{"id":21299,"date":"2024-07-22T09:22:11","date_gmt":"2024-07-22T01:22:11","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=21299"},"modified":"2024-07-22T09:22:11","modified_gmt":"2024-07-22T01:22:11","slug":"%e5%8f%af%e3%80%8c%e8%87%aa%e4%b8%bb%e8%bf%9b%e5%8c%96%e3%80%8d%e7%9a%84agent%ef%bc%9f%e9%a6%96%e4%b8%aa%e7%ab%af%e5%88%b0%e7%ab%af%e6%99%ba%e8%83%bd%e4%bd%93%e7%ac%a6%e5%8f%b7%e5%8c%96%e8%ae%ad","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2024\/07\/22\/21299\/","title":{"rendered":"\u53ef\u300c\u81ea\u4e3b\u8fdb\u5316\u300d\u7684Agent\uff1f\u9996\u4e2a\u7aef\u5230\u7aef\u667a\u80fd\u4f53\u7b26\u53f7\u5316\u8bad\u7ec3\u6846\u67b6\u5f00\u6e90\u4e86"},"content":{"rendered":"<div><img data-dominant-color=\"5092ac\" data-has-transparency=\"false\" style=\"--dominant-color: #5092ac;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-21301\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/07\/58a07d1111e6c50bcf9755cf7a166b0133c7ae-300x167-1.jpg\" width=\"300\" height=\"167\" alt=\"\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/07\/58a07d1111e6c50bcf9755cf7a166b0133c7ae-300x167-1.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/07\/58a07d1111e6c50bcf9755cf7a166b0133c7ae-300x167-1-150x84.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/div>\n<div class=\"article-desc\">\u6765\u81ea\u6ce2\u5f62\u667a\u80fd\u7684\u7814\u7a76\u56e2\u961f\u501f\u9274\u8fde\u63a5\u4e3b\u4e49\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc (connectionist learning) \u7684\u57fa\u672c\u65b9\u5f0f\uff0c\u5373\u53cd\u5411\u4f20\u64ad\u548c\u68af\u5ea6\u4e0b\u964d\u3002<\/div>\n<div id=\"postspictures\" class=\"article-content\">\n<div id=\"container\" class=\"container am-engine\" data-v-1d7a5742=\"\" data-element=\"root\">\n<p><strong>\u672c\u6587\u4e3b\u8981\u4f5c\u8005\u6765\u81ea\u6ce2\u5f62\u667a\u80fd\u3001\u6d59\u6c5f\u5927\u5b66\u3001\u548c\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u3002\u5171\u540c\u4e00\u4f5c\u4e2d\uff0c\u5468\u738b\u6625\u6f8d\u662f\u6ce2\u5f62\u667a\u80fd\u7684\u8054\u5408\u521b\u59cb\u4eba\u548c CTO\uff0c\u6b27\u7fcc\u6615\u662f\u6d59\u6c5f\u5927\u5b66\u7855\u58eb\u4e8c\u5e74\u7ea7\uff0c\u4e01\u76db\u4e3a\u4e3a\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u56db\u5e74\u7ea7\u672c\u79d1\u751f\u3002\u6587\u7ae0\u7684\u901a\u8baf\u4f5c\u8005\u4e3a\u5468\u738b\u6625\u6f8d\u548c\u59dc\u6631\u8fb0\uff0c\u59dc\u6631\u8fb0\u662f\u6ce2\u5f62\u667a\u80fd\u7684\u8054\u5408\u521b\u59cb\u4eba\u548c CEO\u3002<\/strong><\/p>\n<p>\u968f\u7740\u5404\u7c7b\u5927\u6a21\u578b API \u7684\u8fed\u4ee3\u4ee5\u53ca\u5404\u7c7b AI Agent \u6846\u67b6\u7684\u5f00\u6e90\uff0c\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u667a\u80fd\u4f53\u5728\u5b66\u672f\u754c\u548c\u5de5\u4e1a\u754c\u6536\u83b7\u4e86\u5e7f\u6cdb\u7684\u5173\u6ce8\u3001\u7814\u7a76\u3001\u548c\u5e94\u7528\u3002<\/p>\n<p>\u5c3d\u7ba1\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u667a\u80fd\u4f53 (AI Agent) \u5728\u5f88\u591a\u573a\u666f\u90fd\u53d6\u5f97\u4e86\u4e0d\u9519\u7684\u6548\u679c\uff0c\u5e76\u4e14\u5728\u4e00\u4e9b\u573a\u666f\u4e0b\u5df2\u7ecf\u80fd\u591f\u5b9e\u9645\u843d\u5730\u5e94\u7528\uff0cAI Agent \u7684\u7814\u7a76\u548c\u5f00\u53d1\u7684\u8fdb\u5c55\u4ecd\u7136\u5c40\u9650\u4e8e \u201cexpert-centric\u201d\uff0c\u6216\u8005\u8bf4 \u201cengineering-centric\u201d \u7684\u8303\u5f0f\u4e2d\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u73b0\u5728\u7684 Agent \u7684\u521b\u5efa\u548c\u8c03\u4f18\u8fc7\u7a0b\u8fd8\u662f\u51e0\u4e4e\u5b8c\u5168\u4f9d\u8d56\u4eba\u7c7b\u4e13\u5bb6 (\u7b97\u6cd5\u5de5\u7a0b\u5e08) \u7684\u4eba\u529b\u548c\u7ecf\u9a8c\u6765\u8bbe\u8ba1\u667a\u80fd\u4f53\u7684 promtps, tools\uff0c\u548c workflow\u3002\u8fd9\u6837\u7684\u8fc7\u7a0b\u8d39\u65f6\u8d39\u529b\uff0c\u5e76\u4e14\u6ce8\u5b9a\u4e86\u65e0\u6cd5\u4f7f\u7528\u6d77\u91cf\u6570\u636e\u5bf9\u667a\u80fd\u4f53\u7684\u8fd9\u4e9b\u7b26\u53f7\u5316\u5143\u7d20\u8fdb\u884c\u5b66\u4e60\u548c\u8bad\u7ec3\u3002\u800c\u5927\u90e8\u5206\u667a\u80fd\u4f53\u4f9d\u8d56\u4e8e\u95ed\u6e90\u7684 API \u8c03\u7528\uff0c\u65e0\u6cd5\u5bf9\u5927\u6a21\u578b\u57fa\u5ea7\u672c\u8eab\u8fdb\u884c\u4f18\u5316\uff0c\u5373\u4f7f\u4f7f\u7528\u5f00\u6e90\u5927\u6a21\u578b\uff0c\u5bf9\u6a21\u578b\u57fa\u5ea7\u672c\u8eab\u7684\u4f18\u5316\u4e5f\u5728\u5927\u90e8\u5206 AI \u667a\u80fd\u4f53\u7684\u5e94\u7528\u573a\u666f\u4e2d\u53d7\u5230\u8d44\u6e90\u3001\u7b97\u529b\u3001\u7a33\u5b9a\u6027\u7b49\u539f\u56e0\u800c\u65e0\u6cd5\u5b9e\u9645\u8fdb\u884c\u3002\u56e0\u6b64\u73b0\u5728\u7684\u667a\u80fd\u4f53\u8fd8\u5904\u4e8e \u201c\u4e13\u5bb6\u7cfb\u7edf\u201d \u7684\u53d1\u5c55\u9636\u6bb5\u3002<\/p>\n<p>\u4f17\u6240\u5468\u77e5\uff0c\u795e\u7ecf\u7f51\u7edc\u6210\u4e3a\u673a\u5668\u5b66\u4e60 \/ \u4eba\u5de5\u667a\u80fd\u7684\u57fa\u7840\u8303\u5f0f\u7684\u91cd\u8981\u539f\u56e0\u6b63\u662f\u56e0\u4e3a\u53ef\u4ee5\u9ad8\u6548\u5730\u4f7f\u7528\u6d77\u91cf\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\u548c\u4f18\u5316\uff0c\u800c\u4e0d\u9700\u8981\u624b\u5de5\u8bbe\u8ba1\u590d\u6742\u7684\u7ed3\u6784\u548c\u5b66\u4e60\u7b97\u6cd5\u3002\u56e0\u6b64\uff0c\u6765\u81ea\u6ce2\u5f62\u667a\u80fd\u7684\u7814\u7a76\u4eba\u5458\u4eec\u8ba4\u4e3a\uff0cAI Agent \u4ece\u4ee5\u4e13\u5bb6\u7ecf\u9a8c\u4e3a\u6838\u5fc3 (expert-centric) \u5230\u4ee5\u6570\u636e\u4e3a\u6838\u5fc3 (data-centric) \u7684\u8f6c\u53d8\uff0c\u5c06\u4f1a\u662f\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u667a\u80fd\u4f53\u7684\u4e00\u4e2a\u91cd\u8981\u53d1\u5c55\u65b9\u5411\u3002<\/p>\n<p>\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u4e2a\u76ee\u6807\uff0c\u6765\u81ea\u6ce2\u5f62\u667a\u80fd\u7684\u7814\u7a76\u56e2\u961f\u501f\u9274\u8fde\u63a5\u4e3b\u4e49\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc (connectionist learning) \u7684\u57fa\u672c\u65b9\u5f0f\uff0c\u5373\u53cd\u5411\u4f20\u64ad\u548c\u68af\u5ea6\u4e0b\u964d\uff0c\u5c06 AI Agent \u548c\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u7c7b\u6bd4\uff0c\u4f7f\u7528\u6587\u672c\u548c\u5927\u6a21\u578b\u5efa\u6a21\u635f\u5931\u51fd\u6570\u3001\u68af\u5ea6\u3001\u548c\u4f18\u5316\u5668\uff0c\u6a21\u62df\u53cd\u5411\u4f20\u64ad\u548c\u68af\u5ea6\u4e0b\u964d\u7b97\u6cd5\uff0c\u5b9e\u73b0\u5bf9 Agent \u7684\u7aef\u5230\u7aef\u7684\u7b26\u53f7\u5316\u8bad\u7ec3\u7b97\u6cd5\uff0c\u6784\u5efa\u4e86\u4e00\u5957\u53ef\u4ee5\u5bf9 AI \u667a\u80fd\u4f53\u8fdb\u884c\u7aef\u5230\u7aef\u8bad\u7ec3\u7684\u7b97\u6cd5\u6846\u67b6\uff0c\u4ee3\u7801\u5df2\u7ecf\u5f00\u6e90\u5728 GitHub\u3002<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s5.51cto.com\/oss\/202407\/20\/51aff05795a152c944f69220abd711b16a8c7d.webp\" alt=\"\u56fe\u7247\" data-type=\"inline\" \/><\/p>\n<ul data-id=\"ua73dd4b-9JIRLKL1\">\n<li data-id=\"ld70c578-C4LZlbRk\">\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/2406.18532<\/li>\n<li data-id=\"ld70c578-d1L5V9WG\">\u4ee3\u7801\u4ed3\u5e93\uff1ahttps:\/\/github.com\/aiwaves-cn\/agents<\/li>\n<\/ul>\n<p>\u5177\u4f53\u6765\u8bf4\uff0c\u56e2\u961f\u9996\u5148\u5c06\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u667a\u80fd\u4f53\u89e3\u6784\u4e3a\u4e09\u4e2a\u4e3b\u8981\u5143\u7d20\uff0c\u5373 prompts, tools, \u548c agent pipeline (workflow)\u3002\u63a5\u7740\uff0c\u6846\u67b6\u4e2d\u5c06\u4e00\u4e2a Agent \u7cfb\u7edf\u770b\u4f5c\u662f\u4e00\u4e2a \u201c\u7b26\u53f7\u5316\u201d \u795e\u7ecf\u7f51\u7edc\uff0c\u5c06 Agent workflow \u4e2d\u7684\u6bcf\u4e00\u4e2a node \u770b\u4f5c\u662f\u7f51\u7edc\u4e2d\u7684\u4e00\u4e2a layer\uff0c\u800c\u5c06\u6bcf\u4e2a\u8282\u70b9\u4e2d\u7684 prompts \u548c tools \u770b\u4f5c\u662f\u8fd9\u4e2a layer \u7684 weights\uff0c\u667a\u80fd\u4f53\u7684 workflow\/pipeline \u5219\u53ef\u4ee5\u770b\u4f5c\u662f\u7f51\u7edc\u7684\u8ba1\u7b97\u56fe\u3002\u8fd9\u6837\u4e0b\u6765\uff0c\u667a\u80fd\u4f53\u7cfb\u7edf\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u6743\u91cd\u4ece\u6570\u5b57 \/ \u5f20\u91cf\u7a7a\u95f4\u53d8\u6210\u79bb\u6563\u7b26\u53f7\u7a7a\u95f4 (\u6587\u5b57\uff0c\u4ee3\u7801\u90fd\u662f\u7b26\u53f7\u5316\u7684\u8868\u793a) \u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u800c\u8fd9\u79cd\u7f51\u7edc\u7684\u8bad\u7ec3\u81ea\u7136\u4e5f\u5c31\u53ef\u4ee5\u53c2\u8003\u4f20\u7edf\u795e\u7ecf\u7f51\u7edc\u7684\u4f18\u5316\u65b9\u5f0f\uff0c\u5373\u53cd\u5411\u4f20\u64ad\u548c\u68af\u5ea6\u4e0b\u964d\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s2.51cto.com\/oss\/202407\/20\/326cd1177f0e8af3f88012aef484e0e452792b.webp\" data-type=\"block\" \/><\/p>\n<p>\u56fe 1: Agent Symbolic Learning \u6846\u67b6\u793a\u610f\u56fe<\/p>\n<p>\u8981\u4f7f\u4f20\u7edf\u7684\u53cd\u5411\u4f20\u64ad\u548c\u68af\u5ea6\u4e0b\u964d\u80fd\u591f\u5904\u7406\u7b26\u53f7\u5316\u7684\u6743\u91cd\u7a7a\u95f4\uff0cagent symbolic learning \u6846\u67b6\u4e2d\u901a\u8fc7\u6587\u672c\u548c\u5927\u6a21\u578b + \u63d0\u793a\u8bcd\u7684\u65b9\u5f0f\u5efa\u6a21\u4e86\u635f\u5931\uff0c\u635f\u5931\u51fd\u6570\uff0c\u53cd\u5411\u4f20\u64ad\u7684\u6d41\u7a0b\uff0c\u68af\u5ea6\uff0c\u4ee5\u53ca\u57fa\u4e8e\u68af\u5ea6\u7684\u4f18\u5316\u5668\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u524d\u5411\u4f20\u64ad\u8fc7\u7a0b\u4e2d\uff0c\u6846\u67b6\u4f1a\u5c06\u6bcf\u4e00\u5c42\u7684\u8f93\u5165\u3001\u6743\u91cd\u3001\u548c\u8f93\u51fa\u90fd\u4fdd\u5b58\u5728\u8ba1\u7b97\u56fe\u4e2d\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u5927\u6a21\u578b + \u63d0\u793a\u8bcd\u7684\u65b9\u5f0f\uff0c\u5728\u63d0\u793a\u8bcd\u4e2d\u7ed3\u5408\u5f53\u524d\u6837\u672c\u7684\u8f93\u5165\uff0c\u8f93\u51fa\uff0c\u548c\u6574\u4f53\u4efb\u52a1\u7684\u63cf\u8ff0\uff0c\u4e4b\u540e\u7531\u5927\u8bed\u8a00\u6a21\u578b\u8f93\u51fa\u5bf9\u5f53\u524d\u6837\u672c\u4efb\u52a1\u5b8c\u6210\u60c5\u51b5\u7684\u8bc4\u4ef7\u548c\u603b\u7ed3\u3002\u5f97\u5230\u7684\u6587\u672c\u5f62\u5f0f\u7684\u8bc4\u4ef7 \/ \u603b\u7ed3\uff0c\u6b63\u5982\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684 loss \u4e00\u6837\uff0c\u7528\u6765\u8861\u91cf\u4efb\u52a1\u5b8c\u6210\u7684\u597d\u574f\uff0c\u7814\u7a76\u56e2\u961f\u5c06\u5176\u79f0\u4e3a \u201c\u6587\u672c\u5f62\u5f0f\u7684\u635f\u5931\u201d\uff0c\u5373 language-based loss\u3002<\/p>\n<p>\u4e4b\u540e\uff0c\u8be5\u7814\u7a76\u901a\u8fc7\u5927\u8bed\u8a00\u6a21\u578b\u548c\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u63d0\u793a\u8bcd\u5de5\u7a0b\uff0c\u6765\u751f\u6210\u667a\u80fd\u4f53\u6d41\u7a0b\u4e2d\u5bf9\u6700\u540e\u4e00\u4e2a\u8282\u70b9\u7684 \u201c\u53cd\u601d\u201d\u3002\u53cd\u601d\u4e2d\u5305\u62ec\u6a21\u578b\u7684\u8f93\u51fa\u5e94\u8be5\u600e\u6837\u53d8\u5316\u624d\u80fd\u66f4\u7b26\u5408\u8981\u6c42\uff0c\u4ee5\u53ca\u63d0\u793a\u8bcd\u548c\u5de5\u5177\u8c03\u7528\u5e94\u8be5\u5982\u4f55\u4f18\u5316\u624d\u80fd\u4f7f\u8f93\u51fa\u671d\u8fd9\u6837\u7684\u65b9\u5411\u53d1\u751f\u53d8\u5316\u3002\u8fd9\u4e00\u5185\u5bb9\u548c\u795e\u7ecf\u7f51\u7edc\u4f18\u5316\u4e2d\u68af\u5ea6\u7684\u4f5c\u7528\u521a\u597d\u4e00\u81f4\uff0c\u90fd\u662f\u5305\u542b\u4e86\u53c2\u6570\u5e94\u8be5\u5982\u4f55\u8c03\u6574\u624d\u80fd\u6700\u5c0f\u5316\u6574\u4e2a\u6a21\u578b\u7684\u635f\u5931\u7684\u4fe1\u606f\uff0c\u56e0\u6b64\u7814\u7a76\u56e2\u961f\u5c06\u8fd9\u6837\u7684\u53cd\u601d\u79f0\u4f5c \u201c\u6587\u672c\u5f62\u5f0f\u7684\u68af\u5ea6\u201d\uff0c\u5373 language-based gradient\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\u8981\u505a\u7684\u5c31\u662f\u4ece\u540e\u5411\u524d\uff0c\u5f97\u5230\u6bcf\u4e00\u5c42\u7684\u68af\u5ea6\uff0c\u8fd9\u5bf9\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u4f18\u5316\u81f3\u5173\u91cd\u8981\u3002\u53d7\u5230\u795e\u7ecf\u7f51\u7edc\u4e2d\u57fa\u4e8e\u94fe\u5f0f\u6cd5\u5219\u7684\u516c\u5f0f\u7684\u53cd\u5411\u4f20\u64ad\u7684\u542f\u53d1\uff0c\u6ce2\u5f62\u667a\u80fd\u7684\u7814\u7a76\u4eba\u5458\u901a\u8fc7\u6587\u672c\u548c\u5927\u6a21\u578b\uff0c\u7528\u4e00\u5957\u7cbe\u5fc3\u8bbe\u8ba1\u7684 prompt \u6765\u6a21\u62df\u4e86\u4f20\u7edf\u795e\u7ecf\u7f51\u7edc\u4f18\u5316\u7684\u94fe\u5f0f\u6cd5\u5219\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u8fd9\u5957 prompts \u8ba9\u5927\u6a21\u578b\u57fa\u4e8e\u4e0a\u4e00\u5c42\u7684\u68af\u5ea6\u4fe1\u606f (\u5373\u5bf9\u4e0a\u4e00\u5c42\u6267\u884c\u4efb\u52a1\u7684\u53cd\u601d) \u4ee5\u53ca\u672c\u5c42\u7684\u8f93\u5165\u3001\u8f93\u51fa\u3001\u4ee5\u53ca\u6743\u91cd (\u8fd9\u4e9b\u8f93\u5165\u548c\u53cd\u5411\u4f20\u64ad\u516c\u5f0f\u4e2d\u7684\u53c2\u6570\u5b8c\u5168\u5bf9\u5e94)\uff0c\u8f93\u51fa\u5bf9\u5f53\u524d\u8282\u70b9\u7684 prompt\/tool usage \u7684\u53cd\u601d\uff0c\u5373\u5f53\u524d\u5c42\u7684 language-based gradient\u3002\u8fd9\u6837\u57fa\u4e8e\u6587\u672c\u7684\u53cd\u5411\u4f20\u64ad\u7684\u65b9\u6848\u4f7f\u5f97\u8be5\u7814\u7a76\u80fd\u591f\u5f97\u5230\u4e00\u4e2a\u5305\u542b\u591a\u4e2a\u8282\u70b9\u548c\u590d\u6742 workflow \u7684\u667a\u80fd\u4f53\u4e2d\u6bcf\u4e00\u8282\u70b9 \/ \u5c42\u7684\u53c2\u6570\u7684\u68af\u5ea6\uff0c\u4e5f\u5c31\u53ef\u4ee5\u76f4\u63a5\u4f18\u5316\u6bcf\u4e00\u4e2a prompt \u548c tool \u5bf9\u6574\u4e2a\u667a\u80fd\u4f53\u6027\u80fd\u7684\u4f5c\u7528\uff0c\u4ece\u800c\u5b9e\u73b0 end-to-end \u7684 joint optimization\u3002<\/p>\n<p>\u6700\u540e\uff0c\u5f97\u5230\u4e86\u6bcf\u7ec4\u53c2\u6570\u7684 language-based gradient \u4e4b\u540e\uff0c\u6846\u67b6\u4e2d\u4f7f\u7528\u57fa\u4e8e\u5927\u6a21\u578b\u7684 optimizer\uff0c\u4f7f\u7528\u7cbe\u5fc3\u8bbe\u8ba1\u7684 prompt\uff0c\u4ee5\u6bcf\u4e00\u5c42\u7684\u63d0\u793a\u8bcd\u548c\u5de5\u5177\u8c03\u7528\uff0c\u4ee5\u53ca\u57fa\u4e8e\u6587\u672c\u7684\u68af\u5ea6\u4f5c\u4e3a\u8f93\u5165\uff0c\u8f93\u51fa\u4f18\u5316\u8fc7\u540e\u7684 prompts \u548c tools\uff0c\u4ece\u800c\u5b9e\u73b0\u5bf9\u667a\u80fd\u4f53\u53c2\u6570\u7684\u66f4\u65b0\u3002<\/p>\n<p>\u9664\u6b64\u4e4b\u5916\uff0c\u6846\u67b6\u4e2d\u8fd8\u652f\u6301\u4e86\u5bf9\u7f51\u7edc\u7ed3\u6784\uff0c\u5373 agent workflow \u7684\u4f18\u5316\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6846\u67b6\u4e2d\u5c06 agent workflow \u4ee5\u7279\u5b9a\u7684\u7f16\u7a0b\u8bed\u8a00\u8fdb\u884c\u8868\u793a\uff0c\u8fd9\u6837\u5c31\u5c06\u667a\u80fd\u4f53\u7f51\u7edc\u7684 \u201c\u8ba1\u7b97\u56fe\u201d \u4e5f\u5904\u7406\u6210\u4e86\u7b26\u53f7\u5316\u7684\u6743\u91cd\u3002\u4e4b\u540e\u901a\u8fc7\u4e00\u4e2a\u5355\u72ec\u8bbe\u8ba1\u7684\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u4f18\u5316\u5668\uff0c\u4ee5\u5f53\u524d\u667a\u80fd\u4f53\u7684\u5de5\u4f5c\u6d41\u548c\u5de5\u4f5c\u6d41\u4e2d\u7684\u5404\u4e2a\u8282\u70b9\u7684\u6587\u672c\u5f62\u5f0f\u7684\u68af\u5ea6\u4e3a\u8f93\u5165\u6765\u5bf9\u667a\u80fd\u4f53\u7684\u5de5\u4f5c\u6d41\u8fdb\u884c\u66f4\u65b0\u3002\u8fd9\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\u8bad\u7ec3\u4e2d\u53ef\u4ee5\u7c7b\u6bd4\u81ea\u52a8\u7f51\u7edc\u7ed3\u6784\u641c\u7d22\u76f8\u5173\u7684\u7814\u7a76\u3002<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s7.51cto.com\/oss\/202407\/20\/484a9b90922b44507cd56468c0cefe7b1326de.webp\" alt=\"\u56fe\u7247\" data-type=\"inline\" \/><\/p>\n<p>\u56fe 2: Agent Symbolic Learning \u7b97\u6cd5\u6d41\u7a0b<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s8.51cto.com\/oss\/202407\/20\/f877e72738b518e9c0207187f37f1129d19882.webp\" alt=\"\u56fe\u7247\" data-type=\"inline\" \/><\/p>\n<p>\u56fe 3 \u5927\u6a21\u578b\u8bc4\u6d4b\u4efb\u52a1\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s5.51cto.com\/oss\/202407\/20\/0888af0445758c666e3720a7aee4ae81a7837c.webp\" alt=\"\u56fe\u7247\" data-type=\"inline\" \/><\/p>\n<p>\u56fe 4 \u667a\u80fd\u4f53\u7ea7\u522b\u8bc4\u6d4b\u4efb\u52a1\u7684\u5b9e\u9a8c\u7ed3\u679c<\/p>\n<p>\u6ce2\u5f62\u667a\u80fd\u7684\u7814\u7a76\u4eba\u5458\u5728\u5927\u6a21\u578b\u548c\u667a\u80fd\u4f53\u7684\u4e00\u7cfb\u5217 benchmark \u4e0a\u5bf9\u8be5\u7b97\u6cd5\u8fdb\u884c\u4e86\u8bc4\u4f30\uff0c\u5982\u56fe 3 \u548c\u56fe 4 \u6240\u793a\uff0cagent symbolic learning \u76f8\u6bd4 DSpy \u548c\u4f20\u7edf\u7684\u6ca1\u6709\u5b66\u4e60\u80fd\u529b\u7684\u667a\u80fd\u4f53\u6846\u67b6\u76f8\u6bd4\uff0c\u5728\u5404\u7c7b\u4efb\u52a1\u4e0a\u90fd\u6709\u4e86\u660e\u663e\u7684\u63d0\u5347\uff0c\u5728\u4e00\u4e9b\u4efb\u52a1\u4e0a\u751a\u81f3\u4f7f\u7528 GPT-3.5 \u4e5f\u80fd\u548c\u5176\u4ed6\u667a\u80fd\u4f53\u6846\u67b6\u4f7f\u7528 GPT-4 \u7684\u8868\u73b0\u7c7b\u4f3c\u3002\u800c\u7b80\u5355\u7684\u5bf9\u667a\u80fd\u4f53\u4e2d\u6bcf\u4e00\u4e2a\u8282\u70b9\u4e2d\u7684\u63d0\u793a\u8bcd\u4f7f\u7528\u5c40\u90e8\u7684\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63d0\u793a\u8bcd\u81ea\u52a8\u4f18\u5316\u7b97\u6cd5 (AutoPE) \u5219\u65e0\u6cd5\u53d6\u5f97\u5f88\u660e\u663e\u7684\u6548\u679c\u3002\u53e6\u5916\uff0c\u5982\u56fe 5 \u6240\u793a\uff0c\u8be5\u7b97\u6cd5\u5728\u521b\u610f\u5199\u4f5c\u4efb\u52a1\u4e2d\uff0c\u4ece\u521d\u59cb\u7684\u53ea\u57fa\u4e8e\u4e00\u4e2a\u63d0\u793a\u8bcd\u8fdb\u884c\u5199\u4f5c\u7684\u5355\u8282\u70b9\u667a\u80fd\u4f53\uff0c\u81ea\u4e3b\u8fdb\u5316\u5230\u4e86\u652f\u6301\u5199\u4f5c + \u7f16\u8f91\u7684\u5de5\u4f5c\u6d41\uff0c\u5e76\u4e14\u5c06\u5199\u4f5c\u8282\u70b9\u7684\u63d0\u793a\u8bcd\u8fdb\u884c\u4e86\u66f4\u65b0\u548c\u4f18\u5316\u3002<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s9.51cto.com\/oss\/202407\/20\/f85893a65367e047f70207a3f3b775e27b5923.webp\" alt=\"\u56fe\u7247\" data-type=\"inline\" \/><\/p>\n<p>\u56fe 5 Agent Symbolic Learning \u6846\u67b6\u5b66\u4e60\u6548\u679c\u5c55\u793a (\u4ee5\u521b\u610f\u5199\u4f5c\u4efb\u52a1\u4e3a\u4f8b)<\/p>\n<p>\u6ce2\u5f62\u667a\u80fd\u7684\u7814\u7a76\u56e2\u961f\u4ecb\u7ecd\u4e86 Agent Symbolic Learning \u7684\u4e24\u79cd\u5e94\u7528\u573a\u666f\u3002\u9996\u5148\uff0c\u8be5\u6846\u67b6\u53ef\u4ee5\u7528\u4e8e\u5f00\u53d1\u8005\u6216\u7814\u7a76\u4eba\u5458\u521b\u5efa\u548c\u8c03\u4f18\u667a\u80fd\u4f53\u7cfb\u7edf\u4e2d\u3002\u50cf\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u4e00\u6837\uff0c\u5f00\u53d1\u8005\u548c\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u5bf9\u6307\u5b9a\u7684\u4efb\u52a1\u6536\u96c6\uff08\u6216\u8005\u4f7f\u7528\u6846\u67b6\u4e2d\u63d0\u4f9b\u7684\u81ea\u52a8\u751f\u6210\uff09\u5927\u91cf\u7684\u6837\u672c\uff0c\u4e4b\u540e\u4f7f\u7528\u8be5\u6846\u67b6\u5728\u5927\u91cf\u6570\u636e\u4e0a\u5b8c\u6210 \u201cdata-centric\u201d \u7684\u667a\u80fd\u4f53\u7684\u8bad\u7ec3\u548c\u4f18\u5316\uff0c\u5728\u4e4b\u540e\u50cf\u666e\u901a\u667a\u80fd\u4f53\u7684\u90e8\u7f72\u4e00\u6837\uff0c\u5728\u4ea7\u54c1\u751f\u4ea7\u73af\u5883\u4e2d\u4ee5\u9759\u6001\u7684\u65b9\u5f0f\u90e8\u7f72\u4f18\u5316\u8fc7\u540e\u7684\u667a\u80fd\u4f53\u3002<\/p>\n<p>\u9664\u6b64\u4e4b\u5916\uff0c\u8be5\u6846\u67b6\u7684\u53e6\u4e00\u4e2a\u91cd\u8981\u5e94\u7528\u573a\u666f\u662f\u652f\u6301\u80fd\u591f\u5728\u73af\u5883 \/ \u4ea4\u4e92\u4e2d\u81ea\u4e3b\u8fdb\u5316\u7684 Agent\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u56e0\u4e3a\u8be5\u8bad\u7ec3\u6846\u67b6\u672c\u8eab\u53ea\u9700\u8981\u8c03\u7528\u5927\u6a21\u578b\u7684\u80fd\u529b\u800c\u4e0d\u9700\u8981\u590d\u6742\u7684\u57fa\u4e8e GPU \u7684\u8bad\u7ec3\u548c\u90e8\u7f72\uff0c\u56e0\u6b64\u4e00\u4e2a Agent \u53ef\u4ee5\u5c06\u8be5\u8bad\u7ec3\u6846\u67b6\u4f5c\u4e3a\u5176\u81ea\u8eab\u53ef\u4ee5\u8c03\u7528\u7684\u4e00\u4e2a\u5de5\u5177\uff0c\u901a\u8fc7\u5728\u73af\u5883\u4e2d\u63a2\u7d22\u6216\u8005\u548c\u4eba\u7c7b\u8fdb\u884c\u4ea4\u4e92\u7684\u8fc7\u7a0b\u4e2d\uff0c\u4e0d\u65ad\u6536\u96c6\u65b0\u7684\u8bad\u7ec3\u6837\u672c\uff0c\u5b9a\u671f\u6216\u8005\u4e3b\u52a8\u8c03\u7528\u667a\u80fd\u4f53\u8bad\u7ec3\u7684\u7b97\u6cd5\u5de5\u5177\uff0c\u5bf9\u81ea\u8eab\u7684 prompts, tools, \u548c workflow \u8fdb\u884c\u66f4\u65b0\u3002\u6ce2\u5f62\u667a\u80fd\u5728 AIWaves Agents \u7684\u5f00\u6e90\u4ee3\u7801\u5e93\u4e2d\u4e5f\u652f\u6301\u4e86\u8fd9\u6837\u7684\u90e8\u7f72\u903b\u8f91\uff0c\u5b9e\u73b0\u4e86\u9996\u4e2a\u53ef\u4ee5\u5728\u88ab\u90e8\u7f72\u5230\u5b9e\u9645\u4ea7\u54c1\u548c\u751f\u4ea7\u73af\u5883\u4e2d\u4e4b\u540e\uff0c\u4f9d\u7136\u53ef\u4ee5\u4e0d\u65ad\u81ea\u4e3b\u8fdb\u5316\u3001\u81ea\u6211\u8fed\u4ee3\u7684\u667a\u80fd\u4f53\u7cfb\u7edf\u3002<\/p>\n<p>Agent Symbolic Learning \u6846\u67b6\u5c06 AI Agent \u89c6\u4f5c\u7531\u590d\u6742 workflow \u4e2d\u7684 prompts \u548c tools \u8fde\u63a5\u800c\u6210\u7684\u7b26\u53f7\u5316 \u201c\u795e\u7ecf\u7f51\u7edc\u201d\uff0c\u901a\u8fc7\u57fa\u4e8e\u81ea\u7136\u8bed\u8a00\u6a21\u62df\u53cd\u5411\u4f20\u64ad\u548c\u68af\u5ea6\u4e0b\u964d\uff0c\u4f7f\u5f97\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u667a\u80fd\u4f53\u53ef\u4ee5\u81ea\u4e3b\u5bf9\u81ea\u8eab\u7684 \u201c\u7f51\u7edc\u53c2\u6570\u201d\uff0c\u5373 prompts \u548c tools\uff0c\u4ee5\u53ca \u201c\u7f51\u7edc\u7ed3\u6784\u201d\uff0c\u5373 agent workflow\uff0c\u8fdb\u884c\u4f18\u5316\uff0c\u4ece\u800c\u5b9e\u73b0\u4e86\u80fd\u591f\u9ad8\u6548\u5229\u7528\u5927\u91cf\u6570\u636e\u548c\u7ecf\u9a8c\uff0c\u8fdb\u884c \u201cdata-centric learning\u201d \u7684\u667a\u80fd\u4f53\u6846\u67b6\uff0c\u8ba9\u80fd\u591f\u6301\u7eed\u81ea\u4e3b\u8fdb\u5316\u7684\u667a\u80fd\u4f53\u7cfb\u7edf\u53d8\u6210\u4e86\u53ef\u80fd\u3002\u76ee\u524d\uff0c\u8be5\u6846\u67b6\u5df2\u7ecf\u5728\u6ce2\u5f62\u667a\u80fd\u7684\u591a\u4e2a\u4ea7\u54c1\u548c\u5e94\u7528\u4e2d\u53d1\u6325\u4f5c\u7528\uff0c\u89e3\u51b3\u4e86 Agent \u4eba\u5de5\u4f18\u5316\u548c\u8bc4\u6d4b\u56f0\u96be\u7684\u95ee\u9898\u3002\u4e3a\u4e86\u63a8\u8fdb \u201cData-centric Agent\u201d \u548c \u201cAgent Learning\u201d \u7684\u53d1\u5c55\u548c\u7814\u7a76\uff0c\u6ce2\u5f62\u667a\u80fd\u7684\u7814\u7a76\u56e2\u961f\u4e5f\u5c06\u7b97\u6cd5\u7684\u5168\u90e8\u4ee3\u7801\u5f00\u6e90\uff0c\u671f\u5f85\u667a\u80fd\u4f53\u9886\u57df\u5b66\u672f\u754c\u548c\u5de5\u4e1a\u754c\u4e00\u8d77\u63a2\u7d22\u66f4\u591a\u66f4\u6709\u8da3\u7684\u7b97\u6cd5\u548c\u5e94\u7528\u3002<\/p>\n<\/div>\n<\/div>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_21299\" class=\"pvc_stats total_only  \" 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