{"id":407,"date":"2023-04-18T21:44:57","date_gmt":"2023-04-18T13:44:57","guid":{"rendered":"http:\/\/blog.cyasylum.top\/?p=407"},"modified":"2023-11-05T16:20:19","modified_gmt":"2023-11-05T08:20:19","slug":"from-ai-to-smart-system-from-llms-to-aigents-z12nswb","status":"publish","type":"post","link":"http:\/\/blog.cyasylum.top\/index.php\/2023\/04\/18\/from-ai-to-smart-system-from-llms-to-aigents-z12nswb\/","title":{"rendered":"\u4ece AI \u5230 \u667a\u80fd\u7cfb\u7edf \u2014\u2014 \u4ece LLMs \u5230 Agents"},"content":{"rendered":"<h1>\u4ece AI \u5230 \u667a\u80fd\u7cfb\u7edf \u2014\u2014 \u4ece LLMs \u5230 Agents<\/h1>\n<p>\u5148\u58f0\u593a\u4eba\uff1aAI \u65f6\u4ee3\u6700\u5927\u7684\u9677\u9631\uff0c\u5c31\u662f\u76f2\u76ee\u8003\u5bdf AI \u80fd\u4e3a\u6211\u4eec\u505a\u4ec0\u4e48\uff0c\u800c\u4e0d\u53bb\u8003\u8651\u6211\u4eec\u80fd\u4e3a AI \u63d0\u4f9b\u4ec0\u4e48<\/p>\n<\/p>\n<p>\u200d<\/p>\n<p>\uff08\u987a\u4fbf\uff0c\u5982\u679c\u8fd9\u7bc7\u7684\u9605\u8bfb\u4f53\u9a8c\u6709\u70b9\u4e00\u8def\u504f\u9898\uff0c\u8bf7\u4e0d\u8981\u89c1\u602a\uff0c\u56e0\u4e3a\u6211\u4e5f\u88ab\u8fd9\u4e24\u5468\u7684\u65b0\u5de5\u4f5c\u4e00\u8def\u88ab\u5e26\u7740\u8dd1\uff09<\/p>\n<p>\uff08\u800c\u8fd9\u4e5f\u5bfc\u81f4\u4e86\u5f88\u591a\u4ece\u6700\u5f00\u59cb\u5c31\u57cb\u597d\u60f3\u6316\u51fa\u6765\u7684\u4e1c\u897f\u6700\u540e\u61d2\u5f97\u6316\u4e86\uff0c\u4e00\u8def\u5f00\u6446\uff09<\/p>\n<p>\uff08\u6240\u4ee5\u552f\u4e00\u6709\u53c2\u8003\u4ef7\u503c\u7684\u601d\u8def\u4e3b\u5e72\u5c31\u662f\u4e0b\u9762\u8fd9\u6761\u603b\u7ed3\uff09<\/p>\n<p>\u8be5\u6587\u7ae0\u4e3b\u8981\u5206\u4e3a\u51e0\u4e2a\u90e8\u5206\uff1a<\/p>\n<ul>\n<li>\u5f15\u8a00\uff1a\u8ba8\u8bba\u5f53\u524d\u57fa\u4e8e AI \u6784\u5efa\u5de5\u7a0b\u7684\u80cc\u666f\u75db\u70b9\uff0c\u8fde\u5e26\u7740\u8ba8\u8bba AI \u667a\u80fd\u5982\u4f55\u533a\u522b\u4e8e\u4eba\u7c7b\uff0c\u4eba\u7c7b\u4ecd\u5e94\u5728\u751f\u4ea7\u4e2d\u53d1\u6325\u7684\u667a\u80fd\u5728\u4f55\u5904\u3002<\/li>\n<li>LLMs \u80fd\u529b\u8003\u5bdf\uff1a\u8ba8\u8bba\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u6d8c\u73b0\u7684\u4e00\u7cfb\u5217\u57fa\u672c\u80fd\u529b\uff0c\u5e76\u8ba8\u8bba\u57fa\u4e8e\u8fd9\u4e9b\u57fa\u672c\u80fd\u529b\u548c\u5de5\u7a0b\u5316\uff0c\u5927\u6a21\u578b\u80fd\u505a\u5230\u54ea\u4e00\u6b65<\/li>\n<li>Decomp \u65b9\u6cd5\u8bba\uff1a\u5c06\u5927\u8bed\u8a00\u6a21\u578b\u5fae\u5206\u5316\u4f7f\u7528\u7684\u65b9\u6cd5\u8bba\uff0c\u4ee5\u6b64\u5c55\u5f00\u5bf9\u5927\u8bed\u8a00\u6a21\u578b\u7684\u65b0\u8ba4\u77e5<\/li>\n<li>AI \u4f5c\u4e3a\u667a\u80fd\u7cfb\u7edf\uff1a\u7ed3\u5408 Generative Agents\u3001AutoGPT \u4e24\u9879\u5de5\u4f5c\u8ba8\u8bba\u5927\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u7684\u5c40\u9650\u6027\uff0c\u56f4\u7ed5\u4eba\u7c7b\u8ba4\u77e5\u6a21\u578b\u7684\u542f\u53d1\uff0c\u8ba8\u8bba\u901a\u8fc7\u6784\u5efa\u590d\u6742\u7cfb\u7edf\u4f7f\u5f97 LLMs Agent \u5316\u7684\u53ef\u80fd\u6027<\/li>\n<li>\u4e88\u667a\u80fd\u4ee5\u4fe1\u606f\uff1a\u8ba8\u8bba\u57fa\u4e8e LLMs \u6784\u5efa\u80fd\u591f\u5145\u5206\u5e2e\u52a9\u6211\u4eec\u63d0\u5347\u751f\u4ea7\u529b\u7684 AI \u5269\u4f59\u7684\u4e00\u5207\u75db\u70b9\u3002\u501f\u4ee5\u56de\u5230\u4e3b\u9898 \u2014\u2014 <strong>\u5728 AI \u65f6\u4ee3\uff0c\u6211\u4eec\u8981\u6253\u9020\u4ec0\u4e48\u6837\u7684\u751f\u4ea7\u548c\u4fe1\u606f\u7ba1\u7406\u65b0\u8303\u5f0f \u200b<\/strong>\uff08\u6709\u4e00\u8bf4\uff0c\u8fd8\u662f\u7a7a\u53e3\u65e0\u51ed\uff09<\/li>\n<\/ul>\n<p>\u603b\u4f53\u800c\u8a00\uff0c\u672c\u6587\u5305\u62ec\u5bf9 LLM \u9886\u57df\u6700\u65b0\u51e0\u9879\u5de5\u4f5c\uff08TaskMatrix\u3001HuggingGPT\u3001Generative Agents\u3001AutoGPT\uff09\u7684\u8ba8\u8bba\uff0c\u5e76\u57fa\u4e8e\u6b64\u8003\u5bdf\u4e00\u4e2a\u771f\u6b63\u53ef\u7528\u7684 AI \u4f1a\u4ee5\u4ec0\u4e48\u6837\u7684\u5f62\u6001\u51fa\u73b0\u5728\u6211\u4eec\u9762\u524d\u3002<\/p>\n<p>\u800c\u672c\u6587\u7684\u6838\u5fc3\u89c2\u70b9\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li>\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5b9e\u8d28\u662f\u4e00\u4e2a\u62e5\u6709\u667a\u80fd\u80fd\u529b\u7684\u8bed\u8a00\u8ba1\u7b97\u5668<\/li>\n<li>\u6211\u4eec\u4e0d\u8be5\u5c06\u5176\u5f53\u4f5c\u72ec\u7acb\u7684\u667a\u80fd\u4f53\u770b\u5f85\uff0c\u4f46\u80fd\u5728\u5176\u57fa\u7840\u4e0a\u901a\u8fc7\u6784\u5efa\u7cfb\u7edf\u521b\u5efa\u667a\u80fd Agent<\/li>\n<li>\u4e3a\u6b64\uff0c\u6211\u4eec\u9700\u8981\u901a\u8fc7\u4fe1\u606f\u5de5\u7a0b\uff0c\u8ba9 AI \u80fd\u591f\u771f\u6b63\u611f\u77e5\u548c\u6539\u9020\u4e16\u754c\uff0c\u4ece\u800c\u6539\u53d8\u6211\u4eec\u7684\u751f\u4ea7\u8fdb\u7a0b<\/li>\n<\/ul>\n<p>\u4ec5\u4f5c\u5c55\u671b\u3002<\/p>\n<p>\u200d<\/p>\n<h1>\u5f15\u8a00<\/h1>\n<p>\u5728\u5f00\u542f\u6b63\u5f0f\u8ba8\u8bba\u4e4b\u524d\uff0c\u6211\u4eec\u5e0c\u671b\u4ece\u4e24\u4e2a\u89d2\u5ea6\u5206\u522b\u5bf9 AI \u8fdb\u884c\u8ba8\u8bba\uff0c\u4ece\u800c\u5939\u903c\u51fa\u6211\u4eec \u4ece AI \u5230\u667a\u80fd\u7cfb\u7edf \u7684\u4e3b\u9898<\/p>\n<ul>\n<li>\u5f62\u800c\u4e0a\uff1a\u6211\u4eec\u5c1d\u8bd5\u8ba8\u8bba AI \u667a\u80fd\u7684\u5f62\u6001\uff0c\u8fdb\u800c\u53d1\u73b0 \u4eba\u7c7b\u667a\u80fd \u7684\u4eae\u70b9<\/li>\n<li>\u5f62\u800c\u4e0b\uff1a\u6211\u4eec\u5c1d\u8bd5\u7ed9\u51fa AI \u4f7f\u7528\u7684\u6837\u4f8b\uff0c\u8fdb\u800c\u53d1\u6398 \u4eba\u5de5\u667a\u80fd \u7684\u75db\u70b9<\/li>\n<\/ul>\n<p>\u7ed3\u5408\u4e8c\u8005\uff0c\u6211\u4eec\u5f85\u89e3\u91ca\u4e00\u79cd\u901a\u8fc7\u4eba\u7c7b\u667a\u80fd\u5f15\u9886\u4eba\u5de5\u667a\u80fd\u8de8\u8d8a\u75db\u70b9\u7684\u53ef\u80fd\u6027<\/p>\n<blockquote>\n<p>\u5f62\u800c\u4e0a\u8005\u8c13\u4e4b\u9053\uff0c\u5f62\u800c\u4e0b\u8005\u8c13\u4e4b\u5668\uff1b<\/p>\n<p>\u5316\u800c\u88c1\u4e4b\u8c13\u4e4b\u53d8\uff0c\u63a8\u800c\u884c\u4e4b\u8c13\u4e4b\u901a\uff0c<\/p>\n<p>\u4e3e\u800c\u63aa\u4e4b\u5929\u4e0b\u4e4b\u6c11\uff0c\u8c13\u4e4b\u4e8b\u4e1a\u3002<\/p>\n<\/blockquote>\n<p>\u4ee5\u524d\u53ea\u77e5\u524d\u8fb9\u4e24\u53e5\uff0c\u73b0\u5728\u624d\u77e5\u7cbe\u9ad3\u5168\u5728\u540e\u8005<\/p>\n<p>\u200d<\/p>\n<h2>\u5f62\u800c\u4e0b\u8005\u5668\uff1aLLMs + DB \u7684\u4f7f\u7528\u6837\u4f8b<\/h2>\n<p>\u200d<\/p>\n<p>\uff08\u4e3a\u4e86\u4e0d\u8ba9\u8bdd\u9898\u4e00\u5f00\u573a\u5c31\u663e\u5f97\u90a3\u4e48\u65e0\u804a\uff0c\u6211\u4eec\u5148\u6765\u8c08\u70b9\u6709\u610f\u601d\u7684\u4f8b\u5b50\uff09<\/p>\n<p>\u524d\u4e9b\u65f6\u65e5\uff0c\u7b80\u5355\u5c1d\u8bd5\u6784\u5efa\u4e86\u4e00\u4e2a\u7b80\u6613\u7684\u539f\u578b\u5e94\u7528\uff0c\u901a\u8fc7 LLM \u7684\u6587\u672c\u4fe1\u606f\u6574\u5408\u80fd\u529b\u548c\u63a8\u7406\u80fd\u529b\uff0c\u5b9e\u73b0\u6587\u672c\u5230\u60c5\u611f\u8868\u73b0\u7684\u6620\u5c04\uff0c\u5e76\u4f9d\u6b64\u5b9e\u73b0\u4e86\u5bf9\u8bdd\u751f\u6210\u6d41\u6c34\u7ebf\u4e2d\uff0c\u52a8\u4f5c\u914d\u7f6e\u7684\u81ea\u52a8\u751f\u6210\u3002<\/p>\n<p>\u8be5\u5e94\u7528\u7684\u5de5\u7a0b\u6b65\u9aa4\u5206\u4e3a\u4ee5\u4e0b\u51e0\u6b65\uff1a<\/p>\n<ul>\n<li>\u57fa\u4e8e\u73b0\u6709\u4efb\u52a1\u6f14\u51fa\u52a8\u4f5c\u5e93\u548c\u52a8\u4f5c\u91c7\u7528\u6837\u4f8b\uff0c\u6784\u5efa\u4e00\u4e2a\u60c5\u611f\u8868\u8fbe\u7684\u5411\u91cf\u5316\u7d22\u5f15\u6570\u636e\u5e93<\/li>\n<li>\u5411 LLMs \u6784\u5efa\u8bf7\u6c42\uff0c\u901a\u8fc7\u5411\u5bf9\u8bdd\u6587\u672c\u4e2d\u6dfb\u52a0\u60c5\u611f\u52a8\u4f5c\u6807\u7b7e\u4e30\u5bcc\u5bf9\u8bdd\u8868\u73b0<\/li>\n<li>\u53ec\u56de\u586b\u5145\u5b8c\u6bd5\u540e\u7684\u5bf9\u8bdd\u6837\u672c\uff0c\u6b63\u5219\u5316\u6536\u96c6\u5bf9\u8bdd\u60c5\u611f\u6807\u7b7e\uff0c\u5e76\u5bf9\u6570\u636e\u5e93\u8fdb\u884c\u7d22\u5f15<\/li>\n<li>\u53ec\u56de\u6570\u636e\u5e93\u7d22\u5f15\uff0c\u9010\u53e5\u5b8c\u6210\u60c5\u611f\u52a8\u4f5c\u9009\u62e9\uff0c\u5e76\u53cd\u89e3\u6790\u81f3\u914d\u6863\u6587\u4ef6<\/li>\n<\/ul>\n<p>\u8fd9\u8fd8\u662f\u4e00\u4e2a\u6781\u7b80\u7684\u5de5\u7a0b\u539f\u578b\uff0c\u751a\u81f3 LLMs \u5728\u5176\u4e2d\u7684\u53c2\u4e0e\u6c34\u5206\u4f9d\u65e7\u5b58\u7591\uff0c\u4f46\u6211\u4e3b\u8981\u8fd8\u662f\u5e0c\u671b\u5176\u8d77\u5230\u4e00\u4e2a\u63d0\u9192\u4f5c\u7528\uff1a\u8fd9\u5f70\u663e\u4e86\u6240\u8c13\u201c\u4fe1\u606f\u201d\u5728\u5b9e\u9645\u5f00\u53d1\u3001\u4ee5\u53ca\u5728\u540e\u7eed\u5c06 AI \u5f15\u5165\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u7684\u91cd\u8981\u6027\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u6211\u4eec\u8981\u5982\u4f55\u5c06\u539f\u672c\u50a8\u5b58\u4e8e\u5927\u8111\u7684\u8de8\u6a21\u6001<strong>\u5f00\u53d1\u6570\u636e\u77e5\u8bc6\u5916\u5316\u5230\u4e00\u4e2a\u53ef\u8bfb\u7684\u6a21\u6001\u4e0a<\/strong>\u5e76\u6709\u6548\u6536\u96c6\u8d77\u6765\uff0c\u540c\u65f6\u8981\u5982\u4f55\u5c3d\u4e00\u5207\u53ef\u80fd<strong>\u8ba9 AI \u80fd\u5e2e\u52a9\u6211\u4eec\u6316\u6398\u6570\u636e\u4e2d\u8574\u542b\u7684\u4ef7\u503c<\/strong>\uff0c\u8fd9\u662f\u6700\u6838\u5fc3\u7684\u51fa\u53d1\u70b9\u3002<\/p>\n<p>\u800c\u4e0a\u9762\u8fd9\u4e00\u6b65\uff0c\u624d\u662f\u5e94\u5bf9 LLM \u7684\u5230\u6765\uff0c\u5728\u672a\u6765\u53ef\u671f\u5c42\u9762\u4e0a\u6700\u503c\u5f97\u5c55\u5f00\u8ba8\u8bba\u7684\u5185\u5bb9\u3002<\/p>\n<p>\uff08\u540e\u9762\u4f1a\u7ed9\u51fa\u66f4\u591a\u5173\u8054\u7684\u8ba8\u8bba\uff0c\u8fd9\u91cc\u5c31\u5148\u4e0d\u8d58\u53d9\u4e86\uff09<\/p>\n<p>\u200d<\/p>\n<h2>\u5f62\u800c\u4e0a\u8005\u9053\uff1a\u5bf9 LLM \u65e2\u6709\u667a\u80fd\u80fd\u529b\u53ca\u5176\u5c40\u9650\u6027\u7684\u8ba8\u8bba<\/h2>\n<p>\u200d<\/p>\n<p>\u8fd9\u4e00\u8282\u4e2d\uff0c\u60f3\u8ba8\u8bba\u4e00\u4e0b\u4eba\u5de5\u667a\u80fd\u4e0e\u4eba\u7c7b\u667a\u80fd\u7684\u78b0\u649e\uff08\uff09<\/p>\n<h3>\u4ece Plugins \u5230 AI \u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b<\/h3>\n<p>\u6b64\u76f8\u5173\u7684\u8ba8\u8bba\u662f\u5728 ChatGPT Plugins \u51fa\u73b0\u540e\u5c55\u5f00\u7684\uff1a<\/p>\n<p>ChatGPT Plugins \u5728\u4e24\u7bc7\u8bba\u6587\u4e24\u4e2a\u89d2\u5ea6\u7684\u57fa\u7840\u4e0a\uff0c\u5bf9 LLMs \u7684\u80fd\u529b\u7684\u80fd\u529b\u8fdb\u884c\u5ef6\u62d3<\/p>\n<ul>\n<li>ToolFormer\uff1a\u8ba9 AI \u5177\u6709\u4f7f\u7528\u5de5\u5177\u7684\u80fd\u529b<\/li>\n<li>Decomp\uff1a\u8ba9 AI \u80fd\u9010\u5c42\u5206\u89e3\u5e76\u5b8c\u6210\u4efb\u52a1<\/li>\n<\/ul>\n<p>\u6b64\u76f8\u5173\u7684\u80fd\u529b\uff0c\u5176\u5b9e\u5728\u5fae\u8f6f\u6700\u65b0\u7684\u4e00\u7bc7\u8bba\u6587 TaskMatrix.AI \u4e2d\u88ab\u8fdb\u4e00\u6b65\u9610\u8ff0\uff0c\u5176\u901a\u8fc7\u5de5\u7a0b\u6784\u5efa\u4e86 AI \u80fd\u81ea\u7531\u53d6\u7528 API \u89e3\u51b3\u95ee\u9898\u7684\u73af\u5883\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4e0a\u8ff0\u80fd\u529b\uff0c\u5728\u5b9e\u8d28\u4e0a\u8fdb\u4e00\u6b65\u5c06 AI \u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u4e0e\u4eba\u7c7b\u8fdb\u884c\u4e86\u5bf9\u9f50\uff1a\u4eba\u4eec\u901a\u8fc7\u95ee\u9898\u7684\u62c6\u89e3\u5c06\u4efb\u52a1\u8f6c\u5316\u4e3a\u81ea\u5df1\u80fd\u5904\u7406\u7684\u591a\u4e2a\u6b65\u9aa4\uff0c\u5e76\u901a\u8fc7\u5de5\u5177\u501f\u81ea\u5df1\u6240\u4e0d\u80fd\u53ca\u4e4b\u529b\uff0c\u5c06\u95ee\u9898\u5f7b\u5e95\u89e3\u51b3\u3002\u6b64\u4e8c\u8005\u65e0\u7591\u662f\u4eba\u7c7b\u89e3\u51b3\u95ee\u9898\u6700\u6838\u5fc3\u7684\u6b65\u9aa4\uff0c\u5373\u786e\u5b9a\u201c\u505a\u4ec0\u4e48\u201d\u548c\u201c\u600e\u4e48\u505a\u201d<\/p>\n<p>\u800c\u8fd9\u4e5f\u57fa\u672c\u5960\u5b9a\u4e86\u540e\u7eed\u9762\u5411 AI \u7684\u5de5\u4f5c\u6d41\uff0c\u5176\u57fa\u672c\u5c55\u5f00\u5f62\u6001\uff1a<\/p>\n<ul>\n<li>\u4e3a AI \u63d0\u4f9b\u63a5\u53e3\uff0c\u4e3a AI \u62d3\u5c55\u80fd\u529b<\/li>\n<li>\u5efa\u6a21\u81ea\u8eab\u95ee\u9898\uff0c\u4fc3\u8fdb\u6709\u6548\u751f\u6210<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<h3>\u4ece\u4eba\u5de5\u667a\u80fd\u5230\u4eba\u7c7b\u667a\u80fd<\/h3>\n<p>\u5728\u4e0a\u9762\u7684\u8bba\u65ad\u4e2d\uff0c\u6211\u4eec\u770b\u4f3c\u5df2\u7ecf\u5c06\u7edd\u5927\u591a\u6570\u667a\u80fd\u80fd\u529b\u51fa\u8ba9\u4e88 AI \u4e86\uff0c\u4f46\u6211\u8fd8\u60f3\u4ece\u53e6\u4e00\u89d2\u5ea6\u5bf9 AI \u4e0e\u4eba\u7c7b\u7684\u80fd\u529b\u8fdb\u884c\u5c55\u5f00<\/p>\n<p>\u6211\u4eec\u5c06\u8ba8\u8bba\u4e00\u4e0b\u4eba\u5de5\u667a\u80fd\u7684\u6a21\u578b\u57fa\u7840\u4e0e\u5176\u5386\u7a0b<\/p>\n<ul>\n<li>\u4eba\u5de5\u667a\u80fd\uff1aAI \u7684\u5143\u667a\u80fd\u80fd\u529b<\/li>\n<li>\u201c\u4eba\u5de5\u201d\u667a\u80fd\uff1a\u8f85\u4f50 AI \u5b9e\u73b0\u7684\u667a\u80fd<\/li>\n<li>\u4eba\u7c7b\u667a\u80fd\uff1a\u4e8e\u4eba\u7c7b\u72ec\u4e00\u65e0\u4e8c\u7684\u4e1c\u897f<\/li>\n<\/ul>\n<h4>AI \u667a\u80fd\u7684\u5f62\u6001<\/h4>\n<p>\u5927\u8bed\u8a00\u6a21\u578b\u7684\u539f\u59cb\u76ee\u7684\u662f\u5236\u9020\u4e00\u4e2a\u201c\u538b\u7f29\u5668\u201d\uff0c\u8bbe\u8ba1\u8005\u4eec\u5e0c\u671b\u4ed6\u80fd\u6709\u6548\u5730\u5b66\u4e60\u4e16\u754c\u4e0a\u6240\u6709\u4fe1\u606f\uff0c\u5e76\u5bf9\u5176\u8fdb\u884c\u901a\u7528\u7684\u538b\u7f29\u3002<\/p>\n<p>\u5728\u538b\u7f29\u7684\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u5e0c\u671b AI \u4e22\u6389\u4fe1\u606f\u8868\u5f81\uff0c\u5e76\u638c\u63e1\u77e5\u8bc6\u80cc\u540e\u7684\u667a\u80fd\u80fd\u529b\u4e0e\u63a8\u7406\u80fd\u529b\uff0c\u4ece\u800c\u4f7f\u5f97\u8be5\u201c\u538b\u7f29\u5668\u201d\u80fd\u5728\u6240\u6709\u7684\u57df\u4e0a\u901a\u7528\u3002<\/p>\n<p>\u8be5\u8bf4\u6cd5\u662f\u7565\u663e\u62bd\u8c61\u7684\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u7ed9\u51fa\u4e00\u4e2a\u7b80\u5355\u7684\u73b0\u5b9e\u4f8b\u5b50\u5bf9\u5176\u8fdb\u884c\u63cf\u6479\uff1a<\/p>\n<blockquote>\n<p>\u201c\u4eba\u603b\u662f\u8981\u6b7b\u7684\uff0c\u82cf\u683c\u62c9\u5e95\u4e5f\u662f\u4eba\uff0c\u6240\u4ee5\u82cf\u683c\u62c9\u5e95\u662f\u8981\u6b7b\u7684\u201d<\/p>\n<p>\u8fd9\u662f\u4e00\u4e2a\u7ecf\u5178\u82cf\u683c\u62c9\u5e95\u5f0f\u7684\u4e09\u6bb5\u8bba\uff0c\u5176\u4e2d\u8574\u542b\u7740\u4eba\u7c7b\u5bf9\u4e8e\u6f14\u7ece\u63a8\u7406\u80fd\u529b\u7684\u667a\u6167\u3002<\/p>\n<p>\u5047\u8bbe\u4e0a\u9762\u7684\u6837\u672c\u662f LLM \u65e2\u6709\u5b66\u4e60\u7684\uff0c\u800c\u8fd9\u65f6\u6765\u4e86\u4e00\u4e2a\u65b0\u7684\u6837\u672c\uff1a<\/p>\n<p>\u201c\u4eba\u4e0d\u5403\u996d\u4f1a\u88ab\u997f\u6b7b\uff0c\u6211\u662f\u4eba\uff0c\u6240\u4ee5\u6211\u4e5f\u662f\u8981\u6070\u996d\u7684\u561b\u201d<\/p>\n<p>\u90a3\u4e48\u5bf9\u4e8e\u4e00\u4e2a\u7406\u60f3\u7684\u667a\u80fd\u538b\u7f29\u5668\u800c\u8a00\uff0c\u5176\u53ef\u80fd\u53d1\u73b0\u65b0\u53e5\u4e0e\u65e7\u53e5\u4e4b\u95f4\u7684\u5173\u8054\uff0c\u5e76\u6709\u6548\u5b66\u4e60\u5230\u4e86\u53e5\u5b50\u7684\u8868\u5f81\u5f62\u5f0f\u53ca\u5176\u80cc\u540e\u7684\u903b\u8f91<\/p>\n<div class=\"language-math\">S1 = &lt;(\u4eba, \u82cf\u683c\u62c9\u5e95, \u6b7b), \u4e09\u6bb5\u5f0f\u63a8\u7406&gt;<\/p>\n<p>\\\\<br \/>\nS2 = &lt;(\u4eba, \u6211, \u6070\u996d), \u4e09\u6bb5\u5f0f\u63a8\u7406&gt;<\/p><\/div>\n<p>\u800c\u968f\u540e\uff0c\u538b\u7f29\u5668\u4f1a\u503e\u5411\u4e8e\u50a8\u5b58\u4e09\u6bb5\u5f0f\u63a8\u7406\u8fd9\u4e00\u667a\u80fd\u7ed3\u6784\uff0c\u5e76\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u4e22\u5f03\u540e\u6765\u7684\uff08\u4eba\uff0c\u6211\uff0c\u6070\u996d\uff09\u8fd9\u4e00\u5b9e\u4f53\u5173\u7cfb\u7ec4\uff0c\u4ec5\u7b80\u5355\u5efa\u6a21\u5176\u95f4\u8054\u7cfb\uff0c\u5e76\u5728\u751f\u6210\u65f6\u6309\u9700\u8c03\u6574\u9884\u6d4b\u6743\u91cd\u3002<\/p>\n<\/blockquote>\n<p>\u6362\u8a00\u4e4b\uff0c\u5bf9 LLMs \u800c\u8a00\uff0c\u5176\u5bf9\u201c\u667a\u80fd\u201d\u7684\u654f\u611f\u6027\u8981\u8fdc\u9ad8\u4e8e\u201c\u4fe1\u606f\u201d<\/p>\n<p>\u800c\u8fd9\u4e5f\u5e26\u6765\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3\u7684\u4e00\u4e9b\u8981\u70b9\uff0c\u901a\u5e38\u5bf9 LLM \u800c\u8a00\uff0c\u8d8a\u662f\u5e95\u5c42\u7684\u8bad\u7ec3\u8d8a\u5bb9\u6613\u6df7\u5165\u5e76\u7ed9\u4e88 LLM\u201c\u4fe1\u606f\u8868\u5f81\u201d\uff0c\u800c\u8d8a\u662f\u9ad8\u5c42\u7684\u8bad\u7ec3\uff0c\u8d8a\u503e\u5411\u4e8e\u8ba9 LLM \u638c\u63e1\u65b0\u7684\u201c\u667a\u80fd\u6a21\u5f0f\u201d<\/p>\n<p>\u200d<\/p>\n<p>\u57fa\u4e8e\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u80fd\u5bf9 LLM \u7684\u667a\u80fd\u80fd\u529b\u51fa\u53d1\u70b9\u8fdb\u884c\u7b80\u8981\u63a8\u65ad\uff1a<\/p>\n<p>LLM \u7684\u5b9e\u8d28\u4e0a\u8fd8\u662f\u901a\u8fc7\u201c\u8bed\u8a00\u7ed3\u6784\u201d\u5bf9\u201c\u5916\u663e\u4eba\u7c7b\u667a\u80fd\u201d\u8fdb\u884c\u638c\u63e1\uff0c\u4e5f\u6b63\u662f\u76f8\u5e94\u7684\uff0c\u5f15\u5165\u4e86\u4e00\u7cfb\u5217\u95ee\u9898<\/p>\n<ul>\n<li>AI \u504f\u597d\u5b66\u4e60\u667a\u80fd\uff0c\u5374<strong>\u4e0d\u80fd\u5f88\u597d\u7684\u5b66\u4e60\u201c\u4fe1\u606f\u578b\u77e5\u8bc6\u201d<\/strong><\/li>\n<li>AI \u53ea\u80fd\u638c\u63e1\u57fa\u4e8e\u8bed\u8a00\u6a21\u6001\u7b49<strong>\u53ef\u5916\u663e\u8868\u5f81\u6a21\u6001\u4e0b\u7684\u667a\u80fd<\/strong><\/li>\n<\/ul>\n<p>\u8fdb\u4e00\u6b65\u7684\uff0c\u53d7\u9650\u4e8e\u81ea\u56de\u5f52\u89e3\u7801\u5668\u7ed3\u6784\u7684\u9650\u5236\uff0cAI \u53ea\u80fd\u7ebf\u6027\u5730\u56de\u5f52\u6587\u672c\u5e8f\u5217\uff0c\u800c<strong>\u65e0\u6cd5\u6784\u5efa\u81ea\u53cd\u9988<\/strong>\u3002<\/p>\n<p>\u800c\u4e5f\u6b63\u662f\u8fd9\u4e9b\u56fa\u6709\u7f3a\u9677\uff0c\u4e3a\u4eba\u7c7b\u7684\u81ea\u6211\u5b9a\u4f4d\u548c\u8fdb\u4e00\u6b65\u5229\u7528 AI \u627e\u5230\u4e86\u7acb\u8db3\u70b9\u3002<\/p>\n<p>\u200d<\/p>\n<h4>\u8d4b\u80fd AI \u5b9e\u73b0\u667a\u80fd<\/h4>\n<p>\u4f5c\u4e3a\u4e0a\u9762\u4e00\u70b9\u7684\u884d\u751f\uff0c\u6211\u4eec\u53ef\u4ee5\u4ece\u5927\u4f53\u4e24\u4e2a\u89d2\u5ea6\u53bb\u8f85\u52a9 AI \u667a\u80fd\u7684\u5b9e\u73b0\uff1a<\/p>\n<ul>\n<li>\n<p>\u8865\u5168 AI \u7684\u667a\u80fd\u80fd\u529b<\/p>\n<ul>\n<li>\n<p>\u901a\u8fc7 Prompt Engineering \u6fc0\u53d1 AI \u65e2\u6709\u7684\u80fd\u529b<\/p>\n<\/li>\n<li>\n<p>\u901a\u8fc7\u542f\u53d1\u65b9\u6cd5\u6784\u5efa AI \u7684\u667a\u80fd\u94fe\u6761<\/p>\n<ul>\n<li>\n<p>\u5185\u9690\u542f\u53d1\uff1a\u901a\u8fc7\u590d\u6742 Prompt \u6307\u5bfc AI \u7406\u89e3\u5e76\u5b8c\u6210\u4efb\u52a1<\/p>\n<p>ICL \/ COT Prompt<\/p>\n<\/li>\n<li>\n<p>\u5916\u663e\u542f\u53d1\uff1a\u901a\u8fc7\u7a0b\u5e8f\u89c4\u8303\u5316 LLMs \u5b8c\u6210\u4efb\u52a1\u6240\u9700\u6d41\u7a0b<\/p>\n<p>ChatGPT Plugins \/ LangChain<\/p>\n<\/li>\n<li>\n<p>\u7ed3\u6784\u542f\u53d1\uff1a\u901a\u8fc7\u6784\u5efa\u5de5\u7a0b\u7ed3\u6784\u652f\u6301 AI \u81ea\u8fed\u4ee3\u5206\u89e3\u5e76\u89e3\u51b3\u95ee\u9898<\/p>\n<p>Decomp \/ TaskMatrix.AI \/ Hugging GPT<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u9644\u52a0 AI \u7684\u4fe1\u606f\u80fd\u529b<\/p>\n<ul>\n<li>\u901a\u8fc7\u77e5\u8bc6\u5de5\u7a0b\u548c\u8fed\u4ee3\u8c03\u7528\u7b49\u65b9\u6cd5\uff0c\u4e3a AI \u6784\u9020\u201c\u8bb0\u5fc6\u5bab\u6bbf\u201d<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<h4>\u53cd\u601d\u4eba\u7c7b\u667a\u80fd<\/h4>\n<p>\u4f5c\u4e3a\u4eba\u7c7b\u800c\u8a00\uff0c\u6211\u4eec\u6240\u62e5\u6709\u7684\u667a\u80fd\u80fd\u529b\u663e\u7136\u4e5f\u4e0d\u662f\u80fd\u88ab AI \u6240\u8986\u76d6\u7684<\/p>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u662f\u201c\u80fd\u52a8\u201d\u4e0e\u201c\u4f53\u9a8c\u201d\u529f\u80fd\u90fd\u8131\u79bb\u4e8e\u6211\u4eec\u72ed\u4e49\u7684\u667a\u80fd\u800c\u5b58\u5728\uff0c\u800c\u6b63\u662f\u8fd9\u4e9b\u8981\u7d20\u8d4b\u4e88\u4e86\u6211\u4eec\u201c\u4e3b\u4f53\u6027\u201d<\/p>\n<p>\u5176\u6b21\uff0c\u4e5f\u6b63\u662f\u8fd9\u4e9b\u6210\u5206\u8131\u79bb\u4e8e\u8bed\u8a00\u548c\u8868\u8fbe\u800c\u5b58\u5728\uff0c\u4f7f\u4ed6\u4eec\u6210\u4e3a\u65e0\u6cd5\u88ab\u663e\u5f0f\u5b66\u4e60\u7684\u8981\u7d20<\/p>\n<ul>\n<li>AI \u4e0d\u5177\u5907\u6df1\u5c42\u52a8\u673a\uff0c\u5b83\u6709\u7684\u53ea\u662f\u88ab\u8bed\u8a00\u6240\u63cf\u8ff0\u7684\u76ee\u6807<\/li>\n<li>AI \u4e0d\u5177\u5907\u4f53\u9a8c\u80fd\u529b\uff0c\u56e0\u6b64\u5b83\u7684\u521b\u4f5c\u662f\u65e0\u53cd\u9988\u65e0\u8fed\u4ee3\u7684<\/li>\n<\/ul>\n<p>\u4f46\u662f\uff0c\u76f8\u5e94\u7684\uff0c\u4e0d\u6d89\u53ca\u4e0a\u8ff0\u5185\u5bb9\u7684\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5728\u53ef\u9884\u89c1\u7684\u5c06\u6765\uff0c\u4f1a\u7531 AI \u5168\u9762\u53c2\u4e0e\u3002<\/p>\n<p>\u800c\u6211\u4eec\u4e3a\u4e86\u4e0d\u88ab\u65f6\u4ee3\u6dd8\u6c70\uff0c\u8981\u66f4\u52a0\u79ef\u6781\u4e3b\u52a8\u5730\u5c06 AI \u5f15\u8fdb\u6765\u3002<\/p>\n<p>\u200d<\/p>\n<h2>\u5316\u800c\u88c1\u4e4b\uff0c\u63a8\u800c\u884c\u4e4b\uff1a\u56de\u5230\u6211\u4eec\u7684\u4e3b\u9898<\/h2>\n<p>\u56de\u987e\u4e00\u4e0b\u4e0a\u6587\uff0c\u6211\u4eec\u4ece\u5e94\u7528\u548c\u6982\u5ff5\u4e24\u4e2a\u89d2\u5ea6\u7b80\u8981\u8ba8\u8bba\u4e86 AI \u5f53\u524d\u7684\u4f7f\u7528\u60c5\u51b5\uff0c\u4ee5\u53ca\u8fd9\u4e9b\u5e94\u7528\u4f9d\u6258\u4e8e\u4ec0\u4e48<\/p>\n<ul>\n<li>\n<p>\u5e94\u7528<\/p>\n<ul>\n<li>\u901a\u8fc7 AI \u5b9e\u73b0\u4e86\u9ad8\u5ea6\u667a\u80fd\u5316\u7684\u5de5\u4f5c<\/li>\n<li>\u901a\u8fc7\u6574\u7406\u5f00\u53d1\u4fe1\u606f\u4f7f\u5f97\u94fe\u8def\u901a\u987a<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u6982\u5ff5<\/p>\n<ul>\n<li>\u6211\u4eec\u80fd\u901a\u8fc7\u5916\u529b\u5f15\u5bfc\u8d4b\u4e88 AI \u66f4\u5f3a\u7684\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b<\/li>\n<li>AI \u7684\u6838\u5fc3\u80fd\u529b\u662f\u901a\u7528\u667a\u80fd\u80fd\u529b\uff0c\u5bf9\u5de5\u4f5c\u60c5\u5883\u5df2\u9ad8\u5ea6\u53ef\u7528<\/li>\n<li>\u4eba\u7c7b\u80fd\u529b\u7684\u6838\u5fc3\u662f\u80fd\u52a8\u548c\u4f53\u9a8c\uff0c\u800c\u975e\u6d45\u663e\u7684\u667a\u80fd<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u5c55\u671b<\/p>\n<ul>\n<li>\u5982\u4f55\u66f4\u597d\u7684\u8d4b\u80fd AI<\/li>\n<li>\u5982\u4f55\u66f4\u597d\u7684\u9a7e\u9a6d AI<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<p>\u5728\u5520\u55d1\u4e86\u8fd9\u4e48\u591a\u4e4b\u540e\uff0c\u6211\u4eec\u7ec8\u4e8e\u80fd\u5f15\u5165\u4eca\u5929\u7684\u4e3b\u9898\u4e86\u3002<\/p>\n<p>\u7b80\u800c\u8a00\u4e4b\uff0c\u6211\u5e0c\u671b\u80fd\u8ffd\u968f\u7740 AI \u7684\u53d1\u5c55\uff0c\u8ba8\u8bba\u662f\u5426\u80fd\u6784\u5efa\u8fd9\u6837\u4e00\u4e2a\u901a\u7528\u7684 AI \u6846\u67b6\uff0c\u5e76\u5c06\u5176\u5f15\u5165\u5de5\u4f5c\u751f\u4ea7\u7684\u65b9\u65b9\u9762\u9762\u3002\u5e0c\u671b\u80fd\u8ba8\u8bba\u53ca\u5982\u4f55\u5bf9\u751f\u4ea7\u4fe1\u606f\u8fdb\u884c\u6709\u6548\u7684\u7ba1\u7406\uff0c\u4e5f\u5305\u62ec\u5982\u4f55\u8ba9\u6211\u4eec\u66f4\u597d\u8c03\u7528 AI\uff0c\u5982\u4f55\u8ba9 AI \u6ee1\u8db3\u6211\u4eec\u7684\u751f\u4ea7\u9700\u8981\u3002<\/p>\n<p>\u200d<\/p>\n<h1>LLMs\uff1a\u751f\u6210\u539f\u7406\u53ca\u80fd\u529b\u8003\u5bdf<\/h1>\n<p>\u200d<\/p>\n<p>\u76f8\u4fe1\u65e0\u8bba\u662f\u5426\u4e13\u4e1a\uff0c\u5404\u4f4d\u5bf9 LLMs \u7684\u751f\u6210\u539f\u7406\u90fd\u6709\u7740\u4e00\u5b9a\u7684\u8ba4\u77e5<\/p>\n<p>\u7b80\u5355\u6765\u8bf4\uff0c\u8fd9\u5c31\u662f\u4e00\u4e2a\u5355\u5b57\u63a5\u9f99\u6e38\u620f\uff0c\u901a\u8fc7\u81ea\u56de\u5f52\u5730\u9884\u6d4b\u201c\u4e0b\u4e00\u4e2a\u5b57\u201d\u3002\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u7684\u8bad\u7ec3\u4e2d\uff0cLLMs \u5b66\u4e60\u5230\u4e86\u77e5\u8bc6\u7ed3\u6784\uff0c\u4ee5\u53ca\u4e00\u7cfb\u5217\u66f4\u590d\u6742\u7684\u5e95\u5c42\u5173\u8054\uff0c\u6210\u4e3a\u4e86\u4e00\u79cd\u4eba\u7c7b\u65e0\u6cd5\u7406\u89e3\u7684\u667a\u80fd\u4f53\u3002<\/p>\n<p>\u200d<\/p>\n<h2>In-Context Learning \/ Chain of Thought<\/h2>\n<p>\u7ecf\u8fc7\u4eba\u4eec\u5bf9\u6a21\u578b\u80cc\u540e\u80fd\u529b\u7684\u4e0d\u61c8\u8003\u5bdf\uff0c\u53d1\u73b0\u4e86\u4e00\u7cfb\u5217\u4eae\u70b9\uff0c\u5176\u4e2d\u6700\u77a9\u76ee\u7684\u8fd8\u662f\u4e24\u70b9\uff1a<\/p>\n<p>ICL\uff08In-Context Learning\uff0c\u4e0a\u4e0b\u6587\u5b66\u4e60\uff09\u548c COT\uff08Chain of Thought\uff0c\u601d\u7ef4\u94fe\uff09<\/p>\n<p>\u53ef\u4ee5\u8bf4\uff0c\u7edd\u5927\u90e8\u5206\u5bf9\u4e8e\u4f7f\u7528 LLMs \u7684\u542f\u53d1\uff0c\u90fd\u6e90\u81ea\u8fd9\u4e24\u4e2a\u7279\u6027\uff0c\u7b80\u5355\u8bf4\u660e\u6b64\u4e8c\u8005\u7684\u8868\u73b0<\/p>\n<ul>\n<li>ICL\uff1a\u4e0a\u4e0b\u6587\u5b66\u4e60\u4f7f\u5f97\u6a21\u578b\u80fd\u4ece\u4e0a\u4e0b\u6587\u4e2d\u63d0\u4f9b\u7684\u6837\u4f8b\/\u4fe1\u606f\u4e2d\u5b66\u4e60\uff0c\u6709\u6548\u5f71\u54cd\u8f93\u51fa<\/li>\n<li>COT\uff1a\u5f53\u6a21\u578b\u5728\u8f93\u51fa\u8fc7\u7a0b\u4e2d\u5199\u51fa\u601d\u7ef4\u8fc7\u7a0b\u65f6\uff0c\u80fd\u5927\u5e45\u63d0\u5347\u8f93\u51fa\u6548\u679c<\/li>\n<\/ul>\n<p>\u867d\u7136\u5b66\u754c\u5bf9\u6b64\u6ca1\u6709\u592a\u5927\u7684\u5171\u8bc6\uff0c\u4f46\u5176\u539f\u7406\u65e0\u975e\u5728\u4e8e\u7ed9\u4e88 LLMs \u66f4\u7fd4\u5b9e\u7684\u4e0a\u4e0b\u6587\uff0c\u8ba9\u8f93\u51fa\u4e0e\u8f93\u5165\u6709\u7740\u66f4\u7d27\u5bc6\u7684\u5173\u8054\u4e0e\u60ef\u6027\u3002\uff08\u4ece\u67d0\u79cd\u610f\u4e49\u4e0a\u6765\u8bf4\uff0c\u4e5f\u53ef\u4ee5\u5c06\u5176\u8ba4\u4e3a\u662f\u4e00\u79cd\u56fe\u7075\u673a\u5f0f\u7684\u7f16\u7a0b\uff09<\/p>\n<blockquote>\n<p>ICL\uff1a<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145051.png\" alt=\"\u56fe\u7247 1\" \/>\u200b<\/p>\n<p>\u53ef\u4ee5\u7b80\u5355\u8ba4\u4e3a\uff0c\u901a\u8fc7 ICL Prompt\uff0c\u80fd\u5f3a\u5316\u4eba\u7c7b\u8f93\u5165\u5230\u673a\u5668\u8f93\u51fa\u7684\u8fde\u8d2f\u6027\uff0c\u501f\u4ee5\u63d0\u5347\u8f93\u51fa\u7684\u786e\u5b9a\u6027\u3002<\/p>\n<p>\u5728\u7ecf\u8fc7\u201c\u56de\u7b54\u201d\u7684 finetune \u4e4b\u524d\uff0c\u5927\u6a21\u578b\u7684\u539f\u59cb\u80fd\u529b\u5c31\u662f\u57fa\u4e8e\u7ed9\u5b9a\u6587\u672c\u8fdb\u884c\u63a5\u9f99\uff0c\u800c ICL \u7684\u5f15\u5165\u5219\u5728\u201c\u56de\u7b54\u201d\u8fd9\u4e00\u524d\u63d0\u6761\u4ef6\u4e0b\uff0c\u964d\u4f4e\u4e86\u673a\u5668\u5f00\u59cb\u63a5\u9f99\u8fd9\u4e00\u6b65\u9aa4\u4e2d\u7684\u8bed\u4e49\u8de8\u5ea6\uff0c\u4ece\u800c\u4f7f\u5f97\u8f93\u51fa\u66f4\u52a0\u53ef\u63a7\u3002<\/p>\n<p>COT\uff1a<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145149.png\" alt=\"\u56fe\u7247 3\" \/>\u200b<\/p>\n<p>\u540c\u6837\u53ef\u4ee5\u7b80\u5355\u8ba4\u4e3a\uff0c\u5728\u5f15\u5165 COT \u540e\uff0cAI \u80fd\u5c06\u4e00\u6b21\u5b8c\u6574\u7684\u8f93\u51fa\u770b\u4f5c\u4e24\u6b21\u5206\u79bb\u7684\u8f93\u51fa\u3002<\/p>\n<p>\u5bf9\u8fd9\u4e24\u6b21\u8f93\u51fa\u800c\u8a00\uff0c\u8f93\u5165\u8f93\u51fa\u4e4b\u95f4\u5747\u6709\u66f4\u9ad8\u7684\u5173\u8054\u5ea6\uff0c\u907f\u514d\u4e86\u957f\u7a0b\u7684\u62bd\u8c61\u63a8\u7406\u3002\u5bf9\u5e94\u77ed\u7a0b\u63a8\u7406\u7684\u8bef\u5dee\u76f8\u5bf9\u8f83\u5c0f\uff0c\u6700\u7ec8\u4f7f\u5f97\u79ef\u7d2f\u8bef\u5dee\u4e5f\u8981\u66f4\u5c0f\u3002<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u8fdb\u4e00\u6b65\u7684\uff0cICL \u7684\u53d1\u73b0\uff0c\u8ba9 LLMs \u80fd\u907f\u514d\u8fc7\u591a\u7684\u4f20\u7edf Finetune\uff0c\u8f7b\u6613\u5c06\u80fd\u529b\u8fd0\u7528\u5728\u5f53\u524d\u7684\u60c5\u666f\u4e2d\uff1bCOT \u7684\u53d1\u73b0\uff0c\u4f7f\u5f97\u901a\u8fc7 LLMs \u89e3\u51b3\u590d\u6742\u95ee\u9898\u6210\u4e3a\u53ef\u80fd\u3002\u6b64\u4e8c\u8005\u7684\u7ec4\u5408\uff0c\u4e3a LLMs \u7684\u901a\u7528\u80fd\u529b\u6253\u4e0b\u4e86\u57fa\u7840\u3002<\/p>\n<p>\u200d<\/p>\n<h2>TaskMatrix.AI<\/h2>\n<p>\u5fae\u8f6f\u5bf9 <a href=\"https:\/\/arxiv.org\/abs\/2303.16434\" target=\"_blank\"  rel=\"nofollow\" >TaskMatrix.AI<\/a> \u8fd9\u4e00\u9879\u76ee\u7684\u7814\u7a76\uff0c\u5f88\u5927\u7a0b\u5ea6\u4e0a\u5c55\u793a\u4e86 LLMs \u57fa\u4e8e ICL \u548c COT \u6240\u80fd\u5c55\u73b0\u7684\u80fd\u529b<\/p>\n<p>\uff08\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cTaskMatrix.AI \u66f4\u5927\u7a0b\u5ea6\u4e0a\u662f\u4e00\u4e2a\u613f\u666f\u5411\u7684\u8c03\u7814\u6848\u4f8b\uff0c\u5c1a\u672a\u6b63\u5f0f\u843d\u5730\u751f\u6001\uff09<\/p>\n<p>\u200d<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145237.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u8be5\u6587\u5c55\u73b0\u4e86\u4e00\u4e2a\u751f\u6001\u613f\u666f\uff0c\u5373\u5c06 LLMs \u4f5c\u4e3a\u7ec8\u7aef\uff0c\u6574\u5408\u8bf8\u591a API \u7684\u80fd\u529b\uff0c\u8ba9 AI \u8fd0\u7528\u5728\u751f\u6d3b\u4e2d\u7684\u65b9\u65b9\u9762\u9762\u3002<\/p>\n<p>\u7b80\u5355\u4ecb\u7ecd\u7684\u8bdd\uff0c\u8be5\u6846\u67b6\u4e3b\u8981\u5206\u4e3a\u56db\u4e2a\u6a21\u5757<\/p>\n<ul>\n<li>Multimodal Conversational Foundation Model\uff1a\u901a\u8fc7\u4e0e\u7528\u6237\u5bf9\u8bdd\u4e86\u89e3\u95ee\u9898\u60c5\u666f\uff0c\u5e76\u6309\u9700\u7ec4\u88c5 API \u5b9e\u73b0\u64cd\u4f5c\uff0c\u5e2e\u52a9\u7528\u6237\u89e3\u51b3\u95ee\u9898<\/li>\n<li>API Platform\uff1a\u6784\u5efa\u7edf\u4e00\u7684 API \u5236\u5f0f\uff0c\u50a8\u5b58\u548c\u7ba1\u7406\u5e73\u53f0\u5185\u4e0a\u6240\u6709 API \u53ca\u5176\u5173\u8054\u6587\u6863<\/li>\n<li>API Selector\uff1a\u6839\u636e MCFM \u5bf9\u7528\u6237\u95ee\u9898\u7684\u7406\u89e3\uff0c\u5411 MCFM \u9009\u62e9\u5e76\u63a8\u8350\u53ef\u7528 API<\/li>\n<li>API Executor\uff1a\u4ee3\u66ff MCFM \u6267\u884c API \u811a\u672c\uff0c\u5e76\u8fd4\u56de\u6267\u884c\u7ed3\u679c\u6216\u4e2d\u95f4\u4fe1\u606f<\/li>\n<\/ul>\n<p>\u57fa\u4e8e\u8fd9\u4e00\u6846\u67b6\uff0c\u5fae\u8f6f\u4e8e\u8bba\u6587\u4e2d\u5b9e\u73b0\u4e86\u8bf8\u5982\u56fe\u50cf\u7f16\u8f91\uff08\u57fa\u4e8e\u6211\u4eec\u6478\u4e0d\u5230\u7684 GPT4\uff09\u3001\u8bba\u6587\u5199\u4f5c\u3001PPT \u5236\u4f5c\u7b49\u5de5\u4f5c\u3002\u4e0d\u96be\u60f3\u8c61\uff0c\u5fae\u8f6f\u5373\u5c06\u63a8\u51fa\u7684 Office 365 Copilot \u4e5f\u662f\u57fa\u4e8e\u76f8\u5173\u6280\u672f\u53ca\u66f4\u6df1\u5c42\u7684 API \u5b9a\u5236\u5b9e\u73b0\u7684\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u800c\u4e0e\u6b64\u76f8\u5173\u7684\u5de5\u4f5c\u8fd8\u53ef\u4ee5\u5173\u6ce8 <a href=\"https:\/\/arxiv.org\/abs\/2303.17580\" target=\"_blank\"  rel=\"nofollow\" >HuggingGPT<\/a>\uff0c\u4e5f\u662f\u5fae\u8f6f\u540c\u671f\u53d1\u5e03\u7684\u8bba\u6587\uff0c\u8ba9 AI \u80fd\u81ea\u4e3b\u8c03\u7528 Hugging Face \u4e0a\u7684\u901a\u7528\u6a21\u578b\u63a5\u53e3\u89e3\u51b3 AI \u95ee\u9898\uff0c\u4ece\u800c\u5b9e\u73b0\u4e00\u79cd\u201cAGI\u201d\u6027\u80fd\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u6beb\u65e0\u7591\u95ee\uff0c\u6211\u4eec\u901a\u5e38\u4f1a\u8ba4\u4e3a\u8fd9\u79cd\u901a\u8fc7\u6784\u9020\u6846\u67b6\u6765\u5927\u5e45\u589e\u5f3a LLMs \u80fd\u529b\u7684\u53ef\u80fd\u6027\uff0c\u662f\u6784\u5efa\u5728\u65e2\u6709 ICL \u548c COT \u7684\u80fd\u529b\u4e4b\u4e0a\u7684\uff0c\u800c\u6211\u4f1a\u56f4\u7ed5\u6b64\u4e8c\u8005\u91cd\u65b0\u8fdb\u884c\u7b80\u5355\u5c55\u5f00<\/p>\n<p>\uff08\u5f53\u7136\uff0c\u786c\u8981\u8bf4\u7684\u8bdd\uff0c\u5bf9 ICL \u548c COT \u4e24\u79cd\u80fd\u529b\u90fd\u6709\u4e00\u4e2a\u72ed\u4e49\u4e0e\u5e7f\u4e49\u4e4b\u4e89\uff0c\u4f46\u8fd9\u4e0d\u91cd\u8981\uff0c\u56e0\u4e3a\u6211\u559c\u6b22\u5e7f\u4e49\uff09<\/p>\n<p>\u200d<\/p>\n<h3>ICL for TaskMatrix<\/h3>\n<blockquote>\n<p>\u72ed\u4e49\u7684 ICL\uff1a\u4ece\u8f93\u5165\u7684\u65e2\u6709\u6837\u4f8b\u4e2d\u5b66\u4e60\u5206\u5e03\u548c\u89c4\u8303<\/p>\n<p>\u5e7f\u4e49\u7684 ICL\uff1a\u6709\u6548\u7684\u5c06\u8f93\u5165\u5185\u5bb9\u6709\u6548\u8fd0\u7528\u5230\u8f93\u51fa\u4e2d<\/p>\n<\/blockquote>\n<p>\u4ee5 TaskMatrix \u4e3a\u4f8b\uff0c\u5728 API \u7ec4\u88c5\u9636\u6bb5\uff0c\u5176\u4e3a MCFM \u63d0\u4f9b\u7684 ICL \u5185\u5bb9\u5373\u4e3a API \u7684\u6587\u6863<\/p>\n<p>\u4ee5\u8bba\u6587\u4e3a\u4f8b\uff0c\u5176\u63d0\u4f9b\u7684\u6bcf\u4e2a API \u6587\u6863\u5206\u4e3a\u5982\u4e0b\u90e8\u5206<\/p>\n<ul>\n<li>API Name\uff1a\u7528\u4e8e\u63cf\u8ff0\u8be5 API \u540d\uff0c\u4ea6\u5373\u51fd\u6570\u7684\u8c03\u7528\u540d<\/li>\n<li>Parameter List\uff1a\u7528\u4e8e\u63cf\u8ff0 API \u4e2d\u7684\u53c2\u6570\u5217\u8868\uff0c\u4ecb\u7ecd\u6bcf\u4e2a\u53c2\u6570\u7684\u7279\u6027\u53ca\u8f93\u5165\u8f93\u51fa\u5185\u5bb9<\/li>\n<li>API Description\uff1aAPI \u63cf\u8ff0\uff0c\u7528\u4e8e\u63cf\u8ff0 API \u529f\u80fd\uff0c\u67e5\u627e API \u65f6\u7684\u6838\u5fc3\u4f9d\u636e<\/li>\n<li>Usage Example\uff1aAPI \u7684\u8c03\u7528\u65b9\u6cd5\u6837\u4f8b<\/li>\n<li>Composition Instruction\uff1aAPI \u7684\u4f7f\u7528\u8d34\u58eb\uff0c\u5982\u5e94\u8be5\u4e0e\u5176\u5b83\u4ec0\u4e48 API \u7ec4\u5408\u4f7f\u7528\uff0c\u662f\u5426\u9700\u8981\u624b\u52a8\u91ca\u653e\u7b49<\/li>\n<\/ul>\n<blockquote>\n<p>\u6837\u4f8b\uff1a\u6253\u5f00\u6587\u4ef6 API<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145623.png\" alt=\"image\" \/>\u200b<\/p>\n<\/blockquote>\n<p>\u57fa\u4e8e\u6b64\u7c7b\u6587\u6863\u5185\u5bb9\u548c ICL \u7684\u80fd\u529b\uff0cLLMs \u80fd\u4ece\u8f93\u5165\u4e2d\u4e60\u5f97\u8c03\u7528 API \u7684\u65b9\u6cd5\uff0c\u4f9d\u6b64\u5feb\u901f\u62d3\u5c55\u4e86\u5176\u6a2a\u5411\u80fd\u529b<\/p>\n<p>\u200d<\/p>\n<h3>COT for TaskMatrix<\/h3>\n<blockquote>\n<p>\u72ed\u4e49\u7684 COT\uff1a\u901a\u8fc7 Lets Think Step by Step \u8bf1\u5bfc LLMs \u751f\u6210\u6709\u6548\u7684\u89e3\u7b54\u4e2d\u95f4\u6b65\u9aa4\uff0c\u8f85\u52a9\u8f93\u51fa<\/p>\n<p>\u5e7f\u4e49\u7684 COT\uff1a\u901a\u8fc7 LLMs \u7684\u56fa\u6709\u80fd\u529b\u5bf9\u95ee\u9898\u8fdb\u884c\u62c6\u89e3\uff0c\u6784\u5efa\u89e3\u51b3\u95ee\u9898\u7684\u94fe\u6761<\/p>\n<\/blockquote>\n<p>\u901a\u8fc7\u6b64\u79cd\u6a21\u5f0f\uff0c\u80fd\u6781\u597d\u7684\u5c06\u95ee\u9898\u5206\u89e3\u81f3\u53ef\u88ab\u6267\u884c\u7684\u539f\u5b50\u5f62\u6001<\/p>\n<p>\u5728 TaskMatirx \u4e2d\uff0c\u901a\u8fc7\u8be5\u6a21\u5f0f\uff0c\u8ba9 MCFM \u5c06\u4efb\u52a1\u8f6c\u5316\u4e3a\u5f85\u529e\u5927\u7eb2\uff0c\u5e76\u6700\u7ec8\u56f4\u7ed5\u5927\u7eb2\u68c0\u7d22\u5e76\u7ec4\u5408 API\uff0c\u5b8c\u6210\u6574\u4f53\u5de5\u4f5c<\/p>\n<blockquote>\n<p>\u6837\u4f8b\uff1a\u5199\u8bba\u6587<\/p>\n<p>\u6784\u5efa\u5b8c\u6210\u5de5\u4f5c\u5927\u7eb2<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145093.png\" alt=\"image\" \/><\/p>\n<p>\u81ea\u52a8\u8c03\u7528\u63d2\u4ef6\u548c\u7ec4\u4ef6<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145237.png\" alt=\"image\" \/>\u200b<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<h2>\u521d\u6b65\u8003\u5bdf<\/h2>\n<p>\u57fa\u4e8e\u4e0a\u8ff0\u7684\u7b80\u5355\u4ecb\u7ecd\uff0c\u6211\u4eec\u5df2\u7ecf\u521d\u6b65\u8ba4\u8bc6\u4e86 AI \u5728\u5b9e\u9645\u60c5\u666f\u4e2d\u7684\u9ad8\u5ea6\u53ef\u7528\u6027<\/p>\n<p>\u800c\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u7ee7\u7eed\u4ece\u5de5\u7a0b\u7684\u89d2\u5ea6\u63ed\u793a\u8fd9\u79cd\u53ef\u7528\u6027\u7684\u6839\u6e90 \u2014\u2014 \u5176\u6e90\u81ea\u4e00\u9879\u901a\u7528\u7684 Prompt \u6280\u672f<\/p>\n<p>\u200d<\/p>\n<h1>Prompt Decomposition\uff1a\u65b9\u6cd5\u8bba<\/h1>\n<p>\u6211\u4eec\u53ef\u4ee5\u8ba4\u4e3a\uff0cTaskMatirx \u7684\u80fd\u529b\u6781\u5927\u7a0b\u5ea6\u4e0a\u4f9d\u6258\u4e8e Prompt Decomposition \u7684\u65b9\u6cd5<\/p>\n<p>\u800c\u8fd9\u5b9e\u8d28\u4e0a\u4e5f\u662f\u4e32\u8054 LLM \u80fd\u529b\u4e0e\u5b9e\u9645\u5de5\u7a0b\u9700\u6c42\u7684\u5fc5\u7ecf\u4e4b\u8def<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2210.02406\" target=\"_blank\"  rel=\"nofollow\" >[2210.02406] Decomposed Prompting: A Modular Approach for Solving Complex Tasks (arxiv.org)<\/a><\/p>\n<h2>\u539f\u59cb Decomp<\/h2>\n<p>Decomp \u7684\u6838\u5fc3\u601d\u60f3\u4e3a\u5c06\u590d\u6742\u95ee\u9898\u901a\u8fc7 Prompt \u6280\u5de7\uff0c\u5c06\u4e00\u4e2a\u590d\u6742\u7684\u95ee\u9898\u7531 LLMs \u81ea\u4e3b\u5212\u5206\u4e3a\u591a\u4e2a\u5b50\u4efb\u52a1\u3002\u968f\u540e\uff0c\u6211\u4eec\u901a\u8fc7 LLMs \u5b8c\u6210\u591a\u4e2a\u4efb\u52a1\uff0c\u5e76\u5c06\u8fc7\u7a0b\u4fe1\u606f\u6700\u7ec8\u7ec4\u5408\u5e76\u8f93\u51fa\u7406\u60f3\u7684\u6548\u679c<\/p>\n<p>[\u9762\u5411\u8bed\u8a00\u6a21\u578b\u7684 Prompt Engineering.pdf - p66 - Decomposed Prompting \u65b9\u6cd5](assets\/\u9762\u5411\u8bed\u8a00\u6a21\u578b\u7684 Prompt Engineering-20230331212935-ujn3rzx.pdf?p=66)<br \/>\n\u200b<img decoding=\"async\" src=\"undefined\" alt=\"\" title=\"Prompt\" \/>\u200b<\/p>\n<p>\u53c2\u8003\u539f\u59cb\u8bba\u6587\u4e2d\u9610\u8ff0\u7684\u65b9\u6848\uff0cDecomp \u65b9\u6cd5\u533a\u522b\u4e8e\u4f20\u7edf Prompt \u65b9\u6cd5\u5c31\u5728\u4e8e\uff0cDecomp \u4f1a\u6839\u636e\u5b9e\u9645\u95ee\u9898\u7684\u9700\u8981\uff0c\u5c06\u539f\u59cb\u95ee\u9898\u62c6\u89e3\u4e3a\u4e0d\u540c\u5f62\u5f0f\u7684 Sub-Task\uff0c\u5e76\u5728 Sub-Task \u4e2d\u7ec4\u5408\u4f7f\u7528\u591a\u79cd\u7b26\u5408\u60c5\u666f\u7684 Prompt \u65b9\u6cd5\u3002<\/p>\n<p>\u800c\u5bf9\u4e8e Decomp \u8fc7\u7a0b\uff0c\u5219\u53c8\u662f\u7531\u4e00\u4e2a\u539f\u59cb\u7684 Decomp Prompt \u9a71\u52a8<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145507.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u5728\u5b9e\u9645\u8fd0\u884c\u4e2d\uff0cDecomp \u8fc7\u7a0b\u7531\u4e00\u4e2a\u4efb\u52a1\u5206\u89e3\u5668\uff0c\u548c\u4e00\u7ec4\u7a0b\u5e8f\u89e3\u6790\u5668\u7ec4\u6210<\/p>\n<p>\u5176\u4e2d\u5206\u89e3\u5668\u4f5c\u4e3a\u8bed\u8a00\u4e2d\u67a2\uff0c\u9700\u8981\u88ab\u6388\u4e88\u5982\u4f55\u5206\u89e3\u590d\u6742\u4efb\u52a1 \u2014\u2014 \u5176\u5c06\u6839\u636e\u4e00\u4e2a\u95ee\u9898 Q \u6784\u5efa\u4e00\u4e2a\u5b8c\u6574\u7684\u63d0\u793a\u7a0b\u5e8f P \uff0c\u8fd9\u4e2a\u7a0b\u5e8f\u5305\u542b\u4e00\u7cfb\u5217\u7b80\u5355\u7684\u5b50\u95ee\u9898 Q_i\uff0c\u4ee5\u53ca\u7528\u4e8e\u5904\u7406\u8be5\u5b50\u95ee\u9898\u7684\u4e13\u7528\u51fd\u6570 f_i\uff08\u53ef\u4ee5\u901a\u8fc7\u7279\u5b9a\u5c0f\u578b LLM \u6216\u4e13\u7528\u7a0b\u5e8f\uff0c\u4e5f\u53ef\u4ee5\u4ee5\u66f4\u5c0f\u7684\u63d0\u793a\u7a0b\u5e8f P_i \u5f62\u5f0f\u5448\u73b0\uff09\u3002<\/p>\n<p>\u6a21\u578b\u5c06\u901a\u8fc7\u9012\u5f52\u8fd0\u884c\u5b8c\u6574\u7684\u63d0\u793a\u7a0b\u5e8f\uff0c\u6765\u83b7\u5f97\u7406\u60f3\u7684\u7b54\u6848\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u5728\u6784\u5efa Decomp \u6d41\u7a0b\u7684\u521d\u671f\uff0c\u5176\u4e3b\u8981\u662f\u4e3a\u4e86\u89e3\u51b3 LLMs \u65e0\u6cd5\u76f4\u63a5\u89e3\u51b3\u7684\u5177\u6709\u4e25\u5bc6\u903b\u8f91\u7684\u5de5\u4f5c\uff08\u6bd4\u65b9\u8bf4\u57fa\u4e8e\u6587\u672c\u4f4d\u7f6e\u7684\u6587\u5b57\u6e38\u620f\uff0c\u6bd4\u65b9\u8bf4\u68c0\u7d22\u4e00\u9996\u85cf\u5934\u8bd7\u7684\u5934\u662f\u5565\uff08\u5f53\u7136\u8fd9\u4e2a\u592a\u7b80\u5355\u4e86\uff09\uff0c\u5927\u6a21\u578b\u7684\u4f4d\u7f6e\u7f16\u7801\u7cfb\u7edf\u548c\u6982\u7387\u7cfb\u7edf\u8ba9\u5176\u5f88\u96be\u957f\u7a0b\u5904\u7406\u76f8\u5173\u5de5\u4f5c\uff09\uff0c\u6211\u4eec\u5e0c\u671b\u901a\u8fc7 Decomp \u65b9\u6cd5\uff0c\u5c06\u590d\u6742\u95ee\u9898\u9010\u6b65\u5f52\u7ea6\u56de LLMs \u80fd\u5904\u7406\u7684\u8303\u7574\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u6211\u4eec\u4e5f\u53ef\u4ee5\u8ba4\u4e3a\uff0c\u5728\u6bcf\u4e2a\u5b50\u4efb\u52a1\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7 Prompt \u5c06 LLMs \u7684\u80fd\u529b\u8fdb\u884c\u4e86\u52a3\u5316\uff0c\u4ece\u800c\u8ba9\u5176\u6210\u4e3a\u4e00\u4e2a\u4e13\u804c\u7684\u529f\u80fd\u96f6\u4ef6\u3002\u800c\u8fd9\u79cd\u5bf9\u5355\u4e2a LLMs \u80fd\u529b\u8ff7\u4fe1\u7684\u524a\u51cf\uff0c\u6b63\u5ef6\u4f38\u51fa\u4e86\u540e\u7eed\u7684\u53d1\u5c55\u8d8b\u52bf\u3002<\/p>\n<p>\u200d<\/p>\n<h2>Decomp \u884d\u751f<\/h2>\n<p>Decomp \u7684\u539f\u59cb\u529f\u80fd\u5b9e\u9645\u4e0a\u5e76\u4e0d\u503c\u5f97\u592a\u8fc7\u5173\u6ce8\uff0c\u4f46\u6211\u4eec\u6025\u9700\u8003\u8651\uff0c\u8be5\u65b9\u6cd5\u8fd8\u80fd\u7528\u4e8e\u5904\u7406\u4e9b\u4ec0\u4e48\u95ee\u9898\u3002<\/p>\n<p><strong>\u9012\u5f52\u8c03\u7528<\/strong><\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u6784\u5efa\u89c4\u5219\uff0c\u8ba9 Decomp \u65b9\u6cd5\u4e2d\u7684\u5206\u89e3\u5668\u9012\u5f52\u8c03\u7528\u81ea\u8eab\uff0c\u4ece\u800c\u4f7f\u5f97\u4e00\u4e2a\u53ef\u80fd\u56f0\u96be\u7684\u95ee\u9898\u65e0\u9650\u7ec6\u5206\uff0c\u5e76\u6700\u7ec8\u5f97\u4ee5\u89e3\u51b3<\/p>\n<p><strong>\u5916\u90e8\u8c03\u7528<\/strong><\/p>\n<p>\u901a\u8fc7\u95ee\u9898\u7684\u5206\u89e3\u548c\u901a\u8fc7\u201c\u4e13\u7528\u51fd\u6570\u201d\u7684\u6267\u884c\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u6613\u8ba9 LLMs \u5b9e\u73b0\u81ea\u8eab\u65e0\u6cd5\u505a\u5230\u7684\u8c03\u7528 API \u5de5\u4f5c\uff0c\u4f8b\u5982\u4e3b\u52a8\u4ece\u5916\u90e8\u68c0\u7d22\u83b7\u53d6\u56de\u7b54\u95ee\u9898\u6240\u9700\u8981\u7684\u77e5\u8bc6\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052145660.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u5982\u4e0a\u56fe\u4e3a LLMs \u5229\u7528 ElasticSearch \u5728\u56de\u7b54\u95ee\u9898\u8fc7\u7a0b\u4e2d\u8fdb\u884c\u68c0\u7d22<\/p>\n<p>\u200d<\/p>\n<p>\u57fa\u4e8e\u6b64\uff0c\u6211\u4eec\u8fd8\u5e0c\u671b\u8fdb\u4e00\u6b65\u7814\u7a76\u57fa\u4e8e\u8fd9\u4e9b\u673a\u5236\u80fd\u6574\u51fa\u4ec0\u4e48\u82b1\u6d3b\u513f\uff0c\u5e76\u80fd\u8ba8\u8bba\u5982\u4f55\u8fdb\u4e00\u6b65\u5229\u7528 LLMs \u7684\u80fd\u529b<\/p>\n<p>Continue Prompting \u7684\u5927\u95e8\u7531\u6b64\u5c55\u5f00<\/p>\n<p>\u200d<\/p>\n<h2>\u56de\u987e\uff1aHuggingGPT \u5bf9 Decomp \u65b9\u6cd5\u7684\u4f7f\u7528<\/h2>\n<p>HuggingGPT \u4e00\u6587\u4e5f\u8bb8\u5e76\u672a\u76f4\u63a5\u53c2\u8003 Decomp \u65b9\u6cd5\uff0c\u800c\u662f\u7528\u4e00\u4e9b\u66f4\u89c4\u8303\u7684\u624b\u6cd5\u5b8c\u6210\u8be5\u4efb\u52a1\uff0c\u4f46\u5176\u5145\u5206\u6d41\u6c34\u7ebf\u5316\u7684 Prompt \u5de5\u7a0b\u65e0\u7591\u662f Decomp \u65b9\u6cd5\u5728\u843d\u5730\u5b9e\u8df5\u4e0a\u7684\u6700\u4f73\u6ce8\u811a<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052152492.png\" alt=\"image\" \/>\u200b\u200b<\/p>\n<p>\u5982\u56fe\u6240\u793a\uff0c\u5728\u5b9e\u9645\u5de5\u7a0b\u4e2d\uff0c\u5bf9\u4e8e\u8fd9\u4e2a\u8c03\u7528 HuggingFace API \u7684\u201c\u901a\u7528\u4eba\u5de5\u667a\u80fd\u201d\u800c\u8a00\uff0c\u5176\u6240\u9700\u7684\u4efb\u52a1\u5e76\u4e0d\u590d\u6742\uff0c\u4ec5\u4ec5\u5206\u4e3a\u4e09\u6b65\uff08\u83b7\u53d6\u5e76\u8fd0\u884c\u7f1d\u5728\u4e00\u8d77\u4e86\uff09<\/p>\n<ul>\n<li>\u7406\u89e3\u5e76\u89c4\u5212\u89e3\u51b3\u95ee\u9898\u6240\u9700\u6b65\u9aa4<\/li>\n<li>\u9009\u62e9\u5e76\u8fd0\u884c\u89e3\u51b3\u95ee\u9898\u6240\u9700\u6a21\u578b<\/li>\n<li>\u57fa\u4e8e\u5b50\u95ee\u9898\u8f93\u51fa\u7ed3\u679c\u603b\u7ed3\u53cd\u9988<\/li>\n<\/ul>\n<p>\u540c\u6837\u7684\uff0cTaskMatrix.AI \u4e5f\u4f7f\u7528\u4e86\u76f8\u4f3c\u7684\u65b9\u6cd5\u548c\u6b65\u9aa4\u6765\u5b8c\u6210\u4efb\u52a1\uff0c\u6700\u65b0\u7684\u8fdb\u5c55\u9ad8\u5ea6\u660e\u6670\u4e86\u8be5\u6846\u67b6\u7684\u53ef\u7528\u6027\uff0c\u5e76\u4e3a\u6211\u4eec\u5982\u4f55\u6709\u6548\u4f7f\u7528 AI \u6765\u5b8c\u6210\u4e13\u7528\u4efb\u52a1\u63d0\u4f9b\u4e86\u6709\u6548\u7684\u6307\u5bfc\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f1a\u8ba8\u8bba\u4e00\u4e2a\u5f88\u65b0\u7684\uff0c\u5728\u4e3a Agent \u6a21\u62df\u4efb\u52a1\u6784\u5efa\u6846\u67b6\u4e0a\uff0c\u628a Decomp \u548c Prompting \u6280\u672f\u7528\u5230\u767b\u5cf0\u9020\u6781\u7684\u6837\u4f8b\u3002<\/p>\n<p>\u200d<\/p>\n<h1>Generative Agents\uff1a\u793e\u7fa4\u6a21\u62df\u5b9e\u9a8c<\/h1>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2304.03442\" target=\"_blank\"  rel=\"nofollow\" >[2304.03442] Generative Agents: Interactive Simulacra of Human Behavior (arxiv.org)<\/a><\/p>\n<p>Generative Agents \u4e00\u6587\u901a\u8fc7\u7684\u81ea\u7136\u8bed\u8a00\u6846\u67b6 AI \u6784\u5efa\u51fa\u4e86\u4e00\u4e2a\u6a21\u62df\u793e\u7fa4\uff0c\u4e00\u65b9\u9762\u6211\u4eec\u9707\u64bc\u4e8e\u4ee5 AI \u4e3a\u57fa\u7840\u7684\u793e\u7fa4\u590d\u6742\u7cfb\u7edf\u4e5f\u80fd\u6d8c\u73b0\u51fa\u5982\u6b64\u771f\u5b9e\u53ef\u4fe1\u7684\u8868\u73b0\uff0c\u53e6\u4e00\u65b9\u9762\u5219\u9700\u8981\u5173\u6ce8\u4ed6\u4eec\u901a\u8fc7 Prompt \u6280\u5de7\u548c\u5de5\u7a0b\u8bbe\u8ba1\uff0c\u4e3a AI \u6784\u5efa\u7684 <strong>\u611f\u77e5\u3001\u8bb0\u5fc6\u3001\u4ea4\u4e92<\/strong> \u5927\u6846\u67b6\u3002<\/p>\n<p>\u5176\u5728\u6781\u5927\u7a0b\u5ea6\u4e0a\u80fd\u4e3a\u6211\u4eec\u60f3\u5efa\u7acb\u7684\u5176\u5b83\u57fa\u4e8e AI \u7684\u5de5\u7a0b\u63d0\u4f9b\u53c2\u8003\u3002<\/p>\n<p>\u56e0\u4e3a\uff0c\u5176\u672c\u8d28\u662f\u4e00\u4e2a\u4fe1\u606f\u7ba1\u7406\u6846\u67b6\u7684\u5b9e\u9a8c\u3002<\/p>\n<h2>\u7b80\u8981\u4ecb\u7ecd<\/h2>\n<p>\u7b80\u5355\u4ecb\u7ecd\u8be5\u9879\u76ee\u6784\u5efa\u7684\u6846\u67b6\uff1a<\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u8ba4\u4e3a\u8be5\u5de5\u7a0b\u7531\u4e09\u4e2a\u6838\u5fc3\u90e8\u5206\u6784\u6210<\/p>\n<ul>\n<li>\u4e16\u754c\u4fe1\u606f\u7ba1\u7406<\/li>\n<li>\u89d2\u8272\u4fe1\u606f\u7ba1\u7406<\/li>\n<li>\u65f6\u95f4\u9a71\u52a8\u673a\u5236<\/li>\n<\/ul>\n<p>\u6211\u4eec\u53ef\u4ee5\u4ece\u5b8f\u89c2\u5230\u5fae\u89c2\u6e10\u8fdb\u8ba8\u8bba\u8be5\u8bfe\u9898\uff1a<\/p>\n<p>Generative Agents \u6784\u5efa\u4e86\u4e00\u5957\u6846\u67b6\uff0c\u8ba9 NPC \u53ef\u4ee5\u611f\u77e5\u88ab\u6a21\u5757\u5316\u7684\u4e16\u754c\u4fe1\u606f\u3002\u540c\u65f6\uff0c\u5bf9\u4e8e\u5168\u6e38\u620f\u7684\u6bcf\u4e2a\u65f6\u95f4\u6b65\uff0c\u8be5\u6846\u67b6\u9a71\u52a8 NPC \u81ea\u4e3b\u611f\u77e5\u4e16\u754c\u73af\u5883\u7684\u4fe1\u606f\u4e0e\u81ea\u8eab\u4fe1\u606f\uff0c\u5e76\u4f9d\u6b64\u51b3\u7b56\u81ea\u5df1\u60f3\u8981\u6267\u884c\u7684\u884c\u4e3a\u3002<\/p>\n<p>\u6839\u636e NPC \u7684\u51b3\u7b56\uff0cNPC \u80fd\u53cd\u5411\u66f4\u65b0\u81ea\u8eab\u6240\u4f7f\u7528\u7684\u8bb0\u5fc6\u6570\u636e\u5e93\uff0c\u5e76\u63d0\u70bc\u603b\u7ed3\u51fa\u9ad8\u5c42\u8bb0\u5fc6\u4f9b\u540e\u7eed\u4f7f\u7528\u3002<\/p>\n<p>\u200d<\/p>\n<h2>\u4e16\u754c\u6c99\u76d2\u7684\u6784\u5efa<\/h2>\n<p>\u76f8\u6bd4\u89d2\u8272\u4fe1\u606f\u7684\u6784\u5efa\u662f\u91cd\u5934\u620f\uff0c\u4e16\u754c\u6c99\u76d2\u7684\u6784\u5efa\u4f7f\u7528\u7684\u65b9\u6cd5\u8981\u76f8\u5bf9\u6734\u7d20\u4e00\u4e9b<\/p>\n<p>\u4e16\u754c\u6c99\u76d2\u7684\u6838\u5fc3\u662f\u4e00\u4e2a\u6811\u72b6 Json \u6570\u636e\uff0c\u5176\u4f9d\u636e\u5c42\u6b21\u50a8\u5b58\u6e38\u620f\u573a\u666f\u4e2d\u6240\u6709\u7684\u4fe1\u606f\uff1a<\/p>\n<ul>\n<li>\n<p>\u4e00\u65b9\u9762\uff0c\u5176\u5305\u542b\u573a\u666f\u4e2d\u65e2\u6709\u5bf9\u8c61\uff0c\u5305\u62ec\u5efa\u7b51\u548c\u6446\u4ef6\u7b49\u7684\u57fa\u7840\u5c42\u7ea7\u4fe1\u606f<\/p>\n<p><a href=\"assets\/2304.03442-20230410183310-5q0s9ak.pdf?p=5\" target=\"_blank\"  rel=\"nofollow\" >2304.03442.pdf - p5 - \u901a\u8fc7\u4f7f\u7528\u7a7a\u95f4\u6811\u6784\u5efa\u6240\u6709\u573a\u666f POI\uff0cAgent \u901a\u8fc7\u6811\u53ef\u89c1\u6027\u8bbf\u95ee\u573a\u666f\u4fe1\u606f<\/a><br \/>\n\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052149721.png\" alt=\"\" \/>\u200b<\/p>\n<\/li>\n<li>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u5176\u50a8\u5b58\u4e86\u6c99\u76d2\u4e16\u754c\u4e2d\u6bcf\u4e2a\u4ee3\u7406\u7684\u4fe1\u606f\uff0c\u5305\u62ec\u5176\u4f4d\u7f6e\u3001\u5f53\u524d\u52a8\u4f5c\u63cf\u8ff0\u3001\u4ee5\u53ca\u4ed6\u4eec\u6b63\u5728\u4ea4\u4e92\u7684\u6c99\u76d2\u5bf9\u8c61<\/p>\n<\/li>\n<\/ul>\n<p>\u5bf9\u4e8e\u6bcf\u4e2a\u65f6\u95f4\u6b65\uff0c\u670d\u52a1\u5668\u5c06\u89e3\u6790\u573a\u666f\u7684\u72b6\u6001\uff0c\u4f8b\u5982\u5bf9\u4e8e Agent \u4f7f\u7528\u5496\u5561\u673a\u7684\u60c5\u666f\uff0c\u4f1a\u81ea\u52a8\u5c06\u5496\u5561\u673a\u8f6c\u6362\u4e3a\u6b63\u5728\u4f7f\u7528\u4e2d\u7684\u72b6\u6001\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u800c\u76f8\u5bf9\u66f4\u6709\u8da3\u7684\u8bbe\u8ba1\u662f\uff0c\u573a\u666f\u4e2d\u7684\u6240\u6709\u4fe1\u606f\u4f1a\u4f9d\u9760\u8ba4\u77e5\u8fc7\u6ee4\uff08\u5373 NPC \u662f\u5426\u80fd\u611f\u77e5\u5176\u611f\u77e5\u8303\u56f4\u5916\u7684\u73af\u5883\u53d8\u5316\uff09\u8fdb\u884c\u7b5b\u9009\uff0c\u5e76\u6700\u7ec8\u5448\u73b0\u6210 NPC \u53ef\u611f\u77e5\/\u6709\u5370\u8c61\u7684\u5b50\u96c6\u3002<\/p>\n<p>\u540c\u65f6\uff0c\u7a7a\u95f4\u4fe1\u606f\u4f1a\u88ab\u81ea\u52a8\u7ec4\u6210\u81ea\u7136\u8bed\u8a00 Prompt\uff0c\u7528\u4e8e\u5e2e\u52a9 Agent \u66f4\u597d\u5730\u7406\u89e3\u5916\u90e8\u4fe1\u606f\u3002\u751a\u81f3\u5f53 Agent \u5e0c\u671b\u83b7\u53d6\u7a7a\u95f4\u4fe1\u606f\u65f6\uff0c\u5176\u80fd\u4e3b\u52a8\u9012\u5f52\u8c03\u7528\u4e16\u754c\u4fe1\u606f\uff0c\u4ece\u800c\u8ba9 NPC \u80fd\u51c6\u786e\u627e\u5230\u5176\u5e0c\u671b\u62b5\u8fbe\u7684\u53f6\u5b50\u8282\u70b9\u3002<\/p>\n<p>\u200d<\/p>\n<h2>Agent \u6784\u5efa<\/h2>\n<p>\u6a21\u578b\u4e2d\u7684 Agent \u7531 \u6570\u636e\u5e93 + LLMs \u6784\u5efa<\/p>\n<p>\u5bf9\u4e8e\u4e00\u4e2a\u521d\u59cb\u5316\u7684 Agent\uff0c\u4f1a\u5c06\u89d2\u8272\u7684\u521d\u59cb\u8bbe\u5b9a\u548c\u89d2\u8272\u5173\u8054\u8bbe\u5b9a\u4f5c\u4e3a\u9ad8\u4f18\u5148\u7ea7\u7684\u201c\u79cd\u5b50\u201d\u50a8\u5b58\u5728\u201c\u8bb0\u5fc6\u201d\u4e2d\uff0c\u5728\u8bb0\u5fc6\u79cd\u5b50\u7684\u57fa\u7840\u4e0a\uff0c\u5f97\u4ee5\u6784\u5efa\u89d2\u8272\u7684\u57fa\u672c\u7279\u5f81\u548c\u793e\u4ea4\u5173\u7cfb\uff0c\u7528\u4e8e\u5c55\u5f00\u540e\u7eed\u5173\u8054<\/p>\n<p>\u200d<\/p>\n<p>\u4e00\u4e2a Agent \u6838\u5fc3\u7684\u80fd\u529b\u662f \u2014\u2014 \u5c06<strong>\u5f53\u524d\u73af\u5883<\/strong>\u548c<strong>\u8fc7\u53bb\u7ecf\u9a8c<\/strong>\u4f5c\u4e3a\u8f93\u5165\uff0c\u5e76\u5c06<strong>\u751f\u6210\u884c\u4e3a<\/strong>\u4f5c\u4e3a\u8f93\u51fa<\/p>\n<p>\u5bf9\u4e8e<strong>\u5f53\u524d\u73af\u5883<\/strong>\uff0c\u5728\u6784\u5efa\u4e16\u754c\u6c99\u76d2\u6a21\u5757\u5bf9\u65b9\u6cd5\u8bba\u8fdb\u884c\u4e86\u7b80\u8981\u7684\u4ecb\u7ecd\u3002<\/p>\n<p>\u800c\u5bf9\u4e8e<strong>\u8fc7\u53bb\u7ecf\u9a8c<\/strong>\u7684\u8f93\u5165\uff0c\u5219\u662f\u6587\u7ae0\u7684\u4e00\u5927\u4eae\u70b9<\/p>\n<p>\u200d<\/p>\n<h3>\u8bb0\u5fc6\u6a21\u5f0f<\/h3>\n<p>\u5bf9\u4e8e Agent \u7684\u8bb0\u5fc6\uff0c\u4f9d\u6258\u4e8e\u4e00\u4e2a\u50a8\u5b58\u4fe1\u606f\u6d41\u7684\u6570\u636e\u5e93<\/p>\n<p>\u6570\u636e\u5e93\u4e2d\u6838\u5fc3\u50a8\u5b58\u4e09\u7c7b\u5173\u952e\u8bb0\u5fc6\u4fe1\u606f memory, planning and reflection<\/p>\n<p>\u200d<\/p>\n<p><strong>memory<\/strong><\/p>\n<p>\u5bf9\u4e8e Agent \u6bcf\u4e2a\u65f6\u95f4\u6b65\u89c2\u6d4b\u5230\u7684\u4e8b\u4ef6\uff0c\u4f1a\u88ab\u987a\u5e8f\u6807\u8bb0\u65f6\u95f4\u6233\u50a8\u5b58\u8fdb\u8bb0\u5fc6\u6570\u636e\u5e93\u4e2d<\/p>\n<p>\u800c\u5bf9\u4e8e\u50a8\u5b58\u8fdb\u6570\u636e\u5e93\u7684\u4fe1\u606f\uff0c\u8bb0\u5fc6\u7ba1\u7406\u5668\u901a\u8fc7\u4e09\u4e2a\u6807\u51c6\u5bf9\u5176\u8fdb\u884c\u8bc4\u4f30\u548c\u7ba1\u7406<\/p>\n<ul>\n<li>Recency\uff1a\u65f6\u6548\u6027\uff0c\u8bb0\u5fc6\u5728\u6570\u636e\u5e93\u4e2d\u4f1a\u968f\u7740\u65f6\u95f4\u63a8\u79fb\u964d\u4f4e\u65f6\u6548\u6027\uff0c\u6570\u636e\u5e93\u50a8\u5b58\u8bb0\u5fc6\u7684\u6700\u540e\u8bbf\u95ee\u65f6\u95f4\uff0c\u5e76\u7531\u6b64\u4e0e\u5f53\u524d\u65f6\u95f4\u5bf9\u6bd4\uff0c\u8ba1\u7b97\u65f6\u6548\u6027\u8bc4\u5206<\/li>\n<li>Importance\uff1a\u91cd\u8981\u6027\uff0c\u5f53\u8bb0\u5fc6\u50a8\u5b58\u65f6\uff0c\u4f1a\u4f7f\u7528\u7279\u5b9a Prompt \u8ba9 Agent \u81ea\u4e3b\u8bc4\u4f30\u5f53\u524d\u8bb0\u5fc6\u7684\u91cd\u8981\u6027\uff0c\u5e76\u4f9d\u636e\u8be5\u8bc4\u5206\u8c03\u6574\u8be5\u8bb0\u5fc6\u7684\u6743\u91cd\uff08\u4f8b\u5982\u626b\u5730\u548c\u505a\u5496\u5561\u53ef\u80fd\u5c31\u662f\u65e0\u5173\u7d27\u8981\u7684\u8bb0\u5fc6\uff09<\/li>\n<li>Relevance\uff1a\u5173\u8054\u6027\uff0c\u8be5\u6307\u6807\u88ab\u9690\u5f0f\u5730\u50a8\u5b58\uff0c\u8868\u73b0\u4e3a\u4e00\u4e2a\u5d4c\u5165\u7d22\u5f15\uff0c\u5f53\u8c03\u53d6\u8bb0\u5fc6\u65f6\uff0c\u4f1a\u5c06\u8c03\u53d6\u8bb0\u5fc6\u7684\u5173\u952e\u8bcd\u5d4c\u5165\u4e0e\u7d22\u5f15\u76f8\u5339\u914d\uff0c\u4ee5\u53d6\u5f97\u5173\u8054\u6027\u7684\u8bc4\u5206<\/li>\n<\/ul>\n<p>\u5bf9\u4e8e\u5bf9\u8bb0\u5fc6\u6570\u636e\u5e93\u8fdb\u884c\u7d22\u5f15\u7684\u60c5\u51b5\uff0c\u4f1a\u5b9e\u65f6\u8bc4\u4f30\u4e0a\u8ff0\u4e09\u4e2a\u6307\u6807\uff0c\u5e76\u7ec4\u5408\u6743\u91cd\uff0c\u8fd4\u56de\u5bf9\u8bb0\u5fc6\u7d22\u5f15\u5185\u5bb9\u7684\u6392\u5e8f<\/p>\n<p>\u200d<\/p>\n<p><strong>reflection<\/strong><\/p>\n<p>\u53cd\u601d\u673a\u5236\u7528\u4e8e\u5b9a\u671f\u6574\u7406\u5f53\u524d\u7684 memory \u6570\u636e\u5e93\uff0c\u8ba9 npc \u6784\u5efa\u5bf9\u4e16\u754c\u548c\u81ea\u8eab\u7684\u9ad8\u5c42\u8ba4\u77e5<\/p>\n<p>\u200d<\/p>\n<p>\u53cd\u601d\u673a\u5236\u4f9d\u9760\u4e00\u4e2a\u81ea\u52a8\u7684\u8fc7\u7a0b\uff0c\u53cd\u601d-\u63d0\u95ee-\u89e3\u7b54<\/p>\n<p>\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0cAgent \u9700\u8981\u590d\u76d8\u81ea\u8eab\u6240\u63a5\u53d7\u7684\u8bb0\u5fc6\uff0c\u5e76\u57fa\u4e8e\u8bb0\u5fc6\u5bf9\u81ea\u5df1\u8fdb\u884c\u8ffd\u95ee\uff1a<\/p>\n<p>\u201c\u6839\u636e\u4e0a\u8ff0\u4fe1\u606f\uff0c\u6211\u4eec\u80fd\u95ee\u51fa\u54ea\u4e9b\u6700\u9ad8\u4f18\u5148\u7ea7\uff08\u6709\u8da3\uff09\u7684\u95ee\u9898\u201d<\/p>\n<p>\u200d<\/p>\n<p>\u4f9d\u636e\u7531 Agent \u7684\u597d\u5947\u81ea\u4e3b\u4ea7\u751f\u7684\u95ee\u9898\uff0c\u6211\u4eec\u91cd\u65b0\u7d22\u5f15\u6570\u636e\u5e93\uff0c\u5e76\u56f4\u7ed5\u76f8\u5173\u7684\u8bb0\u5fc6\u4ea7\u751f\u66f4\u9ad8\u5c42\u7684\u6d1e\u5bdf<\/p>\n<blockquote>\n<p>What 5 high-level insights can you infer from the above statements?<\/p>\n<p>(example format: insight (because of 1, 5, 3))<\/p>\n<\/blockquote>\n<p>\u8fdb\u4e00\u6b65\u7684\uff0c\u6211\u4eec\u5c06\u8fd9\u4e9b\u6d1e\u5bdf\u4ee5\u76f8\u540c\u7684\u5f62\u5f0f\u91cd\u65b0\u50a8\u5b58\u81f3\u8bb0\u5fc6\u5e93\u4e2d\uff0c\u7531\u6b64\u6a21\u62df\u4eba\u7c7b\u7684\u8bb0\u5fc6\u8ba4\u77e5\u8fc7\u7a0b<\/p>\n<p>\u200d<\/p>\n<p><strong>planning<\/strong><\/p>\n<p>Planning \u7684\u6838\u5fc3\u5728\u4e8e\u9f13\u52b1 Agent \u4e3a\u672a\u6765\u505a\u51fa\u4e00\u5b9a\u7684\u89c4\u5212\uff0c\u4f7f\u5f97\u540e\u7eed\u884c\u52a8\u53d8\u5f97\u53ef\u4fe1<\/p>\n<p>\u8ba1\u5212\u7531 Agent \u81ea\u884c\u751f\u6210\uff0c\u5e76\u5b58\u5165\u8bb0\u5fc6\u6d41\u4e2d\uff0c\u7528\u4e8e\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5f71\u54cd Agent \u7684\u5f53\u524d\u884c\u4e3a<\/p>\n<p>\u5bf9\u4e8e\u6bcf\u5929 Agent \u90fd\u4f1a\u6784\u5efa\u7c97\u7565\u7684\u8ba1\u5212\uff0c\u5e76\u5728\u5b9e\u9645\u6267\u884c\u4e2d\u5b8c\u5584\u7ec6\u8282<\/p>\n<p>\u5728\u6b64\u57fa\u7840\u4e0a\uff0cAgent \u4e5f\u9700\u8981\u5bf9\u73af\u5883\u505a\u51fa\u53cd\u5e94\u800c\u8c03\u6574\u81ea\u5df1\u7684\u8ba1\u5212\u8868\uff08\u4f8b\u5982\u81ea\u8eab\u5224\u65ad\u5916\u754c\u4ea4\u4e92\u7684\u4f18\u5148\u7ea7\u6bd4\u5f53\u524d\u8ba1\u5212\u66f4\u9ad8\u3002<\/p>\n<p>\u200d<\/p>\n<h3>\u4ea4\u4e92\u6784\u5efa<\/h3>\n<p>\u57fa\u4e8e\u4e0a\u8ff0\u8bb0\u5fc6\u6846\u67b6\uff0c\u8fdb\u4e00\u6b65\u5b9e\u65f6\u8ba9 Agent \u81ea\u884c\u611f\u77e5\u5e76\u9009\u62e9\u4e0e\u5176\u5b83 Agent \u6784\u5efa\u4ea4\u4e92<\/p>\n<p>\u5e76\u6700\u7ec8\u4f7f\u5f97\u590d\u6742\u7684\u793e\u7fa4\u5728\u4ea4\u4e92\u4e2d\u6d8c\u73b0<\/p>\n<p>\u200d<\/p>\n<h2>\u542f\u53d1<\/h2>\n<p>Generative Agent \u6846\u67b6\u4e3b\u8981\u5e26\u6765\u4e86\u4e00\u4e9b\u542f\u53d1\uff0c\u4e0d\u6b62\u4e8e AI-NPC \u7684\u6784\u5efa\uff0c\u5176\u64cd\u4f5c\u7684\u8bf8\u591a\u7ec6\u8282\u90fd\u662f\u80fd\u8fdb\u4e00\u6b65\u4e3a\u6211\u4eec\u5728\u5b9e\u9645\u7684\u5de5\u7a0b\u4e2d\u6240\u5ef6\u62d3\u7684\u3002<\/p>\n<p>\u4f8b\u5982\uff1a<\/p>\n<blockquote>\n<p>\u611f\u77e5\uff0c\u56f4\u7ed5\u76ee\u6807\u9012\u5f52\u5bf9\u5730\u56fe\u641c\u7d22\uff0c\u5e26\u6765\u4e86\u9012\u5f52\u68c0\u7d22\u6570\u636e\u5e93\u7684\u53ef\u80fd\u6027\uff0c\u4ee5\u53ca\u8981\u5982\u4f55\u6709\u6548\u6784\u5efa\u6570\u636e\u5e93\u4e4b\u95f4\u7684\u5173\u8054\uff08\u4e0d\u6b62\u4e8e\u6811<\/p>\n<p>\u8bb0\u5fc6\uff0c\u5c06 AI \u7684 Reflection \u7b49\u8868\u73b0\u50a8\u5b58\u8fdb\u6570\u636e\u5e93\u4e2d\uff0c\u7528\u4e8e\u5b9e\u73b0\u9ad8\u5c42\u89c2\u70b9\u7684\u6784\u5efa\uff0c\u6bd4\u65b9\u8bf4\u81ea\u52a8\u6784\u5efa\u5bf9\u590d\u6742\u5bf9\u8c61\uff0c\u5982\u4ee3\u7801\u5e93\u7684\u9ad8\u5c42\u7406\u89e3<\/p>\n<p>\u4ea4\u4e92\uff0c\u901a\u8fc7\u5730\u56fe\u8981\u7d20\u7684\u62c6\u5206\u548c\u53ef\u8bfb\u5316\u6784\u5efa\u7684\u4ea4\u4e92\u6846\u67b6\uff0c\u5982\u4f55\u57fa\u4e8e\u8be5\u601d\u8def\u6784\u5efa\u5927\u4e16\u754c\u5730\u56fe\u5173\u5361\u6570\u636e\u7684\u6570\u636e\u5e93\uff0c\u5982\u4f55\u628a\u5b83\u62d3\u5c55\u5230\u66f4\u590d\u6742\u7684\u6e38\u620f\u4e2d<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u8ba4\u4e3a\uff0cGenerative Agents \u4e00\u6587\u7684\u6838\u5fc3\u4eae\u70b9\u5728\u4e8e\uff0c\u5176\u6784\u5efa\u4e86\u4e00\u5957\u5145\u5206\u6709\u6548\u7684\u4fe1\u606f\u7ba1\u7406\u673a\u5236\u4ee5\u652f\u6491\u4e16\u754c\u8fd0\u884c\u7684\u9700\u8981\uff0c\u5e76\u672a\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u542f\u53d1\u6027\u7684\u6570\u636e\u7ba1\u7406\u89c2\u70b9<\/p>\n<ul>\n<li>\u5c42\u6b21\u7ba1\u7406\u6570\u636e\uff1a\u901a\u8fc7\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u5c42\u7684\u7ba1\u7406\u548c\u8bbf\u95ee\uff0c\u964d\u4f4e\u8fd0\u7b97\u5f00\u9500\uff0c\u5e76\u901a\u8fc7\u7cfb\u7edf\u7ea7\u9012\u5f52\u5b9e\u73b0\u8bbf\u95ee<\/li>\n<li>\u5c42\u6b21\u7ba1\u7406\u4fe1\u606f\uff1a\u901a\u8fc7\u8bed\u8a00\u6a21\u578b\u7684\u80fd\u529b\u4e3a\u4fe1\u606f\u6784\u5efa\u9ad8\u5c42\u7684 Insight\uff0c\u5bf9\u788e\u7247\u4fe1\u606f\u7684\u4fe1\u606f\u91cf\u8fdb\u884c\u805a\u5408<\/li>\n<li>\u6570\u636e\u4ef7\u503c\u8bc4\u4f30\uff1a\u901a\u8fc7\u5b9e\u9645\u9700\u6c42\u5bf9\u4fe1\u606f\u8fdb\u884c\u8bc4\u4f30\uff0c\u6784\u5efa\u591a\u6837\u5316\u7684\u4fe1\u606f\u8bc4\u4f30\u6307\u6807\uff0c\u5b9e\u73b0\u4fe1\u606f\u7684\u6709\u6548\u83b7\u53d6<\/li>\n<li>AI x \u4fe1\u606f\u81ea\u52a8\u5316\u7cfb\u7edf\u7684\u6784\u5efa\uff1a\u57fa\u4e8e AI+ \u8f6f\u4ef6\u7cfb\u7edf\u800c\u975e\u57fa\u4e8e\u4eba\u5de5\u5bf9\u6570\u636e\u8fdb\u884c\u6536\u96c6\u548c\u7ba1\u7406<\/li>\n<li>etc...<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<h1>AutoGPT\uff1a\u81ea\u52a8\u5316\u7684\u667a\u80fd\u8f6f\u4ef6\u7cfb\u7edf<\/h1>\n<p><a href=\"https:\/\/github.com\/Torantulino\/Auto-GPT\" target=\"_blank\"  rel=\"nofollow\" >Torantulino\/Auto-GPT: An experimental open-source attempt to make GPT-4 fully autonomous. (github.com)<\/a><\/p>\n<p>\u540c\u4e3a\u8fd1\u671f\uff0c\u4e00\u4e2a\u540d\u4e3a AutoGPT \u7684\u8f6f\u4ef6\u7cfb\u7edf\u5728 Github \u4e0a\u88ab\u5f00\u6e90\uff0c\u5176\u901a\u8fc7\u6784\u5efa\u8f6f\u4ef6\u7cfb\u7edf\u652f\u6301\uff0c\u8ba9 AI \u80fd\u56f4\u7ed5\u9884\u8bbe\u5b9a\u7684\u76ee\u6807\u53cd\u590d\u8fed\u4ee3\uff0c\u5e76\u81ea\u4e3b\u83b7\u53d6\u5916\u754c\u7684\u53cd\u9988\uff0c\u4ece\u800c\u5f62\u6210\u4e00\u4e2a\u80fd\u81ea\u52a8\u5316\u6ee1\u8db3\u9700\u6c42\u7684\u81ea\u52a8\u673a\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u7279\u522b\u7684\uff0c\u5176\u53ef\u4ee5\u88ab\u89c6\u4e3a\u524d\u6587\u4e2d Generative Agent \u4e2d\u7531\u7cfb\u7edf\u81ea\u9a71\u52a8\u5355\u4e2a Agent \u7684\u62d3\u5c55\uff0c\u901a\u8fc7\u6784\u5efa\u5185\u7f6e\u548c\u5916\u7f6e\u7684\u4e0d\u540c\u76ee\u6807\u9a71\u52a8 GPT \u4f5c\u4e3a Agent \u6301\u7eed\u8fd0\u884c<\/p>\n<p>AutoGPT \u4e3b\u8981\u7279\u6027\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528 GPT-4 \u5b9e\u4f8b\u8fdb\u884c\u6587\u672c\u751f\u6210<\/li>\n<li>\ufe0f \u4f7f\u7528 GPT-3.5 \u8fdb\u884c\u6587\u4ef6\u5b58\u50a8\u548c\u6458\u8981<\/li>\n<li>\u63a5\u5165\u4e92\u8054\u7f51\u83b7\u53d6\u4fe1\u606f<\/li>\n<li>\u957f\u671f\u548c\u77ed\u671f\u5185\u5b58\u7ba1\u7406<\/li>\n<\/ul>\n<p>\u8003\u8651\u5230\u5de5\u7a0b\u7ec6\u8282\uff0c\u8be5\u9879\u76ee\u5b9e\u9645\u4e0a\u6ca1\u7528\u7279\u522b\u5927\u7684\u836f\u7684\u843d\u5730\u6848\u4f8b\uff0c\u4f46\u6beb\u65e0\u7591\u95ee\u8fd9\u662f\u9762\u5411\u672a\u6765\u7684 GPT \u4f7f\u7528\u65b9\u5f0f<\/p>\n<p>\u200d<\/p>\n<p>\u5176\u6838\u5fc3\u673a\u5236\u5728\u4e8e\uff0c\u901a\u8fc7 LLMs \u548c \u8bb0\u5fc6\/\u76ee\u6807\u7ba1\u7406\u6a21\u5757 \u7684\u7b26\u5408\uff0c\u6784\u5efa\u51fa\u4e86\u4e00\u4e2a\u590d\u6742\u7684 Agent \u7cfb\u7edf<\/p>\n<p>\u6211\u4eec\u901a\u5e38\u4e0d\u518d\u5c06\u8be5\u7cfb\u7edf\u8ba4\u4e3a\u662f\u4e00\u4e2a\u5b8c\u6574\u7684 GPT \u7ebf\u7a0b\uff1a<\/p>\n<p>\u8fd9\u662f\u4e00\u4e2a\u901a\u8fc7\u5de5\u7a0b\u3001\u901a\u8fc7\u7cfb\u7edf\u5316\u3001\u901a\u8fc7\u53cd\u9988\u6784\u5efa\u7684\u81ea\u52a8\u673a\uff0c\u5c31\u50cf\u4eba\u4e00\u6837\u3002<\/p>\n<p><strong>\uff08\u6211\u4eec\u9700\u8981\u653e\u4e0b\u901a\u8fc7 LLMs \u6765\u6a21\u62df\u667a\u80fd\u4f53\u7684\u6267\u5ff5\uff0c\u6211\u4eec\u4f5c\u4e3a\u667a\u80fd\u4f53\u7684\u5b9e\u8d28\u662f\u4e00\u4e2a\u8f93\u5165\u8f93\u51fa\u7684\u7cfb\u7edf\uff0c\u800c\u6211\u4eec\u6240\u81ea\u8ba4\u4e3a\u7684\u81ea\u7531\u610f\u5fd7\u4e5f\u53ea\u662f\u5927\u8111\u7684\u4e00\u4e2a\u89e3\u91ca\u6a21\u5757\u800c\u5df2\uff0c\u4e5f\u8bb8\u4e0e\u667a\u80fd\u7cfb\u7edf\u4e2d\u8c03\u7528\u7684\u5355\u4e2a LLMs \u7ebf\u7a0b\u5f02\u66f2\u540c\u5de5\uff09<\/strong><\/p>\n<p>\u200d<\/p>\n<p>\u5f53\u524d\uff0cAutoGPT \u7684\u80fd\u529b\u4e3b\u8981\u53cd\u5e94\u5728\u4e3b\u52a8\u901a\u8fc7 Google API \u8054\u7f51\uff0c\u5bfb\u627e\u5e76\u8bb0\u5fc6\u81ea\u5df1\u9700\u8981\u4f7f\u7528\u5230\u7684\u77e5\u8bc6\uff0c\u5305\u62ec\u67d0\u4e9b\u8f6f\u4ef6\u7684\u63a5\u53e3\u548c\u5176\u5b83 API\uff0c\u4e5f\u5305\u62ec\u81ea\u5df1\u5b8c\u6210\u67d0\u4e9b\u5206\u6790\u6240\u9700\u8981\u7684\u77e5\u8bc6\u3002<\/p>\n<p>\u200d<\/p>\n<p>\uff08\u5df2\u7ecf\u6709\u4eba\u5c1d\u8bd5\u901a\u8fc7\u5176\u5feb\u901f\u6784\u5efa\u8f6f\u4ef6\u5de5\u7a0b\uff0c\u6216\u8005\u5b8c\u6210\u5176\u5b83\u67d0\u4e9b\u81ea\u52a8\u5316\u64cd\u4f5c\uff0c\u65b0\u7684\u5927\u6d3b\u6211\u4f1a\u6301\u7eed\u8ddf\u8fdb\u3002\uff09<\/p>\n<p>\uff08\u867d\u7136\u611f\u89c9\u70c2\u5b8c\uff09<\/p>\n<p>\uff08\u5982\u4e0b\u662f AutoGPT \u7684\u57fa\u7840 Prompt\uff09<\/p>\n<pre><code class=\"language-json\">[\n    {\n        'content': 'You are Eliza, an AI designed to write code according to my requirements.\\n'\n        'Your decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications.\\n\\n'\n\n    'GOALS:\\n\\n'\n        '1. \\n\\n\\n'\n\n        'Constraints:\\n'\n        '1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.\\n'\n        '2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.\\n'\n        '3. No user assistance\\n'\n        '4. Exclusively use the commands listed in double quotes e.g. &quot;command name&quot;\\n\\n'\n\n    'Commands:\\n'\n        '1. Google Search: &quot;google&quot;, args: &quot;input&quot;: &quot;&lt;search&gt;&quot;\\n'\n        '2. Browse Website: &quot;browse_website&quot;, args: &quot;url&quot;: &quot;&lt;url&gt;&quot;, &quot;question&quot;: &quot;&lt;what_you_want_to_find_on_website&gt;&quot;\\n'\n        '3. Start GPT Agent: &quot;start_agent&quot;, args: &quot;name&quot;: &quot;&lt;name&gt;&quot;, &quot;task&quot;: &quot;&lt;short_task_desc&gt;&quot;, &quot;prompt&quot;: &quot;&lt;prompt&gt;&quot;\\n'\n        '4. Message GPT Agent: &quot;message_agent&quot;, args: &quot;key&quot;: &quot;&lt;key&gt;&quot;, &quot;message&quot;: &quot;&lt;message&gt;&quot;\\n'\n        '5. List GPT Agents: &quot;list_agents&quot;, args: \\n'\n        '6. Delete GPT Agent: &quot;delete_agent&quot;, args: &quot;key&quot;: &quot;&lt;key&gt;&quot;\\n'\n        '7. Write to file: &quot;write_to_file&quot;, args: &quot;file&quot;: &quot;&lt;file&gt;&quot;, &quot;text&quot;: &quot;&lt;text&gt;&quot;\\n'\n        '8. Read file: &quot;read_file&quot;, args: &quot;file&quot;: &quot;&lt;file&gt;&quot;\\n'\n        '9. Append to file: &quot;append_to_file&quot;, args: &quot;file&quot;: &quot;&lt;file&gt;&quot;, &quot;text&quot;: &quot;&lt;text&gt;&quot;\\n'\n        '10. Delete file: &quot;delete_file&quot;, args: &quot;file&quot;: &quot;&lt;file&gt;&quot;\\n'\n        '11. Search Files: &quot;search_files&quot;, args: &quot;directory&quot;: &quot;&lt;directory&gt;&quot;\\n'\n        '12. Evaluate Code: &quot;evaluate_code&quot;, args: &quot;code&quot;: &quot;&lt;full_code_string&gt;&quot;\\n'\n        '13. Get Improved Code: &quot;improve_code&quot;, args: &quot;suggestions&quot;: &quot;&lt;list_of_suggestions&gt;&quot;, &quot;code&quot;: &quot;&lt;full_code_string&gt;&quot;\\n'\n        '14. Write Tests: &quot;write_tests&quot;, args: &quot;code&quot;: &quot;&lt;full_code_string&gt;&quot;, &quot;focus&quot;: &quot;&lt;list_of_focus_areas&gt;&quot;\\n'\n        '15. Execute Python File: &quot;execute_python_file&quot;, args: &quot;file&quot;: &quot;&lt;file&gt;&quot;\\n'\n        '16. Execute Shell Command, non-interactive commands only: &quot;execute_shell&quot;, args: &quot;command_line&quot;: &quot;&lt;command_line&gt;&quot;\\n'\n        '17. Task Complete (Shutdown): &quot;task_complete&quot;, args: &quot;reason&quot;: &quot;&lt;reason&gt;&quot;\\n'\n        '18. Generate Image: &quot;generate_image&quot;, args: &quot;prompt&quot;: &quot;&lt;prompt&gt;&quot;\\n'\n        '19. Do Nothing: &quot;do_nothing&quot;, args: \\n\\n'\n\n    'Resources:\\n'\n        '1. Internet access for searches and information gathering.\\n'\n        '2. Long Term memory management.\\n'\n        '3. GPT-3.5 powered Agents for delegation of simple tasks.\\n'\n        '4. File output.\\n\\n'\n\n    'Performance Evaluation:\\n'\n        '1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\\n'\n        '2. Constructively self-criticize your big-picture behavior constantly.\\n'\n        '3. Reflect on past decisions and strategies to refine your approach.\\n'\n        '4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\\n\\n'\n\n    'You should only respond in JSON format as described below \\n'\n    'Response Format: \\n'\n        '{\\n'\n        '    &quot;thoughts&quot;: {\\n'\n        '        &quot;text&quot;: &quot;thought&quot;,\\n'\n        '        &quot;reasoning&quot;: &quot;reasoning&quot;,\\n'\n        '        &quot;plan&quot;: &quot;- short bulleted\\\\n- list that conveys\\\\n- long-term plan&quot;,\\n'\n        '        &quot;criticism&quot;: &quot;constructive self-criticism&quot;,\\n'\n        '        &quot;speak&quot;: &quot;thoughts summary to say to user&quot;\\n'\n        '    },\\n'\n        '    &quot;command&quot;: {\\n'\n        '        &quot;name&quot;: &quot;command name&quot;,\\n'\n        '        &quot;args&quot;: {\\n'\n        '            &quot;arg name&quot;: &quot;value&quot;\\n'\n        '        }\\n'\n        '    }\\n'\n        '} \\n'\n        'Ensure the response can be parsed by Python json.loads',\n        'role': 'system'\n    },\n    {\n        'content': 'The current time and date is Fri Apr 14 18:47:50 2023',\n        'role': 'system'\n    },\n    {\n    'content': 'This reminds you of these events from your past:\\n\\n\\n',\n        'role': 'system'\n    },\n    {\n        'content': 'Determine which next command to use, and respond using the format specified above:',\n        'role': 'user'\n    }\n]\n<\/code><\/pre>\n<p>\u200d<\/p>\n<h1>\u56de\u5f52\u6b63\u9898\uff1aAI \u4f5c\u4e3a\u667a\u80fd\u7cfb\u7edf<\/h1>\n<p>\u200d<\/p>\n<p>\u4f5c\u4e3a\u6b63\u9898\u7684\u56de\u5f52\uff0c\u6211\u4eec\u9700\u8981\u91cd\u65b0\u8003\u8651\u4ec0\u4e48\u662f\u4e00\u4e2a AI\uff0c\u4e00\u4e2a\u80fd\u5e2e\u52a9\u6211\u4eec\u7684 AI \u5e94\u5f53\u5904\u4e8e\u4ec0\u4e48\u6837\u7684\u73b0\u5b9e\u5f62\u6001\uff1f<\/p>\n<p>\u6211\u4eec\u9700\u8981\u7684 AI \u4ec5\u4ec5\u662f\u5927\u8bed\u8a00\u6a21\u578b\u5417\uff1f\u5982\u679c\u662f\uff0c\u5b83\u80fd\u5e2e\u6211\u4eec\u505a\u4ec0\u4e48\u5462\uff1f\u5982\u679c\u4e0d\u662f\uff0c\u90a3 AI \u7684\u5b9e\u8d28\u662f\u4ec0\u4e48\u5462\uff1f<\/p>\n<p>\u200d<\/p>\n<p>\u6211\u9996\u5148\u6b66\u65ad\u5730\u8ba4\u4e3a\uff0c\u6211\u4eec\u9700\u8981\u7684 AI\uff0c\u5e76\u4e0d\u662f\u4e00\u4e2a\u8bed\u8a00\u6a21\u578b\u5b9e\u4f53\uff0c\u800c\u662f\u4e00\u4e2a\u590d\u6742\u667a\u80fd\u7cfb\u7edf<\/p>\n<p>\u800c\u4e0a\u8ff0\u56f4\u7ed5 GPT \u5c55\u5f00\u7684\u5b9e\u9a8c\uff0c\u5b9e\u8d28\u90fd\u662f\u4e0a\u8ff0\u89c2\u70b9\u7684\u4f50\u8bc1\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f1a\u56f4\u7ed5\u6b64\u8fdb\u884c\u5c55\u5f00<\/p>\n<h2>\u610f\u8bc6\u7406\u8bba\u4e4b\u4e8e AI\uff1a\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba<\/h2>\n<p><strong>\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba<\/strong>\uff08\u82f1\u8bed\uff1aGlobal workspace theory\uff0cGWT\uff09\u662f\u7f8e\u56fd\u5fc3\u7406\u5b66\u5bb6<a href=\"https:\/\/zh.wikipedia.org\/w\/index.php?title=%E4%BC%AF%E7%BA%B3%E5%BE%B7%C2%B7%E5%B7%B4%E5%B0%94%E6%96%AF&amp;action=edit&amp;redlink=1\" target=\"_blank\"  rel=\"nofollow\" >\u4f2f\u7eb3\u5fb7\u00b7\u5df4\u5c14\u65af<\/a>\u63d0\u51fa\u7684<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E6%84%8F%E8%AF%86\" title=\"\u610f\u8bc6\" target=\"_blank\"  rel=\"nofollow\" >\u610f\u8bc6<\/a>\u6a21\u578b\u3002\u8be5\u7406\u8bba\u5047\u8bbe\u610f\u8bc6\u4e0e\u4e00\u4e2a\u5168\u5c40\u7684\u201c\u5e7f\u64ad\u7cfb\u7edf\u201d\u76f8\u5173\u8054\uff0c\u8fd9\u4e2a\u7cfb\u7edf\u4f1a\u5728\u6574\u4e2a\u5927\u8111\u4e2d\u5e7f\u64ad\u8d44\u8baf\u3002\u5927\u8111\u4e2d\u4e13\u5c5e\u7684\u667a\u80fd\u5904\u7406\u5668\u4f1a\u6309\u7167\u60ef\u5e38\u7684\u65b9\u5f0f\u81ea\u52a8\u5904\u7406\u8d44\u8baf\uff0c\u8fd9\u4e2a\u65f6\u5019\u4e0d\u4f1a\u5f62\u6210<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E6%84%8F%E8%AF%86\" title=\"\u610f\u8bc6\" target=\"_blank\"  rel=\"nofollow\" >\u610f\u8bc6<\/a>\u3002\u5f53\u4eba\u9762\u5bf9\u65b0\u7684\u6216\u8005\u662f\u4e0e\u4e60\u60ef\u6027\u523a\u6fc0\u4e0d\u540c\u7684\u4e8b\u7269\u65f6\uff0c\u5404\u79cd\u4e13\u5c5e\u667a\u80fd\u5904\u7406\u5668\u4f1a\u900f\u8fc7\u5408\u4f5c\u6216\u7ade\u4e89\u7684\u65b9\u5f0f\uff0c\u5728\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u4e2d\u5bf9\u65b0\u4e8b\u7269\u8fdb\u884c\u5206\u6790\u4ee5\u83b7\u5f97\u6700\u4f73\u7ed3\u679c\uff0c\u800c\u610f\u8bc6\u6b63\u662f\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\u5f97\u4ee5\u4ea7\u751f\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u8fd9\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f <strong>\u795e\u7ecf\u79d1\u5b66\u5bb6\u63a5\u53d7\u5ea6\u6700\u9ad8\u7684\u54f2\u5b66\u7406\u8bba<\/strong><\/p>\n<p>\u4ece\u67d0\u79cd\u610f\u4e49\u4e0a\u6765\u8bf4\uff0c\u8be5\u7406\u8bba\u5c06\u201c\u7cfb\u7edf\u201d\u6446\u5728\u4e86\u4e3b\u4f53\u7684\u4f4d\u7f6e\uff0c\u800c\u628a\u7eaf\u7cb9\u7684\u8bed\u8a00\u6216\u201c\u610f\u8bc6\u201d\u8f6c\u53d8\u6210\u4e86\u7cfb\u7edf\u8fd0\u52a8\u7684\u73b0\u8c61\uff0c\u8868\u73b0\u4e3a\u7cfb\u7edf\u7279\u6b8a\u8fd0\u4f5c\u60c5\u51b5\u7684\u5916\u663e\u5f62\u5f0f\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u5176\u63d0\u9192\u6211\u4eec\uff0c\u5c31\u8fde\u6211\u4eec\u7684\u610f\u8bc6\u4e3b\u4f53\u6027\uff0c\u4e5f\u53ea\u662f\u9648\u8ff0\u81ea\u6211\u7684\u4e00\u4e2a\u8868\u8ff0\u5668\u800c\u5df2\u3002\u6211\u4eec\u662f\u5426\u5e94\u5f53\u5bf9\u8bed\u8a00\u7684\u80fd\u529b\u8fc7\u4e8e\u8ff7\u4fe1\uff0c\u800c\u76f8\u4fe1\u6211\u4eec\u80fd\u901a\u8fc7\u8bad\u7ec3\u6a21\u578b\u6784\u5efa All in One \u7684\u667a\u80fd\u5b9e\u4f53\uff1f\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052149237.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u5982\u56fe\u6240\u793a\uff0c\u5728\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u7684\u5efa\u6a21\u4e2d\uff0c\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u4f5c\u4e3a\u7cfb\u7edf\uff0c\u6709\u4e94\u4e2a\u4e3b\u8981\u7684\u6a21\u5757\u8d1f\u8d23\u8f93\u5165\u548c\u8f93\u51fa<\/p>\n<p>\u5176\u5206\u522b\u662f\uff1a<\/p>\n<ul>\n<li>\u957f\u65f6\u8bb0\u5fc6\uff08\u8fc7\u53bb\uff09<\/li>\n<li>\u8bc4\u4f30\u7cfb\u7edf\uff08\u4ef7\u503c\uff09<\/li>\n<li>\u6ce8\u610f\u7cfb\u7edf\uff08\u5173\u6ce8\uff09<\/li>\n<li>\u77e5\u89c9\u7cfb\u7edf\uff08\u73b0\u5728\uff09<\/li>\n<li>\u8fd0\u52a8\u7cfb\u7edf\uff08\u672a\u6765\uff09<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<h3>\u4f8b\u5b50\uff1a\u610f\u8bc6\u7cfb\u7edf For Generative Agent<\/h3>\n<p>\u5355\u72ec\u89e3\u91ca\u7684\u8bdd\uff0c\u6216\u8bb8\u4f1a\u6bd4\u8f83\u9ebb\u70e6\uff0c\u6bd5\u7adf\u6211\u5bf9\u8ba4\u77e5\u79d1\u5b66\u5e76\u4e0d\u4e13\u4e1a<\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u7b80\u5355\u5bf9\u6bd4 Generative Agents \u5176\u6846\u67b6\uff0c\u7ed3\u5408\u610f\u8bc6\u6a21\u578b\u8ba8\u8bba Agent \u662f\u5982\u4f55\u88ab\u6709\u6548\u6784\u5efa\u7684<\/p>\n<p>\u200d<\/p>\n<p>\u56de\u987e\u524d\u6587\uff0c\u6211\u4eec\u6838\u5fc3\u5bf9\u7167 Agent \u7684\u8bb0\u5fc6\u6a21\u5757\u6784\u5efa\uff1a<\/p>\n<p>\uff08\u4e0d\u60f3\u624b\u5199\uff0c\u8ba9 GPT4 \u6765\u8fdb\u884c\u4ee3\u7b14\uff09<\/p>\n<blockquote>\n<p>\u4ece\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\uff08GWT\uff09\u7684\u89d2\u5ea6\u6765\u770b\uff0cGenerative Agent \u7684\u8bbe\u8ba1\u786e\u5b9e\u4e0e\u4e4b\u6709\u76f8\u4f3c\u4e4b\u5904\u3002GWT \u63d0\u51fa\u4e86\u4e00\u4e2a\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\uff0c\u8d1f\u8d23\u6574\u5408\u6765\u81ea\u4e0d\u540c\u8ba4\u77e5\u5b50\u7cfb\u7edf\u7684\u4fe1\u606f\u3002\u5728 Generative Agent \u7684\u6846\u67b6\u4e2d\uff0c\u8fd9\u4e9b\u8ba4\u77e5\u5b50\u7cfb\u7edf\u53ef\u4ee5\u770b\u4f5c\u662f\u4e0a\u8ff0\u63d0\u5230\u7684\u51e0\u4e2a\u6a21\u5757\u3002<\/p>\n<ul>\n<li>\u9996\u5148\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u957f\u65f6\u8bb0\u5fc6\uff08\u8fc7\u53bb\uff09\u4e0e Generative Agent \u7684 memory \u6a21\u5757\u8fdb\u884c\u7c7b\u6bd4\u3002memory \u6a21\u5757\u4e2d\u5b58\u50a8\u4e86 Agent \u5728\u8fc7\u53bb\u65f6\u95f4\u6b65\u89c2\u5bdf\u5230\u7684\u4e8b\u4ef6\uff0c\u8fd9\u4e0e\u957f\u65f6\u8bb0\u5fc6\u4e2d\u5b58\u50a8\u7684\u8fc7\u53bb\u4fe1\u606f\u76f8\u5bf9\u5e94\u3002<\/li>\n<li>\u5176\u6b21\uff0c\u8bc4\u4f30\u7cfb\u7edf\uff08\u4ef7\u503c\uff09\u53ef\u4ee5\u4e0e Generative Agent \u7684 Importance \u548c Relevance \u8fdb\u884c\u5bf9\u5e94\u3002Importance \u53ef\u4ee5\u7406\u89e3\u4e3a\u5bf9\u8bb0\u5fc6\u7684\u91cd\u8981\u6027\u8bc4\u4f30\uff0c\u800c Relevance \u5219\u8bc4\u4f30\u4e86\u8bb0\u5fc6\u4e0e\u5f53\u524d\u60c5\u5883\u7684\u5173\u8054\u6027\u3002\u8fd9\u4e24\u8005\u4e0e\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u4e2d\u5bf9\u4e0d\u540c\u8ba4\u77e5\u5b50\u7cfb\u7edf\u4fe1\u606f\u7684\u7ade\u4e89\u548c\u5e7f\u64ad\u8fc7\u7a0b\u76f8\u547c\u5e94\u3002<\/li>\n<li>\u6ce8\u610f\u7cfb\u7edf\uff08\u5173\u6ce8\uff09\u53ef\u4ee5\u4e0e Generative Agent \u7684 Recency \u76f8\u5173\u8054\u3002Recency \u8861\u91cf\u4e86\u8bb0\u5fc6\u7684\u65f6\u6548\u6027\uff0c\u8fd9\u7c7b\u4f3c\u4e8e\u5728\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u5173\u6ce8\u5f53\u524d\u73af\u5883\u4e2d\u7684\u65b0\u4fe1\u606f\uff0c\u4ee5\u4fbf\u53ca\u65f6\u505a\u51fa\u53cd\u5e94\u3002<\/li>\n<li>\u77e5\u89c9\u7cfb\u7edf\uff08\u73b0\u5728\uff09\u5728 Generative Agent \u4e2d\u53ef\u4ee5\u5bf9\u5e94\u4e8e\u5f53\u524d\u73af\u5883\u7684\u8f93\u5165\uff0c\u8fd9\u4e0e\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u4e2d\u7684\u611f\u77e5\u5b50\u7cfb\u7edf\u76f8\u4e00\u81f4\u3002<\/li>\n<li>\u8fd0\u52a8\u7cfb\u7edf\uff08\u672a\u6765\uff09\u53ef\u4ee5\u4e0e Generative Agent \u7684 planning \u548c reflection \u6a21\u5757\u76f8\u5173\u8054\u3002planning \u6a21\u5757\u8ba9 Agent \u4e3a\u672a\u6765\u505a\u51fa\u89c4\u5212\uff0c\u800c reflection \u6a21\u5757\u5219\u5141\u8bb8 Agent \u5bf9\u8fc7\u53bb\u7684\u8bb0\u5fc6\u8fdb\u884c\u6574\u7406\uff0c\u6784\u5efa\u9ad8\u5c42\u8ba4\u77e5\uff0c\u8fdb\u800c\u5f71\u54cd\u672a\u6765\u7684\u884c\u4e3a\u3002\u8fd9\u4e24\u4e2a\u6a21\u5757\u4e0e\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u4e2d\u7684\u884c\u52a8\u5b50\u7cfb\u7edf\u76f8\u547c\u5e94\u3002<\/li>\n<\/ul>\n<p>\u7efc\u4e0a\u6240\u8ff0\uff0cGenerative Agent \u7684\u8bbe\u8ba1\u786e\u5b9e\u4e0e\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u6709\u76f8\u4f3c\u4e4b\u5904\uff0c\u901a\u8fc7\u5c06\u8fd9\u4e9b\u6a21\u5757\u6574\u5408\u5230\u4e00\u4e2a\u7edf\u4e00\u7684\u6846\u67b6\u4e2d\uff0cAgent \u80fd\u591f\u6a21\u62df\u4eba\u7c7b\u5728\u865a\u62df\u4e16\u754c\u4e2d\u626e\u6f14\u89d2\u8272\u8fdb\u884c\u4ea4\u4e92\u3002\u8fd9\u79cd\u6574\u5408\u6709\u52a9\u4e8e\u7406\u89e3\u5927\u8111\u5982\u4f55\u5904\u7406\u548c\u6574\u5408\u6765\u81ea\u4e0d\u540c\u8ba4\u77e5\u6765\u6e90\u7684\u4fe1\u606f\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u63a5\u8fd1\u4eba\u7c7b\u7684\u667a\u80fd\u884c\u4e3a\u3002<\/p>\n<\/blockquote>\n<p>\u5f53\u7136\uff0c\u6211\u4e2a\u4eba\u5bf9\u8be5\u95ee\u9898\u7684\u8ba4\u77e5\u4e0e GPT4 \u5e76\u975e\u5b8c\u5168\u76f8\u540c\uff0c\u5305\u62ec\u6ce8\u610f\u7cfb\u7edf\u4e0e\u8fd0\u52a8\u7cfb\u7edf\u7684\u90e8\u5206\u3002\u4f46\u5176\u5b9e\u6211\u5e76\u4e0d\u4e00\u5b9a\u9700\u8981\u5c06\u6240\u6709\u4e1c\u897f\u5168\u90fd\u5448\u73b0\u51fa\u6765\uff0c\u56e0\u4e3a\u5728\u6846\u67b6\u4e0a\u5b83\u5df2\u7136\u5982\u6b64\u3002<\/p>\n<p>\u8bb0\u5fc6\u3001\u8bc4\u4f30\u3001\u53cd\u601d\u8fd9\u51e0\u5757\u7684\u8bbe\u8ba1\u901a\u8fc7 Prompt \u628a LLMs \u52a3\u5316\u6210\u4e13\u7528\u7684\u667a\u80fd\u5904\u7406\u5668\u5355\u5143\uff0c \u5e76\u7cfb\u7edf\u6027\u5b9e\u73b0\u4fe1\u606f\u7684\u6574\u5408\u4e0e\u8f93\u51fa\u3002\u4ece\u6574\u4f53\u7684\u89c2\u70b9\u4e0a\u6765\u770b\uff0cGenerative Agents \u4e2d\u7684 Agent\uff0c\u5176\u4e3b\u4f53\u6027\u5e76\u4e0d\u5728\u4e8e LLM\uff0c\u800c\u662f\u5728\u4e8e\u8fd9\u4e2a\u5b8c\u6574\u7684\u7cfb\u7edf\u3002\uff08\u76f8\u5e94\u7684\uff0cLLMs \u53ea\u662f\u8fd9\u4e2a\u7cfb\u7edf\u7684\u8fd0\u7b97\u5de5\u5177\u548c\u9648\u8ff0\u5de5\u5177\uff09<\/p>\n<p>\u200d<\/p>\n<h3>\u4f8b\u5b50\uff1aAutoGPT \u7684\u8003\u5bdf<\/h3>\n<p>\u6211\u4eec\u518d\u4ece\u76f8\u540c\u7684\u89d2\u5ea6\u8003\u5bdf AutoGPT \u8fd9\u4e00\u9879\u76ee\uff1a<\/p>\n<ul>\n<li>\u5185\u5b58\u7ba1\u7406\uff1a\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u5f3a\u8c03\u4e86\u957f\u65f6\u8bb0\u5fc6\u3001\u77ed\u65f6\u8bb0\u5fc6\u548c\u6ce8\u610f\u529b\u673a\u5236\u4e4b\u95f4\u7684\u4e92\u52a8\u3002AutoGPT \u4e2d\u7684\u957f\u671f\u548c\u77ed\u671f\u5185\u5b58\u7ba1\u7406\u4e0e\u6b64\u7c7b\u4f3c\uff0c\u9700\u8981\u667a\u80fd\u4f53\u5728\u6267\u884c\u4efb\u52a1\u65f6\u6743\u8861\u4fe1\u606f\u7684\u91cd\u8981\u6027\u3001\u65f6\u6548\u6027\u548c\u5173\u8054\u6027\uff0c\u4ee5\u4fbf\u6709\u6548\u5730\u7ec4\u7ec7\u548c\u5b58\u50a8\u4fe1\u606f\u3002<\/li>\n<li>\u4fe1\u606f\u83b7\u53d6\uff1a\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u7684\u77e5\u89c9\u7cfb\u7edf\u8d1f\u8d23\u5904\u7406\u6765\u81ea\u5916\u90e8\u7684\u4fe1\u606f\u3002AutoGPT \u901a\u8fc7\u641c\u7d22\u548c\u6d4f\u89c8\u7f51\u7ad9\u7b49\u529f\u80fd\uff0c\u83b7\u53d6\u5916\u90e8\u4fe1\u606f\uff0c\u8fd9\u4e0e\u77e5\u89c9\u7cfb\u7edf\u7684\u4f5c\u7528\u76f8\u7b26\u3002<\/li>\n<li>\u751f\u6210\u4e0e\u6267\u884c\uff1a\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba\u4e2d\u7684\u8fd0\u52a8\u7cfb\u7edf\u8d1f\u8d23\u751f\u6210\u548c\u6267\u884c\u884c\u4e3a\u3002AutoGPT \u901a\u8fc7\u591a\u79cd\u547d\u4ee4\u5b9e\u73b0\u4e86\u6587\u672c\u751f\u6210\u3001\u4ee3\u7801\u6267\u884c\u7b49\u529f\u80fd\uff0c\u4f53\u73b0\u4e86\u8fd0\u52a8\u7cfb\u7edf\u7684\u7279\u70b9\u3002<\/li>\n<\/ul>\n<p>\u540c\u65f6\uff0c\u5176\u4e5f\u5177\u6709\u5bf9\u5e94\u7684\u7f3a\u9677\uff1a<\/p>\n<ul>\n<li>AutoGPT \u7684\u957f\u671f\u8bb0\u5fc6\u5b58\u5728\u8f83\u5927\u6f0f\u6d1e\uff0c\u5e76\u6ca1\u6709\u8f83\u5f3a\u7684\u6ce8\u610f\u529b\u80fd\u529b<\/li>\n<li>AutoGPT \u4e0d\u80fd\u56f4\u7ed5\u8bb0\u5fc6\u64e2\u5347\u66f4\u9ad8\u5c42\u7684\u8ba4\u77e5\uff0c\u4ece\u800c\u8fdb\u4e00\u6b65\u6307\u5bfc\u672a\u6765\u7684\u884c\u4e3a<\/li>\n<li>AutoGPT \u7684\u8fd0\u52a8\u7cfb\u7edf\uff0c\u5373\u6267\u884c\u80fd\u529b\u53d7\u9650\u4e8e Prompt \u63d0\u4f9b\u7684\u63a5\u53e3\uff0c\u65e0\u6cd5\u81ea\u9002\u5e94\u5b8c\u6210\u66f4\u591a\u4efb\u52a1<\/li>\n<li>AutoGPT \u5bf9\u81ea\u8eab\u65e2\u5f80\u884c\u4e3a\u8ba4\u77e5\u8f83\u5dee\uff0c\u77ed\u671f\u8bb0\u5fc6\u4f9d\u8d56\u4e8e 4000 \u5b57 Context \u7a97\u53e3\uff0c\u5e76\u88ab\u7cfb\u7edf\u8f93\u5165\u5360\u636e\u5927\u534a<\/li>\n<\/ul>\n<p>\u8fd9\u4e5f\u5bf9\u5e94 AutoGPT \u867d\u7136\u770b\u4f3c\u6709\u7740\u6781\u5f3a\u7684\u80fd\u529b\uff0c\u4f46\u5b9e\u9645\u667a\u80fd\u53c8\u4e0d\u8db3\u4e3a\u5916\u4eba\u9053\u4e5f<\/p>\n<p>\u200d<\/p>\n<h2>\u6784\u5efa\u4e00\u4e2a\u4ec0\u4e48\u6837\u7684\u667a\u80fd\u7cfb\u7edf<\/h2>\n<p>\u518d\u6b21\u56de\u5f52\u6b63\u9898\uff0cGenerative Agents \u548c AutoGPT \u8fd9\u4e24\u4e2a\u77e5\u540d\u9879\u76ee\u5171\u540c\u5c06 AI \u7814\u7a76\u4ece\u5927\u6a21\u578b\u80fd\u529b\u7814\u7a76\u5bfc\u5411\u4e86\u667a\u80fd\u7cfb\u7edf\u80fd\u529b\u7814\u7a76\u3002\u800c\u6211\u4eec\u4e5f\u4e0d\u80fd\u9a7b\u8db3\u4e0d\u524d\uff0c\u6211\u4eec\u5e94\u5f53\u66f4\u79ef\u6781\u5730\u8003\u8651\u6211\u4eec\u5bf9\u4e8e\u4e00\u4e2a AI \u667a\u80fd\u4f53\u6709\u7740\u4ec0\u4e48\u6837\u7684\u9700\u6c42\uff0c\u4e5f\u5bf9\u5e94\u6211\u4eec\u9700\u8981\u6784\u5efa\u3001\u8981\u600e\u4e48\u6784\u5efa\u4e00\u4e2a\u57fa\u4e8e LLMs \u8bed\u8a00\u80fd\u529b\u7684\u53ef\u4fe1\u53ef\u7528\u7684\u667a\u80fd\u7cfb\u7edf\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u6211\u4eec\u9700\u8981\u4ece\u4e24\u4e2a\u89d2\u5ea6\u5c55\u5f00\u8003\u8651\uff0c\u4ece\u6211\u4eec\u9700\u8981\u4ec0\u4e48\u5c55\u5f00\uff0c\u5e76\u56f4\u7ed5\u6846\u67b6\u8fdb\u884c\u5ef6\u62d3<\/p>\n<p>\u200d<\/p>\n<p>\u5f53\u524d\uff0cChatGPT \u867d\u7136\u6210\u4e86\u7099\u624b\u53ef\u70ed\u7684\u660e\u73e0\uff0c\u4f46\u5374\u4f9d\u7136\u5b58\u5728\u4e00\u4e9b\u5fae\u5999\u7684\u95ee\u9898<\/p>\n<blockquote>\n<p><em>\u6765\u81ea \u5373\u523b\u7f51\u53cb \u9a6c\u4e01\u7684\u9762\u5305\u5c51<\/em><\/p>\n<p>\u89c2\u5bdf\u5230\u4e00\u4e9b\u73b0\u8c61\uff1a<\/p>\n<ol>\n<li>\u9664\u4e86\u6700\u65e9\u671f\uff0c\u6700\u6210\u719f\u7684 Jasper \u8fd9\u6837\u56f4\u7ed5\u77ed\u6587\u672c\u751f\u6210\u9886\u57df\u7684\u5e94\u7528\uff0c\u8fd8\u6ca1\u6709\u770b\u5230\u592a\u98a0\u8986\u6027\u7684\u5927\u6a21\u578b\u5e94\u7528<\/li>\n<li>\u4ece GPT-4 \u53d1\u5e03\u540e\u7684\u72c2\u6b22\uff0c\u5176\u5b9e\u662f\u5e94\u7528\u4e0a\u7684\u72c2\u6b22\uff0c\u65e0\u8bba HuggingGPT\u3001AutoGPT\u3001Generative Agent \u672c\u8d28\u4e0a\u662f\u4e00\u79cd\u201c\u73a9\u6cd5\u201d\u7684\u6316\u6398\u3002<\/li>\n<li>\u8fd9\u79cd Demo \u7ea7\u7684\u4ea7\u54c1\u5c55\u73b0\u4e86\u521b\u610f\uff0c\u4f46\u662f\u6211\u4eec\u77e5\u9053 Demo \u79bb\u6700\u7ec8\u843d\u5730\u8fd8\u6709\u975e\u5e38\u591a\u8981\u89e3\u51b3\u7684\u95ee\u9898\uff0c\u8fd9\u4e9b\u95ee\u9898\u54ea\u4e9b\u662f\u53ef\u63a7\u7684\u53ea\u9700\u8981\u5806\u65f6\u95f4\uff0c\u54ea\u4e9b\u662f\u4e0d\u53ef\u63a7\u7684\u9700\u8981\u57fa\u5ea7\u6a21\u578b\u5347\u7ea7\u76ee\u524d\u8fd8\u770b\u4e0d\u6e05\u695a\u3002<\/li>\n<li>\u53e6\u5916\u6211\u5728\u5c1d\u8bd5\u5c06\u4ed6\u878d\u5165\u6211\u7684\u5de5\u4f5c\u6d41\uff0c\u5e2e\u52a9\u6709\u9650\u3002\u6211\u8ba9\u4e00\u4e9b\u7a0b\u5e8f\u5458\u670b\u53cb\u6d4b\u8bd5 Github Copilot\uff0c\u8bc4\u4ef7\u4e0a\u4e5f\u6bd4\u8f83\u6709\u9650<\/li>\n<\/ol>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u8be5\u8ba8\u8bba\u4e2d\u6240\u5c55\u73b0\u7684\u95ee\u9898\uff0c\u5176\u6838\u5fc3\u5728\u4e8e\uff0c\u5982\u4f55\u771f\u6b63\u5c06 GPT \u6c89\u5165\u201c\u573a\u666f\u201d\u4e2d\u53bb\u3002<\/p>\n<p>\u800c\u8fd9\u624d\u662f\u771f\u6b63\u4e00\u76f4\u60ac\u800c\u672a\u51b3\u7684\u5de5\u4f5c\uff0c\u4f5c\u4e3a\u4e00\u4e2a\u6253\u5de5\u4eba\uff0c\u4f60\u771f\u6b63\u9700\u8981\u5e2e\u52a9\u7684\u90a3\u4e9b\u573a\u666f\uff0cGPT \u90fd\u662f\u7f3a\u5e2d\u7684\u3002<\/p>\n<p>\u540c\u65f6\uff0c\u8fd9\u6837\u7684\u573a\u666f\uff0c\u4ed6\u662f\u4e00\u4e2a\u6d3b\u573a\u666f\u6291\u6216\u6b7b\u573a\u666f\uff1f\u5728\u8fd9\u6837\u7684\u573a\u666f\u4e0a\uff0c\u6211\u4eec\u662f\u5426\u9700\u8981\u4e00\u4e2a\u5168\u77e5\u7684\u795e\u4e3a\u6211\u4eec\u63d0\u4f9b\u4fe1\u606f\uff1f\u8fd8\u662f\u8bf4\uff0c\u6211\u4eec\u60f3\u8981\u7684\u662f\u4e00\u4e2a\u80fd\u50cf\u6211\u4eec\u4e00\u6837\u5728\u573a\u666f\u4e2d\u83b7\u53d6\u4fe1\u606f\uff0c\u5e76\u8f85\u52a9\u6211\u4eec\u51b3\u7b56\/\u5de5\u4f5c\u7684\u4e2a\u4f53\uff1f<\/p>\n<p>\u8fd9\u4e9b\u95ee\u9898\u90fd\u5728\u6307\u5bfc\u3001\u8d28\u95ee\u6211\u4eec\u7a76\u7adf\u9700\u8981\u4e00\u4e2a\u600e\u6837\u7684\u667a\u80fd\u7cfb\u7edf\u3002<\/p>\n<p>\u200d<\/p>\n<h1>\u4e88\u667a\u80fd\u4ee5\u4fe1\u606f\uff1a\u96be\u9898\u4e0e\u5c55\u671b<\/h1>\n<p>\u56de\u5230\u6700\u5f00\u59cb\u7684\u8bdd\u9898\uff0c\u6211\u4eec\u6784\u5efa\u4e00\u4e2a\u53ef\u7528\u667a\u80fd\u7cfb\u7edf\u7684\u57fa\u5e95\uff0c\u4f9d\u65e7\u662f\u4fe1\u606f\u7cfb\u7edf<\/p>\n<p>\u6211\u4eec\u5927\u80c6\u5047\u8bbe\uff0c\u5982\u679c\u6211\u4eec\u5e0c\u671b\u6784\u5efa\u4e00\u4e2a\u8db3\u4ee5\u5e2e\u52a9\u6211\u4eec\u7684\u667a\u80fd\u7cfb\u7edf\uff0c\u5176\u9700\u8981\u62e5\u6709\u4ee5\u4e0b\u51e0\u4e2a\u5982 <a href=\"http:\/\/blog.cyasylum.top\/?p=from-ai-to-smart-system-from-llms-to-aigents-z12nswb\">\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4\u7406\u8bba<\/a> \u6240\u8ff0\u7684\u57fa\u672c\u6a21\u5757<\/p>\n<ul>\n<li>\n<p>\u77e5\u89c9\u7cfb\u7edf\uff08\u73b0\u5728\uff09<\/p>\n<\/li>\n<li>\n<p>\u5de5\u4f5c\u8bb0\u5fc6\uff08\u4e2d\u7ee7\uff09<\/p>\n<ul>\n<li>\u957f\u65f6\u8bb0\u5fc6\uff08\u8fc7\u53bb\uff09<\/li>\n<li>\u8bc4\u4f30\u7cfb\u7edf\uff08\u4ef7\u503c\uff09<\/li>\n<li>\u6ce8\u610f\u7cfb\u7edf\uff08\u5173\u6ce8\uff09<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u8fd0\u52a8\u7cfb\u7edf\uff08\u672a\u6765\uff09<\/p>\n<\/li>\n<\/ul>\n<p>\u800c\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5e0c\u671b\u5bf9\u5176\u8fdb\u884c\u9010\u4e00\u8bc4\u4f30\uff0c\u8ba8\u8bba\u4ed6\u4eec\u5404\u81ea\u5c06\u4f5c\u7528\u7684\u5f62\u5f0f\uff0c\u8ba8\u8bba\u4ed6\u4eec\u9700\u8981\u505a\u5230\u54ea\u4e00\u6b65\uff0c\u53c8\u80fd\u505a\u5230\u54ea\u4e00\u6b65\u3002<\/p>\n<p>\u200d<\/p>\n<h2>\u77e5\u89c9\u7cfb\u7edf\uff1a\u6784\u5efa AI \u53ef\u8bfb\u7684\u7ed3\u6784\u5316\u73af\u5883<\/h2>\n<p>\u200d<\/p>\n<p>\u77e5\u89c9\u7cfb\u7edf\u8d1f\u8d23\u8ba9\u667a\u80fd\u4f53\u5b9e\u73b0\u4fe1\u606f\u7684\u611f\u77e5\uff0c\u5176\u4e2d\u4e5f\u5305\u62ec\u5bf9\u590d\u6742\u8f93\u5165\u4fe1\u606f\u7684\u89e3\u6790<\/p>\n<p>\u4e3e\u4e24\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u5e76\u7531\u6b64\u5f15\u51fa\u8be5\u8bfe\u9898\u4e2d\u5b58\u5728\u7684\u96be\u9898<\/p>\n<h3>AutoGPT \u7684\u77e5\u89c9\u8bbe\u8ba1\uff1a\u7ed3\u6784\u6027\u96be\u9898<\/h3>\n<p><a href=\"http:\/\/blog.cyasylum.top\/?p=from-ai-to-smart-system-from-llms-to-aigents-z12nswb\">AutoGPT<\/a> \u6240\u4f7f\u7528\u7684 Commands \u63a5\u53e3\u4e2d\uff0c\u5c31\u6709\u5f88\u5927\u4e00\u90e8\u5206\u63a5\u53e3\u7528\u4e8e\u5b9e\u73b0\u77e5\u89c9<\/p>\n<p>\u5178\u578b\u7684\u5305\u542b Google Search &amp; Browse Website &amp; Read file<\/p>\n<ul>\n<li>\n<p>Google Search: &quot;google&quot;,<\/p>\n<ul>\n<li>args: &quot;input&quot;: &quot;<search>&quot;<\/li>\n<li>\u8fd4\u56de\u7f51\u9875\u5173\u952e\u4fe1\u606f\u4e0e\u7f51\u5740\u7684\u5339\u914d\u5217\u8868<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>Browse Website: &quot;browse_website&quot;,<\/p>\n<ul>\n<li>\n<p>args:<\/p>\n<ul>\n<li>&quot;url&quot;: &quot;<url>&quot;,<\/li>\n<li>&quot;question&quot;: &quot;&lt;what_you_want_to_find_on_website&gt;&quot;<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u8fd4\u56de\u7f51\u5740\u4e2d\u4e0e question \u76f8\u5173\u7684\u5339\u914d\u6587\u6bb5\uff08\u901a\u8fc7 embedding \u641c\u7d22\uff09<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>Read file: &quot;read_file&quot;,<\/p>\n<ul>\n<li>args: &quot;file&quot;: &quot;<file>&quot;<\/li>\n<li>\u8bfb\u53d6\u6587\u4ef6\u5e76\u89e3\u6790\u6587\u672c\u6570\u636e<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u8fd9\u4e9b\u8bbf\u95ee\u63a5\u53e3\u7531\u7a0b\u5e8f\u96c6\u66b4\u9732\u7ed9 GPT \uff0c\u5c06\u77e5\u89c9\u7cfb\u7edf\u4e2d\u5b9e\u9645\u4f7f\u7528\u7684\u5fae\u89c2\u5904\u7406\u5668\u9690\u85cf\u5728\u4e86\u7cfb\u7edf\u6846\u67b6\u4e4b\u4e0b<\/p>\n<p>AutoGPT \u6240\u5b9e\u9645\u611f\u77e5\u7684\u4fe1\u606f\u4e3a\u7eaf\u6587\u672c\u7684\u683c\u5f0f\uff0c\u5f97\u76ca\u4e8e\u4ee5\u5f00\u653e\u6027 Web \u4e3a\u57fa\u7840\u7684\u7f51\u7edc\u4e16\u754c\u73af\u5883\uff0cAutoGPT \u80fd\u8f83\u65b9\u4fbf\u5730\u901a\u8fc7\u641c\u7d22\uff08\u4f9d\u8d56\u4e8e\u641c\u7d22\u5f15\u64ce API\uff09\u548c\u89e3\u6790 html \u6587\u4ef6\uff08\u4f9d\u8d56\u4e8e\u8f6f\u4ef6\u8f85\u52a9\uff0cGPT \u96be\u4ee5\u81ea\u884c\u88c1\u526a html \u4e2d\u8fc7\u4e8e\u5197\u6742\u7684\u683c\u5f0f\u4fe1\u606f\uff09\uff0c\u4ece\u800c\u6709\u6548\u9605\u8bfb\u7edd\u5927\u591a\u6570\u4e92\u8054\u7f51\u4fe1\u606f\u3002<\/p>\n<p>\u4f46\u663e\u7136\u7684\uff0cRead file \u63a5\u53e3\u80fd\u771f\u6b63\u6709\u6548\u8bfb\u53d6\u7684\u5c31\u53ea\u6709\u7eaf\u6587\u672c\u6587\u4ef6\u6b64\u7c7b\u4e86\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u7531\u6b64\uff0c\u8fd9\u5e26\u6765\u4e86\u77e5\u89c9\u7cfb\u7edf\u8bbe\u8ba1\u7684\u7b2c\u4e00\u4e2a\u96be\u9898\uff1a<strong>\u6211\u4eec\u8981\u5982\u4f55\u9762\u5bf9\u751f\u4ea7\u73af\u5883\u4e2d\u7684\u4e00\u7cfb\u5217\u975e\u7ed3\u6784\u5316\u4fe1\u606f\uff1f\u5982\u4f55\u5bf9\u5176\u8fdb\u884c\u89c4\u8303\u548c\u6574\u7406\uff1f\u5982\u4f55\u8bbe\u8ba1\u201c\u5904\u7406\u5668\u201d\u4f7f\u5f97 GPT \u80fd\u6709\u6548\u5bf9\u5176\u8fdb\u884c\u8bfb\u53d6\uff1f<\/strong><\/p>\n<p>\u56f4\u7ed5\u8fd9\u4e00\u96be\u9898\uff0c\u6211\u4eec\u7b80\u5355\u4f8b\u4e3e\u51e0\u4e2a\u4f8b\u5b50\u6765\u8fdb\u884c\u8ba8\u8bba\uff0c\u7528\u4f5c\u629b\u7816\u5f15\u7389\uff1a<\/p>\n<ul>\n<li>\u6211\u4eec\u4ee5 Excel \u6216 Word \u7b49\u683c\u5f0f\u7f16\u5199\u6392\u7248\u7684<strong>\u7b56\u5212\u6587\u6863<\/strong>\uff0c\u8981\u5982\u4f55\u8ba9 GPT \u8bfb\u53d6\u548c\u7d22\u5f15\uff1f<\/li>\n<li>\u5982\u679c\u6211\u4eec\u5e0c\u671b\u8ba9 GPT \u638c\u63e1\u6e38\u620f\u4e2d\u7684<strong>\u5173\u5361\u4fe1\u606f<\/strong>\uff0c\u5176\u8981\u5982\u4f55\u5bf9\u5173\u5361\u7f16\u8f91\u5668\u8fdb\u884c\u7406\u89e3\uff1f<\/li>\n<li>\u5982\u679c\u6211\u4eec\u6709\u4e00\u4e2a\u6570\u5343\u884c\u7684<strong>\u4ee3\u7801\u6587\u4ef6<\/strong>\uff0c\u5982\u4f55\u8ba9 GPT \u80fd\u638c\u63e1\u5176\u7ed3\u6784\u4fe1\u606f\uff0c\u5145\u5206\u7406\u89e3\u6a21\u529f\u80fd\uff0c\u800c\u975e\u56e0\u4e3a\u8349\u7387\u8f93\u5165\u7206\u6389\u4e0a\u4e0b\u6587\u9650\u5236\uff1f<\/li>\n<li>\u5982\u679c\u6211\u4eec\u5e0c\u671b\u8ba9 GPT \u5e2e\u52a9\u6211\u4eec\u901a\u8fc7\u70b9\u51fb UI \u8981\u7d20\u81ea\u52a8\u6d4b\u8bd5\u6e38\u620f\uff0c\u6211\u4eec\u8981\u5982\u4f55\u5411\u5176\u4f20\u8fbe\u5f53\u524d\u754c\u9762 <strong>UI \u7ed3\u6784<\/strong>\uff1f\u5982\u4f55\u5411\u5176\u5c55\u793a\u6d4b\u8bd5\u8fdb\u7a0b\u548c\u73a9\u5bb6\u72b6\u6001\uff1f<\/li>\n<li>etc...<\/li>\n<\/ul>\n<p>\u7efc\u4e0a\u6240\u8ff0\uff0c\u7b2c\u4e00\u4e2a\u96be\u9898\u5c31\u662f\uff0c\u6211\u4eec\u8981\u5982\u4f55\u4e3a\u6240\u6709\u671f\u5f85\u7531 AI \u5e2e\u5fd9\u89e3\u51b3\u7684\u95ee\u9898\uff0c\u6784\u9020 AI \u80fd\u7406\u89e3\u7684\u8bed\u5883\uff0c\u5982\u4f55\u628a\u6240\u6709\u62bd\u8c61\u4fe1\u606f\u89c4\u8303\u5316\u3001\u7ed3\u6784\u5316\u5730\u50a8\u5b58\uff08\u4e0d\u6b62\u6b65\u4e8e\u6587\u672c\uff0c\u800c\u662f\u628a\u66f4\u591a\u4e1c\u897f\u6587\u672c\u5316\uff08\u987a\u4fbf\u8fd9\u91cc\u7684\u6587\u672c\u5316\u662f\u53ef\u8bfb\u5316\u7684\u610f\u601d\uff0c\u5728 GPT4 \u5b8c\u5168\u516c\u5f00\u540e\uff0c\u56fe\u50cf\u4e5f\u5c06\u6210\u4e3a\u7d22\u5f15\u4fe1\u606f\uff0c\u56e0\u6b64\u8fd9\u6bb5\u8bdd\u7684\u672c\u610f\u8fd8\u662f\u5c06\u66f4\u591a\u4e1c\u897f token \u5316\uff09\uff09<\/p>\n<p>\u200d<\/p>\n<h3>Generative Agents \u7684\u77e5\u89c9\u8bbe\u8ba1\uff1a\u5173\u8054\u6027\u96be\u9898<\/h3>\n<p>\u533a\u522b\u4e8e\u63a5\u53d7\u4e92\u8054\u7f51\u73af\u5883\u4fe1\u606f\u7684 AutoGPT\uff0cGenerative Agents \u7684\u77e5\u89c9\u7cfb\u7edf\u4ec5\u5728\u4eba\u5de5\u8d4b\u4e88 Agent \u7684\u6709\u9650\u73af\u5883\u4e2d\u751f\u6548\uff0c\u56e0\u6b64\u4e5f\u663e\u5f97\u6108\u53d1\u53ef\u63a7\u3002<\/p>\n<p>\u4e5f\u6b63\u662f\u56e0\u4e3a\u5982\u6b64\uff0c\u5bf9\u4e8e\u573a\u666f\u4e2d\u53ef\u77e5\u89c9\u7684\u4fe1\u606f\uff0c\u5728 GA \u7684\u6846\u67b6\u4e0b\u80fd\u5f97\u5230\u66f4\u6709\u6548\u7684\u7ba1\u7406<\/p>\n<blockquote>\n<p>[Agent's Summary Description]<\/p>\n<p>Eddy Lin is currently in The Lin family's house: (Eddy Lin's bedroom: desk)  that has Mei and John Lin's bedroom, Eddy Lin's bedroom, common room, kitchen, bathroom, and garden.<\/p>\n<p>Eddy Lin knows of the following areas:<\/p>\n<p>The Lin family's house, Johnson Park, Harvey Oak Supply Store, The Willows Market and Pharmacy, Hobbs Cafe, The Rose and Crown Pub.<\/p>\n<p>* Prefer to stay in the current area if the activity can be done there.<\/p>\n<p>Eddy Lin is planning to take a short walk around his workspace. Which area should Eddy Lin go to?<\/p>\n<\/blockquote>\n<p>\u5982\u4e0a\u8ff0 Prompt \u6240\u793a\uff0c\u7531\u4e8e Generative Agents \u9884\u5b9a\u4e49\u4e86\u7a7a\u95f4\u7684\u6811\u72b6\u5c42\u7ea7\u5173\u7cfb\uff0c\u8fd9\u4f7f\u5f97\u5f53\u5176\u4f5c\u4e3a\u77e5\u89c9\u7cfb\u7edf\u65f6\uff0c\u53ef\u901a\u8fc7\u5bf9\u6811\u7684\u5c42\u7ea7\u904d\u5386\u548c\u81ea\u7136\u8bed\u8a00\u62fc\u88c5\u5b9e\u73b0\u77e5\u89c9\u7cfb\u7edf\u7684\u6709\u6548\u4f20\u8fbe\u3002<\/p>\n<p>\u540c\u65f6\uff0c\u57fa\u4e8e\u6811\u72b6\u7ed3\u6784\uff0c\u8fd9\u5141\u8bb8\u4e86 Agent \u57fa\u4e8e\u81ea\u8eab\u9700\u6c42\u5728\u6811\u4e0a\u8fdb\u884c\u6df1\u5ea6\u641c\u7d22\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u8be5\u6837\u4f8b\u4f5c\u4e3a\u8865\u5145\uff0c\u8ba8\u8bba\u4e86\u6570\u636e\u7ed3\u6784\u8bbe\u8ba1\u4e2d\u5173\u8054\u6027\u548c\u7ed3\u6784\u5316\u7684\u4ef7\u503c\u3002\u4ee5\u641c\u7d22\u5f15\u64ce\u4e3a\u4f8b\uff0c\u4ec5\u901a\u8fc7\u5173\u952e\u8bcd\u5173\u8054\u8fdb\u884c\u68c0\u7d22\u7684\u8054\u7cfb\u662f\u504f\u5f31\u7684\uff0c\u4e14\u4e0d\u80fd\u4f53\u73b0\u5c42\u6b21\u4fe1\u606f\uff0c\u4ee5\u53ca\u5c42\u6b21\u4fe1\u606f\u4e2d\u8574\u542b\u7684\u77e5\u8bc6\u3002<\/p>\n<blockquote>\n<p>\u5bf9\u4e8e\u4e0a\u9762\u8fd9\u70b9\uff0c\u6211\u4eec\u4e3e\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<p>\u8fea\u5a1c\u6cfd\u9edb\u662f\u4e00\u4e2a\u56e0\u8eab\u60a3\u9b54\u9cde\u75c5\u6df1\u5c45\u7b80\u51fa\u7684 Agent\uff0c\u5979\u7684\u5bb6\u5728\u987b\u5f25\u57ce\uff0c\u6709\u4e00\u5929\u5979\u7a81\u53d1\u5947\u60f3\u5e0c\u671b\u80fd\u5728\u75c5\u901d\u4e4b\u524d\u770b\u4e00\u770b\u6d77\u3002\u5979\u901a\u8fc7\u641c\u7d22\u5f15\u64ce\u5173\u8054\u641c\u7d22\uff0c\u5e76\u627e\u5230\u4e86\u63a8\u8350\u5ea6\u6700\u9ad8\u7684\u5927\u6d77\u805a\u9999\u6d77\u5cb8\uff0c\u4e3a\u6b64\u5979\u4e0d\u8fdc\u4e07\u91cc\u6765\u5230\u4e86\u6c99\u6f20\uff0c\u4f46\u5dee\u70b9\u5728\u8def\u4e0a\u5676\u6389\u3002\u5979\u7684\u597d\u670b\u53cb\u8fea\u5e0c\u5a05\u8ffd\u4e0a\u6765\u7ed9\u4e86\u5979\u6886\u6886\u4e24\u62f3\uff0c\u8ddf\u5979\u8bf4\u4f60\u53bb\u9694\u58c1\u5965\u6469\u65af\u6e2f\u770b\u6d77\u5979\u4e0d\u9999\u5417\uff1f<\/p>\n<\/blockquote>\n<p>\u5bf9\u4e8e\u7edd\u5927\u90e8\u5206\u7684\u4fe1\u606f\uff0c\u6211\u4eec\u6240\u9700\u7684\u5e76\u4e0d\u53ea\u662f\u4fe1\u606f\u672c\u8eab\uff0c\u66f4\u5305\u542b\u5176\u4e2d\u7684\u6f5c\u5728\u7ed3\u6784\u548c\u5173\u8054\u3002\u800c\u5bf9\u4e8e\u6e38\u620f\u4e2d\u7684\u590d\u6742\u6570\u636e\u66f4\u662f\u5982\u6b64\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u8fd9\u4e3a\u6211\u4eec\u77e5\u89c9\u7cfb\u7edf\u8bbe\u8ba1\u5e26\u6765\u4e86\u7b2c\u4e8c\u4e2a\u96be\u9898\uff1a<strong>\u6211\u4eec\u8981\u5982\u4f55\u5efa\u6a21\u6211\u4eec\u8bed\u5883\u7a7a\u95f4\u4e2d\u96f6\u6563\u7684\u4fe1\u606f\uff1f\u6211\u4eec\u8981\u600e\u4e48\u901a\u8fc7\u6700\u7ed3\u6784\u5316\u6700\u6613\u8bfb\u7684\u65b9\u5f0f\u6709\u6548\u5bf9\u5176\u7d22\u5f15\uff1f\u6211\u4eec\u8981\u5982\u4f55\u5efa\u6a21\u5e76\u7528\u5de5\u7a0b\u8f85\u52a9 GPT \u7684\u7d22\u5f15\u8fc7\u7a0b\uff1f<\/strong><\/p>\n<p>\u6211\u4eec\u4f9d\u65e7\u7b80\u5355\u4e3e\u51e0\u4e2a\u4f8b\u5b50\u6765\u8fdb\u884c\u8ba8\u8bba\uff1a<\/p>\n<ul>\n<li>\u5982\u679c GPT \u80fd\u591f\u8bfb\u53d6\u6211\u4eec\u7684\u8bbe\u8ba1\u6587\u6863\uff0c\u5b83\u8981\u5982\u4f55\u6574\u5408\u591a\u4e2a\u6587\u6863\u4e4b\u95f4\u7684\u5173\u8054\uff1f\u5982\u4f55\u6784\u5efa\u7d22\u5f15\uff1f<\/li>\n<li>\u5982\u679c GPT \u8981\u9605\u8bfb\u6211\u4eec\u7684\u4ee3\u7801\u5e93\uff0c\u5176\u8981\u600e\u4e48\u5feb\u901f\u8df3\u8f6c\u5e76\u9010\u5c42\u7406\u89e3\u6a21\u5757\u3001\u529f\u80fd\u3001\u63a5\u53e3\uff1f<\/li>\n<li>\u5982\u679c\u6211\u4eec\u5e0c\u671b GPT \u4f5c\u4e3a Agent \u6765\u8fdb\u884c\u6e38\u620f\uff0cGPT \u8981\u5982\u4f55\u7ecf\u8fc7 UI \u6b65\u9aa4\u51c6\u786e\u8fdb\u5165\u7cfb\u7edf\u5c42\u7ea7\uff1f<\/li>\n<\/ul>\n<p>\u7531\u6b64\uff0c\u9664\u4e86\u6570\u636e\u672c\u8eab\u7684\u7ed3\u6784\u5316\uff08\u6307\u9ad8\u5ea6\u53ef\u8bfb\uff09\uff0c\u6570\u636e\u5e93\u7684\u7ed3\u6784\u5316\uff08\u6307\u5173\u8054\u6784\u5efa\uff09\u4e5f\u662f\u4e3a\u77e5\u89c9\u7cfb\u7edf\u670d\u52a1\u7684\u4e00\u4e2a\u91cd\u8981\u8bfe\u9898\u3002<\/p>\n<p>\u200d<\/p>\n<h3>\u77e5\u89c9\u7cfb\u7edf\u53ca\u5f00\u53d1\u6570\u636e\u73af\u5883\u7684\u6784\u5efa<\/h3>\n<p>\u8be5\u8bae\u9898\u663e\u7136\u8fd8\u53ea\u662f\u4e00\u4e2a\u5f00\u653e\u6027\u7684\u8ba8\u8bba\uff0c\u77e5\u89c9\u7cfb\u7edf\u7684\u8bbe\u8ba1\u5e76\u4e0d\u4ec5\u4ec5\u5305\u62ec\u8bbe\u8ba1\u667a\u80fd\u4f53\u4f9d\u8d56\u4ec0\u4e48\u63a5\u53e3\u8fdb\u884c\u77e5\u89c9\uff0c\u66f4\u8981\u6c42\u77e5\u89c9\u7cfb\u7edf\u4e0e\u73af\u5883\u7684\u5339\u914d\uff0c\u4ee5\u53ca\u5de5\u4f5c\u76ee\u7684\u4e0e\u73af\u5883\u7684\u5339\u914d\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4ec5\u5c31\u8fd9\u65b9\u9762\u800c\u8a00\uff0c\u4f5c\u4e3a\u4e00\u4e2a\u65b9\u5411\u6027\u7684\u5021\u8bae\uff0c\u5bf9\u77e5\u89c9\u7cfb\u7edf\u7684\u5f00\u53d1\u53ef\u80fd\u5206\u4e3a\u4ee5\u4e0b\u6b65\u9aa4<\/p>\n<p><strong>\u6570\u636e\u5904\u7406\/\u7ba1\u7406<\/strong><\/p>\n<ul>\n<li>\n<p>\u5bf9 \u529e\u516c\u6587\u4ef6\/\u6570\u636e \u6784\u5efa\u901a\u7528\u8bfb\u53d6\u63a5\u53e3<\/p>\n<\/li>\n<li>\n<p>\u4ee5\u540c\u7c7b\u4fe1\u606f\u4e3a\u5355\u4f4d\uff0c\u8bbe\u8ba1\u901a\u7528\u7684\u5b57\u6bb5\uff08\u7531\u4eba\u8bbe\u8ba1\u548c\u7ba1\u7406\uff0cAI \u80fd\u529b\u5c1a\u4e0d\u81f3\u6b64\uff09<\/p>\n<ul>\n<li>\n<p>\u4ee5\u7a0b\u5e8f API \u63a5\u53e3\u4e3a\u4f8b\uff1a\u53ef\u80fd\u5305\u542b\u4ee5\u4e0b\u5b57\u6bb5<\/p>\n<ul>\n<li>API \u63a5\u53e3\u540d<\/li>\n<li>API \u8c03\u7528\u53c2\u6570<\/li>\n<li>\u6240\u5c5e\u547d\u540d\u7a7a\u95f4<\/li>\n<li>\u6240\u5c5e\u7236\u7c7b<\/li>\n<li>API \u63a5\u53e3\u63cf\u8ff0<\/li>\n<li>API \u63a5\u53e3\u63cf\u8ff0\u5411\u91cf\uff08\u53ef\u80fd\u7528\u4e8e\u8bed\u4e49\u7d22\u5f15\uff09<\/li>\n<li>\u6e90\u6587\u4ef6\u7d22\u5f15\uff08\u7528\u4e8e\u76d1\u542c\u548c\u66f4\u65b0\uff09<\/li>\n<li>\u6e90\u4fe1\u606f\uff08\u6e90\u6587\u672c or\uff09<\/li>\n<li>etc...<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u56f4\u7ed5\u65e2\u5b9a\u7684\u901a\u7528\u5b57\u6bb5\uff0c\u4ee5\u5bf9\u8c61\u4e3a\u5355\u4f4d\uff0c\u4f9d\u9760 <strong>GPT \u7684\u6587\u672c\u80fd\u529b<\/strong>\u81ea\u5e95\u5411\u4e0a\u8fdb\u884c\u603b\u7ed3\u548c\u7f16\u7801<\/p>\n<ul>\n<li>\u6211\u4eec\u5c1d\u8bd5\u7ed9\u5b9a\u89c4\u8303\u8ba9 GPT \u81ea\u52a8\u9605\u8bfb\u4ee3\u7801\u6bb5\u5e76\u603b\u7ed3\u63a5\u53e3\uff0c\u8f6c\u5316\u4e3a bson \u6587\u4ef6<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u6784\u5efa\u5bf9\u8c61\u7d22\u5f15\u6570\u636e\u5e93<\/p>\n<ul>\n<li>\u5982\u50a8\u5b58\u8fdb mongoDB<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\uff08\u8bbe\u8ba1\u5b6a\u751f\u6570\u636e\u7684\u81ea\u52a8\u66f4\u65b0\u673a\u5236\uff09<\/p>\n<\/li>\n<\/ul>\n<p><strong>\u77e5\u89c9\u7cfb\u7edf\u9a71\u52a8<\/strong><\/p>\n<ul>\n<li>\n<p>\u57fa\u4e8e\u4e0a\u8ff0\u7d22\u5f15\u6570\u636e\u5e93\uff0c\u4ee5\u89c6\u56fe\u4e3a\u5355\u4f4d\u8fdb\u884c\u8bbf\u95ee\uff0c\u5e76\u8bbe\u8ba1 \u89c6\u56fe 2 Prompt \u7684\u8f6c\u5316\u683c\u5f0f<\/p>\n<ul>\n<li>\n<p>\u4f9d\u65e7\u4ee5 API \u63a5\u53e3\u4e3a\u4f8b\uff0c\u6211\u4eec\u5c06 AutoGPT \u7684 Command \u4fe1\u606f\u8868\u73b0\u4e3a\u4ee5\u6570\u636e\u5e93\u5f62\u5f0f\u50a8\u5b58<\/p>\n<table>\n<thead>\n<tr>\n<th>\u529f\u80fd<\/th>\n<th>\u63a5\u53e3\u540d<\/th>\n<th>\u53c2\u6570\u5217\u8868<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Google Search<\/td>\n<td>google<\/td>\n<td>&quot;input&quot;: &quot;<search>&quot;<\/td>\n<\/tr>\n<tr>\n<td>Browse Website<\/td>\n<td>browse_website<\/td>\n<td>&quot;url&quot;: &quot;<url>&quot;, &quot;question&quot;: &quot;&lt;what_you_want_to_find_on_website&gt;&quot;<\/td>\n<\/tr>\n<tr>\n<td>Start GPT Agent<\/td>\n<td>start_agent<\/td>\n<td>&quot;name&quot;: &quot;<name>&quot;, &quot;task&quot;: &quot;&lt;short_task_desc&gt;&quot;, &quot;prompt&quot;: &quot;<prompt>&quot;<\/td>\n<\/tr>\n<tr>\n<td>Message GPT Agent<\/td>\n<td>message_agent<\/td>\n<td>&quot;key&quot;: &quot;<key>&quot;, &quot;message&quot;: &quot;<message>&quot;<\/td>\n<\/tr>\n<tr>\n<td>List GPT Agents<\/td>\n<td>list_agents<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5bf9\u4e8e\u5982\u4e0a\u6570\u636e\u5e93\u4fe1\u606f\uff0c\u6211\u4eec\u5bf9\u4e8e\u4ee5\u89c6\u56fe\u4e3a\u5355\u4f4d\u8fdb\u884c\u6574\u7406\uff0c\u5c06\u5176\u8f6c\u5316\u4e3a prompt \u8f93\u5165<\/p>\n<pre><code class=\"language-undefined\">'Commands:\\n'\n'1. Google Search: &quot;google&quot;, args: &quot;input&quot;: &quot;&lt;search&gt;&quot;\\n'\n'2. Browse Website: &quot;browse_website&quot;, args: &quot;url&quot;: &quot;&lt;url&gt;&quot;, &quot;question&quot;: &quot;&lt;what_you_want_to_find_on_website&gt;&quot;\\n'\n'3. Start GPT Agent: &quot;start_agent&quot;, args: &quot;name&quot;: &quot;&lt;name&gt;&quot;, &quot;task&quot;: &quot;&lt;short_task_desc&gt;&quot;, &quot;prompt&quot;: &quot;&lt;prompt&gt;&quot;\\n'\n'4. Message GPT Agent: &quot;message_agent&quot;, args: &quot;key&quot;: &quot;&lt;key&gt;&quot;, &quot;message&quot;: &quot;&lt;message&gt;&quot;\\n'\n'5. List GPT Agents: &quot;list_agents&quot;, args: \\n'\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u5bf9\u4e8e\u5bf9\u6570\u636e\u5e93\u8fdb\u884c\u611f\u77e5\u7684\u4efb\u52a1\uff0c\u6211\u4eec\u9700\u8981\u8fdb\u4e00\u6b65\u8bbe\u8ba1 Pormpt \u9a71\u52a8 Agent \u7684\u884c\u4e3a<\/p>\n<ul>\n<li>\n<p>\u5bf9\u4e8e Agent \u5f00\u542f\u7684\u6307\u5b9a\u4efb\u52a1\u7ebf\u7a0b\uff08\u533a\u5206\u4e8e\u4e3b\u7ebf\u7a0b\u7684\u611f\u77e5\u6a21\u5757\uff09\uff0c\u5176\u8d77\u59cb Prompt \u53ef\u80fd\u5448\u8fd9\u6837\u7684\u5f62\u5f0f<\/p>\n<blockquote>\n<p>\u5982\u4e0a\u662f\u4f60\u7684\u76ee\u6807\uff0c\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u4e2a\u76ee\u6807\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u83b7\u53d6\u4e00\u7cfb\u5217\u7684\u4fe1\u606f\uff0c\u4e3a\u4e86\u5e2e\u52a9\u4f60\u83b7\u5f97\u4fe1\u606f\uff0c\u6211\u4f1a\u4e3a\u4f60\u63d0\u4f9b\u4e00\u7cfb\u5217\u7684\u7d22\u5f15\u8bbf\u95ee\u63a5\u53e3\uff0c\u8bf7\u4f60\u901a\u8fc7\u5982\u4e0b\u683c\u5f0f\u8f93\u51fa\u8bed\u53e5\u8ba9\u6211\u4e3a\u4f60\u8fd4\u56de\u4fe1\u606f\u3002<\/p>\n<p>\u6ce8\uff1a\u5982\u679c\u4f60\u8bf7\u6c42\u9519\u8bef\uff0c\u8bf7\u4f60\u9605\u8bfb\u8fd4\u56de\u7684\u62a5\u9519\u4fe1\u606f\u4ee5\u81ea\u6211\u7ea0\u6b63<\/p>\n<p>\u4f8b\uff1a<\/p>\n<p>&lt; \u901a\u8fc7\u63a5\u53e3\u540d\u79f0\u68c0\u7d22(&quot;\u63a5\u53e3\u540d\u79f0&quot;)&gt;<\/p>\n<p>&lt; \u901a\u8fc7\u63a5\u53e3\u529f\u80fd\u68c0\u7d22(&quot;\u8bbf\u95ee\u7f51\u9875&quot;)&gt;<\/p>\n<p>&lt; \u901a\u8fc7\u7236\u7ea7\u540d\u79f0\u68c0\u7d22(&quot;\u7236\u7ea7\u540d\u79f0&quot;)&gt;<\/p>\n<\/blockquote>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u4e3a GPT \u8bbe\u8ba1\u81ea\u52a8\u5316\u6307\u4ee4\u89e3\u6790\u4e0e\u6267\u884c\u6a21\u5757<\/p>\n<ul>\n<li>\u5982\u5bf9\u4e0a\u8ff0\u6570\u636e\u8bbf\u95ee\u63a5\u53e3\uff0c\u4ecd\u9700\u5339\u914d\u4e00\u5957\u81ea\u52a8\u89e3\u6790\u8bbf\u95ee\u6307\u4ee4\u5e76\u8fdb\u884c\u6570\u636e\u5e93\u68c0\u7d22\uff0c\u8fd4\u56de\u6307\u5b9a\u89c6\u56fe\u683c\u5f0f\u8f6c\u6362\u540e\u7684 Prompt\uff08\u5f53\u7136\u4e5f\u53ef\u4ee5\u662f\u5bf9\u5e94\u89c6\u56fe\u7684 bson \u8f6c json \u6587\u4ef6\uff0c\u4e0d\u4f7f\u7528\u6e90\u6570\u636e\u4ee5\u8fc7\u6ee4\u7cfb\u7edf\u4fe1\u606f\uff09<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<p>\u53ef\u4ee5\u9884\u89c1\u7684\uff0c\u57fa\u4e8e\u4e0a\u8ff0\u77e5\u89c9\u6846\u67b6\uff0c\u6211\u4eec\u80fd\u8ba9 Agent \u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5728\u8bed\u5883\u4e2d\u81ea\u52a8\u5316\u5b9e\u73b0\u57fa\u4e8e\u4efb\u52a1\u7684\u4fe1\u606f\u6536\u96c6\u3002<\/p>\n<h3>\u975e\u5de5\u7a0b\u5316\u7684\u8bd5\u9a8c\u6837\u4f8b<\/h3>\n<p>\uff08\u4f7f\u7528\u4e86\u6211\u5148\u524d\u5199\u8fc7\u7684\u5361\u724c\u6e38\u620f\uff0c\u57fa\u4e8e\u6307\u5b9a\u4efb\u52a1\u8ba9\u5176\u4e3b\u52a8\u6536\u96c6\u4fe1\u606f\u5e76\u7f16\u5199\u65b0\u7684\u6280\u80fd\u811a\u672c\uff09<\/p>\n<blockquote>\n<p>TBD\uff1a\uff08\u6240\u6709\u8282\u70b9\u90fd\u8fdb OpenAI \u5c4f\u853d\u53f7\u6bb5\u4e86\u6211\u4e5f\u5f88\u7edd\u671b\u554a\uff09<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<h2>\u5de5\u4f5c\u8bb0\u5fc6\uff1a\u7ec4\u7ec7 AI \u8bb0\u5fc6\u7cfb\u7edf<\/h2>\n<p>\u200d<\/p>\n<p>\u8bb0\u5fc6\u7cfb\u7edf\u7684\u6784\u6210\u5176\u5b9e\u76f8\u8f83\u77e5\u89c9\u7cfb\u7edf\u7b49\u66f4\u4e3a\u62bd\u8c61\uff0c\u5b83\u7528\u4e8e\u7ba1\u7406 AI \u8fd0\u884c\u65f6\u4f5c\u4e3a\u80cc\u666f\u7684\u957f\u671f\u8bb0\u5fc6\uff0c\u4ee5\u53ca\u5b9a\u4e49\u51b3\u5b9a\u4e86 AI \u5f53\u524d\u4efb\u52a1\u53ca\u76ee\u6807\u7684\u77ed\u671f\u8bb0\u5fc6\u3002<\/p>\n<p>\u4ece\u67d0\u79cd\u610f\u4e49\u4e0a\u6765\u8bf4\uff0c\u5176\u6781\u5ea6\u4f9d\u8d56\u5de5\u7a0b\u5b9e\u8df5\u4e2d\u7684\u8fed\u4ee3\uff0c\u56e0\u6b64\u6211\u73b0\u5728\u7a7a\u624b\u65e0\u51ed\uff0c\u76f8\u6bd4\u4e5f\u8bf4\u4e0d\u51fa\u4ec0\u4e48\u597d\u4e1c\u897f\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4f46\u6211\u4eec\u4f9d\u65e7\u80fd\u4ece\u524d\u4eba\u7684\u5de5\u4f5c\u4e2d\u83b7\u5f97\u4e00\u5b9a\u7684\u53c2\u8003\u3002<\/p>\n<h3>AutoGPT \u7684\u8bb0\u5fc6\u8bbe\u8ba1\uff1a\u7c97\u653e\u4f46\u6709\u6548<\/h3>\n<p>\u200d<\/p>\n<p>\u5728 \u957f\u65f6\u8bb0\u5fc6\uff08\u8fc7\u53bb\uff09\u3001\u8bc4\u4f30\u7cfb\u7edf\uff08\u4ef7\u503c\uff09\u3001\u6ce8\u610f\u7cfb\u7edf\uff08\u5173\u6ce8\uff09 \u8fd9\u4e09\u4e2a\u8981\u7d20\u4e2d\uff0cAutoGPT \u505a\u5f97\u6bd4\u8f83\u597d\u7684\u65e0\u7591\u53ea\u6709\u7b2c\u4e00\u4e2a\u3002<\/p>\n<p>AutoGPT \u7684\u6838\u5fc3\u8bb0\u5fc6\u8bbe\u8ba1\u4f9d\u8d56\u4e8e\u9884\u5305\u88c5\u7684 Prompt \u672c\u4f53\uff0c\u8fd9\u4e00\u5305\u88c5\u5305\u542b\u5982\u4e0b\u90e8\u5206\uff1a<\/p>\n<ul>\n<li>\n<p>Content\uff1a\u7528\u4e8e\u5b9a\u4e49 AI \u5f53\u524d\u7684\u72b6\u6001<\/p>\n<\/li>\n<li>\n<p>Goals\uff1a\u7528\u4e8e\u50a8\u5b58\u7528\u6237\u5b9a\u4e49\u7684 AI \u4efb\u52a1<\/p>\n<\/li>\n<li>\n<p>Constraints\uff1a\u7528\u4e8e\u544a\u8bc9 AI \u7ea6\u675f\u548c\u90e8\u5206\u884c\u4e3a\u6307\u5f15<\/p>\n<ul>\n<li>\u8ba9 AI \u901a\u8fc7\u201cthought\u201d\u8c03\u7528\u957f\u671f\u8bb0\u5fc6\u5c31\u662f\u5728\u8fd9\u91cc\u7ea6\u675f\u597d\u7684<\/li>\n<li>\u540c\u65f6\u9f13\u52b1 AI \u628a\u5f53\u524d\u7684\u8f93\u5165\u5c3d\u5feb\u5b58\u5165\u957f\u671f\u8bb0\u5fc6\u6570\u636e\u5e93<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>Commands\uff1a\u7528\u4e8e\u544a\u8bc9 AI \u5176\u53ef\u6267\u884c\u7684\u884c\u4e3a<\/p>\n<\/li>\n<li>\n<p>Resources\uff1a\u544a\u8bc9 AI \u5b83\u4e3b\u8981\u80fd\u505a\u4ec0\u4e48\uff08\u6ca1\u5565\u7528\uff09<\/p>\n<\/li>\n<li>\n<p>Performance Evaluation\uff1a\u7528\u4e8e\u63d0\u9192 AI \u81ea\u6211\u53cd\u601d<\/p>\n<\/li>\n<li>\n<p>Response Format\uff1a\u7528\u4e8e\u786e\u4fdd AI \u8f93\u51fa\u53ef\u89e3\u6790<\/p>\n<\/li>\n<\/ul>\n<p>\u800c\u5728\u8fd9\u4e2a\u9884\u5b9a\u4e49\u672c\u4f53\u4fe1\u606f\u4e4b\u4e0a\uff0c\u8fdb\u4e00\u6b65\u62fc\u8d34\u4e86\u5982\u4e0b\u8981\u7d20<\/p>\n<ul>\n<li>\u5f53\u524d\u65f6\u95f4\u6233<\/li>\n<li>\u8fc7\u53bb\u51e0\u6b65\u884c\u4e3a\u8bb0\u5f55<\/li>\n<li>\u4f9d\u636e\u201cthought\u201d\u4ece\u957f\u671f\u8bb0\u5fc6\u4e2d\u62bd\u53d6\u7684\u8bb0\u5fc6\u7247\u6bb5<\/li>\n<li>\u7528\u4e8e\u9a71\u52a8\u6267\u884c\u4e0b\u4e00\u6b65\u7684 Prompt<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<p>\u5982\u4e0a\u5f62\u5f0f\uff0cAutoGPT \u7684\u8bb0\u5fc6\u8bbe\u8ba1\u76f8\u5bf9\u7c97\u653e\uff0c\u5176\u4f9d\u8d56\u4e8e GPT \u5bf9\u6570\u636e\u5e93\u7684\u5199\u5165\uff0c\u5e76\u5c06\u7d22\u5f15\u8bb0\u5fc6\u7684\u5de5\u4f5c\u5b8c\u5168\u4ea4\u4e88\u4e86\u57fa\u4e8e\u5173\u8054\u7684\u5411\u91cf\u6570\u636e\u5e93\u7d22\u5f15\u3002<\/p>\n<p>\u4e5f\u6b63\u662f\u56e0\u4e3a\u8fd9\u4e2a\uff0c\u5728\u5b9e\u9645\u4f7f\u7528\u4e2d\uff0c\u4e0d\u4e4f\u80fd\u9047\u5230 AutoGPT \u5728\u8fd0\u884c\u4e2d\u53d1\u751f\u8bb0\u5fc6\u7d0a\u4e71\uff0c\u5f00\u59cb\u91cd\u590d\u8fdb\u884c\u4e86\u65e2\u5f80\u7684\u52b3\u52a8\u3001\u6216\u94bb\u725b\u89d2\u5c16\u505a\u4e9b\u65e0\u7528\u529f\u7684\u60c5\u666f\u3002<\/p>\n<p>\u4f46\u4ece\u53e6\u4e00\u89d2\u5ea6\uff0c\u5176\u201c\u81ea\u4e3b\u5c06\u6536\u96c6\u5230\u7684\u4fe1\u606f\u5199\u5165\u8bb0\u5fc6\u201d\u8fd9\u4e00\u529f\u80fd\u4f5c\u4e3a\u4e00\u4e2a <strong>\u4ee5\u5b8c\u6210\u4efb\u52a1\u4e3a\u76ee\u6807<\/strong> \u7684 Agent \u800c\u8a00\u65e0\u7591\u662f\u975e\u5e38\u5408\u9002\u7684\u67b6\u6784\u8bbe\u8ba1\u3002<\/p>\n<p>\u200d<\/p>\n<h3>Generative Agents \u7684\u8bb0\u5fc6\u8bbe\u8ba1\uff1a\u7cbe\u5fc3\u6784\u5efa\u7684\u91d1\u5b57\u5854<\/h3>\n<p>\u533a\u522b\u4e8e AutoGPT \u4e3b\u52a8\u5199\u5165\u7684\u8bb0\u5fc6\uff0cGenerative Agents \u7684\u8bb0\u5fc6\u6e90\u81ea\u88ab\u52a8\u7684\u65e0\u9650\u611f\u77e5\u548c\u8bb0\u5f55\uff0c\u56e0\u6b64\u663e\u5f97\u66f4\u52a0\u6ca1\u6709\u76ee\u7684\u6027\u3002\u4e5f\u6b63\u56e0\u5982\u6b64\uff0c\u5176\u9700\u8981\u4e00\u79cd\u66f4\u59a5\u5584\u7684\u7ba1\u7406\u5f62\u5f0f\u3002<\/p>\n<p>Generative Agent \u901a\u8fc7\u81ea\u52a8\u5316\u8bc4\u4f30\u8bb0\u5fc6\u7684\u4ef7\u503c\uff0c\u5e76\u6784\u5efa\u9057\u5fd8\u7cfb\u7edf\u3001\u5173\u6ce8\u7cfb\u7edf\u7b49\u7528\u4e8e\u7cbe\u51c6\u4ece\u81ea\u5df1\u7e41\u6742\u7684\u8bb0\u5fc6\u4e2d\u68c0\u7d22\u5bf9\u4e8e\u5f53\u524d\u60c5\u666f\u6709\u7528\u7684\u4fe1\u606f\u3002<\/p>\n<p>\u200d<\/p>\n<p><a href=\"assets\/2304.03442-20230410183310-5q0s9ak.pdf?p=10\" target=\"_blank\"  rel=\"nofollow\" >2304.03442.pdf - p10 - \u8bb0\u5fc6\u91d1\u5b57\u5854<\/a><br \/>\n\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202306052149260.png\" alt=\"\" \/>\u200b<\/p>\n<p>\u8fdb\u4e00\u6b65\u7684\uff0c\u5176\u901a\u8fc7\u53cd\u601d\u673a\u5236\u5f3a\u5316\u4e86\u8bb0\u5fc6\u7684\u4ef7\u503c\uff0c\u4f7f\u5f97\u9ad8\u5c42\u6d1e\u5bdf\u4ece\u65e2\u6709\u8bb0\u5fc6\u7684\u8fde\u7ed3\u4e2d\u6d8c\u73b0\uff0c\u8fd9\u4e00\u673a\u5236\u901a\u5e38\u88ab\u7528\u4e8e\u5c06 <strong>\u4fe1\u606f\u8f6c\u5316\u4e3a\u77e5\u8bc6<\/strong>\uff0c\u5e76\u6784\u5efa\u51fa\u4e86\u6709\u6548\u8bb0\u5fc6\u7684\u91d1\u5b57\u5854\u3002<\/p>\n<p>\u800c\u6beb\u65e0\u7591\u95ee\uff0c\u76f8\u5173\u7684\u6d1e\u89c1\u5bf9\u4e8e\u201c\u5b8c\u6210\u4efb\u52a1\u201d\u800c\u8a00\u4e5f\u662f\u6781\u5177\u4ef7\u503c\u7684\u3002<\/p>\n<p>\u76f8\u5173\u7684\u66f4\u6709\u6548\u7684\u8bb0\u5fc6\u7ba1\u7406\u65e0\u7591\u5f88\u5feb\u5c31\u4f1a\u88ab\u66f4\u65b0\u7684\u9879\u76ee\u5b66\u4e60\u3002<\/p>\n<p>\u200d<\/p>\n<h3>\u8bb0\u5fc6\u7cfb\u7edf\u7684\u6784\u5efa\u8ba8\u8bba\uff08\u653e\u98de\u5927\u8111\uff09<\/h3>\n<p>\u200d<\/p>\n<p>\u4f46\u4ece\u67d0\u79cd\u610f\u4e49\u4e0a\u6765\u8bf4\uff0c\u5bf9\u4e8e\u4e00\u4e2a\u6211\u4eec\u5e0c\u671b\u5176\u5e2e\u52a9\u6211\u4eec\u5de5\u4f5c\u7684\u667a\u80fd\u4f53\u800c\u8a00\uff0c\u50cf Generative Agent \u8fd9\u822c\u7684\u5de8\u5927\u6570\u636e\u5e93\u4e5f\u8bb8\u5e76\u672a\u6709\u5145\u5206\u7684\u4ef7\u503c\uff0c\u4f55\u51b5\u6211\u4eec\u6240\u8f93\u5165\u7684\u5185\u5bb9\u539f\u59cb\u5c42\u7ea7\u5c31\u8f83\u9ad8\uff08\u8fd9\u4e00\u5c42\u53ef\u80fd\u5728\u524d\u9762\u7684\u77e5\u89c9\u7cfb\u7edf\u4e2d\uff0c\u5c31\u8ba9\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7684\u9ad8\u5c42\u6d1e\u89c1\u81ea\u4e3b\u4ea7\u751f\u4e86\uff09\uff0c\u4e0d\u6613\u4e8e\u8fdb\u4e00\u6b65\u7684\u5806\u53e0\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4e5f\u8bb8\uff0c\u6211\u4eec\u66f4\u8be5\u5173\u6ce8\u7684\u662f Agent \u5bf9\u81ea\u8eab\u77ed\u671f\u8bb0\u5fc6\u7684\u7ba1\u7406\uff0c\u5373\u8ba9 Agent \u951a\u5b9a\u81ea\u8eab\u7684\u72b6\u6001\uff0c\u5e76\u81ea\u4e3b\u62bd\u8c61\u51fa\u51dd\u7ec3\u7684\u77ed\u671f\u8bb0\u5fc6\u548c\u5173\u6ce8\u65b9\u5411\u3002<\/p>\n<p>\u5728 AutoGPT \u7684\u6846\u67b6\u4e0b\uff0c\u6211\u4eec\u80fd\u6784\u5efa\u4e00\u4e2a\u4e13\u7528\u7684\u77ed\u671f\u8bb0\u5fc6\u6587\u672c\u6587\u4ef6\uff0c\u4f9b GPT \u81ea\u8eab\u7f16\u8f91\uff0c\u5bf9\u4e8e\u6bcf\u6b21\u4f1a\u8bdd\u5f00\u59cb\u65f6\uff0c\u8be5\u6587\u672c\u6587\u4ef6\u90fd\u4f1a\u81ea\u52a8\u5d4c\u5165 Prompt \u4e2d\uff0c\u4ece\u800c\u6c38\u7eed\u4fdd\u5b58\u5728 GPT \u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u5185\u3002<\/p>\n<p>\u8be5\u77ed\u671f\u8bb0\u5fc6\u4e3b\u8981\u7528\u4e8e\u8bb0\u5f55\u5f53\u524d\u76ee\u6807\u6267\u884c\u8fdb\u5ea6\uff0c\u4ee5\u53ca GPT \u5bf9\u76ee\u6807\u7684\u5b9e\u9645\u5206\u89e3\u5f62\u5f0f\u3002<\/p>\n<p>\u76f8\u5e94\u7684\uff0cGPT \u7684\u884c\u4e3a\u8bb0\u5f55\u4e5f\u80fd\u88ab\u4e0b\u653e\u81f3\u957f\u671f\u8bb0\u5fc6\u4e2d\uff0c\u6784\u6210\u884c\u4e3a\u4e0e\u50a8\u5b58\u8d44\u6599\u7684\u6570\u636e\u5bf9\uff0c\u4f7f\u5f97\u8bb0\u5fc6\u7ba1\u7406\u66f4\u52a0\u89c4\u8303\u3002\u6613\u4e8e\u5728\u8bb0\u5fc6\u5411\u91cf\u68c0\u7d22\u65f6\u53d6\u5f97\u671f\u671b\u7684\u6548\u679c\u3002<\/p>\n<p>\uff08\u6211\u672c\u8be5\u5199\u5f97\u66f4\u9760\u8c31\u4e00\u70b9\uff0c\u4f46\u6211\u5199\u5230\u8fd9\u91cc\u5df2\u7ecf\u5feb\u7d2f\u6b7b\u4e86\uff0c\u8ba9\u6211\u5f00\u6446\u7f62\uff09<\/p>\n<p>\u200d<\/p>\n<p>\u4e0d\u8fc7\u663e\u7136\uff0c\u8fd9\u90e8\u5206\u8bbe\u8ba1\u9700\u8981\u5728\u5de5\u7a0b\u4e2d\u5f97\u5230\u8fed\u4ee3\uff08\u53ef\u4ee5\u9047\u89c1\u7684\uff0c\u4ee5 AutoGPT \u7684\u70ed\u5ea6\uff0c\u534a\u4e2a\u6708\u5185\u5c31\u4f1a\u6709\u4eba\u4e3a\u5176\u8bbe\u8ba1\u76f8\u5e94\u7684 mod\u3002<\/p>\n<p>\u200d<\/p>\n<h2>\u8fd0\u52a8\u7cfb\u7edf\uff1a\u8ba9 AI \u53ef\u53ca\u4e00\u5207<\/h2>\n<p>\u200d<\/p>\n<p>\u57fa\u4e8e\u77e5\u89c9\u7cfb\u7edf\u548c\u8bb0\u5fc6\u7cfb\u7edf\uff0c\u5df2\u7ecf\u80fd\u6784\u5efa\u4e00\u4e2a\u4f7f\u7528\u8bed\u8a00\u89e3\u51b3\u95ee\u9898\u7684\u667a\u80fd\u4f53\u4e86\u3002\u4f46\u6700\u4e3a\u5173\u952e\u7684\u6539\u9020\u4e16\u754c\u90e8\u5206\u5219\u4f9d\u65e7\u7f3a\u5e2d\u3002<\/p>\n<p>\u867d\u7136\u8fd9\u4e48\u8bf4\u4e5f\u4e0d\u51c6\u786e\uff0c\u5176\u5b9e\u8fd0\u52a8\u7cfb\u7edf\u7684\u90e8\u5206\u5728\u77e5\u89c9\u7cfb\u7edf\u7684\u8ba8\u8bba\u4e2d\u5c31\u4ee5\u63d0\u53ca\u4e86\uff1a\u5bf9\u5916\u754c\u7684\u4e3b\u52a8\u4ea4\u4e92\u5e76\u611f\u77e5\uff0c\u5c31\u662f\u4e00\u79cd\u201c\u8fd0\u52a8\u201d\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u6211\u4eec\u6700\u7ec8\u603b\u4f1a\u4e0d\u6ee1\u8db3\u4e8e\u8ba9 AI \u5e2e\u52a9\u6211\u4eec\u601d\u8003\u95ee\u9898\uff0c\u6211\u4eec\u60f3\u8ba9 AI \u5e2e\u6211\u4eec\u8d70\u5b8c\u6700\u540e\u4e00\u6b65\u3002\u7531\u6b64\uff0c\u6211\u4eec\u9700\u8981\u8ba9 AI \u80fd\u4e0e\u4e16\u754c\u8fdb\u4e00\u6b65\u5730\u4e92\u52a8\u3002<\/p>\n<ul>\n<li>\u6211\u4eec\u5927\u80c6\u5047\u8bbe\u672a\u6765\u6e38\u620f\u4e2d\u7684 Agent \u80fd\u901a\u8fc7 API \u9a71\u52a8\u81ea\u8eab\u5728\u573a\u666f\u4e2d\u65e0\u62d8\u65e0\u675f\uff08\u62fc\u88c5\u884c\u4e3a\u6811<\/li>\n<li>\u518d\u5927\u80c6\u5047\u8bbe\u4ed6\u4eec\u80fd\u4f7f\u7528 API \u5b9e\u65f6\u628a\u9700\u6c42\u7684\u5185\u5bb9\u8f6c\u5316\u4e3a\u53d1\u5e03\u7ed9\u73a9\u5bb6\u7684\u4efb\u52a1\uff08\u62fc\u88c5\u4efb\u52a1\u8282\u70b9<\/li>\n<li>\u7ee7\u7eed\u5927\u80c6\u5047\u8bbe\uff0c AI \u6839\u636e\u6211\u7684\u9700\u6c42\u628a\u4eca\u5929\u8981\u914d\u7684\u5565\u6bd4\u8868\u76f4\u63a5\u914d\u5b8c\uff0c\u5f53\u573a\u4e0b\u73ed<\/li>\n<\/ul>\n<p>\uff08\u800c\u8fd9\u4e00\u5207\uff0c\u90fd\u662f\u53ef\u80fd\uff0c\u4e14\u8fd1\u5728\u773c\u524d\u7684\uff09<\/p>\n<p>\u200d<\/p>\n<p>\u800c\u8fd9\u6700\u7ec8\u53c8\u56de\u5230\u4e86\u539f\u59cb\u7684\u95ee\u9898 \u2014\u2014 <strong>\u6211\u4eec\u80fd\u7ed9 AI \u4ec0\u4e48<\/strong><\/p>\n<p>AI \u80fd\u505a\u7684\u4e00\u5207\u90fd\u57fa\u4e8e\u6211\u4eec\u7684\u8d4b\u4e88\uff0c\u5305\u62ec\u8bed\u8a00\u80fd\u529b\uff0c\u5305\u62ec\u601d\u7ef4\u80fd\u529b\uff0c\u5305\u62ec\u5bf9\u8bdd\u80fd\u529b\uff0c\u66f4\u5305\u62ec\u524d\u9762\u90a3\u4e9b\u77e5\u89c9\u548c\u8bb0\u5fc6\u7684\u80fd\u529b\u3002\u8fd0\u52a8\u4e5f\u65e0\u5916\u4e4e\u5982\u662f\uff0c\u5176\u843d\u5b9e\u5230\u4e86\u4e24\u4e2a\u95ee\u9898\u4e0a\uff1a<\/p>\n<ul>\n<li>\u5982\u4f55\u4e3a AI \u6784\u9020\u5145\u5206\u5b9e\u7528\u7684\u5de5\u5177\uff08\u9ad8\u5ea6\u5f00\u653e\u7684 API \u8bbe\u8ba1<\/li>\n<li>\u5982\u4f55\u8ba9 AI \u627e\u5230\u8db3\u591f\u8d81\u624b\u7684\u5de5\u5177\uff08\u6613\u4e8e\u68c0\u7d22\u7684 API \u5e73\u53f0<\/li>\n<li>\u5982\u679c\u8ba9 AI \u80fd\u591f\u6b63\u786e\u5730\u4f7f\u7528\u5de5\u5177\uff08\u9ad8\u9c81\u68d2\u7684 API \u6267\u884c\u5668<\/li>\n<\/ul>\n<p>\u800c\u8fd9\u5176\u4e2d\uff0c\u8fdb\u4e00\u6b65\u8981\u6c42\u8ba9 API \u53ef\u8bfb\u548c\u53ef\u7d22\u5f15\uff0c\u7531\u6b64\u56de\u5230\u6211\u4eec\u5728\u77e5\u89c9\u7cfb\u7edf\u4e2d\u7684\u8bfe\u9898\uff0c\u4e5f\u4e0d\u5fc5\u8fc7\u591a\u8d58\u8ff0\u4e86\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u5728\u7ed3\u5c3e\u5904\u91cd\u65b0\u68b3\u7406\u4e00\u4e0b\u672c\u6587\u6838\u5fc3\u8ba8\u8bba\u7684\u89c2\u70b9<\/p>\n<ul>\n<li>\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5b9e\u8d28\u662f\u4e00\u4e2a\u62e5\u6709\u667a\u80fd\u80fd\u529b\u7684\u8bed\u8a00\u8ba1\u7b97\u5668<\/li>\n<li>\u6211\u4eec\u4e0d\u8be5\u5c06\u5176\u5f53\u4f5c\u72ec\u7acb\u7684\u667a\u80fd\u4f53\u770b\u5f85\uff0c\u4f46\u80fd\u5728\u5176\u57fa\u7840\u4e0a\u901a\u8fc7\u6784\u5efa\u7cfb\u7edf\u521b\u5efa\u667a\u80fd Agent<\/li>\n<li>\u4e3a\u6b64\uff0c\u6211\u4eec\u9700\u8981\u901a\u8fc7\u4fe1\u606f\u5de5\u7a0b\uff0c\u8ba9 AI \u80fd\u591f\u771f\u6b63\u611f\u77e5\u548c\u6539\u9020\u4e16\u754c\uff0c\u4ece\u800c\u6539\u53d8\u6211\u4eec\u7684\u751f\u4ea7\u8fdb\u7a0b<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<h1>\u5bc4\u4e0e\u539a\u671b<\/h1>\n<p>\u200d<\/p>\n<p>\u611f\u8c22\u6709\u4eba\u5fcd\u53d7\u4e86\u6211\u9634\u95f4\u7684\u884c\u6587\u548c\u4e00\u8def\u8dd1\u504f\u7684\u601d\u8def\uff0c\u771f\u80fd\u770b\u5230\u8fd9\u91cc<\/p>\n<p><strong>\u7ea2\u8c46\u6ce5\u79c1\u5bc6\u9a6c\u8d5b\u897f\u5854\uff01\uff01\uff01<\/strong><\/p>\n<p>\u4ece\u67d0\u79cd\u610f\u4e49\u4e0a\uff0c\u672c\u6587\u5b9e\u9645\u4e0a\u5e76\u6ca1\u6709\u8ba8\u8bba\u4ec0\u4e48\u5b9e\u8d28\u6027\u7684\u4e1c\u897f\uff0c\u4f46\u4f5c\u4e3a\u4e00\u4e2a\u8fd1\u671f\u601d\u8def\u53d8\u5316\u7684\u603b\u7ed3\uff0c\u548c\u5bf9 AI \u672a\u6765\u53d1\u5c55\u7684\u5c55\u671b\uff0c\u4e43\u81f3\u5bf9\u672a\u6765\u751f\u4ea7\u529b\u53d1\u5c55\u7684\u5c55\u671b\u3002\u6211\u5e0c\u671b\u5b83\u6709\u4e00\u5b9a\u7684\u53c2\u8003\u4ef7\u503c\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u53ef\u4ee5\u9884\u89c1\u7684\uff0cAI \u5bf9\u4e8e\u751f\u4ea7\u7684\u4f5c\u7528\u663e\u7136\u5e76\u4e0d\u6b62\u4e8e\u6211\u4eec\u4e0a\u9762\u6240\u8ba8\u8bba\u7684\u8fd9\u4e9b\uff0c\u6211\u4eec\u4e0d\u4ec5\u5e0c\u671b\u4eba\u8981\u4e3a AI\u201c\u8d4b\u80fd\u201d\uff0c\u66f4\u5e0c\u671b AI \u80fd\u8fdb\u4e00\u6b65\u5730\u4e3a\u4eba\u8d4b\u80fd\uff1a<\/p>\n<ul>\n<li>\u901a\u8fc7 AI\u3001\u4ee5\u53ca\u5bf9\u4fe1\u606f\u7684\u7ba1\u7406\uff0c\u6211\u4eec\u80fd\u6781\u5927\u7a0b\u5ea6\u4e0a\u964d\u4f4e\u590d\u6742\u56e2\u961f\u5185\u90e8\u7684\u6c9f\u901a\u6210\u672c\u548c\u4fe1\u606f\u83b7\u53d6\u6210\u672c<\/li>\n<li>\u901a\u8fc7\u66f4\u667a\u80fd\u7684 AI\uff0c\u80fd\u66f4\u597d\u5730\u8f85\u52a9\u5185\u5bb9\u521b\u4f5c\uff0c\u8ba9\u521b\u4f5c\u8005\u628a\u6709\u9650\u7684\u751f\u4ea7\u529b\u653e\u5728\u6293\u4f4f\u66f4\u4eae\u773c\u7684 Sparks \u4e0a<\/li>\n<li>\u901a\u8fc7\u57fa\u4e8e AI \u7684\u9ad8\u5ea6\u81ea\u52a8\u5316\u6d41\u7a0b\uff0c\u4e5f\u8bb8\u6211\u4eec\u771f\u7684\u80fd\u770b\u5230\u6bcf\u4e2a\u4eba\u90fd\u80fd\u5c06\u81ea\u5df1\u7684\u7a7a\u60f3\u6240\u5177\u73b0\u5316\u7684\u672a\u6765<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<p>\u4e3a AI \u5f00\u653e\u4e00\u5207\uff0c\u4e3a AI \u63d0\u4f9b\u4fe1\u606f\uff0c\u8fd9\u4e24\u4e2a\u201c\u4e3a\u201d\u624d\u662f\u8d70\u5411 AIGC \u7684\u552f\u4e00\u660e\u8def\u3002\u662f\u8ba9 AI \u771f\u6b63\u8d70\u5165\u751f\u4ea7\uff0c\u89e3\u653e\u751f\u4ea7\u529b\u7684\u552f\u4e00\u6b63\u8def\u3002<\/p>\n<ul>\n<li>\u4f5c\u4e3a AI \u7814\u7a76\u8005\uff0c\u6211\u613f\u610f\u62ed\u76ee\u4ee5\u5f85<\/li>\n<li>\u4f5c\u4e3a\u6e38\u620f\u5f00\u53d1\u8005\uff0c\u6211\u5e0c\u671b\u79ef\u6781\u5730\u5c06\u5176\u8fd0\u7528\u5230\u6211\u7684\u751f\u4ea7\u8fc7\u7a0b\u4e2d<\/li>\n<li>\u4f5c\u4e3a\u56e2\u961f\u6210\u5458\uff0c\u6211\u671f\u76fc\u751f\u4ea7\u9769\u547d\u80fd\u4ece\u6211\u7684\u8eab\u8fb9\u6380\u8d77<\/li>\n<li>\u4f5c\u4e3a\u9a6c\u514b\u601d\u4e3b\u4e49\u8005\uff0c\u6211\u5fc5\u5c06\u63a8\u52a8\u7740\u5b83\u89e3\u653e\u4e16\u95f4\u7684\u751f\u4ea7\u529b<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<p>\u200d<\/p>\n<p>\u200d<\/p>\n<p>\u200d<\/p>\n<p>\u200d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ece AI \u5230 \u667a\u80fd\u7cfb\u7edf \u2014\u2014 \u4ece LLMs \u5230 Agents \u5148\u58f0\u593a\u4eba\uff1aAI \u65f6\u4ee3\u6700\u5927\u7684\u9677\u9631\uff0c\u5c31\u662f\u76f2\u76ee\u8003\u5bdf AI \u80fd\u4e3a\u6211\u4eec\u505a\u4ec0\u4e48\uff0c &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"emotion":"","emotion_color":"","title_style":"","license":"","footnotes":""},"categories":[41,67],"tags":[70],"class_list":["post-407","post","type-post","status-publish","format-standard","hentry","category-ai","category-67","tag-llm"],"_links":{"self":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts\/407","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/comments?post=407"}],"version-history":[{"count":6,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts\/407\/revisions"}],"predecessor-version":[{"id":465,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts\/407\/revisions\/465"}],"wp:attachment":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/media?parent=407"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/categories?post=407"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/tags?post=407"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}