c\u5bb9\u7684 API\u3002<\/p>\n<p>\u5728\u672c\u6587\u4e2d\uff0c\u60a8\u5c06\u5b66\u4e60 API \u4e2d\u7684\u4e0d\u540c\u53c2\u6570\u3002<\/p>\n<h4>\u5173\u952e\u53c2\u6570<\/h4>\n<p><strong>Temperature<\/strong><\/p>\n<ul>\n<li><strong>\u63cf\u8ff0<\/strong>: Temperature \u53c2\u6570\u63a7\u5236\u6a21\u578b\u8f93\u51fa\u7684\u968f\u673a\u6027\uff0c\u8303\u56f4\u4ece 0 \u5230 2\u3002<\/li>\n<li><strong>\u5f71\u54cd<\/strong>:\n<ul>\n<li><strong>\u4f4e\u503c (0-0.3)<\/strong>: \u8f93\u51fa\u66f4\u5177\u786e\u5b9a\u6027\u548c\u4e13\u6ce8\u6027\uff0c\u901a\u5e38\u4f1a\u91cd\u590d\u7c7b\u4f3c\u7684\u54cd\u5e94\u3002<\/li>\n<li><strong>\u4e2d\u7b49\u503c (0.4-0.7)<\/strong>: \u5728\u521b\u9020\u6027\u548c\u8fde\u8d2f\u6027\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002<\/li>\n<li><strong>\u9ad8\u503c (0.8-2)<\/strong>: \u751f\u6210\u66f4\u591a\u6837\u5316\u548c\u521b\u9020\u6027\u7684\u8f93\u51fa\uff0c\u4f46\u53ef\u80fd\u4f1a\u4ea7\u751f\u65e0\u610f\u4e49\u7684\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793a\u4f8b<\/strong>:\n<pre><code>response = openai.ChatCompletion.create(\r\nmodel=\"gpt-3.5-turbo\",\r\nmessages=[{\"role\": \"user\", \"content\": \"\u5b8c\u6210\u53e5\u5b50\uff1a'\u5e78\u798f\u7684\u5173\u952e\u662f'\u3002\"}],\r\ntemperature=1\r\n)\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><strong>Top_p<\/strong><\/p>\n<ul>\n<li><strong>\u63cf\u8ff0<\/strong>: \u6b64\u53c2\u6570\u5b9e\u73b0\u6838\u91c7\u6837 (nucleus sampling)\uff0c\u6a21\u578b\u53ea\u8003\u8651\u6700\u9ad8\u00a0<code>p<\/code>\u00a0\u6982\u7387\u8d28\u91cf\u7684\u8f93\u51fa\u3002<\/li>\n<li><strong>\u8303\u56f4<\/strong>: \u4ece 0 \u5230 1\uff0c\u8f83\u4f4e\u7684\u503c\u9650\u5236\u8f93\u51fa\u66f4\u53ef\u80fd\u7684 Token\u3002<\/li>\n<li><strong>\u793a\u4f8b<\/strong>:\n<pre><code>response = openai.ChatCompletion.create(\r\nmodel=\"gpt-3.5-turbo\",\r\nmessages=[{\"role\": \"user\", \"content\": \"\u5199\u4e00\u9996\u8bd7\u3002\"}],\r\ntop_p=0.9\r\n)\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><strong>Max Tokens<\/strong><\/p>\n<ul>\n<li><strong>\u63cf\u8ff0<\/strong>: \u5b9a\u4e49\u751f\u6210\u54cd\u5e94\u4e2d\u7684\u6700\u5927 <a href=\"https:\/\/www.kdjingpai.com\/pt\/tokenization\/\">Token<\/a> \u6570\u91cf\uff08\u5355\u8bcd\u6216\u5355\u8bcd\u7684\u4e00\u90e8\u5206\uff09\u3002<\/li>\n<li><strong>\u9ed8\u8ba4\u503c<\/strong>: \u5bf9\u4e8e\u5927\u591a\u6570\u6a21\u578b\uff0c\u901a\u5e38\u6700\u5927\u8bbe\u7f6e\u4e3a 4096 \u4e2a Token\u3002<\/li>\n<li><strong>\u793a\u4f8b<\/strong>:\n<pre><code>response = openai.ChatCompletion.create(\r\nmodel=\"gpt-3.5-turbo\",\r\nmessages=[{\"role\": \"user\", \"content\": \"\u8bb2\u4e00\u4e2a\u6545\u4e8b\u3002\"}],\r\nmax_tokens=150\r\n)\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><strong>Function Calling<\/strong><\/p>\n<ul>\n<li><strong>\u63cf\u8ff0<\/strong>: \u6b64\u529f\u80fd\u5141\u8bb8\u6a21\u578b\u6839\u636e\u7528\u6237\u8f93\u5165\u8c03\u7528\u9884\u5b9a\u4e49\u51fd\u6570\uff0c\u4ece\u800c\u5b9e\u73b0\u4e0e\u5916\u90e8 API \u6216\u670d\u52a1\u7684\u4ea4\u4e92\u3002<\/li>\n<li><strong>\u793a\u4f8b<\/strong>:\n<pre><code>functions = [\r\n{\r\n\"name\": \"get_current_weather\",\r\n\"description\": \"\u83b7\u53d6\u67d0\u5730\u7684\u5f53\u524d\u5929\u6c14\u3002\",\r\n\"parameters\": {\r\n\"type\": \"object\",\r\n\"properties\": {\r\n\"location\": {\"type\": \"string\"},\r\n\"unit\": {\"type\": \"string\", \"enum\": [\"celsius\", \"fahrenheit\"]}\r\n},\r\n\"required\": [\"location\"]\r\n}\r\n}\r\n]\r\nresponse = openai.ChatCompletion.create(\r\nmodel=\"gpt-3.5-turbo\",\r\nmessages=[{\"role\": \"user\", \"content\": \"\u7ebd\u7ea6\u7684\u5929\u6c14\u5982\u4f55\uff1f\"}],\r\nfunctions=functions,\r\nfunction_call={\"name\": \"get_current_weather\"}\r\n)\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>API \u8c03\u7528\u4e2d\u7684\u89d2\u8272<\/h4>\n<p>\u7406\u89e3 API \u8c03\u7528\u4e2d\u6d89\u53ca\u7684\u89d2\u8272\u6709\u52a9\u4e8e\u6709\u6548\u5730\u6784\u5efa\u4ea4\u4e92\u7ed3\u6784\u3002<\/p>\n<p><strong>\u7cfb\u7edf\u89d2\u8272<\/strong><\/p>\n<ul>\n<li><strong>\u76ee\u7684<\/strong>\uff1a\u63d0\u4f9b\u9ad8\u5c42\u6b21\u7684\u6307\u4ee4\u6216\u4e0a\u4e0b\u6587\uff0c\u6307\u5bfc\u6a21\u578b\u5728\u6574\u4e2a\u5bf9\u8bdd\u4e2d\u7684\u884c\u4e3a\u3002<\/li>\n<li><strong>\u7528\u6cd5<\/strong>\uff1a\u5728\u6d88\u606f\u6570\u7ec4\u7684\u5f00\u5934\u8bbe\u7f6e\uff0c\u4ee5\u5efa\u7acb\u4ea4\u4e92\u7684\u8bed\u6c14\u6216\u89c4\u5219\u3002<\/li>\n<li><strong>\u793a\u4f8b<\/strong>\uff1a\n<pre><code>messages = [\r\n{\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\r\n{\"role\": \"user\", \"content\": \"What can you do?\"}\r\n]\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><strong>\u7528\u6237\u89d2\u8272<\/strong><\/p>\n<ul>\n<li><strong>\u76ee\u7684<\/strong>\uff1a\u4ee3\u8868\u4eba\u7c7b\u7528\u6237\u7684\u8f93\u5165\uff0c\u901a\u8fc7\u67e5\u8be2\u6216\u63d0\u793a\u5f15\u5bfc\u5bf9\u8bdd\u3002<\/li>\n<li><strong>\u7528\u6cd5<\/strong>\uff1a\u6700\u5e38\u7528\u4e8e\u4ea4\u4e92\u4e2d\uff0c\u7528\u4e8e\u63d0\u51fa\u95ee\u9898\u6216\u63d0\u4f9b\u9648\u8ff0\u3002<\/li>\n<li><strong>\u793a\u4f8b<\/strong>\uff1a\n<pre><code>{\"role\": \"user\", \"content\": \"Can you explain how OpenAI works?\"}\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><strong>\u52a9\u624b\u89d2\u8272<\/strong><\/p>\n<ul>\n<li><strong>\u76ee\u7684<\/strong>\uff1a\u4ee3\u8868\u6a21\u578b\u57fa\u4e8e\u7528\u6237\u8f93\u5165\u548c\u7cfb\u7edf\u6307\u4ee4\u751f\u6210\u7684\u54cd\u5e94\u3002<\/li>\n<li><strong>\u7528\u6cd5<\/strong>\uff1a\u5f53\u56de\u590d\u7528\u6237\u67e5\u8be2\u65f6\uff0c\u6a21\u578b\u4f1a\u81ea\u52a8\u5047\u5b9a\u4e3a\u6b64\u89d2\u8272\u3002<\/li>\n<li><strong>\u793a\u4f8b<\/strong>\uff1a\n<pre><code>{\"role\": \"assistant\", \"content\": \"OpenAI uses advanced machine learning techniques to generate text.\"}\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>\u5176\u4ed6\u53c2\u6570<\/h4>\n<p><strong>Stream<\/strong><\/p>\n<ul>\n<li><strong>\u63cf\u8ff0<\/strong>\uff1a\u5982\u679c\u8bbe\u7f6e\u4e3a true\uff0c\u5219\u5141\u8bb8\u5728\u751f\u6210\u90e8\u5206\u54cd\u5e94\u65f6\u8fdb\u884c\u6d41\u5f0f\u4f20\u8f93\uff0c\u9002\u7528\u4e8e\u5b9e\u65f6\u5e94\u7528\u3002<\/li>\n<\/ul>\n<p><strong>Logprobs<\/strong><\/p>\n<ul>\n<li><strong>\u63cf\u8ff0<\/strong>\uff1a\u8fd4\u56de Token \u9884\u6d4b\u7684\u5bf9\u6570\u6982\u7387\uff0c\u7528\u4e8e\u7406\u89e3\u6a21\u578b\u884c\u4e3a\u548c\u6539\u8fdb\u8f93\u51fa\u3002<\/li>\n<\/ul>\n<h4>\u603b\u7ed3<\/h4>\n<p>OpenAI API \u63d0\u4f9b\u4e86\u4e00\u7ec4\u5f3a\u5927\u7684\u53c2\u6570\u548c\u89d2\u8272\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u5229\u7528\u5b83\u4eec\u521b\u5efa\u9ad8\u5ea6\u4e92\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\u901a\u8fc7\u8c03\u6574\u8bf8\u5982 temperature \u7684\u53c2\u6570\u5e76\u6709\u6548\u5730\u5229\u7528\u7ed3\u6784\u5316\u89d2\u8272\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u7279\u5b9a\u9700\u6c42\u5b9a\u5236\u54cd\u5e94\uff0c\u540c\u65f6\u786e\u4fdd\u5bf9\u8bdd\u7684\u6e05\u6670\u5ea6\u548c\u63a7\u5236\u529b\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528\u4e0e OpenAI \u517c\u5bb9\u7684\u5404\u79cd\u63d0\u4f9b\u5546\u7684 API \u7684\u793a\u4f8b\uff0c\u4ee5\u53ca\u8f7b\u91cf\u7ea7\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u7684\u5e94\u7528\u5b9e\u4f8b\u3002<\/p>\n<h3>\u4f7f\u7528\u517c\u5bb9\u63d0\u4f9b\u5546\u7684 OpenAI API \u793a\u4f8b<\/h3>\n<h4>1.\u00a0<strong>Groq<\/strong><\/h4>\n<p>\u8981\u4f7f\u7528 Groq \u7684 API\uff0c\u9700\u8981\u8bbe\u7f6e\u57fa\u672c URL \u5e76\u63d0\u4f9b Groq API \u5bc6\u94a5\u3002<\/p>\n<pre><code>import os\r\nimport openai\r\nclient = openai.OpenAI(\r\nbase_url=\"https:\/\/api.groq.com\/openai\/v1\",\r\napi_key=os.environ.get(\"GROQ_API_KEY\")\r\n)\r\nresponse = client.ChatCompletion.create(\r\nmodel=\"gpt-3.5-turbo\",\r\nmessages=[{\"role\": \"user\", \"content\": \"Tell me a joke.\"}]\r\n)\r\nprint(response.choices[0].message['content'])\r\n<\/code><\/pre>\n<h4>2.\u00a0<strong>Mistral AI<\/strong><\/h4>\n<p><a href=\"https:\/\/www.kdjingpai.com\/pt\/le-chat-mistral\/\">Mistral AI<\/a> \u540c\u6837\u63d0\u4f9b OpenAI \u517c\u5bb9\u7684 API\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528\u65b9\u6cd5\uff1a<\/p>\n<pre><code>import requests\r\nurl = \"https:\/\/api.mistral.ai\/v1\/chat\/completions\"\r\nheaders = {\r\n\"Authorization\": f\"Bearer {os.environ.get('MISTRAL_API_KEY')}\",\r\n\"Content-Type\": \"application\/json\"\r\n}\r\ndata = {\r\n\"model\": \"mistral-7b\",\r\n\"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]\r\n}\r\nresponse = requests.post(url, headers=headers, json=data)\r\nprint(response.json()['choices'][0]['message']['content'])\r\n<\/code><\/pre>\n<h4>3.\u00a0<strong>Hugging Face<\/strong><\/h4>\n<p>\u4f7f\u7528 Hugging Face \u7684 API \u9700\u8981\u8bbf\u95ee\u4ee4\u724c\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<pre><code>import requests\r\nurl = \"https:\/\/api-inference.huggingface.co\/models\/gpt2\"\r\nheaders = {\r\n\"Authorization\": f\"Bearer {os.environ.get('HUGGINGFACE_API_KEY')}\"\r\n}\r\ndata = {\r\n\"inputs\": \"Once upon a time in a land far away,\"\r\n}\r\nresponse = requests.post(url, headers=headers, json=data)\r\nprint(response.json()[0]['generated_text'])\r\n<\/code><\/pre>\n<h4>4.\u00a0<strong>Google Vertex AI<\/strong><\/h4>\n<p>\u4e0e Google Vertex AI \u4ea4\u4e92\u53ef\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<pre><code>from google.cloud import aiplatform\r\naiplatform.init(project='your-project-id', location='us-central1')\r\nresponse = aiplatform.gapic.PredictionServiceClient().predict(\r\nendpoint='projects\/your-project-id\/locations\/us-central1\/endpoints\/your-endpoint-id',\r\ninstances=[{\"content\": \"Who won the World Series in 2020?\"}],\r\n)\r\nprint(response.predictions)\r\n<\/code><\/pre>\n<h4>5.\u00a0<strong>Microsoft Azure OpenAI<\/strong><\/h4>\n<p>\u4ee5\u4e0b\u662f\u8c03\u7528 Azure \u7684 OpenAI \u670d\u52a1\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<pre><code>import requests\r\nurl = f\"https:\/\/your-resource-name.openai.azure.com\/openai\/deployments\/your-deployment-name\/chat\/completions?api-version=2023-05-15\"\r\nheaders = {\r\n\"Content-Type\": \"application\/json\",\r\n\"api-key\": os.environ.get(\"AZURE_OPENAI_API_KEY\")\r\n}\r\ndata = {\r\n\"messages\": [{\"role\": \"user\", \"content\": \"What's the weather today?\"}],\r\n\"model\": \"gpt-35-turbo\"\r\n}\r\nresponse = requests.post(url, headers=headers, json=data)\r\nprint(response.json()['choices'][0]['message']['content'])\r\n<\/code><\/pre>\n<h4>6.\u00a0<strong>Anthropic<\/strong><\/h4>\n<p>\u4f7f\u7528 Anthropic \u7684 <a href=\"https:\/\/www.kdjingpai.com\/pt\/claudeanquanfubai\/\">Claude<\/a> \u6a21\u578b\u53ca\u5176 API \u7684\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code>import requests\r\nurl = \"https:\/\/api.anthropic.com\/v1\/complete\"\r\nheaders = {\r\n\"Authorization\": f\"Bearer {os.environ.get('ANTHROPIC_API_KEY')}\",\r\n\"Content-Type\": \"application\/json\"\r\n}\r\ndata = {\r\n\"model\": \"claude-v1\",\r\n\"prompt\": \"Explain quantum physics in simple terms.\",\r\n}\r\nresponse = requests.post(url, headers=headers, json=data)\r\nprint(response.json()['completion'])\r\n<\/code><\/pre>\n<p>\u8be5\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u6709\u6548\u5229\u7528\u8f7b\u91cf\u7ea7\u6a21\u578b\uff0c\u540c\u65f6\u5728\u6587\u672c\u751f\u6210\u4efb\u52a1\u4e2d\u5b9e\u73b0\u6709\u610f\u4e49\u7684\u8f93\u51fa\u3002<\/p>\n<p>\u6765\u6e90\uff1a<\/p>\n<p>https:\/\/www.coltsteele.com\/tips\/understanding-openai-s-temperature-parameter<br \/>\nhttps:\/\/community.make.com\/t\/what-is-the-difference-between-system-user-and-assistant-roles-in-chatgpt\/36160<br \/>\nhttps:\/\/arize.com\/blog-course\/mastering-openai-api-tips-and-tricks\/<br \/>\nhttps:\/\/learn.microsoft.com\/ko-kr\/Azure\/ai-services\/openai\/reference<br \/>\nhttps:\/\/community.openai.com\/t\/the-system-role-how-it-influences-the-chat-behavior\/87353<br \/>\nhttps:\/\/community.openai.com\/t\/understanding-role-management-in-openais-api-two-methods-compared\/253289<br \/>\nhttps:\/\/platform.openai.com\/docs\/advanced-usage<br \/>\nhttps:\/\/platform.openai.com\/docs\/api-reference<\/p>\n<p>https:\/\/console.groq.com\/docs\/openai<br \/>\nhttps:\/\/docs.jabref.org\/ai\/ai-providers-and-api-keys<\/p>\n<blockquote class=\"reddit-embed-bq\" style=\"height:316px\" ><p><a href=\"https:\/\/www.reddit.com\/r\/LocalLLaMA\/comments\/16csz5n\/best_openai_api_compatible_application_server\/\">Best openai API compatible application server<\/a><br \/> by<a href=\"https:\/\/www.reddit.com\/user\/--dany--\/\">u\/&#8211;dany&#8211;<\/a> in<a href=\"https:\/\/www.reddit.com\/r\/LocalLLaMA\/\">LocalLLaMA<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/embed.reddit.com\/widgets.js\" charset=\"UTF-8\"><\/script><br \/>\nhttps:\/\/docs.gptscript.ai\/alternative-model-providers<\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"2qKE95h9BJ\"><p><a href=\"https:\/\/towardsdatascience.com\/how-to-build-an-openai-compatible-api-87c8edea2f06\/\">How to build an OpenAI-compatible API<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;How to build an OpenAI-compatible API&#8221; &#8212; Towards Data Science\" src=\"https:\/\/towardsdatascience.com\/how-to-build-an-openai-compatible-api-87c8edea2f06\/embed\/#?secret=qVltRWTtIh#?secret=2qKE95h9BJ\" data-secret=\"2qKE95h9BJ\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>https:\/\/modelfusion.dev\/integration\/model-provider\/openaicompatible\/<br \/>\nhttps:\/\/docs.jabref.org\/ai\/ai-providers-and-api-keys<br \/>\nhttps:\/\/docs.gptscript.ai\/alternative-model-providers<br \/>\nhttps:\/\/console.groq.com\/docs\/openai<\/p>\n<p>&nbsp;<\/p>\n<h2>\u63d0\u793a\u5de5\u7a0b\u5165\u95e8 II\uff08\u51fd\u6570\u8c03\u7528\uff09<\/h2>\n<p>\u4ee5\u4e0b\u662f\u52a0\u8f7d\u5fc5\u8981\u7684\u5e93\u3001\u5de5\u5177\u548c\u914d\u7f6e\u3002<\/p>\n<p>https:\/\/colab.research.google.com\/github\/adithya-s-k\/AI-Engineering.academy\/blob\/main\/PromptEngineering\/function_calling.ipynb<\/p>\n<p>&nbsp;<\/p>\n<h2>\u63d0\u793a\u5de5\u7a0b\u5165\u95e8<\/h2>\n<p>\u4ee5\u4e0b\u662f\u52a0\u8f7d\u5fc5\u8981\u7684\u5e93\u3001\u5de5\u5177\u548c\u914d\u7f6e\u3002<\/p>\n<p>https:\/\/colab.research.google.com\/github\/adithya-s-k\/AI-Engineering.academy\/blob\/main\/PromptEngineering\/prompt_engineering.ipynb<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\ude80 \u63d0\u793a\u5de5\u7a0b \u63d0\u793a\u5de5\u7a0b\uff08Prompt Engineering\uff09\u662f\u751f\u6210\u5f0f AI 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