{"id":3770,"date":"2023-09-18T09:38:45","date_gmt":"2023-09-18T01:38:45","guid":{"rendered":""},"modified":"2023-09-18T09:38:45","modified_gmt":"2023-09-18T01:38:45","slug":"","status":"publish","type":"post","link":"http:\/\/www.idea2003.com\/dongtai\/3770.html","title":{"rendered":"\u590d\u65e6NLP\u56e2\u961f\u53d1\u5e0380\u9875\u5927\u6a21\u578bAgent\u7efc\u8ff0\uff0c\u4e00\u6587\u7eb5\u89c8AI\u667a\u80fd\u4f53\u7684\u73b0\u72b6\u4e0e\u672a\u6765"},"content":{"rendered":"<blockquote>\n<p>\u58f0\u660e:\u672c\u6587\u6765\u81ea\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7 \u673a\u5668\u4e4b\u5fc3\uff08ID:almosthuman2014\uff09\uff0c\u4f5c\u8005:\u673a\u5668\u4e4b\u5fc3\uff0c\u6388\u6743\u5fae\u65b0\u521b\u60f3\u8f6c\u8f7d\u53d1\u5e03\u3002<\/p>\n<\/blockquote>\n<blockquote>\n<p>\u667a\u80fd\u4f53\u4f1a\u6210\u4e3a\u6253\u5f00 AGI \u4e4b\u95e8\u7684\u94a5\u5319\u5417?\u590d\u65e6 NLP \u56e2\u961f\u5168\u9762\u63a2\u8ba8 LLM-based Agents\u3002<\/p>\n<\/blockquote>\n<p>\u8fd1\u671f\uff0c\u590d\u65e6\u5927\u5b66\u81ea\u7136\u8bed\u8a00\u5904\u7406\u56e2\u961f\uff08FudanNLP\uff09\u63a8\u51fa LLM-based Agents \u7efc\u8ff0\u8bba\u6587\uff0c\u5168\u6587\u957f\u8fbe86\u9875\uff0c\u5171\u6709600\u4f59\u7bc7\u53c2\u8003\u6587\u732e!\u4f5c\u8005\u4eec\u4ece AI Agent \u7684\u5386\u53f2\u51fa\u53d1\uff0c<strong>\u5168\u9762\u68b3\u7406\u4e86\u57fa\u4e8e\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u667a\u80fd\u4ee3\u7406\u73b0\u72b6\uff0c\u5305\u62ec:LLM-based Agent \u7684\u80cc\u666f\u3001\u6784\u6210\u3001\u5e94\u7528\u573a\u666f\u3001\u4ee5\u53ca\u5907\u53d7\u5173\u6ce8\u7684\u4ee3\u7406\u793e\u4f1a<\/strong>\u3002\u540c\u65f6\uff0c\u4f5c\u8005\u4eec\u63a2\u8ba8\u4e86 Agent \u76f8\u5173\u7684\u524d\u77bb\u5f00\u653e\u95ee\u9898\uff0c\u5bf9\u4e8e\u76f8\u5173\u9886\u57df\u7684\u672a\u6765\u53d1\u5c55\u8d8b\u52bf\u5177\u6709\u91cd\u8981\u4ef7\u503c\u3002<\/p>\n<p style=\"text-align:center\">\n<ul>\n<li>\n<p>\u8bba\u6587\u94fe\u63a5:https:\/\/arxiv.org\/pdf\/2309.07864.pdf<\/p>\n<\/li>\n<li>\n<p>LLM-based Agent \u8bba\u6587\u5217\u8868:https:\/\/github.com\/WooooDyy\/LLM-Agent-Paper-List<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u56e2\u961f\u6210\u5458\u8fd8\u5c06\u4e3a\u6bcf\u7bc7\u76f8\u5173\u8bba\u6587\u6dfb\u52a0\u300c\u4e00\u53e5\u8bdd\u6982\u62ec\u300d\uff0c\u6b22\u8fce Star \u4ed3\u5e93\u3002<\/strong><\/p>\n<p><strong>\u7814\u7a76\u80cc\u666f<\/strong><\/p>\n<p>\u957f\u671f\u4ee5\u6765\uff0c\u7814\u7a76\u8005\u4eec\u4e00\u76f4\u5728\u8ffd\u6c42\u4e0e\u4eba\u7c7b\u76f8\u5f53\u3001\u4e43\u81f3\u8d85\u8d8a\u4eba\u7c7b\u6c34\u5e73\u7684\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff08Artificial General Intelligence\uff0cAGI\uff09\u3002\u65e9\u57281950\u5e74\u4ee3\uff0cAlan Turing \u5c31\u5c06\u300c\u667a\u80fd\u300d\u7684\u6982\u5ff5\u6269\u5c55\u5230\u4e86\u4eba\u5de5\u5b9e\u4f53\uff0c\u5e76\u63d0\u51fa\u4e86<span 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style=\"text-align:center\">\n<p>\u4f5c\u8005\u4eec\u8bbe\u60f3\u7684\u4e00\u4e2a\u7531\u667a\u80fd\u4ee3\u7406\u6784\u6210\u7684\u548c\u8c10\u793e\u4f1a\uff0c\u4eba\u7c7b\u4e5f\u53ef\u4ee5\u53c2\u4e0e\u5176\u4e2d\u3002\u573a\u666f\u53d6\u6750\u81ea\u300a\u539f\u795e\u300b\u4e2d\u7684\u6d77\u706f\u8282\u3002<\/p>\n<p><strong>\u4e00\u4e2a Agent 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style=\"text-align:center\">\n<p>LLM-based Agent \u7684\u6982\u5ff5\u6846\u67b6\uff0c\u5305\u542b\u4e09\u4e2a\u7ec4\u6210\u90e8\u5206:\u63a7\u5236\u7aef\uff08Brain\uff09\u3001\u611f\u77e5\u7aef(Perception)\u548c\u884c\u52a8\u7aef(Action)\u3002<\/p>\n<p>\u4f5c\u8005\u4eec\u7528\u4e00\u4e2a\u4f8b\u5b50\u6765\u8bf4\u660e\u6765\u4e86 LLM-based Agent \u7684\u5de5\u4f5c\u6d41\u7a0b:\u5f53\u4eba\u7c7b\u8be2\u95ee\u662f\u5426\u4f1a\u4e0b\u96e8\u65f6\uff0c\u611f\u77e5\u7aef\uff08Perception\uff09\u5c06\u6307\u4ee4\u8f6c\u6362\u4e3a LLMs \u53ef\u4ee5\u7406\u89e3\u7684\u8868\u793a\u3002\u7136\u540e\u63a7\u5236\u7aef(Brain)\u5f00\u59cb\u6839\u636e\u5f53\u524d\u5929\u6c14\u548c\u4e92\u8054\u7f51\u4e0a\u7684\u5929\u6c14\u9884\u62a5\u8fdb\u884c\u63a8\u7406\u548c\u884c\u52a8\u89c4\u5212\u3002\u6700\u540e\uff0c\u884c\u52a8\u7aef(Action)\u505a\u51fa\u54cd\u5e94\u5e76\u5c06\u96e8\u4f1e\u9012\u7ed9\u4eba\u7c7b\u3002<\/p>\n<p>\u901a\u8fc7\u91cd\u590d\u4e0a\u8ff0\u8fc7\u7a0b\uff0c\u667a\u80fd\u4ee3\u7406\u53ef\u4ee5\u4e0d\u65ad\u83b7\u5f97\u53cd\u9988\u5e76\u4e0e\u73af\u5883\u4ea4\u4e92\u3002<\/p>\n<p><strong>\u63a7\u5236\u7aef:Brain<\/strong><\/p>\n<p>\u63a7\u5236\u7aef\u4f5c\u4e3a\u667a\u80fd\u4ee3\u7406\u6700\u6838\u5fc3\u7684\u7ec4\u6210\u6210\u5206\uff0c\u4f5c\u8005\u4eec\u4ece\u4e94\u4e2a\u65b9\u9762\u5c55\u5f00\u4ecb\u7ecd\u5176\u80fd\u529b:<\/p>\n<p><strong>\u81ea\u7136\u8bed\u8a00\u4ea4\u4e92:<\/strong>\u8bed\u8a00\u662f\u6c9f\u901a\u7684\u5a92\u4ecb\uff0c\u5176\u4e2d\u5305\u542b\u7740\u4e30\u5bcc\u7684\u4fe1\u606f\u3002\u5f97\u76ca\u4e8e LLMs \u5f3a\u5927\u7684\u81ea\u7136\u8bed\u8a00\u751f\u6210\u548c\u7406\u89e3\u80fd\u529b\uff0c\u667a\u80fd\u4ee3\u7406\u80fd\u591f\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u4e0e\u5916\u754c\u8fdb\u884c\u591a\u8f6e\u4ea4\u4e92\uff0c\u8fdb\u800c\u5b9e\u73b0\u76ee\u6807\u3002\u5177\u4f53\u800c\u8a00\uff0c\u53ef\u4ee5\u5206\u4e3a\u4e24\u4e2a\u65b9\u9762:<\/p>\n<ul>\n<li>\n<p>\u9ad8\u8d28\u91cf\u6587\u672c\u751f\u6210:\u5927\u91cf\u8bc4\u4f30\u5b9e\u9a8c\u8868\u660e\uff0cLLMs \u80fd\u591f\u751f\u6210\u6d41\u7545\u3001\u591a\u6837\u3001\u65b0\u9896\u3001\u53ef\u63a7\u7684\u6587\u672c\u3002\u5c3d\u7ba1\u5728\u4e2a\u522b\u8bed\u8a00\u4e0a\u8868\u73b0\u6b20\u4f73\uff0c\u4f46\u6574\u4f53\u4e0a\u5177\u5907\u826f\u597d\u7684\u591a\u8bed\u8a00\u80fd\u529b\u3002<\/p>\n<\/li>\n<li>\n<p>\u8a00\u5916\u4e4b\u610f\u7684\u7406\u89e3:\u9664\u4e86\u76f4\u89c2\u8868\u73b0\u51fa\u7684\u5185\u5bb9\uff0c\u8bed\u8a00\u80cc\u540e\u53ef\u80fd\u8fd8\u4f20\u9012\u4e86\u8bf4\u8bdd\u8005\u7684\u610f\u56fe\u3001\u504f\u597d\u7b49\u4fe1\u606f\u3002\u8a00\u5916\u4e4b\u610f\u6709\u52a9\u4e8e\u4ee3\u7406\u66f4\u9ad8\u6548\u5730\u6c9f\u901a\u4e0e\u5408\u4f5c\uff0c\u5927\u6a21\u578b\u5df2\u7ecf\u5c55\u73b0\u51fa\u4e86\u8fd9\u65b9\u9762\u7684\u6f5c\u529b\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u77e5\u8bc6:<\/strong>\u57fa\u4e8e\u5927\u6279\u91cf\u8bed\u6599\u8bad\u7ec3\u7684 LLMs\uff0c\u62e5\u6709\u4e86\u5b58\u50a8\u6d77\u91cf\u77e5\u8bc6\uff08Knowledge\uff09\u7684\u80fd\u529b\u3002\u9664\u4e86\u8bed\u8a00\u77e5\u8bc6\u4ee5\u5916\uff0c\u5e38\u8bc6\u77e5\u8bc6\u548c\u4e13\u4e1a\u6280\u80fd\u77e5\u8bc6\u90fd\u662f LLM-based Agents \u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002<\/p>\n<p>\u867d\u7136 LLMs \u5176\u672c\u8eab\u4ecd\u7136\u5b58\u5728\u77e5\u8bc6\u8fc7\u671f\u3001\u5e7b\u89c9\u7b49\u95ee\u9898\uff0c\u73b0\u6709\u7684\u4e00\u4e9b\u7814\u7a76\u901a\u8fc7\u77e5\u8bc6\u7f16\u8f91\u6216\u8c03\u7528\u5916\u90e8\u77e5\u8bc6\u5e93\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5f97\u5230\u7f13\u89e3\u3002<\/p>\n<p><strong>\u8bb0\u5fc6:<\/strong>\u5728\u672c\u6587\u6846\u67b6\u4e2d\uff0c\u8bb0\u5fc6\u6a21\u5757\uff08Memory\uff09\u50a8\u5b58\u4e86\u4ee3\u7406\u8fc7\u5f80\u7684\u89c2\u5bdf\u3001\u601d\u8003\u548c\u884c\u52a8\u5e8f\u5217\u3002\u901a\u8fc7\u7279\u5b9a\u7684\u8bb0\u5fc6\u673a\u5236\uff0c\u4ee3\u7406\u53ef\u4ee5\u6709\u6548\u5730\u53cd\u601d\u5e76\u5e94\u7528\u5148\u524d\u7684\u7b56\u7565\uff0c\u4f7f\u5176\u501f\u9274\u8fc7\u53bb\u7684\u7ecf\u9a8c\u6765\u9002\u5e94\u964c\u751f\u7684\u73af\u5883\u3002<\/p>\n<p>\u901a\u5e38\u7528\u4e8e\u63d0\u5347\u8bb0\u5fc6\u80fd\u529b\u7684\u65b9\u6cd5\u6709\u4e09\u79cd:<\/p>\n<ul>\n<li>\n<p>\u6269\u5c55 Backbone \u67b6\u6784\u7684\u957f\u5ea6\u9650\u5236:\u9488\u5bf9 Transformers \u56fa\u6709\u7684\u5e8f\u5217\u957f\u5ea6\u9650\u5236\u95ee\u9898\u8fdb\u884c\u6539\u8fdb\u3002<\/p>\n<\/li>\n<li>\n<p>\u603b\u7ed3\u8bb0\u5fc6\uff08Summarizing\uff09:\u5bf9\u8bb0\u5fc6\u8fdb\u884c\u6458\u8981\u603b\u7ed3\uff0c\u589e\u5f3a\u4ee3\u7406\u4ece\u8bb0\u5fc6\u4e2d\u63d0\u53d6\u5173\u952e\u7ec6\u8282\u7684\u80fd\u529b\u3002<\/p>\n<\/li>\n<li>\n<p>\u538b\u7f29\u8bb0\u5fc6\uff08Compressing\uff09:\u901a\u8fc7\u4f7f\u7528\u5411\u91cf\u6216\u9002\u5f53\u7684\u6570\u636e\u7ed3\u6784\u5bf9\u8bb0\u5fc6\u8fdb\u884c\u538b\u7f29\uff0c\u53ef\u4ee5\u63d0\u9ad8\u8bb0\u5fc6\u68c0\u7d22\u6548\u7387\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u6b64\u5916\uff0c\u8bb0\u5fc6\u7684\u68c0\u7d22\u65b9\u6cd5\u4e5f\u5f88\u91cd\u8981\uff0c\u53ea\u6709\u68c0\u7d22\u5230\u5408\u9002\u7684\u5185\u5bb9\uff0c\u4ee3\u7406\u624d\u80fd\u591f\u8bbf\u95ee\u5230\u6700\u76f8\u5173\u548c\u51c6\u786e\u7684\u4fe1\u606f\u3002<\/p>\n<p><strong>\u63a8\u7406 &amp; \u89c4\u5212:<\/strong>\u63a8\u7406\u80fd\u529b\uff08Reasoning\uff09\u5bf9\u4e8e\u667a\u80fd\u4ee3\u7406\u8fdb\u884c\u51b3\u7b56\u3001\u5206\u6790\u7b49\u590d\u6742\u4efb\u52a1\u800c\u8a00\u81f3\u5173\u91cd\u8981\u3002\u5177\u4f53\u5230 LLMs \u4e0a\uff0c\u5c31\u662f\u4ee5 \u601d\u7ef4\u94fe(Chain-of-Thought\uff0cCoT) \u4e3a\u4ee3\u8868\u7684\u4e00\u7cfb\u5217\u63d0\u793a\u65b9\u6cd5\u3002\u800c\u89c4\u5212(Planning)\u5219\u662f\u9762\u5bf9\u5927\u578b\u6311\u6218\u65f6\u5e38\u7528\u7684\u7b56\u7565\u3002\u5b83\u5e2e\u52a9\u4ee3\u7406\u7ec4\u7ec7\u601d\u7ef4\u3001\u8bbe\u5b9a\u76ee\u6807\u5e76\u786e\u5b9a\u5b9e\u73b0\u8fd9\u4e9b\u76ee\u6807\u7684\u6b65\u9aa4\u3002\u5728\u5177\u4f53\u5b9e\u73b0\u4e2d\uff0c\u89c4\u5212\u53ef\u4ee5\u5305\u542b\u4e24\u4e2a\u6b65\u9aa4:<\/p>\n<ul>\n<li>\n<p>\u8ba1\u5212\u5236\u5b9a\uff08Plan Formulation\uff09:\u4ee3\u7406\u5c06\u590d\u6742\u4efb\u52a1\u5206\u89e3\u4e3a\u66f4\u6613\u4e8e\u7ba1\u7406\u7684\u5b50\u4efb\u52a1\u3002\u4f8b\u5982:\u4e00\u6b21\u6027\u5206\u89e3\u518d\u6309\u987a\u5e8f\u6267\u884c\u3001\u9010\u6b65\u89c4\u5212\u5e76\u6267\u884c\u3001\u591a\u8def\u89c4\u5212\u5e76\u9009\u53d6<span class=\"spamTxt\">\u6700\u4f18<\/span>\u8def\u5f84\u7b49\u3002\u5728\u4e00\u4e9b\u9700\u8981\u4e13\u4e1a\u77e5\u8bc6\u7684\u573a\u666f\u4e2d\uff0c\u4ee3\u7406\u53ef\u4e0e\u7279\u5b9a\u9886\u57df\u7684 Planner \u6a21\u5757\u96c6\u6210\uff0c\u63d0\u5347\u80fd\u529b\u3002<\/p>\n<\/li>\n<li>\n<p>\u8ba1\u5212\u53cd\u601d\uff08Plan Reflection\uff09:\u5728\u5236\u5b9a\u8ba1\u5212\u540e\uff0c\u53ef\u4ee5\u8fdb\u884c\u53cd\u601d\u5e76\u8bc4\u4f30\u5176\u4f18\u52a3\u3002\u8fd9\u79cd\u53cd\u601d\u4e00\u822c\u6765\u81ea\u4e09\u4e2a\u65b9\u9762:\u501f\u52a9\u5185\u90e8\u53cd\u9988\u673a\u5236;\u4e0e\u4eba\u7c7b\u4e92\u52a8\u83b7\u5f97\u53cd\u9988;\u4ece\u73af\u5883\u4e2d\u83b7\u5f97\u53cd\u9988\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u8fc1\u79fb\u6027 &amp; \u6cdb\u5316\u6027:<\/strong>\u62e5\u6709\u4e16\u754c\u77e5\u8bc6\u7684 LLMs \u8d4b\u4e88\u667a\u80fd\u4ee3\u7406\u5177\u5907\u5f3a\u5927\u7684\u8fc1\u79fb\u4e0e\u6cdb\u5316\u80fd\u529b\u3002\u4e00\u4e2a\u597d\u7684\u4ee3\u7406\u4e0d\u662f\u9759\u6001\u7684\u77e5\u8bc6\u5e93\uff0c\u8fd8\u5e94\u5177\u5907\u52a8\u6001\u7684\u5b66\u4e60\u80fd\u529b:<\/p>\n<ul>\n<li>\n<p>\u5bf9\u672a\u77e5\u4efb\u52a1\u7684\u6cdb\u5316:\u968f\u7740\u6a21\u578b\u89c4\u6a21\u4e0e\u8bad\u7ec3\u6570\u636e\u7684\u589e\u5927\uff0cLLMs \u5728\u89e3\u51b3\u672a\u77e5\u4efb\u52a1\u4e0a\u6d8c\u73b0\u51fa\u4e86\u60ca\u4eba\u7684\u80fd\u529b\u3002\u901a\u8fc7\u6307\u4ee4\u5fae\u8c03\u7684\u5927\u6a21\u578b\u5728 zero-shot \u6d4b\u8bd5\u4e2d\u8868\u73b0\u826f\u597d\uff0c\u5728\u8bb8\u591a\u4efb\u52a1\u4e0a\u90fd\u53d6\u5f97\u4e86\u4e0d\u4e9a\u4e8e\u4e13\u5bb6\u6a21\u578b\u7684\u6210\u7ee9\u3002<\/p>\n<\/li>\n<li>\n<p>\u60c5\u666f\u5b66\u4e60\uff08In-context Learning\uff09:\u5927\u6a21\u578b\u4e0d\u4ec5\u80fd\u591f\u4ece\u4e0a\u4e0b\u6587\u7684\u5c11\u91cf\u793a\u4f8b\u4e2d\u8fdb\u884c\u7c7b\u6bd4\u5b66\u4e60\uff0c\u8fd9\u79cd\u80fd\u529b\u8fd8\u53ef\u4ee5\u6269\u5c55\u5230\u6587\u672c\u4ee5\u5916\u7684\u591a\u6a21\u6001\u573a\u666f\uff0c\u4e3a\u4ee3\u7406\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u5e94\u7528\u63d0\u4f9b\u4e86\u66f4\u591a\u53ef\u80fd\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u6301\u7eed\u5b66\u4e60\uff08Continual Learning\uff09:\u6301\u7eed\u5b66\u4e60\u7684\u4e3b\u8981\u6311\u6218\u662f\u707e\u96be\u6027\u9057\u5fd8\uff0c\u5373\u5f53\u6a21\u578b\u5b66\u4e60\u65b0\u4efb\u52a1\u65f6\u5bb9\u6613\u4e22\u5931\u8fc7\u5f80\u4efb\u52a1\u4e2d\u7684\u77e5\u8bc6\u3002\u4e13\u6709\u9886\u57df\u7684\u667a\u80fd\u4ee3\u7406\u5e94\u5f53\u5c3d\u91cf\u907f\u514d\u4e22\u5931\u901a\u7528\u9886\u57df\u7684\u77e5\u8bc6\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u611f\u77e5\u7aef:Perception<\/strong><\/p>\n<p>\u4eba\u7c7b\u901a\u8fc7\u591a\u6a21\u6001\u7684\u65b9\u5f0f\u611f\u77e5\u4e16\u754c\uff0c\u6240\u4ee5\u7814\u7a76\u8005\u4eec\u5bf9 LLM-based Agents \u62b1\u6709\u540c\u6837\u7684\u671f\u5f85\u3002\u591a\u6a21\u6001\u611f\u77e5\u80fd\u52a0\u6df1\u4ee3\u7406\u5bf9\u5de5\u4f5c\u73af\u5883\u7684\u7406\u89e3\uff0c\u663e\u8457\u63d0\u5347\u4e86\u5176\u901a\u7528\u6027\u3002<\/p>\n<p><strong>\u6587\u672c\u8f93\u5165:<\/strong>\u4f5c\u4e3a LLMs \u6700\u57fa\u7840\u7684\u80fd\u529b\uff0c\u8fd9\u91cc\u4e0d\u518d\u8d58\u8ff0\u3002<\/p>\n<p><strong>\u89c6\u89c9\u8f93\u5165:<\/strong>LLMs \u672c\u8eab\u5e76\u4e0d\u5177\u5907\u89c6\u89c9\u7684\u611f\u77e5\u80fd\u529b\uff0c\u53ea\u80fd\u7406\u89e3\u79bb\u6563\u7684\u6587\u672c\u5185\u5bb9\u3002\u800c\u89c6\u89c9\u8f93\u5165\u901a\u5e38\u5305\u542b\u6709\u5173\u4e16\u754c\u7684\u5927\u91cf\u4fe1\u606f\uff0c\u5305\u62ec\u5bf9\u8c61\u7684\u5c5e\u6027\uff0c\u7a7a\u95f4\u5173\u7cfb\uff0c\u573a\u666f\u5e03\u5c40\u7b49\u7b49\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u6709:<\/p>\n<ul>\n<li>\n<p>\u5c06\u89c6\u89c9\u8f93\u5165\u8f6c\u4e3a\u5bf9\u5e94\u7684\u6587\u672c\u63cf\u8ff0\uff08Image Captioning\uff09:\u53ef\u4ee5\u88ab LLMs \u76f4\u63a5\u7406\u89e3\uff0c\u5e76\u4e14\u53ef\u89e3\u91ca\u6027\u9ad8\u3002<\/p>\n<\/li>\n<li>\n<p>\u5bf9\u89c6\u89c9\u4fe1\u606f\u8fdb\u884c\u7f16\u7801\u8868\u793a:\u4ee5\u89c6\u89c9\u57fa\u7840\u6a21\u578b + LLMs \u7684\u8303\u5f0f\u6765\u6784\u6210\u611f\u77e5\u6a21\u5757\uff0c\u901a\u8fc7\u5bf9\u9f50\u64cd\u4f5c\u6765\u8ba9\u6a21\u578b\u7406\u89e3\u4e0d\u540c\u6a21\u6001\u7684\u5185\u5bb9\uff0c\u53ef\u4ee5\u7aef\u5230\u7aef\u7684\u65b9\u5f0f\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u542c\u89c9\u8f93\u5165:<\/strong>\u542c\u89c9\u4e5f\u662f\u4eba\u7c7b\u611f\u77e5\u4e2d\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002\u7531\u4e8e LLMs \u6709\u7740\u4f18\u79c0\u7684\u5de5\u5177\u8c03\u7528\u80fd\u529b\uff0c\u4e00\u4e2a\u76f4\u89c2\u7684\u60f3\u6cd5\u5c31\u662f:\u4ee3\u7406\u53ef\u4ee5\u5c06 LLMs \u4f5c\u4e3a\u63a7\u5236\u67a2\u7ebd\uff0c\u901a\u8fc7\u7ea7\u8054\u7684\u65b9\u5f0f\u8c03\u7528\u73b0\u6709\u7684\u5de5\u5177\u96c6\u6216\u8005\u4e13\u5bb6\u6a21\u578b\uff0c\u611f\u77e5\u97f3\u9891\u4fe1\u606f\u3002\u6b64\u5916\uff0c\u97f3\u9891\u4e5f\u53ef\u4ee5\u901a\u8fc7\u9891\u8c31\u56fe\uff08Spectrogram\uff09\u7684\u65b9\u5f0f\u8fdb\u884c\u76f4\u89c2\u8868\u793a\u3002\u9891\u8c31\u56fe\u53ef\u4ee5\u4f5c\u4e3a\u5e73\u9762\u56fe\u50cf\u6765\u5c55\u793a2D \u4fe1\u606f\uff0c\u56e0\u6b64\uff0c\u4e00\u4e9b\u89c6\u89c9\u7684\u5904\u7406\u65b9\u6cd5\u53ef\u4ee5\u8fc1\u79fb\u5230\u8bed\u97f3\u9886\u57df\u3002<\/p>\n<p><strong>\u5176\u4ed6\u8f93\u5165:<\/strong>\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u4fe1\u606f\u8fdc\u4e0d\u6b62\u6587\u672c\u3001\u89c6\u89c9\u548c\u542c\u89c9\u3002\u4f5c\u8005\u4eec\u5e0c\u671b\u5728\u672a\u6765\uff0c\u667a\u80fd\u4ee3\u7406\u80fd\u914d\u5907\u66f4\u4e30\u5bcc\u7684\u611f\u77e5\u6a21\u5757\uff0c\u4f8b\u5982\u89e6\u89c9\u3001\u55c5\u89c9\u7b49\u5668\u5b98\uff0c\u7528\u4e8e\u83b7\u53d6\u76ee\u6807\u7269\u4f53\u66f4\u52a0\u4e30\u5bcc\u7684\u5c5e\u6027\u3002\u540c\u65f6\uff0c\u4ee3\u7406\u4e5f\u80fd\u5bf9\u5468\u56f4\u73af\u5883\u7684\u6e29\u5ea6\u3001\u6e7f\u5ea6\u548c\u660e\u6697\u7a0b\u5ea6\u6709\u6e05\u695a\u7684\u611f\u53d7\uff0c\u91c7\u53d6\u66f4 Environment-aware \u7684\u884c\u52a8\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4e3a\u4ee3\u7406\u5f15\u5165\u5bf9\u66f4\u5e7f\u9614\u7684\u6574\u4f53\u73af\u5883\u7684\u611f\u77e5:\u91c7\u7528\u6fc0\u5149\u96f7\u8fbe\u3001GPS\u3001\u60ef\u6027\u6d4b\u91cf\u5355\u5143\u7b49\u6210\u719f\u7684\u611f\u77e5\u6a21\u5757\u3002<\/p>\n<p><strong>\u884c\u52a8\u7aef:Action<\/strong><\/p>\n<p>\u5728\u5927\u8111\u505a\u51fa\u5206\u6790\u3001\u51b3\u7b56\u540e\uff0c\u4ee3\u7406\u8fd8\u9700\u8981\u505a\u51fa\u884c\u52a8\u4ee5\u9002\u5e94\u6216\u6539\u53d8\u73af\u5883:<\/p>\n<p><strong>\u6587\u672c\u8f93\u51fa:<\/strong>\u4f5c\u4e3a LLMs \u6700\u57fa\u7840\u7684\u80fd\u529b\uff0c\u8fd9\u91cc\u4e0d\u518d\u8d58\u8ff0\u3002<\/p>\n<p><strong>\u5de5\u5177\u4f7f\u7528:<\/strong>\u5c3d\u7ba1 LLMs \u62e5\u6709\u51fa\u8272\u7684\u77e5\u8bc6\u50a8\u5907\u548c\u4e13\u4e1a\u80fd\u529b\uff0c\u4f46\u5728\u9762\u5bf9\u5177\u4f53\u95ee\u9898\u65f6\uff0c\u4e5f\u53ef\u80fd\u4f1a\u51fa\u73b0\u9c81\u68d2\u6027\u95ee\u9898\u3001\u5e7b\u89c9\u7b49\u4e00\u7cfb\u5217\u6311\u6218\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u5de5\u5177\u4f5c\u4e3a\u4f7f\u7528\u8005\u80fd\u529b\u7684\u6269\u5c55\uff0c\u53ef\u4ee5\u5728\u4e13\u4e1a\u6027\u3001\u4e8b\u5b9e\u6027\u3001\u53ef\u89e3\u91ca\u6027\u7b49\u65b9\u9762\u63d0\u4f9b\u5e2e\u52a9\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u8ba1\u7b97\u5668\u6765\u8ba1\u7b97\u6570\u5b66\u95ee\u9898\u3001\u4f7f\u7528\u641c\u7d22\u5f15\u64ce\u6765\u641c\u5bfb\u5b9e\u65f6\u4fe1\u606f\u3002<\/p>\n<p>\u53e6\u5916\uff0c\u5de5\u5177\u4e5f\u53ef\u4ee5\u6269\u5c55\u667a\u80fd\u4ee3\u7406\u7684\u884c\u52a8\u7a7a\u95f4\u3002\u4f8b\u5982\uff0c\u901a\u8fc7\u8c03\u7528\u8bed\u97f3\u751f\u6210\u3001\u56fe\u50cf\u751f\u6210\u7b49\u4e13\u5bb6\u6a21\u578b\uff0c\u6765\u83b7\u5f97\u591a\u6a21\u6001\u7684\u884c\u52a8\u65b9\u5f0f\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u8ba9\u4ee3\u7406\u6210\u4e3a\u4f18\u79c0\u7684\u5de5\u5177\u4f7f\u7528\u8005\uff0c\u5373\u5b66\u4f1a\u5982\u4f55\u6709\u6548\u5730\u5229\u7528\u5de5\u5177\uff0c\u662f\u975e\u5e38\u91cd\u8981\u4e14\u6709\u524d\u666f\u7684\u65b9\u5411\u3002<\/p>\n<p>\u76ee\u524d\uff0c\u4e3b\u8981\u7684\u5de5\u5177\u5b66\u4e60\u65b9\u6cd5\u5305\u62ec\u4ece\u6f14\u793a\u4e2d\u5b66\u4e60\u548c\u4ece\u53cd\u9988\u4e2d\u5b66\u4e60\u3002\u6b64\u5916\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u5143\u5b66\u4e60\u3001\u8bfe\u7a0b\u5b66\u4e60\u7b49\u65b9\u5f0f\u6765\u8ba9\u4ee3\u7406\u7a0b\u5e8f\u5728\u4f7f\u7528\u5404\u79cd\u5de5\u5177\u65b9\u9762\u5177\u5907\u6cdb\u5316\u80fd\u529b\u3002\u66f4\u8fdb\u4e00\u6b65\uff0c\u667a\u80fd\u4ee3\u7406\u8fd8\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5b66\u4e60\u5982\u4f55\u300c\u81ea\u7ed9\u81ea\u8db3\u300d\u5730\u5236\u9020\u5de5\u5177\uff0c\u4ece\u800c\u63d0\u9ad8\u5176\u81ea\u4e3b\u6027\u548c\u72ec\u7acb\u6027\u3002<\/p>\n<p><strong>\u5177\u8eab\u884c\u52a8:<\/strong>\u5177\u8eab\uff08Embodyment\uff09\u662f\u6307\u4ee3\u7406\u4e0e\u73af\u5883\u4ea4\u4e92\u8fc7\u7a0b\u4e2d\uff0c\u7406\u89e3\u3001\u6539\u9020\u73af\u5883\u5e76\u66f4\u65b0\u81ea\u8eab\u72b6\u6001\u7684\u80fd\u529b\u3002\u5177\u8eab\u884c\u52a8(Embodied Action)\u88ab\u89c6\u4e3a\u865a\u62df\u667a\u80fd\u4e0e\u7269\u7406\u73b0\u5b9e\u7684\u4e92\u901a\u6865\u6881\u3002<\/p>\n<p>\u4f20\u7edf\u7684\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684 Agent \u5728\u6837\u672c\u6548\u7387\u3001\u6cdb\u5316\u6027\u548c\u590d\u6742\u95ee\u9898\u63a8\u7406\u7b49\u65b9\u9762\u5b58\u5728\u5c40\u9650\u6027\uff0c\u800c LLM-based Agents \u901a\u8fc7\u5f15\u5165\u5927\u6a21\u578b\u4e30\u5bcc\u7684\u5185\u5728\u77e5\u8bc6\uff0c\u4f7f\u5f97 Embodied Agent \u80fd\u591f\u50cf\u4eba\u7c7b\u4e00\u6837\u4e3b\u52a8\u611f\u77e5\u3001\u5f71\u54cd\u7269\u7406\u73af\u5883\u3002\u6839\u636e\u4ee3\u7406\u5728\u4efb\u52a1\u4e2d\u7684\u81ea\u4e3b\u7a0b\u5ea6\u6216\u8005\u8bf4 Action \u7684\u590d\u6742\u7a0b\u5ea6\uff0c\u53ef\u4ee5\u6709\u4ee5\u4e0b\u7684\u539f\u5b50 Action:<\/p>\n<ul>\n<li>\n<p>Observation \u53ef\u4ee5\u5e2e\u52a9\u667a\u80fd\u4ee3\u7406\u5728\u73af\u5883\u4e2d\u5b9a\u4f4d\u81ea\u8eab\u4f4d\u7f6e\u3001\u611f\u77e5\u5bf9\u8c61\u7269\u54c1\u548c\u83b7\u53d6\u5176\u4ed6\u73af\u5883\u4fe1\u606f;<\/p>\n<\/li>\n<li>\n<p>Manipulation \u5219\u662f\u5b8c\u6210\u4e00\u4e9b\u5177\u4f53\u7684\u6293\u53d6\u3001\u63a8\u52a8\u7b49\u64cd\u4f5c\u4efb\u52a1;<\/p>\n<\/li>\n<li>\n<p>Navigation \u8981\u6c42\u667a\u80fd\u4ee3\u7406\u6839\u636e\u4efb\u52a1\u76ee\u6807\u53d8\u6362\u81ea\u8eab\u4f4d\u7f6e\u5e76\u6839\u636e\u73af\u5883\u4fe1\u606f\u66f4\u65b0\u81ea\u8eab\u72b6\u6001\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u7ec4\u5408\u8fd9\u4e9b\u539f\u5b50\u884c\u52a8\uff0c\u4ee3\u7406\u53ef\u4ee5\u5b8c\u6210\u66f4\u4e3a\u590d\u6742\u7684\u4efb\u52a1\u3002\u4f8b\u5982\u300c\u53a8\u623f\u7684\u897f\u74dc\u6bd4\u7897\u5927\u5417?\u300d\u8fd9\u7c7b\u5177\u8eab\u7684 QA \u4efb\u52a1\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u4ee3\u7406\u9700\u8981\u5bfc\u822a\u5230\u53a8\u623f\uff0c\u5e76\u5728\u89c2\u5bdf\u4e8c\u8005\u7684\u5927\u5c0f\u540e\u5f97\u51fa\u7b54\u6848\u3002<\/p>\n<p>\u53d7\u9650\u4e8e\u7269\u7406\u4e16\u754c\u786c\u4ef6\u7684\u9ad8\u6210\u672c\u548c\u5177\u8eab\u6570\u636e\u96c6\u7f3a\u4e4f\u7b49\u95ee\u9898\uff0c\u76ee\u524d\u5177\u8eab\u884c\u52a8\u7684\u7814\u7a76\u4ecd\u4e3b\u8981\u96c6\u4e2d\u4e8e\u6e38\u620f\u5e73\u53f0\u300a\u6211\u7684\u4e16\u754c\u300b\u7b49\u865a\u62df\u6c99\u76d2\u73af\u5883\u4e2d\u3002\u56e0\u6b64\uff0c\u4e00\u65b9\u9762\u4f5c\u8005\u4eec\u671f\u5f85\u6709\u4e00\u79cd\u66f4\u8d34\u8fd1\u73b0\u5b9e\u7684\u4efb\u52a1\u8303\u5f0f\u548c\u8bc4\u4ef7\u6807\u51c6\uff0c\u53e6\u4e00\u65b9\u9762\uff0c\u4e5f\u9700\u8981\u5927\u5bb6\u5728\u9ad8\u6548\u6784\u5efa\u76f8\u5173\u6570\u636e\u96c6\u4e0a\u9762\u6709\u66f4\u591a\u7684\u63a2\u7d22\u3002<\/p>\n<p><strong>Agent in Practice:\u591a\u6837\u5316\u7684\u5e94\u7528\u573a\u666f<\/strong><\/p>\n<p>\u5f53\u4e0b\uff0cLLM-based Agents \u5df2\u7ecf\u5c55\u73b0\u51fa\u4e86\u4ee4\u4eba\u77a9\u76ee\u7684\u591a\u6837\u6027\u548c\u5f3a\u5927\u6027\u80fd\u3002AutoGPT\u3001MetaGPT\u3001CAMEL \u4ee5\u53ca GPT Engineer \u7b49\u8033\u719f\u80fd\u8be6\u7684\u5e94\u7528\u5b9e\u4f8b\u6b63\u5728\u4ee5\u524d\u6240\u672a\u6709\u7684\u901f\u5ea6\u84ec\u52c3\u53d1\u5c55\u3002<\/p>\n<p>\u5728\u4ecb\u7ecd\u7684\u5177\u4f53\u7684\u5e94\u7528\u4e4b\u524d\uff0c\u4f5c\u8005\u4eec\u8ba8\u8bba\u4e86 Agent in Practice \u7684\u8bbe\u8ba1\u539f\u5219:<\/p>\n<p>1. \u5e2e\u52a9\u7528\u6237\u4ece\u65e5\u5e38\u4efb\u52a1\u3001\u91cd\u590d\u52b3\u52a8\u4e2d\u89e3\u8131\u51fa\u6765\uff0c\u51cf\u8f7b\u4eba\u7c7b\u7684\u5de5\u4f5c\u538b\u529b\uff0c\u63d0\u9ad8\u89e3\u51b3\u4efb\u52a1\u7684\u6548\u7387;<\/p>\n<p>2. \u4e0d\u518d\u9700\u8981\u7528\u6237\u63d0\u51fa\u663e\u5f0f\u7684\u4f4e\u7ea7\u6307\u4ee4\uff0c\u5c31\u53ef\u4ee5\u5b8c\u5168\u81ea\u4e3b\u7684\u5206\u6790\u3001\u89c4\u5212\u3001\u89e3\u51b3\u95ee\u9898;<\/p>\n<p>3. \u5728\u89e3\u653e\u7528\u6237\u7684\u53cc\u624b\u4ee5\u540e\uff0c\u5c1d\u8bd5\u89e3\u653e\u5927\u8111:\u5728\u524d\u6cbf\u79d1\u5b66\u9886\u57df\u5145\u5206\u53d1\u6325\u6f5c\u80fd\uff0c\u5b8c\u6210\u521b\u65b0\u6027\u7684\u3001\u63a2\u7d22\u6027\u7684\u5de5\u4f5c\u3002<\/p>\n<p>\u5728\u8fd9\u4e2a\u57fa\u7840\u4e0a\uff0c\u4ee3\u7406\u7684\u5e94\u7528\u53ef\u4ee5\u6709\u4e09\u79cd\u8303\u5f0f:<\/p>\n<p style=\"text-align:center\">\n<p>LLM-based Agent \u7684\u4e09\u79cd\u5e94\u7528\u8303\u5f0f:\u5355\u4ee3\u7406\u3001\u591a\u4ee3\u7406\u3001\u4eba\u673a\u4ea4\u4e92\u3002<\/p>\n<p><strong>\u5355\u4ee3\u7406\u573a\u666f<\/strong><\/p>\n<p>\u53ef\u4ee5\u63a5\u53d7\u4eba\u7c7b\u81ea\u7136\u8bed\u8a00\u547d\u4ee4\uff0c\u6267\u884c\u65e5\u5e38\u4efb\u52a1\u7684\u667a\u80fd\u4ee3\u7406\u76ee\u524d\u5907\u53d7\u7528\u6237\u9752\u7750\uff0c\u5177\u6709\u5f88\u9ad8\u7684\u73b0\u5b9e\u4f7f\u7528\u4ef7\u503c\u3002\u4f5c\u8005\u4eec\u9996\u5148\u5728\u5355\u667a\u80fd\u4ee3\u7406\u7684\u5e94\u7528\u573a\u666f\u4e2d\uff0c\u9610\u8ff0\u4e86\u5176\u591a\u6837\u5316\u7684\u5e94\u7528\u573a\u666f\u4e0e\u5bf9\u5e94\u80fd\u529b\u3002<\/p>\n<p>\u5728\u672c\u6587\u4e2d\uff0c\u5355\u667a\u80fd\u4ee3\u7406\u7684\u5e94\u7528\u88ab\u5212\u5206\u4e3a\u5982\u4e0b\u4e09\u4e2a\u5c42\u6b21:<\/p>\n<p style=\"text-align:center\">\n<p>\u5355\u4ee3\u7406\u5e94\u7528\u573a\u666f\u7684\u4e09\u4e2a\u5c42\u6b21:\u4efb\u52a1\u5bfc\u5411\u3001\u521b\u65b0\u5bfc\u5411\u3001\u751f\u547d\u5468\u671f\u5bfc\u5411\u3002<\/p>\n<ul>\n<li>\n<p>\u5728<strong>\u4efb\u52a1\u5bfc\u5411<\/strong>\u7684\u90e8\u7f72\u4e2d\uff0c\u4ee3\u7406\u5e2e\u52a9\u4eba\u7c7b\u7528\u6237\u5904\u7406\u65e5\u5e38\u57fa\u672c\u4efb\u52a1\u3002\u5b83\u4eec\u9700\u8981\u5177\u5907\u57fa\u672c\u7684\u6307\u4ee4\u7406\u89e3\u3001\u4efb\u52a1\u5206\u89e3\u3001\u4e0e\u73af\u5883\u4ea4\u4e92\u7684\u80fd\u529b\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6839\u636e\u73b0\u6709\u7684\u4efb\u52a1\u7c7b\u578b\uff0c\u4ee3\u7406\u7684\u5b9e\u9645\u5e94\u7528\u53c8\u53ef\u4ee5\u5206\u4e3a\u6a21\u62df\u7f51\u7edc\u73af\u5883\u4e0e\u6a21\u62df\u751f\u6d3b\u573a\u666f\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728<strong>\u521b\u65b0\u5bfc\u5411<\/strong>\u7684\u90e8\u7f72\u4e2d\uff0c\u4ee3\u7406\u80fd\u591f\u5728\u524d\u6cbf\u79d1\u5b66\u9886\u57df\u5c55\u73b0\u51fa\u81ea\u4e3b\u63a2\u7a76\u7684\u6f5c\u529b\u3002\u867d\u7136\u6765\u81ea\u4e13\u4e1a\u9886\u57df\u7684\u56fa\u6709\u590d\u6742\u6027\u548c\u8bad\u7ec3\u6570\u636e\u7684\u7f3a\u4e4f\u7ed9\u667a\u80fd\u4ee3\u7406\u7684\u6784\u5efa\u5e26\u6765\u4e86\u963b\u788d\uff0c\u4f46\u76ee\u524d\u5df2\u7ecf\u6709\u8bb8\u591a\u5de5\u4f5c\u5728\u5316\u5b66\u3001\u6750\u6599\u3001\u8ba1\u7b97\u673a\u7b49\u9886\u57df\u53d6\u5f97\u4e86\u8fdb\u5c55\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728<strong>\u751f\u547d\u5468\u671f\u5bfc\u5411<\/strong>\u7684\u90e8\u7f72\u4e2d\uff0c\u4ee3\u7406\u5177\u5907\u5728\u4e00\u4e2a\u5f00\u653e\u4e16\u754c\u4e2d\u4e0d\u65ad\u63a2\u7d22\u3001\u5b66\u4e60\u548c\u4f7f\u7528\u65b0\u6280\u80fd\uff0c\u5e76\u957f\u4e45\u751f\u5b58\u7684\u80fd\u529b\u3002\u5728\u672c\u8282\u4e2d\uff0c\u4f5c\u8005\u4eec\u4ee5\u300a\u6211\u7684\u4e16\u754c\u300b\u6e38\u620f\u4e3a\u4f8b\u5c55\u5f00\u4ecb\u7ecd\u3002\u7531\u4e8e\u6e38\u620f\u4e2d\u7684\u751f\u5b58\u6311\u6218\u53ef\u4ee5\u88ab\u8ba4\u4e3a\u662f\u73b0\u5b9e\u4e16\u754c\u7684\u4e00\u4e2a\u7f29\u5f71\uff0c\u5df2\u7ecf\u6709\u8bb8\u591a\u7814\u7a76\u8005\u5c06\u5176\u4f5c\u4e3a\u5f00\u53d1\u548c\u6d4b\u8bd5\u4ee3\u7406\u7efc\u5408\u80fd\u529b\u7684\u72ec\u7279\u5e73\u53f0\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u591a\u4ee3\u7406\u573a\u666f<\/strong><\/p>\n<p>\u65e9\u57281986\u5e74\uff0cMarvin Minsky \u5c31\u505a\u51fa\u4e86\u5177\u6709\u524d\u77bb\u6027\u7684\u9884\u8a00\u3002\u4ed6\u5728\u300a\u5fc3\u667a\u793e\u4f1a\u300b\uff08The Society of Mind\uff09\u4e00\u4e66\u4e2d\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u667a\u529b\u7406\u8bba\uff0c\u8ba4\u4e3a\u667a\u529b\u662f\u5728\u8bb8\u591a\u8f83\u5c0f\u7684\u3001\u7279\u5b9a\u529f\u80fd\u7684\u4ee3\u7406\u7684\u76f8\u4e92\u4f5c\u7528\u4e2d\u4ea7\u751f\u7684\u3002\u4f8b\u5982\uff0c\u4e00\u4e9b\u4ee3\u7406\u53ef\u80fd\u8d1f\u8d23\u8bc6\u522b\u6a21\u5f0f\uff0c\u800c\u5176\u4ed6\u4ee3\u7406\u53ef\u80fd\u8d1f\u8d23\u505a\u51fa\u51b3\u7b56\u6216\u751f\u6210\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<p>\u8fd9\u4e00\u60f3\u6cd5\u968f\u7740\u5206\u5e03\u5f0f\u4eba\u5de5\u667a\u80fd\u7684\u5174\u8d77\u5f97\u5230\u4e86\u5177\u4f53\u5b9e\u8df5\u3002\u591a\u4ee3\u7406\u7cfb\u7edf\uff08Multi-Agent System\uff09\u4f5c\u4e3a\u5176\u4e2d\u4e3b\u8981\u7684\u7814\u7a76\u95ee\u9898\u4e4b\u4e00\uff0c\u4e3b\u8981\u5173\u6ce8\u4ee3\u7406\u4eec\u5982\u4f55\u6709\u6548\u5730\u534f\u8c03\u5e76\u534f\u4f5c\u89e3\u51b3\u95ee\u9898\u3002\u672c\u6587\u4f5c\u8005\u5c06\u591a\u4ee3\u7406\u4e4b\u95f4\u7684\u4ea4\u4e92\u5212\u5206\u4e3a\u4ee5\u4e0b\u4e24\u79cd\u5f62\u5f0f:<\/p>\n<p style=\"text-align:center\">\n<p>\u591a\u4ee3\u7406\u5e94\u7528\u573a\u666f\u7684\u4e24\u79cd\u4ea4\u4e92\u5f62\u5f0f:\u5408\u4f5c\u578b\u4e92\u52a8\u3001\u5bf9\u6297\u578b\u4e92\u52a8\u3002<\/p>\n<p><strong>\u5408\u4f5c\u578b\u4e92\u52a8:<\/strong>\u4f5c\u4e3a\u5b9e\u9645\u5e94\u7528\u4e2d\u90e8\u7f72\u6700\u4e3a\u5e7f\u6cdb\u7684\u7c7b\u578b\uff0c\u5408\u4f5c\u578b\u7684\u4ee3\u7406\u7cfb\u7edf\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u4efb\u52a1\u6548\u7387\u3001\u5171\u540c\u6539\u8fdb\u51b3\u7b56\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6839\u636e\u5408\u4f5c\u5f62\u5f0f\u7684\u4e0d\u540c\uff0c\u4f5c\u8005\u4eec\u53c8\u5c06\u5408\u4f5c\u578b\u4e92\u52a8\u7ec6\u5206\u4e3a\u65e0\u5e8f\u5408\u4f5c\u4e0e\u6709\u5e8f\u5408\u4f5c\u3002<\/p>\n<ul>\n<li>\n<p>\u5f53\u6240\u6709\u4ee3\u7406\u81ea\u7531\u5730\u8868\u8fbe\u81ea\u5df1\u7684\u89c2\u70b9\u3001\u770b\u6cd5\uff0c\u4ee5\u4e00\u79cd\u6ca1\u6709\u987a\u5e8f\u7684\u65b9\u5f0f\u8fdb\u884c\u5408\u4f5c\u65f6\uff0c\u79f0\u4e3a\u65e0\u5e8f\u5408\u4f5c\u3002<\/p>\n<\/li>\n<li>\n<p>\u5f53\u6240\u6709\u4ee3\u7406\u9075\u5faa\u4e00\u5b9a\u7684\u89c4\u5219\uff0c\u4f8b\u5982\u4ee5\u6d41\u6c34\u7ebf\u7684\u5f62\u5f0f\u9010\u4e00\u53d1\u8868\u81ea\u5df1\u7684\u89c2\u70b9\u65f6\uff0c\u6574\u4e2a\u5408\u4f5c\u8fc7\u7a0b\u4e95\u7136\u6709\u5e8f\uff0c\u79f0\u4e3a\u6709\u5e8f\u5408\u4f5c\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u5bf9\u6297\u578b\u4e92\u52a8:<\/strong>\u667a\u80fd\u4ee3\u7406\u4ee5\u4e00\u79cd\u9488\u950b\u76f8\u5bf9\uff08tit for tat\uff09\u7684\u65b9\u5f0f\u8fdb\u884c\u4e92\u52a8\u3002\u901a\u8fc7\u7ade\u4e89\u3001\u8c08\u5224\u3001\u8fa9\u8bba\u7684\u5f62\u5f0f\uff0c\u4ee3\u7406\u629b\u5f03\u539f\u5148\u53ef\u80fd\u9519\u8bef\u7684\u4fe1\u5ff5\uff0c\u5bf9\u81ea\u5df1\u7684\u884c\u4e3a\u6216\u8005\u63a8\u7406\u8fc7\u7a0b\u8fdb\u884c\u6709\u610f\u4e49\u7684\u53cd\u601d\uff0c\u6700\u7ec8\u5e26\u6765\u6574\u4e2a\u7cfb\u7edf\u54cd\u5e94\u8d28\u91cf\u7684\u63d0\u5347\u3002<\/p>\n<p><strong>\u4eba\u673a\u4ea4\u4e92\u573a\u666f<\/strong><\/p>\n<p>\u4eba\u673a\u4ea4\u4e92\uff08Human-Agent Interaction\uff09\uff0c\u987e\u540d\u601d\u4e49\uff0c\u662f\u667a\u80fd\u4ee3\u7406\u901a\u8fc7\u4e0e\u4eba\u7c7b\u4ea4\u4e92\uff0c\u5408\u4f5c\u5b8c\u6210\u4efb\u52a1\u3002\u4e00\u65b9\u9762\uff0c\u4ee3\u7406\u7684\u52a8\u6001\u5b66\u4e60\u80fd\u529b\u9700\u8981\u6c9f\u901a\u4ea4\u6d41\u6765\u652f\u6301;\u53e6\u4e00\u65b9\u9762\uff0c\u76ee\u524d\u7684\u4ee3\u7406\u7cfb\u7edf\u5728\u53ef\u89e3\u91ca\u6027\u4e0a\u7684\u8868\u73b0\u4f9d\u7136\u4e0d\u8db3\uff0c\u53ef\u80fd\u4f1a\u5b58\u5728\u5b89\u5168\u6027\u3001\u5408\u6cd5\u6027\u7b49\u65b9\u9762\u7684\u95ee\u9898\uff0c\u56e0\u6b64\u9700\u8981\u4eba\u7c7b\u53c2\u4e0e\u8fdb\u884c\u89c4\u8303\u4e0e\u76d1\u7763\u3002<\/p>\n<p>\u4f5c\u8005\u4eec\u5728\u8bba\u6587\u4e2d\u5c06 Human-Agent \u7684\u4ea4\u4e92\u5212\u5206\u4e3a\u4ee5\u4e0b\u4e24\u79cd\u6a21\u5f0f:<\/p>\n<p style=\"text-align:center\">\n<p>\u4eba\u673a\u4ea4\u4e92\u573a\u666f\u7684\u7684\u4e24\u79cd\u6a21\u5f0f:Instructor-Executor \u6a21\u5f0f vs. Equal Partnership \u6a21\u5f0f\u3002<\/p>\n<ul>\n<li>\n<p><strong>Instructor-Executor \u6a21\u5f0f<\/strong>:\u4eba\u7c7b\u4f5c\u4e3a\u6307\u5bfc\u8005\uff0c\u7ed9\u51fa\u6307\u4ee4\u3001\u53cd\u9988\u610f\u89c1;\u800c\u4ee3\u7406\u4f5c\u4e3a\u6267\u884c\u8005\uff0c\u4f9d\u636e\u6307\u793a\u9010\u6b65\u8c03\u6574\u3001\u4f18\u5316\u3002\u8fd9\u79cd\u6a21\u5f0f\u5728\u6559\u80b2\u3001\u533b\u7597\u3001\u5546\u4e1a\u7b49\u9886\u57df\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<\/p>\n<\/li>\n<li>\n<p><strong>Equal Partnership \u6a21\u5f0f:<\/strong>\u6709\u7814\u7a76\u89c2\u5bdf\u5230\u4ee3\u7406\u80fd\u591f\u5728\u4e0e\u4eba\u7c7b\u7684\u4ea4\u6d41\u4e2d\u8868\u73b0\u51fa\u5171\u60c5\u80fd\u529b\uff0c\u6216\u662f\u4ee5\u5e73\u7b49\u7684\u8eab\u4efd\u53c2\u4e0e\u5230\u4efb\u52a1\u6267\u884c\u4e2d\u3002\u667a\u80fd\u4ee3\u7406\u5c55\u73b0\u51fa\u5728\u65e5\u5e38\u751f\u6d3b\u4e2d\u7684\u5e94\u7528\u6f5c\u529b\uff0c\u6709\u671b\u5728\u672a\u6765\u878d\u5165\u4eba\u7c7b\u793e\u4f1a\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>Agent \u793e\u4f1a:\u4ece\u4e2a\u6027\u5230\u793e\u4f1a\u6027<\/strong><\/p>\n<p>\u957f\u671f\u4ee5\u6765\uff0c\u7814\u7a76\u4eba\u5458\u4e00\u76f4\u61a7\u61ac\u7740\u6784\u5efa\u300c\u4ea4\u4e92\u5f0f\u7684\u4eba\u5de5\u793e\u4f1a\u300d\uff0c\u4ece\u6c99\u76d2\u6e38\u620f\u300a\u6a21\u62df\u4eba\u751f\u300b\u5230\u300c\u5143\u5b87\u5b99\u300d\uff0c\u4eba\u4eec\u5bf9\u6a21\u62df\u793e\u4f1a\u7684\u5b9a\u4e49\u53ef\u4ee5\u6982\u8ff0\u4e3a:\u73af\u5883 + \u73af\u5883\u4e2d\u751f\u5b58\u3001\u4e92\u52a8\u7684\u4e2a\u4f53\u3002<\/p>\n<p>\u5728\u6587\u7ae0\u4e2d\uff0c\u4f5c\u8005\u4eec\u7528\u4e00\u5f20\u56fe\u63cf\u8ff0\u4e86 Agent \u793e\u4f1a\u7684\u6982\u5ff5\u6846\u67b6:<\/p>\n<p style=\"text-align:center\">\n<p>\u4ee3\u7406\u793e\u4f1a\u7684\u6982\u5ff5\u6846\u67b6\uff0c\u5206\u4e3a\u4e24\u4e2a\u5173\u952e\u90e8\u5206:\u4ee3\u7406\u548c\u73af\u5883\u3002<\/p>\n<p>\u8be5\u6846\u67b6\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230:<\/p>\n<ol>\n<li>\n<p><strong>\u5de6\u4fa7\u90e8\u5206:<\/strong>\u5728\u4e2a\u4f53\u5c42\u9762\u4e0a\uff0c\u4ee3\u7406\u8868\u73b0\u51fa\u591a\u79cd\u5185\u5316\u884c\u4e3a\uff0c\u4f8b\u5982\u8ba1\u5212\u3001\u63a8\u7406\u548c\u53cd\u601d\u3002\u6b64\u5916\uff0c\u4ee3\u7406\u8fd8\u663e\u73b0\u51fa\u5185\u5728\u7684\u4eba\u683c\u7279\u5f81\uff0c\u6db5\u76d6\u8ba4\u77e5\u3001\u60c5\u611f\u548c\u6027\u683c\u4e09\u4e2a\u65b9\u9762\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4e2d\u95f4\u90e8\u5206:<\/strong>\u5355\u4e2a\u4ee3\u7406\u53ef\u4ee5\u4e0e\u5176\u4ed6\u4ee3\u7406\u4e2a\u4f53\u7ec4\u6210\u7fa4\u4f53\uff0c\u5171\u540c\u5c55\u73b0\u51fa\u5408\u4f5c\u7b49\u7fa4\u4f53\u884c\u4e3a\uff0c\u4f8b\u5982\u534f\u540c\u5408\u4f5c\u7b49\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53f3\u4fa7\u90e8\u5206:<\/strong>\u73af\u5883\u7684\u5f62\u5f0f\u53ef\u4ee5\u662f\u865a\u62df\u7684\u6c99\u76d2\u73af\u5883\uff0c\u4e5f\u53ef\u4ee5\u662f\u771f\u5b9e\u7684\u7269\u7406\u4e16\u754c\u3002\u73af\u5883\u4e2d\u7684\u8981\u7d20\u5305\u62ec\u4e86\u4eba\u7c7b\u53c2\u4e0e\u8005\u548c\u5404\u7c7b\u53ef\u7528\u8d44\u6e90\u3002\u5bf9\u4e8e\u5355\u4e2a\u4ee3\u7406\u800c\u8a00\uff0c\u5176\u4ed6\u4ee3\u7406\u4e5f\u5c5e\u4e8e\u73af\u5883\u7684\u4e00\u90e8\u5206\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6574\u4f53\u4e92\u52a8:<\/strong>\u4ee3\u7406\u4eec\u901a\u8fc7\u611f\u77e5\u5916\u754c\u73af\u5883\u3001\u91c7\u53d6\u884c\u52a8\uff0c\u79ef\u6781\u53c2\u4e0e\u6574\u4e2a\u4ea4\u4e92\u8fc7\u7a0b\u3002<\/p>\n<\/li>\n<\/ol>\n<p><strong>\u4ee3\u7406\u7684\u793e\u4f1a\u884c\u4e3a\u4e0e\u4eba\u683c<\/strong><\/p>\n<p>\u6587\u7ae0\u4ece\u5916\u5728\u884c\u4e3a\u548c\u5185\u5728\u4eba\u683c\u6765\u5ba1\u89c6\u4e86\u4ee3\u7406\u5728\u793e\u4f1a\u4e2d\u7684\u8868\u73b0:<\/p>\n<p><strong>\u793e\u4f1a\u884c\u4e3a:<\/strong>\u4ece\u793e\u4f1a\u7684\u89d2\u5ea6\u51fa\u53d1\uff0c\u53ef\u4ee5\u5c06\u884c\u4e3a\u5206\u4e3a\u4e2a\u4f53\u548c\u96c6\u4f53\u4e24\u4e2a\u5c42\u6b21:<\/p>\n<ul>\n<li>\n<p>\u4e2a\u4f53\u884c\u4e3a\u6784\u6210\u4e86\u4ee3\u7406\u81ea\u8eab\u8fd0\u4f5c\u548c\u53d1\u5c55\u7684\u57fa\u7840\u3002\u5305\u62ec\u4ee5\u611f\u77e5\u4e3a\u4ee3\u8868\u7684\u8f93\u5165\u3001\u884c\u52a8\u4e3a\u4ee3\u8868\u7684\u8f93\u51fa\uff0c\u4ee5\u53ca\u4ee3\u7406\u81ea\u8eab\u7684\u5185\u5316\u884c\u4e3a\u3002<\/p>\n<\/li>\n<li>\n<p>\u7fa4\u4f53\u884c\u4e3a\u662f\u6307\u4e24\u4e2a\u4ee5\u4e0a\u4ee3\u7406\u81ea\u53d1\u4ea4\u4e92\u65f6\u4ea7\u751f\u7684\u884c\u4e3a\u3002\u5305\u62ec\u4ee5\u534f\u4f5c\u4e3a\u4ee3\u8868\u7684\u79ef\u6781\u884c\u4e3a\u3001\u51b2\u7a81\u4e3a\u4ee3\u8868\u7684\u6d88\u6781\u884c\u4e3a\uff0c\u4ee5\u53ca\u4ece\u4f17\u3001\u65c1\u89c2\u7b49\u4e2d\u7acb\u884c\u4e3a\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u4eba\u683c:<\/strong>\u5305\u62ec\u8ba4\u77e5\u3001\u60c5\u611f\u548c\u6027\u683c\u3002\u5c31\u50cf\u4eba\u7c7b\u5728\u793e\u4f1a\u5316\u8fc7\u7a0b\u4e2d\u9010\u6e10\u5f62\u6210\u81ea\u5df1\u7684\u7279\u8d28\u4e00\u6837\uff0c\u4ee3\u7406\u4e5f\u5c55\u73b0\u4e86\u6240\u8c13\u7684 &quot;\u7c7b\u4eba\u667a\u80fd&quot;\uff0c\u5373\u901a\u8fc7\u4e0e\u7fa4\u4f53\u548c\u73af\u5883\u7684\u4e92\u52a8\u4e2d\u9010\u6e10\u5851\u9020\u4eba\u683c\u3002<\/p>\n<ul>\n<li>\n<p>\u8ba4\u77e5\uff08Cognitive abilities\uff09:\u6db5\u76d6\u4e86\u4ee3\u7406\u83b7\u53d6\u548c\u7406\u89e3\u77e5\u8bc6\u7684\u8fc7\u7a0b\uff0c\u7814\u7a76\u8868\u660e\uff0c\u57fa\u4e8e LLM \u7684\u4ee3\u7406\u5728\u67d0\u4e9b\u65b9\u9762\u80fd\u591f\u8868\u73b0\u51fa\u7c7b\u4f3c\u4e8e\u4eba\u7c7b\u7684\u6df1\u601d\u719f\u8651\u548c\u667a\u529b\u6c34\u5e73\u3002<\/p>\n<\/li>\n<li>\n<p>\u60c5\u611f\uff08Emotional intelligence\uff09:\u6d89\u53ca\u4e3b\u89c2\u611f\u53d7\u548c\u60c5\u7eea\u72b6\u6001\uff0c\u5982\u559c\u6012\u54c0\u4e50\uff0c\u4ee5\u53ca\u8868\u73b0\u51fa\u540c\u60c5\u548c\u5171\u60c5\u7684\u80fd\u529b\u3002<\/p>\n<\/li>\n<li>\n<p>\u6027\u683c\uff08Character portrayal\uff09:\u4e3a\u4e86\u7406\u89e3\u548c\u5206\u6790 LLMs \u7684\u6027\u683c\u7279\u5f81\uff0c\u7814\u7a76\u4eba\u5458\u5229\u7528\u4e86\u6210\u719f\u7684\u8bc4\u6d4b\u65b9\u5f0f\uff0c\u5982\u5927\u4e94\u4eba\u683c\u3001MBTI \u6d4b\u8bd5\uff0c\u4ee5\u63a2\u7a76\u6027\u683c\u7684\u591a\u6837\u6027\u548c\u590d\u6742\u6027\u3002<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u6a21\u62df\u793e\u4f1a\u7684\u8fd0\u884c\u73af\u5883<\/strong><\/p>\n<p>\u4ee3\u7406\u793e\u4f1a\u4e0d\u4ec5\u7531\u72ec\u7acb\u7684\u4e2a\u4f53\u6784\u6210\uff0c\u8fd8\u5305\u62ec\u4e86\u4e0e\u5176\u4ea4\u4e92\u7684\u73af\u5883\u3002\u73af\u5883\u5bf9\u4ee3\u7406\u7684\u611f\u77e5\u3001\u884c\u52a8\u548c\u4e92\u52a8\u4ea7\u751f\u5f71\u54cd\u3002\u53cd\u8fc7\u6765\uff0c\u4ee3\u7406\u4e5f\u901a\u8fc7\u4ed6\u4eec\u7684\u884c\u4e3a\u548c\u51b3\u7b56\u4e5f\u6539\u53d8\u7740\u73af\u5883\u7684\u72b6\u6001\u3002\u5bf9\u4e8e\u5355\u4e2a\u4ee3\u7406\u800c\u8a00\uff0c\u73af\u5883\u5305\u62ec\u5176\u4ed6\u81ea\u4e3b\u4ee3\u7406\u3001\u4eba\u7c7b\u4ee5\u53ca\u53ef\u4f7f\u7528\u7684\u8d44\u6e90\u3002<\/p>\n<p>\u5728\u6b64\uff0c\u4f5c\u8005\u63a2\u8ba8\u4e86\u73af\u5883\u7684\u4e09\u79cd\u7c7b\u578b:<\/p>\n<p><strong>\u57fa\u4e8e\u6587\u672c\u7684\u73af\u5883:<\/strong>\u7531\u4e8e LLMs 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\u56fe\u5f62\u754c\u9762\u4e43\u81f3\u590d\u6742\u76843D 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Generative Agents \u5c0f\u9547\u4e3a\u5927\u5bb6\u63d0\u4f9b\u4e86\u751f\u52a8\u7684\u4f8b\u5b50 \u2014\u2014Agent 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Agents \u4f1a\u5e26\u6765\u54ea\u4e9b\u6311\u6218\u4e0e\u9690\u5fe7?<\/strong>\u667a\u80fd\u4ee3\u7406\u80fd\u5426\u771f\u6b63\u843d\u5730\uff0c\u9700\u8981\u7ecf\u8fc7\u4e25\u8c28\u7684\u5b89\u5168\u6027\u8bc4\u4f30\uff0c\u907f\u514d\u5bf9\u771f\u5b9e\u4e16\u754c\u5e26\u6765\u5371\u5bb3\u3002\u4f5c\u8005\u603b\u7ed3\u4e86\u66f4\u591a\u6f5c\u5728\u5a01\u80c1\uff0c\u4f8b\u5982:\u975e\u6cd5\u6ee5\u7528\u3001\u5931\u4e1a\u98ce\u9669\u3001\u5bf9\u4eba\u7c7b\u798f\u7949\u9020\u6210\u5f71\u54cd\u7b49\u7b49\u3002<\/p>\n<p><strong>\u4ee3\u7406\u6570\u91cf\u7684\u63d0\u5347\uff08scaling 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GPT-4\u4e3a\u4ee3\u8868\u7684\u5927\u6a21\u578b\u5df2\u7ecf\u5728\u8db3\u591f\u7684\u8bed\u6599\u4e0a\u8fdb\u884c\u4e86\u8bad\u7ec3\uff0c\u5728\u6b64\u57fa\u7840\u4e0a\u6784\u5efa\u7684\u4ee3\u7406\u6709\u6f5c\u529b\u6210\u4e3a\u6253\u5f00 AGI \u4e4b\u95e8\u7684\u94a5\u5319\u3002\u4f46\u4e5f\u6709\u5176\u4ed6\u7814\u7a76\u8005\u8ba4\u4e3a\uff0c\u81ea\u56de\u5f52\u8bed\u8a00\u5efa\u6a21\uff08Auto-regressive Language Modeling\uff09\u5e76\u4e0d\u80fd\u663e\u73b0\u51fa\u771f\u6b63\u7684\u667a\u80fd\uff0c\u56e0\u4e3a\u5b83\u4eec\u53ea\u662f\u4f5c\u51fa\u54cd\u5e94\u3002\u4e00\u4e2a\u66f4\u5b8c\u5907\u7684\u5efa\u6a21\u65b9\u5f0f\uff0c\u4f8b\u5982\u4e16\u754c\u6a21\u578b(World Model)\uff0c\u624d\u80fd\u901a\u5411 AGI\u3002<\/p>\n<p><strong>\u7fa4\u4f53\u667a\u80fd\u7684\u6f14\u5316\u5386\u7a0b\u3002\u7fa4\u4f53\u667a\u80fd\u662f\u4e00\u79cd\u96c6\u7ed3\u4f17\u4eba\u7684\u610f\u89c1\u8fdb\u800c\u8f6c\u5316\u4e3a\u51b3\u7b56\u7684\u8fc7\u7a0b\u3002<\/strong>\u7136\u800c\uff0c\u4e00\u5473\u901a\u8fc7\u589e\u52a0\u4ee3\u7406\u7684\u6570\u91cf\uff0c\u662f\u5426\u4f1a\u4ea7\u751f\u771f\u6b63\u7684\u300c\u667a\u80fd\u300d?\u6b64\u5916\uff0c\u5982\u4f55\u534f\u8c03\u5355\u4e2a\u4ee3\u7406\uff0c\u8ba9\u667a\u80fd\u4ee3\u7406\u793e\u4f1a\u514b\u670d\u300c\u56e2\u4f53\u8ff7\u601d\u300d\u548c\u4e2a\u4eba\u8ba4\u77e5\u504f\u5dee?<\/p>\n<p><strong>\u4ee3\u7406\u5373\u670d\u52a1\uff08Agent as a Service\uff0cAaaS\uff09\u3002<\/strong>\u7531\u4e8e LLM-based Agents 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