{"id":40268,"date":"2025-04-28T21:02:59","date_gmt":"2025-04-28T13:02:59","guid":{"rendered":"https:\/\/17aitech.com\/?p=40268"},"modified":"2025-04-28T21:02:59","modified_gmt":"2025-04-28T13:02:59","slug":"iclr-2025%ef%bc%9a%e9%a1%b6%e5%b0%96%e7%a7%91%e5%ad%a6%e5%ae%b6%e6%9c%80%e5%85%b3%e5%bf%83%e7%9a%84-ai-%e8%b6%8b%e5%8a%bf%e6%9c%89%e5%93%aa%e4%ba%9b%ef%bc%9f%e4%b8%a8gair-live","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=40268","title":{"rendered":"ICLR 2025\uff1a\u9876\u5c16\u79d1\u5b66\u5bb6\u6700\u5173\u5fc3\u7684 AI \u8d8b\u52bf\u6709\u54ea\u4e9b\uff1f\u4e28GAIR Live"},"content":{"rendered":"<p>\u81ea GPT-4 \u53d1\u5e03\u81f3\u4eca\u5df2\u6709\u4e24\u5e74\uff0c\u4f46\u5bf9\u5927\u8bed\u8a00\u6a21\u578b\u7684\u7814\u7a76\u5e76\u6ca1\u6709\u653e\u7f13\uff0c\u6211\u4eec\u4ecd\u5904\u5728\u4e00\u4e2a\u6280\u672f\u8fdb\u6b65\u6d8c\u73b0\u7684\u65f6\u4ee3\u3002Anthropic \u4e8e 2024 \u5e7411\u6708\u53d1\u5e03 MCP\uff0c\u6210\u4e3a\u63a5\u901a AI \u751f\u6001\u7684\u6865\u6881\uff0c\u81ea\u4e3b\u7684 Agent \u5de5\u4f5c\u6d41\u8ddd\u6211\u4eec\u66f4\u8fdb\u4e00\u6b65\u3002GPT-4o\u3001GPT-4.1\u65f6\u9694\u4ec5\u4e00\u4e2a\u6708\u5148\u540e\u53d1\u5e03\uff0c\u5b9e\u73b0\u4e0a\u4e0b\u6587\u5904\u7406\u80fd\u529b\u516b\u500d\u63d0\u5347\u3002\u5728\u56fd\u5185\uff0cDeepSeek \u51ed\u501fFP8 \u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u5f15\u53d1\u884c\u4e1a\u9707\u52a8\uff0cManus\u53d1\u5e03\u53f7\u79f0\u5168\u7403\u9996\u6b3e\u901a\u7528Agent\uff0c\u5148\u540e\u5728\u4eca\u5e74\u5e74\u521d\u6380\u8d77\u5168\u6c11AI\u70ed\u6f6e\u3002<\/p>\n<p>\u524d\u6cbf\u65b9\u5411\u5c1a\u672a\u6536\u655b\uff0c\u6280\u672f\u7a81\u7834\u7eb7\u81f3\u6c93\u6765\u3002\u4ee5\u6708\u4e3a\u5355\u4f4d\u7684\u6280\u672f\u8fed\u4ee3\u4e0b\uff0c\u5982\u4f55\u770b\u6e05AI\u884c\u4e1a\u7684\u6700\u65b0\u8d8b\u52bf\uff1f<\/p>\n<p>2025\u5e744\u670826\u65e5\uff0c\u96f7\u5cf0\u7f51\u3001AI\u79d1\u6280\u8bc4\u8bba GAIR Live \u54c1\u724c\u4e3e\u529e\u4e86\u4e00\u573a\u4e3b\u9898\u4e3a \u201c\u9876\u5c16\u79d1\u5b66\u5bb6\u804a 2025 ICLR \u6700\u8fd1\u8d8b\u52bf\u201d \u7684\u7ebf\u4e0a\u5706\u684c\u6c99\u9f99\u3002<\/p>\n<p>\u5706\u684c\u4e3b\u6301\u4eba\u4e3a\u96f7\u5cf0\u7f51<span style=\"color:#FD5D3C\">(\u516c\u4f17\u53f7\uff1a\u96f7\u5cf0\u7f51)<\/span>\u9ad8\u7ea7\u4e3b\u7f16\u9a6c\u6653\u5b81\uff0c\u5e76\u9080\u8bf7\u4e86\u5357\u6d0b\u7406\u5de5\u5927\u5b66\u6821\u957f\u8bb2\u5e2d\u6559\u6388\uff0c\u4eba\u5de5\u667a\u80fd\u7cfb\u4e3b\u4efb\uff0c\u4eba\u5de5\u667a\u80fd\u4ea4\u53c9\u7814\u7a76\u9662\u9662\u957f\u5b89\u6ce2\u3001\u6d59\u6c5f\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662\u767e\u4eba\u8ba1\u5212\u7814\u7a76\u5458\u8d75\u4fca\u535a\u3001\u6e05\u534e\u5927\u5b66AIR\u7814\u7a76\u9662\u52a9\u7406\u6559\u6388\u8d75\u660a\u3001\u57c3\u9ed8\u91cc\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u526f\u6559\u6388\u5218\u83f2\uff0c\u5171\u540c\u5f00\u542f\u4e86\u4e00\u573a\u6df1\u5ea6\u5bf9\u8bdd\u3002<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-494e0c1db347d52107dd34fa38e52a15.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-494e0c1db347d52107dd34fa38e52a15.jpeg\"><\/a><\/p>\n<p>\u4ea4\u8c08\u8fc7\u7a0b\u4e2d\uff0c\u5609\u5bbe\u4eec\u56f4\u7ed5AI\u6280\u672f\u52a0\u901f\u8fed\u4ee3\u4e0b\uff0cLLM\u51b3\u7b56\u7cfb\u7edf\u53d1\u5c55\u53ca\u5e94\u7528\u65b9\u5411\u3001Agent\u524d\u6cbf\u8d8b\u52bf\u3001Scaling Law\u7684\u524d\u666f\u3001Diffusion\u53ca\u65b0\u6a21\u578b\u67b6\u6784\u7684\u53ef\u80fd\u6027\u7b49\u591a\u4e2a\u65b9\u9762\u53d1\u8868\u4e86\u72ec\u5230\u89c1\u89e3\u3002<\/p>\n<p>\u4eceGPT-4\u5f00\u59cb\uff0c\u66f4\u5927\u89c4\u6a21\u3001\u66f4\u9ad8\u8d28\u91cf\u7684\u6837\u672c\u4f7f\u6a21\u578b\u667a\u529b\u4e0d\u65ad\u63d0\u5347\uff0cLLM\u7684\u80fd\u529b\u8fb9\u754c\u9010\u6b65\u62d3\u5c55\u3002\u7136\u800c\uff0c\u6570\u636e\u67af\u7aed\u7684\u9690\u5fe7\u4e5f\u5f98\u5f8a\u5728Scaling Law\u7684\u8def\u5f84\u5c3d\u5934\u3002\u4e0d\u4e45\u524d\uff0cDavid Silver\u548cRichard S. Sutton\u4e24\u4f4d\u9876\u5c16\u4eba\u5de5\u667a\u80fd\u6280\u672f\u4e13\u5bb6\u8054\u5408\u53d1\u8868\u8bba\u6587\uff0c\u6307\u51fa\u4ece\u4eba\u7c7b\u6570\u636e\u4e2d\u63d0\u53d6\u7684\u77e5\u8bc6\u6b63\u8fc5\u901f\u63a5\u8fd1\u6781\u9650\uff0c\u9ad8\u8d28\u91cf\u6570\u636e\u6e90\u5927\u591a\u5373\u5c06\u8017\u5c3d\u3002<\/p>\n<p>Scaling Law\u662f\u5426\u5df2\u7ecf\u8d70\u5230\u5c3d\u5934\uff1f<\/p>\n<p>\u5bf9\u6b64\uff0c\u8d75\u4fca\u535a\u8868\u793a\u9700\u8981\u5bf9\u4e0d\u540c\u9886\u57df\u5206\u522b\u8003\u8651\u3002\u9ad8\u8d28\u91cf\u6570\u636e\u7684\u8017\u7aed\u5df2\u6210\u5b9a\u5c40\uff0c\u9884\u8bad\u7ec3\u9996\u5f53\u5176\u51b2\u3002\u201c\u4eba\u7c7b\u6700\u9ad8\u8d28\u91cf\u7684\u4e00\u6279token\u52a0\u8d77\u6765\u670910~15T\uff0cDeepSeek-V3\u7528\u4e8614.8T\u3002\u5728\u8fd915T\u6570\u636e\u7684\u57fa\u7840\u4e0a\uff0c\u5982\u679c\u63a5\u53d7\u6bd4\u8f83\u9ad8\u8d28\u91cf\u7684\u5408\u6210\u6570\u636e\uff0c\u518d\u628a\u6570\u636e\u8d28\u91cf\u7684\u95e8\u5f00\u5f97\u7a0d\u5fae\u5927\u4e00\u70b9\uff0c\u5dee\u4e0d\u591a\u80fd\u6269\u5c55\u523025~30T\uff0c\u518d\u5f80\u4e0a\u5c31\u5f88\u96be\u6709\u66f4\u591a\u7684\u6570\u636e\u585e\u8fdb\u6765\u4e86\u3002\u201d<\/p>\n<p>\u6709\u4e1a\u5185\u4eba\u58eb\u5411AI\u79d1\u6280\u8bc4\u8bba\u6307\u51fa\uff0c\u5f53\u524d\u5927\u6a21\u578b\u53ca\u5927\u6a21\u578b\u4ea7\u54c1\u53d1\u5c55\u7684\u6280\u672f\u6e90\u52a8\u529b\u4ecd\u4e3a\u9884\u8bad\u7ec3\uff0c\u5b83\u76f4\u63a5\u5173\u7cfb\u5230\u6a21\u578b\u7684\u667a\u529b\u6c34\u5e73\u300225~30T\u662f\u9884\u8bad\u7ec3\u6570\u636e\u7684\u4e0a\u9650\uff0c\u4e5f\u6216\u5c06\u6210\u4e3aLLM\u7684\u5929\u82b1\u677f\u3002<\/p>\n<p>\u5f53\u7b97\u529b\u548c\u6837\u672c\u4e0d\u8db3\u4ee5\u7b51\u8d77\u8d70\u5411AGI\u7684\u901a\u5929\u5854\uff0c\u6280\u672f\u5c42\u7684\u521b\u65b0\u70b9\u4f1a\u6210\u4e3aAI\u884c\u4e1a\u8fc8\u5411\u4e0b\u4e2a\u53f0\u9636\u7684\u5173\u952e\u4e00\u62db\u3002<\/p>\n<p>\u56de\u5934\u518d\u770b\uff0c\u5218\u83f2\u5bf9\u6709\u9650\u6570\u636e\u7684\u5206\u914d\u63d0\u51fa\u4e86\u8ffd\u95ee\u3002\u201c\u73b0\u5728\u5927\u5bb6\u5728\u505a\u57fa\u7840\u6a21\u578b\u7684\u65f6\u5019\uff0c\u57fa\u672c\u4e0a\u662f\u628a\u80fd\u591f\u62ff\u5230\u7684\u65e0\u8bba\u662f\u6587\u672c\u8fd8\u662f\u5176\u5b83\u6a21\u6001\u7684\u4fe1\u606f\uff0c\u51e0\u4e4e\u662f\u4e00\u80a1\u8111\u5730\u653e\u5728\u9884\u8bad\u7ec3\u5f53\u4e2d\u3002\u7136\u540e\u5728\u540e\u8bad\u7ec3\u9636\u6bb5\uff0c\u5bf9\u4e8e\u4e0d\u540c\u7684\u9886\u57df\uff0c\u4f1a\u6709\u4e13\u95e8\u7684\u6570\u636e\u3002\u5176\u5b9e\u6211\u4eec\u53ef\u4ee5\u91cd\u65b0\u601d\u8003\u4e00\u4e0b\u8fd9\u4e2a\u95ee\u9898\uff0c\u6709\u6ca1\u6709\u53ef\u80fd\u6709\u4e00\u79cd\u6bd4\u8f83\u597d\u7684\u65b9\u6cd5\uff0c\u80fd\u591f\u628a\u6570\u636e\u5728\u9884\u8bad\u7ec3\u548c\u540e\u8bad\u7ec3\u4e2d\u5408\u7406\u5730\u5206\u914d\uff0c\u6700\u5927\u5316\u5730\u63d0\u9ad8\u6a21\u578b\u80fd\u529b\u3002\u201d<\/p>\n<p>\u4efb\u52a1\u521b\u65b0\u540c\u6837\u5bcc\u4e8e\u6f5c\u529b\u3002Predict the next word\u4e00\u76f4\u662f\u8bad\u7ec3\u5927\u8bed\u8a00\u6a21\u578b\u7684\u51fa\u53d1\u70b9\uff0c\u4ee5\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u4e3a\u5bfc\u5411\uff0c\u6a21\u578b\u6027\u80fd\u5b9e\u73b0\u4e86\u901f\u5ea6\u3001\u6307\u4ee4\u9075\u5faa\u3001\u63a8\u7406\u80fd\u529b\u7b49\u65b9\u9762\u7684\u5168\u65b9\u4f4d\u63d0\u5347\u3002\u5218\u83f2\u63d0\u51fa\uff1a\u201c\u73b0\u5728\u6211\u4eec\u80fd\u4e0d\u80fd\u901a\u8fc7\u5728\u4efb\u52a1\u4e0a\u7684\u521b\u65b0\uff0c\u63d0\u51fa\u65b0\u7684task\uff0c\u5e2e\u52a9\u6211\u4eec\u63d0\u9ad8\u6a21\u578b\u7684\u540e\u8bad\u7ec3\u6548\u679c\uff0c\u6216\u8005\u6a21\u578b\u5728\u67d0\u4e00\u4e2a\u9886\u57df\u9700\u8981\u7684\u7279\u5b9a\u80fd\u529b\u3002\u201d<\/p>\n<p>\u4ee5\u4e0b\u662f\u6b64\u6b21\u5706\u684c\u8ba8\u8bba\u7684\u7cbe\u5f69\u5206\u4eab\uff0cAI\u79d1\u6280\u8bc4\u8bba\u8fdb\u884c\u4e86\u4e0d\u6539\u539f\u610f\u7684\u7f16\u8f91\u6574\u7406\uff1a<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_78 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" 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ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/17aitech.com\/?p=40268\/#%E6%A8%A1%E5%9E%8B%E6%9E%B6%E6%9E%84%E5%B0%9A%E6%9C%AA%E6%94%B6%E6%95%9B%EF%BC%8CDiffusion_%E6%9C%AA%E6%9D%A5%E5%8F%AF%E6%9C%9F\" >\u6a21\u578b\u67b6\u6784\u5c1a\u672a\u6536\u655b\uff0cDiffusion \u672a\u6765\u53ef\u671f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/17aitech.com\/?p=40268\/#Agent_%E7%9A%84%E6%9C%BA%E9%81%87%E5%92%8C%E6%8C%91%E6%88%98\" >Agent \u7684\u673a\u9047\u548c\u6311\u6218<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E6%8A%80%E6%9C%AF%E8%BF%AD%E4%BB%A3%EF%BC%8CAI_%E2%80%9C%E7%8B%82%E9%A3%99%E2%80%9D\"><\/span>\u6280\u672f\u8fed\u4ee3\uff0cAI \u201c\u72c2\u98d9\u201d<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI\u79d1\u6280\u8bc4\u8bba\uff1a\u8fd9\u6b21\u6211\u4eec\u6c99\u9f99\u7684\u4e3b\u9898\u662f\u9876\u5c16\u79d1\u5b66\u5bb6\u804a 2025 ICLR \u7684\u6700\u65b0\u8d8b\u52bf\u3002\u6211\u4eec\u8bf7\u5230\u4e86\u56db\u4f4d\u5609\u5bbe\uff0c\u5206\u522b\u662f\u6d59\u6c5f\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662\u767e\u4eba\u8ba1\u5212\u7814\u7a76\u5458\u8d75\u4fca\u535a\u3001\u5357\u6d0b\u7406\u5de5\u5b66\u9662\u6821\u957f\u3001\u4eba\u5de5\u667a\u80fd\u7cfb\u4e3b\u4efb\u5b89\u6ce2\u3001\u57c3\u9ed8\u91cc\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u526f\u6559\u6388\u5218\u83f2\u3001\u6e05\u534e\u5927\u5b66AIR\u7814\u7a76\u9662\u52a9\u7406\u6559\u6388\u3001\u5149\u8f6e\u667a\u80fd\u9996\u5e2d\u79d1\u5b66\u5bb6\u3001\u667a\u6e90\u5b66\u8005\u8d75\u660a\u3002\u4eca\u5929\u628a\u56db\u4f4d\u8001\u5e08\u8bf7\u8fc7\u6765\uff0c\u5e0c\u671b\u53ef\u4ee5\u8ddf\u5927\u5bb6\u5206\u4eab\u4e00\u4e0b\u6211\u4eec\u5728 ICLR \u6709\u4ec0\u4e48\u6837\u7684\u89c1\u95fb\uff0c\u4ee5\u53ca\u5bf9\u4e8e\u63a5\u4e0b\u6765\u4eba\u5de5\u667a\u80fd\u8d70\u5411\u548c\u8d8b\u52bf\u7684\u9884\u6d4b\u3002<\/p>\n<p>\u6211\u60f3\u95ee\u56db\u4f4d\u8001\u5e08\u7684\u7b2c\u4e00\u4e2a\u95ee\u9898\u662f\uff0c\u5927\u5bb6\u89c9\u5f97\u4eca\u5e74\u7684 ICLR \u8ddf\u5f80\u5e74\u6bd4\u6709\u4ec0\u4e48\u4e0d\u4e00\u6837\u7684\u5730\u65b9\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6211\u4e0a\u4e00\u6b21\u6765 ICLR \u5df2\u7ecf\u662f\u5f88\u591a\u5e74\u524d\u4e86\u3002\u8fd9\u4e2a\u4f1a\u5176\u5b9e\u662f\u4ece\u6211\u4eecNYU\u7684\u5b9e\u9a8c\u5ba4split off\u51fa\u53bb\u7684\u300214\u5e74\u521a\u5f00\u59cb\u7684\u65f6\u5019\u4e5f\u5c31\u51e0\u767e\u7bc7\u8bba\u6587\uff0c\u6ca1\u60f3\u5341\u4e00\u5e74\u8fc7\u53bb\u53d8\u5316\u4f1a\u8fd9\u4e48\u5927\u3002\u6240\u4ee5\u6211\u4eca\u5e74\u6700\u76f4\u63a5\u7684\u611f\u53d7\u5c31\u662f\u4eba\u591a\u3001\u8bba\u6587\u591a\u3001\u4f1a\u573a\u5927\u3002\u5f53\u5e74\u7684poster\u8981\u8bb2\u56db\u4e94\u4e2a\u5c0f\u65f6\uff0c\u56e0\u4e3a\u5f53\u65f6\u5176\u5b9e\u6ca1\u6709\u90a3\u4e48\u591a\u7684poster\uff0c\u4f46\u73b0\u5728\u7684poster\u5df2\u7ecf\u538b\u7f29\u5230\u4e86\u4e24\u4e2a\u5c0f\u65f6\u7684\u6781\u9650\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u4eca\u5e74\u66f4\u5927\u4e00\u4e9b\uff0c\u6709\u5f88\u591a\u6765\u81ea\u4e2d\u56fd\u7684\u8001\u5e08\u548c\u540c\u5b66\uff0c\u5185\u5bb9\u4e5f\u7279\u522b\u591a\u3002\u4eca\u5e74\u7ec4\u7ec7\u6ce8\u518c\u90a3\u4e2a\u5730\u65b9\u8981\u6392\u4e00\u4e2a\u5c0f\u65f6\u624d\u80fd\u9886\u5230\u8fd9\u4e2a\u724c\u5b50\uff0c\u53e6\u5916\u4f1a\u573a\u663e\u5f97\u66f4\u52a0\u62e5\u6324\uff0c\u901a\u9053\u4e5f\u6bd4\u8f83\u7a84\u3002 \u6211\u4e2a\u4eba\u89c9\u5f97\u8fd9\u4e2a\u4f1a\u592a\u5927\u4e86\uff0c\u5f53\u7136\u4e5f\u8bc1\u660e\u8fd9\u4e2a\u4f1a\u7684\u8d28\u91cf\u5f88\u597d\uff0c\u6765\u4e86\u5f88\u591a\u4f18\u79c0\u7684\u4eba\u3002<\/p>\n<p>\u5218\u83f2\uff1a\u6211\u53bb\u5e74\u53c2\u52a0\u4e86\u5728\u7ef4\u4e5f\u7eb3\u7684 ICLR \u4f1a\u8bae\uff0c\u60f3\u628a\u53bb\u5e74\u548c\u4eca\u5e74\u7684\u505a\u4e00\u4e2a\u5bf9\u6bd4\u3002\u6211\u611f\u89c9\u4eca\u5e74\u7684\u8bba\u6587\u5728\u6df1\u5ea6\u548c\u5e7f\u5ea6\u65b9\u9762\u90fd\u662f\u975e\u5e38\u68d2\u7684\uff0c\u9996\u5148\u6211\u770b\u5230\u4e86\u5f88\u591a\u975e\u5e38\u597d\u7684LLM\u6f5c\u5728\u7684\u843d\u5730\u76f8\u5173\u7684\u5e94\u7528\u3002\u53e6\u5916\u4e00\u4e2a\u6211\u6ce8\u610f\u5230\u7684\u73b0\u8c61\u662f\uff0c\u4eca\u5e74\u6709\u975e\u5e38\u591a\u91d1\u878d\u9886\u57df\u7684\u516c\u53f8\u4f5c\u4e3a\u6211\u4eec\u7684\u8d5e\u52a9\u5546\u3002\u6240\u4ee5\u6211\u4e2a\u4eba\u4e5f\u5f88\u671f\u5f85\uff0c\u5927\u6a21\u578b\u5c06\u6765\u5728\u91d1\u878d\u9886\u57df\u80fd\u6709\u4ec0\u4e48\u6837\u7684\u7a81\u7834\u6027\u7684\u53d1\u5c55\u3002<\/p>\n<p>\u8d75\u660a\uff1a\u6211\u524d\u5e74\u53bb\u4e86\u57fa\u52a0\u5229\uff08\u5362\u65fa\u8fbe\u9996\u90fdKigali\uff0c\u7f16\u8005\u6ce8\uff09\u90a3\u573a\uff0c\u7ed9\u6211\u5370\u8c61\u7279\u522b\u597d\u3002\u5f53\u65f6\u4e5f\u662f\u75ab\u60c5\u540e\u7b2c\u4e00\u6b21 ICLR\uff0c\u80fd\u611f\u89c9\u5230\u65e0\u8bba\u4e2d\u56fd\u4eba\u8fd8\u662f\u5916\u56fd\u4eba\u90fd\u5f88\u5174\u594b\u3002\u4e24\u5e74\u4ee5\u540e\u518d\u6765\uff0c\u6211\u89c9\u5f97\u5f88\u610f\u5916\u7684\u5c31\u662f\u8d5e\u52a9\u5546\u600e\u4e48\u8fd9\u4e48\u591a\u3002\u56e0\u4e3a\u6700\u8fd1\u51e0\u6b21\u53bb CV \u7684\u4f1a\u8bae\uff0c\u8d5e\u52a9\u5546\u7684\u6570\u91cf\u597d\u50cf\u90fd\u6709\u4e9b\u53d8\u5c11\u3002<\/p>\n<p>AI\u79d1\u6280\u8bc4\u8bba\uff1a\u8d75\u8001\u5e08\u60a8\u4eca\u5e74\u5e26\u4e86\u51e0\u7bc7\u8bba\u6587\u8fc7\u6765\uff1f<\/p>\n<p>\u8d75\u660a\uff1a\u4eca\u5e74\u5c31\u5e26\u4e86\u4e00\u7bc7\u8bba\u6587\uff0c\u662f\u505a Conditional Image Generation \u7684\u3002\u6211\u7684\u7814\u7a76\u65b9\u6cd5\u8bba\u662f\u6211\u4eec\u751f\u6210\u4e00\u4e9b\u6570\u636e\uff0c\u7136\u540e\u7528\u8fd9\u4e9b\u6570\u636e\u53bb\u8bad\u7ec3\u66f4\u597d\u7684\u611f\u77e5\u548c\u51b3\u7b56\u6a21\u578b\u3002\u6211\u4eec\u7528 reward modeling \u7684\u65b9\u5f0f\uff0c\u7528diffusion\u4ece\u5404\u79cd\u63a7\u5236\u4fe1\u53f7\u751f\u6210\u56fe\u7247\uff0c\u8ba9\u5b83\u505a\u5f97\u66f4\u597d\u3002<\/p>\n<p>AI\u79d1\u6280\u8bc4\u8bba\uff1a\u56db\u4f4d\u8001\u5e08\u4eca\u5e74\u5728\u4f1a\u573a\u4e0a\u80af\u5b9a\u770b\u5230\u4e86\u4e00\u4e9b\u8bba\u6587\u3001\u6f14\u8bb2\u6216\u8005 poster\u3002\u8fd9\u4e9b\u5185\u5bb9\u91cc\u6709\u6ca1\u6709\u4ee4\u4f60\u4eec\u5370\u8c61\u6df1\u523b\u7684\u3001\u6709\u8da3\u7684\u3001\u597d\u73a9\u7684\u4e1c\u897f\uff0c\u53ef\u4ee5\u8ddf\u6211\u4eec\u5206\u4eab\u4e00\u4e0b\uff1f<\/p>\n<p>\u8d75\u660a\uff1a\u90a3\u6211\u5c31\u8bb2\u4e00\u8bb2\u6211\u4eec\u5708\u5b50\u91cc\u4eca\u5e74\u4e00\u4e9b\u6709\u5f71\u54cd\u529b\u7684 paper\u3002\u7b2c\u4e00\u4e2a\u5c31\u662f\u4eca\u5e74\u4f1a\u4e0a\u7684\u6700\u9ad8\u5206 IC light\uff0c\u4e5f\u662f\u6bd4\u8f83\u5c11\u89c1\u5730\u62ff\u5230\u4e86\u6ee1\u5206\u3002\u8fd9\u4e2a\u5de5\u4f5c\u975e\u5e38\u6709\u610f\u601d\uff0c\u5b83\u5728diffusion \u91cc\u628a\u5149\u7167\u505a\u5f97\u5f88\u597d\u3002<\/p>\n<p>\u4e00\u822c\u5927\u5bb6\u4f1a\u8ba4\u4e3a\u65e0\u8bbaimage diffusion\u8fd8\u662fvideo diffusion\uff0c\u751f\u6210\u51fa\u6765\u7684\u4e1c\u897f\u90fd\u4e0d\u53ef\u63a7\u3002\u76ee\u524d\u7684\u751f\u6210\u5728\u51e0\u4f55\u548c\u7269\u7406\u65b9\u9762\u8868\u73b0\u90fd\u4e0d\u597d\uff0c\u4f46IC light\u5c45\u7136\u80fd\u628a\u5149\u7167\u505a\u597d\uff0c\u8fd9\u4ef6\u4e8b\u662f\u975e\u5e38 surprising\u7684\u3002\u540c\u65f6\u5b83\u4e5f\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u8f6e\u5b50\uff0c\u6211\u548c\u5f88\u591a\u670b\u53cb\u6700\u8fd1\u90fd\u5728\u7528 IC light\u505a\u5149\u7167\u63a7\u5236\u7684\u5de5\u4f5c\u3002\u5728CVML\u9886\u57df\uff0c\u771f\u6b63\u6709\u5f71\u54cd\u529b\u7684paper \u662f\u80fd\u5e2e\u52a9\u522b\u4eba\u7684paper\u3002<\/p>\n<p>\u6211\u89c9\u5f97IC light\u6709\u5f71\u54cd\u529b\uff0c\u6700\u5927\u7684\u539f\u56e0\u662f\u5b83\u8d85\u524d\u4e8e\u65f6\u4ee3\u3002\u6211\u7ecf\u5e38\u8ddf\u6211\u7684\u5b66\u751f\u4eec\u8bf4\uff0c\u6211\u6700\u94a6\u4f69\u7684\u79d1\u5b66\u5bb6\u662f\u80fd\u53d1\u73b0\u8d85\u8d8a\u65f6\u4ee3\u7684\u3001\u5e26\u7740\u827a\u672f\u6027\u548c\u7075\u611f\u7684\u4e1c\u897f\u3002\u6700\u5178\u578b\u7684\u5c31\u662f\u5b5f\u5fb7\u5c14\uff0c\u4ed6\u5728DNA\u53cc\u87ba\u65cb\u7ed3\u6784\u88ab\u53d1\u73b0\u4e4b\u524d300 \u5e74\uff0c\u5c31\u80fd\u591f\u7528\u8bbe\u8ba1\u5de7\u5999\u7684\u5b9e\u9a8c\u53d1\u73b0\u8c4c\u8c46\u80b2\u79cd\u51fa\u73b0\u4e0d\u540c\u6027\u72b6\u7684\u6bd4\u4f8b\u662f3:1\u3002\u53ef\u80fd\u5728300\u5e74\u3001100 \u5e74\u300150\u5e74\u4e4b\u540e\uff0c\u5927\u5bb6\u770b\u8fd9\u4e2a\u6280\u672f\u4e5f\u5c31\u662f\u90a3\u4e48\u56de\u4e8b\uff0c\u4f46\u4ed6\u4eec\u5c31\u662f\u80fd\u8d85\u524d\u4e8e\u65f6\u4ee3\u628a\u5b83\u505a\u51fa\u6765\uff0c\u800c\u4e14\u8fd8\u975e\u5e38\u6709\u5b9e\u7528\u4ef7\u503c\uff0c\u6211\u7279\u522b\u559c\u6b22\u8fd9\u6837\u7684\u5de5\u4f5c\u3002\u6240\u4ee5\u57283D scene understanding and synthesis\u8fd9\u4e2a\u9886\u57df\uff0c\u6211\u4eca\u5e74\u9996\u63a8IC light\u8fd9\u7bc7\u6ee1\u5206\u8bba\u6587\u3002<\/p>\n<p>\u5218\u83f2\uff1a\u6211\u81ea\u5df1\u6bd4\u8f83\u611f\u5174\u8da3\u7684\u65b9\u5411\u662f\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u51b3\u7b56\u7cfb\u7edf\u3001\u89c4\u5212\u7cfb\u7edf\u548c\u63a8\u7406\u7cfb\u7edf\u3002\u51b3\u7b56\u7cfb\u7edf\u662f\u4e00\u4e2a\u86ee\u91cd\u8981\u7684\u65b9\u5411\uff0c\u73b0\u5728\u8d8a\u6765\u8d8a\u591a\u7684\u7528\u6237\u5f00\u59cb\u95ee\u5927\u8bed\u8a00\u6a21\u578b\u4e00\u4e9b\u590d\u6742\u95ee\u9898\u3002<\/p>\n<p>\u6211\u53ef\u4ee5\u4e3e\u4e00\u4e2a\u6700\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u6bd4\u5982\u4e70\u5496\u5561\u673a\u6709\u975e\u5e38\u591a\u7684\u9009\u62e9\uff0c\u53ef\u4ee5\u4e70\u4e00\u4e2a\u975e\u5e38\u4fbf\u5b9c\u7684\u5496\u5561\u673a\u505adripping coffee\uff0c\u4e5f\u53ef\u4ee5\u4e70\u4e00\u4e2a\u9ad8\u6863\u4e00\u4e9b\u7684\u3002\u5927\u8bed\u8a00\u6a21\u578b\u6839\u636e\u7528\u6237\u9700\u6c42\u8fdb\u884c\u8f85\u52a9\u51b3\u7b56\uff0c\u8fd9\u5c31\u662f\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u7684\u51b3\u7b56\u7cfb\u7edf\u3002\u4f46\u540c\u65f6\u4e5f\u4f1a\u6709\u4e00\u4e9b\u66f4\u4e3a\u590d\u6742\u7684\u51b3\u7b56\u7cfb\u7edf\uff0c\u6bd4\u5982\u5bb6\u91cc\u7684\u5c0f\u5b69\u5347\u5b66\uff0c\u5728\u62e9\u6821\u7684\u65f6\u5019\u4f1a\u6709\u975e\u5e38\u591a\u56e0\u7d20\u9700\u8981\u8003\u8651\uff0c\u5305\u62ec\u5b66\u6821\u7684\u5730\u7406\u4f4d\u7f6e\u3001\u5e08\u8d44\u60c5\u51b5\u3001\u6392\u540d\u3001\u5b66\u751f\u81ea\u8eab\u66f4\u9002\u5408\u54ea\u79cd\u5b66\u6821\u3002\u5f88\u591a\u65f6\u5019\u5927\u5bb6\u53ea\u662f\u628a\u8fd9\u4e9b\u4fe1\u606f\u76f4\u63a5\u4f20\u8fbe\u7ed9\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5b83\u5f53\u7136\u4f1a\u7ed9\u4e00\u4e2a\u7b54\u6848\uff0c\u4f46\u662f\u6211\u4eec\u6ca1\u6709\u529e\u6cd5\u9a8c\u8bc1\u8fd9\u4e2a\u51b3\u7b56\u662f\u4e0d\u662f\u6700\u5408\u9002\u7684\u3002\u9488\u5bf9\u5355\u4e00\u4e8b\u4ef6\u505a\u5355\u4e00\u7684\u51b3\u7b56\uff0c\u4f20\u7edf\u4e0a\u6211\u4eec\u57fa\u4e8e\u5206\u7c7b\u5668\u6216\u8005\u51b3\u7b56\u6811\uff0c\u914d\u5408\u8bad\u7ec3\u6570\u636e\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u5df2\u7ecf\u53ef\u4ee5\u5f88\u597d\u5730\u8fdb\u884c\u8f85\u52a9\u51b3\u7b56\uff0c\u4f46\u590d\u6742\u7684\u51b3\u7b56\u7cfb\u7edf\u76ee\u524d\u4ecd\u7136\u662f\u9ed1\u76d2\u72b6\u6001\u3002<\/p>\n<p>\u4e00\u4e2a\u6211\u4eec\u6bd4\u8f83\u611f\u5174\u8da3\u7684\u65b9\u5411\u662f\u5982\u4f55\u628a\u8fd9\u4e24\u79cd\u7cfb\u7edf\u96c6\u5408\u5728\u4e00\u8d77\u3002\u57fa\u4e8e\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u5f97\u5230\u7684\u5206\u7c7b\u5668\u975e\u5e38robust\uff0c\u4f46\u662f\u53ea\u80fd\u5e94\u7528\u4e8e\u7279\u5b9a\u7684\u4efb\u52a1\u4e0a\uff0c\u800c\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u51b3\u7b56\u7cfb\u7edf\u53ef\u4ee5\u8fbe\u5230\u7279\u522b\u9ad8\u7684\u7075\u6d3b\u6027\uff0c\u6211\u4eec\u60f3\u628a\u8fd9\u4e24\u79cd\u51b3\u7b56\u65b9\u5f0f\u7ed3\u5408\u5728\u4e00\u8d77\u3002\u6211\u4eec\u6709\u4e00\u4e2a\u7cfb\u7edf\u53eb\u505aDefine\uff0c\u4e3b\u8981\u662f\u5728\u91d1\u878d\u9886\u57df\u9488\u5bf9\u6708\u62a5\u6216\u8005\u5e74\u62a5\uff0c\u7ed9\u51fa\u6295\u8d44\u5efa\u8bae\u3002<\/p>\n<p>\u8fd8\u6709\u4e00\u4e2a\u6211\u4eec\u7279\u522b\u611f\u5174\u8da3\u7684\u65b9\u5411\u662fsequential decision making\uff0c\u5b83\u5e94\u7528\u4e8e\u6211\u4eec\u9700\u8981\u505a\u4e00\u8fde\u4e32\u51b3\u5b9a\u7684\u573a\u666f\u3002\u6211\u4e3e\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u5982\u679c\u6211\u60f3\u5236\u5b9a\u4e00\u4efd\u65b0\u52a0\u5761\u65c5\u884c\u8ba1\u5212\uff0c\u90a3\u6211\u9996\u5148\u8981\u51b3\u5b9a\u4e70\u4ec0\u4e48\u65f6\u95f4\u7684\u673a\u7968\u3001\u5bbe\u9986\u8ba2\u5728\u4ec0\u4e48\u5730\u65b9\u3002\u540c\u65f6\u6211\u8981\u53c2\u52a0ICLR\uff0c\u6bcf\u5929\u90fd\u4f1a\u6709\u5177\u4f53\u7684\u884c\u7a0b\u5b89\u6392\u3002\u628a\u8fd9\u4e00\u8fde\u4e32\u51b3\u7b56\u653e\u5728\u4e00\u8d77\uff0c\u9700\u8981\u4e00\u4e2a\u975e\u5e38\u590d\u6742\u7684\u7cfb\u7edf\u3002\u8fd9\u4e2a\u51b3\u7b56\u7cfb\u7edf\u9700\u8981optimize goal\uff0c\u53ef\u80fd\u662f\u591a\u627e\u65f6\u95f4\u548c\u5927\u5bb6\u4ea4\u6d41\uff0c\u4e5f\u53ef\u80fd\u662f\u63a7\u5236\u6709\u9650\u7684\u9884\u7b97\uff0c\u8fd9\u6837\u5b83\u624d\u80fd\u505a\u51fa\u6700\u9002\u5408\u6211\u7684\u51b3\u7b56\u3002\u8bf4\u5230\u8fd9\u4e2a\uff0c\u5b89\u8001\u5e08\u6709\u4e00\u7bc7paper\u53ebAgent Studio\uff0c\u6211\u7279\u522b\u559c\u6b22\uff0c\u4e5f\u5e0c\u671b\u80fd\u591f\u542c\u5b89\u8001\u5e08\u8bb2\u4e00\u4e0b\u8fd9\u4e2a\u5de5\u4f5c\u7684\u7ec6\u8282\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u8c22\u8c22\u5218\u8001\u5e08\u3002\u8fd9\u9879\u5de5\u4f5c\u7684\u6280\u672f\u6027\u4e0d\u662f\u7279\u522b\u5f3a\uff0c\u6211\u4eec\u505a\u4e86\u4e00\u4e2a\u80fd\u591f\u63d0\u4f9b\u5f88\u591abenchmark\u573a\u666f\u7684\u5de5\u5177\uff0c\u5e76\u505a\u5b8c\u4e86\u6574\u4e2apipeline\uff0c\u53ef\u4ee5\u8ba9\u5927\u5bb6\u66f4\u5bb9\u6613\u5730\u5f00\u53d1Agent\u3002<\/p>\n<p>\u6211\u4e2a\u4eba\u8fd9\u4e24\u5e74\u66f4\u5173\u6ce8\u63a8\u7406RL\u600e\u4e48\u548c\u5927\u8bed\u8a00\u6a21\u578b\u7ed3\u5408\u5728\u4e00\u8d77\uff0c\u4ee5\u53caAgent\u7684\u7814\u7a76\u3002\u5927\u8bed\u8a00\u6a21\u578b\u8fd9\u4e2a\u6982\u5ff5\u5df2\u7ecf\u51fa\u73b0\u597d\u591a\u5e74\u4e86\uff0c\u73b0\u5728\u5e94\u8be5\u5230\u4e86\u6211\u4eec\u5f00\u59cb\u601d\u8003\u5b83\u843d\u5730\u7684\u65f6\u523b\uff0c\u6240\u4ee5\u6211\u4f1a\u7279\u522b\u5173\u6ce8\u5b83\u5728\u5782\u76f4\u9886\u57df\u843d\u5730\u65b9\u9762\u7684\u4e8b\u60c5\u3002\u6211\u770b\u4e86\u4e00\u4e9bsession\uff0c\u8fd9\u65b9\u9762\u7684\u5de5\u4f5c\u76f8\u5bf9\u524d\u4e24\u5e74\u8fd8\u86ee\u591a\u7684\u3002<\/p>\n<p>\u5218\u8001\u5e08\u521a\u624d\u8bb2\u5230\u51b3\u7b56\u7cfb\u7edf\uff0c\u8fd9\u4e5f\u662f\u6211\u4eec\u6240\u5173\u5fc3\u7684\u3002\u8fd9\u65b9\u9762\u6709\u5f88\u591a\u6311\u6218\uff0c\u6bd4\u5982\u591a\u6a21\u6001\u7684\u63a8\u7406\u30024\u6708\u4efd\u65b0\u52a0\u5761\u4e00\u5ea7\u623f\u5b50\u5931\u706b\uff0c\u4e00\u4eba\u6b7b\u4ea1\uff0c\u8fd8\u670920\u591a\u4eba\u53d7\u4f24\u3002\u6211\u4eec\u628a\u51e0\u5f20\u7167\u7247\u53d1\u7ed9GPT\uff0c\u95ee\u4ed6\u80fd\u4e0d\u80fd\u505a\u4e00\u4efd\u73b0\u573a\u5904\u7f6e\u5e94\u5bf9\u7684\u89c4\u5212\u3002\u6211\u4eec\u53d1\u73b0GPT\u7684\u89c4\u5212\u91cc\u6709\u5f88\u591a\u95ee\u9898\uff0c\u4f53\u73b0\u51fa\u5b83\u7684\u63a8\u7406\u80fd\u529b\u4e0d\u591f\u3002\u6bd4\u5982\u7167\u7247\u4e0a\u660e\u663e\u663e\u793a\u5f88\u591a\u5c0f\u5b69\u5b50\u53d7\u4f24\u4e86\uff0c\u4f46\u662f\u5b83\u63a8\u8350\u4f24\u8005\u53bb\u4e2d\u592e\u533b\u9662\uff0c\u5b9e\u9645\u4e0a\u65b0\u52a0\u5761\u6709\u4e00\u4e2a\u5f88\u597d\u7684\u513f\u79d1\u533b\u9662\u53ebKKH\uff0c\u79bb\u706b\u707e\u573a\u666f\u53ea\u67093\u516c\u91cc\u3002<\/p>\n<p>\u8ba9\u5927\u6a21\u578b\u4ece\u89c6\u9891\u91cc\u68c0\u7d22\u51fa\u5fc5\u8981\u7684\u4fe1\u606f\uff0c\u57fa\u4e8e\u8fd9\u4e9b\u60c5\u51b5\u8fdb\u884c\u590d\u6742\u63a8\u7406\uff0c\u8fd9\u662f\u6211\u4eec\u672a\u6765\u7279\u522b\u60f3\u505a\u7684\u4e8b\u60c5\u3002\u6211\u4eec\u5e0c\u671b\u5b83\u80fd\u89c4\u5212\u6d88\u9632\u4eba\u5458\u600e\u4e48\u8fdb\u573a\uff0c\u9700\u8981\u5b83\u8003\u8651\u73b0\u573a\u89c6\u9891\u3001\u56fe\u7247\u3001\u62a5\u6848\u7684\u97f3\u9891\uff0c\u518d\u628a\u8d77\u706b\u5927\u697c\u7684\u5e73\u9762\u56fe\u7ed3\u5408\u5230\u51b3\u7b56\u4e2d\u3002\u600e\u4e48\u8ba9\u8fd9\u4e9b\u6280\u672f\u771f\u6b63\u5730\u89e3\u51b3\u73b0\u5b9e\u95ee\u9898\uff0c\u8fd8\u6709\u5f88\u957f\u7684\u8def\u8981\u8d70\u3002\u8fd9\u662f\u5f88\u6709\u6311\u6218\u7684\u4e8b\u60c5\uff0c\u4f46\u662f\u6709\u5f88\u591a\u771f\u5b9e\u7684\u5e94\u7528\u9700\u8981\u3002<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6211\u63a5\u7740\u521a\u624d\u5b89\u8001\u5e08\u7684\u8bdd\u8bf4\u3002post-training\u7684scaling\u662f\u5728\u53bb\u5e74\u4e5d\u6708\u4efd\u5de6\u53f3\uff0c\u4eceGPT-o1\u5f00\u59cb\u51fa\u73b0\u7684\uff0c\u800cICLR\u7684\u622a\u7a3f\u65e5\u671f\u662f10\u67082\u53f7\uff0c\u6240\u4ee5\u57fa\u672c\u4e0a\u5728\u8fd9\u6b21\u7684poster\u91cc\u5f88\u96be\u770b\u5230\u8ddf\u540e\u8bad\u7ec3\u6216\u8005RL\u76f8\u5173\u7684\u5de5\u4f5c\u3002<\/p>\n<p>\u8fd9\u4e2a\u5e74\u4ee3\u53d1\u5c55\u592a\u5feb\u4e86\u3002\u53bb\u5e7410\u6708ICLR\u622a\u7a3f\uff0c\u73b0\u5728\u6587\u7ae0\u624d\u6b63\u5f0f\u9762\u4e16\uff0c\u4f46\u5176\u5b9e\u4ece\u53bb\u5e7410\u6708\u5230\u73b0\u5728\u5df2\u7ecf\u53d1\u751f\u4e86\u592a\u591a\u4e8b\uff0c\u5305\u62ecGPT-4.5\u3001MCP\u3001GPT-4o\u751f\u6210\u4e0e\u7406\u89e3\u7edf\u4e00\u7684\u975e\u5e38\u70ab\u76ee\u7684\u751f\u6210\u6548\u679c\u3001\u56fd\u5185\u7684Deepseek\u7b49\u7b49\u3002\u5f53\u5e74ICLR\u51fa\u73b0\u5176\u5b9e\u662f\u4e3a\u4e86\u7f29\u77ed\u6587\u7ae0\u9762\u4e16\u7684\u5468\u671f\uff0c\u4f46\u662f\u73b0\u5728\u8fd9\u4e2a\u5468\u671f\u662f\u4e0d\u662f\u8fd8\u662f\u8d76\u4e0d\u4e0a\u5f62\u52bf\u7684\u53d8\u5316\uff0c\u662f\u4e0d\u662f\u9700\u8981\u628a\u8fd9\u4e9b conference \u7684\u5f62\u5f0f\u518d\u91cd\u65b0\u601d\u8003\u4e00\u4e0b\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u73b0\u5728\u6574\u4e2apipeline\u8fd8\u662f\u9700\u8981\u4e09\u4e2a\u6708\u751a\u81f3\u4ee5\u4e0a\uff0c\u4e5f\u8bb8\u53ef\u4ee5\u518d\u7f29\u77ed\u4e00\u4e9b\u3002<\/p>\n<p>AI\u79d1\u6280\u8bc4\u8bba\uff1a\u6211\u4eec\u4e5f\u611f\u89c9\u8fd9\u5927\u534a\u5e74\u7684\u65f6\u95f4\u5929\u7ffb\u5730\u8986\u3002\u8d75\u8001\u5e08\u4f60\u5728\u53bb\u5e74\u4e5d\u6708\u4efd\u7684\u65f6\u5019\uff0c\u5f53\u65f6\u8bbe\u60f3\u4eca\u5e74\u5e74\u4e2d\u53ef\u80fd\u4f1a\u6709\u54ea\u4e9b\u53d8\u5316\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6211\u89c9\u5f97\u6709\u4e9b\u4e8b\u80af\u5b9a\u53d8\u4e86\uff0c\u4f46\u6709\u4e9b\u4e8b\u5176\u5b9e\u4e5f\u6ca1\u53d8\u3002\u6211\u5bf9\u56e2\u961f\u8bf4\u7684\u4e00\u53e5\u8bdd\u5c31\u662f\uff0c\u6211\u4eec\u73b0\u5728\u505a\u5f88\u591a\u4e1c\u897f\u90fd\u662f\u62cd\u8111\u888b\u3002\u6bd4\u5982\u5b89\u8001\u5e08\u521a\u624d\u8bf4\u7684\u8fd9\u4e2a\u573a\u666f\uff0c\u867d\u7136\u5b83\u5f88\u96be\uff0c\u4f46\u5176\u5b9e\u6709\u4e24\u79cd\u8def\u5f84\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002\u7b2c\u4e00\u79cd\u8def\u5f84\u662fmulti-agent\uff0c\u6bd4\u5982\u53ef\u4ee5\u4e13\u95e8\u505a\u4e00\u4e2aAgent\u89e3\u51b3\u6d88\u9632\u8f66\u7684\u8c03\u7528\uff0c\u6700\u540e\u6574\u4e2a\u51b3\u7b56\u4f53\u7cfb\u4e2d\u7a7f\u63d2\u7740\u5404\u79cdAgent\u3002\u4f46\u540c\u65f6\u6709\u4e9b\u5176\u4ed6\u7684\u95ee\u9898\u53ef\u4ee5\u4f9d\u9760\u6a21\u578b\u7684\u5e95\u5c42\u80fd\u529b\u76f4\u63a5\u89e3\u51b3\u3002<\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u770b\u4e00\u4e0bLangChain\u7684\u53d1\u5c55\uff0c\u4ed6\u4eec\u4e00\u5f00\u59cb\u9762\u5411multi-agent\u7f16\u6392\u7684\u6280\u672f\u505a\u4e86\u5f88\u591a\u4e1c\u897f\uff0c\u4f46\u5173\u952e\u662f\u73b0\u5728\u7684base model\u592a\u5f3a\u5927\u4e86\uff0c\u5bfc\u81f4\u8fd9\u4e9b\u4e1c\u897f\u597d\u50cf\u6709\u4e00\u4e9b\u5c31\u6ca1\u6709\u610f\u4e49\u4e86\u3002\u8fd9\u5c31\u6d89\u53ca\u5230\u4e00\u4e2a\u95ee\u9898\uff0c\u6709\u4e9b\u4e8b\u4e24\u5e74\u4e4b\u5185base model \u80fd\u4e0d\u80fd\u89e3\u51b3\u6389\u3002\u5982\u679c\u4e0d\u80fd\u5c31\u575a\u6301\u6295\u5165\uff0c\u5982\u679c\u80fd\u89e3\u51b3\uff0c\u90a3\u6211\u4eec\u662f\u4e0d\u662f\u53ef\u4ee5\u628a\u8fd9\u65b9\u9762\u6295\u5165\u7a0d\u5fae\u9000\u4e00\u6b65\uff1f\u5173\u952e\u662f\u57fa\u4e8e\u73b0\u5728\u8fd9\u79cd\u975e\u5e38\u75af\u72c2\u7684\u53d8\u5316\uff0c\u5224\u522b\u5728\u4e24\u5e74\u5185\u80fd\u4e0d\u80fd\u89e3\u51b3\uff0c\u6211\u611f\u89c9\u6bd4\u8f83\u96be\u505a\u3002<\/p>\n<p><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Scaling_Law_%E8%B5%B0%E5%88%B0%E5%B0%BD%E5%A4%B4%E4%BA%86%E5%90%97\"><\/span>Scaling Law \u8d70\u5230\u5c3d\u5934\u4e86\u5417<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI\u79d1\u6280\u8bc4\u8bba\uff1a\u6700\u8fd1\u5bf9 Scaling Law \u7684\u8ba8\u8bba\u975e\u5e38\u591a\u3002\u6211\u4e5f\u60f3\u8bf7\u6559\u4e00\u4e0b\u56db\u4f4d\u8001\u5e08\u7684\u7b54\u6848\uff0cScaling Law \u5230\u5e95\u6709\u6ca1\u6709\u8d70\u5230\u5c3d\u5934\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6211\u89c9\u5f97\u8981\u62c6\u9886\u57df\u6765\u770b\u3002\u9996\u5148\u4ece Pre-train \u7684\u89d2\u5ea6\u6765\u8bf4\uff0c\u6211\u8ba4\u4e3a\u5df2\u7ecf\u5230\u5934\u4e86\uff0c\u56e0\u4e3a\u786e\u5b9e\u6ca1\u6709\u6570\u636e\u4e86\u3002\u4eba\u7c7b\u6700\u9ad8\u8d28\u91cf\u7684\u4e00\u6279 token \u52a0\u8d77\u6765\u670910~15T\uff0cDeepSeek-V3\u7528\u4e8614.8T\u3002\u5728\u8fd915T\u6570\u636e\u7684\u57fa\u7840\u4e0a\uff0c\u5982\u679c\u63a5\u53d7\u6bd4\u8f83\u9ad8\u8d28\u91cf\u7684\u5408\u6210\u6570\u636e\uff0c\u518d\u628a\u6570\u636e\u8d28\u91cf\u7684\u95e8\u5f00\u5f97\u7a0d\u5fae\u5927\u4e00\u70b9\uff0c\u6211\u89c9\u5f97\u5dee\u4e0d\u591a\u80fd\u6269\u5c55\u523025~30T\uff0c\u518d\u5f80\u4e0a\u5c31\u5f88\u96be\u6709\u66f4\u591a\u7684\u6570\u636e\u585e\u8fdb\u6765\u4e86\u3002<\/p>\n<p>Post-train\u65b9\u9762\uff0c\u5927\u5bb6\u73b0\u5728\u8fd8\u662f\u5927\u5e45\u4f9d\u9760\u6570\u5b66\u548c\u4ee3\u7801\u8fd9\u79cd\u53ef\u6821\u9a8c\u7684\u6570\u636e\u3002\u90a3\u4e48\u5173\u952e\u7684\u95ee\u9898\u662f\uff0c\u7269\u7406\u3001\u6cd5\u5f8b\u3001\u5fc3\u7406\u7b49\u5176\u4ed6\u5b66\u79d1\u7684\u6570\u636e\u80fd\u4e0d\u80fd\u7528\uff0c\u4ee5\u53ca Reward model \u6216\u8005 Process Reward Model \u8fd9\u4e9b\u76f8\u5173\u6280\u672f\u80fd\u4e0d\u80fd\u7ee7\u7eed\u53d1\u5c55\u3002\u6216\u8005\u8fd8\u6709\u6ca1\u6709\u65b0\u7c7b\u578b\u6570\u636e\uff0c\u6bd4\u5982\u8bf4\u80a1\u7968\u3001\u6e38\u620f\u4ea4\u4e92\u8fd9\u4e9b\u6570\u636e\u80fd\u4e0d\u80fd\u62ff\u6765\u8bad\u7ec3\u5927\u6a21\u578b\u3002<\/p>\n<p>\u5176\u5b83\u7ed3\u6784\u4e0a\uff0cDiffusion Language Model \u6682\u65f6\u6ca1\u6709\u8dd1\u51fa Scaling Law\uff0c\u6211\u4eec\u73b0\u5728\u770b\u52307B\u30018B \u6709\u4e00\u4e9b\u6548\u679c\uff0c\u4f46\u662f\u975e\u81ea\u56de\u5f52\u7684\u65b0\u65b9\u6cd5\u8fd8\u662f\u503c\u5f97\u671f\u5f85\u7684\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u8d5e\u540c\u8d75\u8001\u5e08\u7684\u89c2\u70b9\uff0c\u6211\u89c9\u5f97Scaling Law\u597d\u50cf\u8981\u5230\u5c3d\u5934\u4e86\u3002\u6211\u4eec\u5148\u8bf4\u6700\u8fd1\u706b\u7684post training inference\uff0c\u5b83\u8fd8\u662f\u9700\u8981\u6570\u636e\uff0c\u9700\u8981\u5f97\u5230\u90a3\u4e9breward signal\u3002\u6709\u4eba\u4f1a\u8bf4\u6211\u4eec\u641e\u4e00\u4e2aworld model\uff0c\u4f46 world model\u4e5f\u5f97\u7528\u6570\u636e\u6765\u8bad\u7ec3\uff0cMPC\u5efa\u90a3\u4e2amodel\uff0c\u8fd8\u662f\u5f97\u4ece\u6570\u636e\u91cc\u9762\u6765\u3002<\/p>\n<p>\u521a\u624d\u8d75\u8001\u5e08\u8c08\u5230\u4e86\u591a\u667a\u80fd\u4f53\uff0c\u6709\u4e00\u4e2a\u601d\u8003\u662f\u6709\u6ca1\u6709 Multi-Agent Scaling Law\uff0c\u6211\u611f\u89c9\u8fd9\u4e2a\u4e5f\u4e0d\u5b58\u5728\u3002\u6211\u662f\u505a\u4f20\u7edf\u591a\u667a\u80fd\u4f53\u7684\uff0c\u6211\u4eec\u53d1\u73b0\u5e76\u4e0d\u89c1\u5f97\u667a\u80fd\u4f53\u7684\u6570\u91cf\u589e\u52a0\uff0c\u6027\u80fd\u5c31\u4f1a\u597d\uff0c\u56e0\u4e3a\u6570\u91cf\u7684\u589e\u52a0\u4f1a\u5bfc\u81f4\u5f88\u591a\u534f\u8c03\u3001\u901a\u4fe1\u65b9\u9762\u7684\u95ee\u9898\u3002\u6211\u4e2a\u4eba\u89c9\u5f97\u5b66\u672f\u754c\u7684\u4eba\u6ca1\u6709\u5fc5\u8981\u6267\u7740\u4e8e\u7814\u7a76 Scaling Law \u662f\u4e0d\u662f\u8981\u8d70\u5230\u5934\u4e86\uff0c\u56e0\u4e3a\u8fd9\u4e2a\u95ee\u9898\u5df2\u7ecf\u5435\u4e86\u5f88\u591a\u5e74\u3002<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6709\u6ca1\u6709 Scaling Law \u90fd\u53ef\u4ee5\u53bb\u505a research\uff0c\u8fd9\u6ca1\u4ec0\u4e48\u76f4\u63a5\u5173\u7cfb\u3002<\/p>\n<p>\u5218\u83f2\uff1a\u6211\u975e\u5e38\u540c\u610f\u5b89\u8001\u5e08\u548c\u4fca\u535a\u8001\u5e08\u7684\u60f3\u6cd5\uff0c\u8fd9\u91cc\u6211\u53ef\u4ee5\u518d\u8865\u5145\u4e24\u70b9\u3002<\/p>\n<p>\u7b2c\u4e00\u70b9\u6211\u8ba4\u4e3a\u53ef\u80fd\u6709\u4e00\u4e2a\u65b9\u5411\u8fd8\u53ef\u4ee5\u518d\u6df1\u5165\u6316\u6398\u4e00\u4e0b\uff0c\u5c31\u662f\u5728\u8c08\u5230\u6570\u636e\u7684\u65f6\u5019\uff0c\u4ec0\u4e48\u6837\u7684\u6570\u636e\u5e94\u8be5\u653e\u5728\u9884\u8bad\u7ec3\u5f53\u4e2d\uff0c\u4ec0\u4e48\u6837\u7684\u6570\u636e\u5e94\u8be5\u653e\u5728\u540e\u8bad\u7ec3\u5f53\u4e2d\u3002\u73b0\u5728\u5927\u5bb6\u5728\u505a\u57fa\u7840\u6a21\u578b\u7684\u65f6\u5019\uff0c\u57fa\u672c\u4e0a\u662f\u628a\u80fd\u591f\u62ff\u5230\u7684\u65e0\u8bba\u662f\u6587\u672c\u8fd8\u662f\u5176\u5b83\u6a21\u6001\u7684\u4fe1\u606f\uff0c\u51e0\u4e4e\u662f\u4e00\u80a1\u8111\u5730\u653e\u5728\u9884\u8bad\u7ec3\u5f53\u4e2d\u3002\u7136\u540e\u5728\u540e\u8bad\u7ec3\u9636\u6bb5\uff0c\u5bf9\u4e8e\u4e0d\u540c\u7684\u9886\u57df\uff0c\u4f1a\u6709\u4e13\u95e8\u7684\u6570\u636e\u3002\u5176\u5b9e\u6211\u4eec\u53ef\u4ee5\u91cd\u65b0\u601d\u8003\u4e00\u4e0b\u8fd9\u4e2a\u95ee\u9898\uff0c\u6709\u6ca1\u6709\u53ef\u80fd\u6709\u4e00\u79cd\u6bd4\u8f83\u597d\u7684\u65b9\u6cd5\uff0c\u80fd\u591f\u628a\u6570\u636e\u5728\u9884\u8bad\u7ec3\u548c\u540e\u8bad\u7ec3\u4e2d\u5408\u7406\u5730\u5206\u914d\uff0c\u6700\u5927\u5316\u5730\u63d0\u9ad8\u6a21\u578b\u80fd\u529b\u3002<\/p>\n<p>\u53e6\u5916\u6211\u5bf9 Reverse Scaling Law \u4e5f\u5f88\u611f\u5174\u8da3\uff0c\u6211\u60f3\u8865\u5145\u7684\u7b2c\u4e8c\u4e2a\u65b9\u5411\u662f\uff0c\u5728\u6570\u636e\u4e00\u5b9a\u7684\u60c5\u51b5\u4e0b\u5982\u4f55\u63d0\u9ad8\u6a21\u578b\u7684\u80fd\u529b\uff0c\u5c24\u5176\u662f\u6a21\u578b\u5728\u5177\u4f53\u4efb\u52a1\u4e0a\u7684\u80fd\u529b\u3002\u6211\u4eec\u8bad\u7ec3\u5927\u6a21\u578b\u7684\u521d\u8877\u662f predict the next word\uff0c\u8fd9\u4e2a\u4efb\u52a1\u672c\u8eab\u5e76\u4e0d\u662f\u5f88\u91cd\u8981\uff0c\u5176\u5b9e\u662f\u901a\u8fc7\u8fd9\u6837\u4e00\u4e2a\u7b80\u5355\u7684\u4efb\u52a1\u8fbe\u5230\u8bad\u7ec3\u6a21\u578b\u53c2\u6570\u7684\u6548\u679c\u3002\u90a3\u4e48\u73b0\u5728\u6211\u4eec\u80fd\u4e0d\u80fd\u901a\u8fc7\u5728\u4efb\u52a1\u4e0a\u7684\u521b\u65b0\uff0c\u63d0\u51fa\u65b0\u7684task\uff0c\u5e2e\u52a9\u6211\u4eec\u63d0\u9ad8\u6a21\u578b\u7684\u540e\u8bad\u7ec3\u6548\u679c\uff0c\u6216\u8005\u6a21\u578b\u5728\u67d0\u4e00\u4e2a\u9886\u57df\u9700\u8981\u7684\u7279\u5b9a\u80fd\u529b\u3002\u6211\u8ba4\u4e3a\u8fd9\u4e24\u4e2a\u65b9\u5411\uff0c\u4e5f\u8bb8\u53ef\u4ee5\u518d\u6df1\u5165\u6316\u6398\u4e00\u4e0b\u3002<\/p>\n<p>\u50cf\u521a\u521a\u4e24\u4f4d\u8001\u5e08\u63d0\u5230\u8fc7\u7684\uff0c\u5927\u90e8\u5206\u5927\u5bb6\u80fd\u591f\u83b7\u5f97\u7684\u9ad8\u8d28\u91cf\u6570\u636e\u51e0\u4e4e\u5df2\u7ecf\u88ab\u7528\u6389\u4e86\u3002\u8fd9\u4e24\u5e74\u5927\u8bed\u8a00\u6a21\u578b\u6301\u7eed\u4e0d\u65ad\u5730\u751f\u6210\u65b0\u7684\u6587\u672c\u3001\u56fe\u7247\uff0c\u77ed\u89c6\u9891\uff0c\u4ee5\u540e\u6211\u4eec\u80fd\u591f\u62ff\u5230\u7684\u6570\u636e\uff0c\u4f1a\u6709\u5f88\u591a\u662f\u6a21\u578b\u751f\u6210\u51fa\u6765\u7684\u3002\u5982\u679c\u6211\u4eec\u4e0d\u52a0\u601d\u8003\u5730\u76f4\u63a5\u7528\u8fd9\u4e9b\u6570\u636e\u8bad\u7ec3\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u6211\u4e0d\u592a\u786e\u5b9a\u5bf9\u4e8e\u6a21\u578b\u7a76\u7adf\u6709\u6ca1\u6709\u8d28\u7684\u63d0\u9ad8\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u7a0d\u5fae\u8865\u5145\u4e00\u4e0b\u3002\u6211\u4eec NTU \u524d\u4e24\u5929\u9080\u8bf7\u4e86\u4e00\u4f4d EPFL \u7684\u8001\u5e08\uff0c\u4ed6\u5c31\u7814\u7a76\u8fd9\u4e2a\u95ee\u9898\u3002\u672a\u6765\u7684\u6570\u636e\u5168\u90e8\u662f\u5927\u6a21\u578b\u4ea7\u751f\u7684\uff0c\u4e00\u4ee3\u4e00\u4ee3\u5730\u8fed\u4ee3\u4e0b\u53bb\uff0c\u8fd9\u4e2a\u4e16\u754c\u4f1a\u53d8\u6210\u4ec0\u4e48\u6837\uff1f\u4ed6\u505a\u4e86\u4e00\u4e9b\u5b9e\u9a8c\uff0c\u56e0\u4e3a\u662f\u6a21\u62df\u6240\u4ee5\u6bcf\u4e00\u4ee3\u7684\u95f4\u9694\u90fd\u8981\u77ed\u5f97\u591a\uff0c\u4f46\u662f\u4ed6\u89c9\u5f97\u8fd9\u5c06\u6765\u4f1a\u5bf9\u4eba\u7c7b\u7684\u4ef7\u503c\u89c2\uff0c\u751a\u81f3\u4e00\u5207\u90fd\u5e26\u6765\u5f88\u5927\u7684\u53d8\u5316\u3002<\/p>\n<p>\u8d75\u660a\uff1a\u5728 Vision \u9886\u57df\uff0c\u5927\u5bb6\u6bd4\u8f83\u75db\u5fc3\u75be\u9996\u7684\u662f\u6211\u4eec\u8fd8\u6ca1\u6709\u53d1\u73b0 Scaling Law\u3002\u4e4b\u524d\u6211\u4eec\u505a\u4e86\u5f88\u4e45\u81ea\u76d1\u7763\u7684\u8868\u5f81\u5b66\u4e60\uff0c\u4e5f\u662f\u60f3\u590d\u73b0NLP\u9886\u57df\u7684\u6210\u529f\uff0c\u4f46\u666e\u904d\u8ba4\u4e3a\u7ed3\u679c\u4e0d\u662f\u7279\u522b\u6210\u529f\u3002\u5f88\u591a\u4eba\u8ba4\u4e3a\u8fd9\u662f\u4fe1\u606f\u5bc6\u5ea6\u7684\u539f\u56e0\u3002Language \u7684\u4fe1\u606f\u5bc6\u5ea6\u66f4\u9ad8\uff0c\u66f4\u5bb9\u6613\u51fa\u73b0 Scaling Law\uff0c\u800c vision \u9700\u8981\u538b\u7f29\u4fe1\u606f\u3002<\/p>\n<p>\u6211\u89c9\u5f97 VLA \u6709\u53ef\u80fd\u5728\u672a\u6765\u4e00\u6bb5\u65f6\u95f4\u5185\u770b\u5230 Scaling Law\uff0c\u8fd9\u662f\u975e\u5e38 promising \u7684\u4e00\u4ef6\u4e8b\u60c5\u3002\u6211\u4eec\u73b0\u5728\u505a VLA\uff0c\u4e00\u822c\u662f\u7528\u9065\u64cd\u4f5c\u6570\u636e\u505a\u52a8\u4f5c\uff0c\u505a\u5b8c\u4ee5\u540e\u590d\u539f\uff0c\u518d\u91cd\u65b0\u91c7\u96c6\u6570\u636e\u3002\u5176\u5b9e\u6bcf\u4e00\u6761\u6570\u636e\u90fd\u662f\u5dee\u4e0d\u591a\u7684\uff0c\u4f46\u662f\u5c31\u7528\u8fd9\u4e9b\u5dee\u4e0d\u591a\u7684\u6570\u636e\u8bad\u7ec3\uff0c50\u6761\u7684\u65f6\u5019\u662f\u4e0d work \u7684\uff0c200\u6761\u7684\u65f6\u5019\u4e00\u822c\u521a\u5f00\u59cb work\uff0c500\u6761\u6570\u636e\u7684\u65f6\u5019\u5c31\u975e\u5e38 work \u4e86\u3002\u6211\u4e5f\u4e0d\u77e5\u9053\u4e3a\u4ec0\u4e48\uff0c\u4f46\u611f\u89c9\u5f88\u50cf GPT \u51fa\u6765\u7684\u65f6\u5019 NLP \u9886\u57df\u90a3\u79cd\u6a21\u6a21\u7cca\u7cca\u7684\u611f\u89c9\u3002\u6211\u89c9\u5f97\u968f\u7740\u8fd9\u4e9b\u6570\u636e\u79ef\u7d2f\u5f97\u8d8a\u6765\u8d8a\u591a\uff0c\u4e5f\u8bb8\u672a\u676512\u4e2a\u6708\u300124\u4e2a\u6708\u300136\u4e2a\u6708\uff0c\u7a81\u7136\u6211\u4eec\u7684 VLA \u5c31\u80fd\u505a\u51fa\u975e\u5e38\u7075\u5de7\u7684\u4e1c\u897f\u3002<\/p>\n<p>AI\u79d1\u6280\u8bc4\u8bba\uff1a\u521a\u624d\u8d75\u8001\u5e08\u63d0\u5230\u7684\u4e00\u4e2a\u95ee\u9898\u6211\u5f88\u597d\u5947\u3002\u60a8\u8bf4\u6211\u4eec\u6709\u5f88\u591a\u884c\u4e1a\u6027\u7684\u6570\u636e\uff0c\u5176\u5b9e\u73b0\u5728\u8fd8\u6ca1\u6709\u529e\u6cd5\u7528\u6765\u8bad\u7ec3\uff0c\u662f\u8fd9\u6837\u5417\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u81f3\u5c11\u5728\u4eca\u5929\uff0c\u901a\u8fc7\u5404\u79cd\u6280\u672f\u62a5\u544a\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u5927\u5bb6\u540e\u8bad\u7ec3\u7684\u4e3b\u4f53\u6570\u636e\u8fd8\u662f\u6570\u5b66\u548c code\uff0c\u8fd9\u662f\u56e0\u4e3a\u6211\u4eec\u9700\u8981\u4e00\u4e2a\u975e\u5e38\u660e\u786e\u7684 reward \u8ba1\u7b97\u516c\u5f0f\u3002\u6570\u5b66\u662f\u6bd4\u8f83\u5bb9\u6613\u7b97 reward \u7684\uff0ccoding \u53ef\u4ee5\u8dd1\u4e2a OJ\uff0c\u4e5f\u6709\u6bd4\u8f83\u660e\u786e\u7684 reward \u8ba1\u7b97\u65b9\u5f0f\uff0c\u8fd9\u4e9b\u80af\u5b9a\u662f\u6700\u9ad8\u7ea7\u7684\u6570\u636e\u3002\u6b21\u4e00\u7ea7\u7684\u6570\u636e\u53ef\u80fd\u9700\u8981\u4e00\u4e2a model\uff0c\u4e0d\u7ba1\u53eb\u5b83 judge model \u8fd8\u662f reward model\uff0c\u603b\u4e4b\u5f97\u5bf9\u6a21\u578b\u7ed9\u51fa\u7684\u7ed3\u679c\u548c\u5b9e\u9645\u7684\u6b63\u786e\u7b54\u6848\u8fdb\u884c\u6bd4\u8f83\uff0c\u8fd9\u5bf9\u6570\u636e\u7684\u8981\u6c42\u8fd8\u662f\u633a\u9ad8\u7684\u3002\u6bd4\u5982\u4f60\u7b97\u51fa\u6765\u7b54\u6848\u662f5\uff0c\u6a21\u578b\u7684\u8f93\u51fa\u662f5\uff0c\u90a35\u662f\u4e0d\u662f\u7b49\u4e8e5\uff0c\u8fd9\u5c31\u662f\u4e00\u4e2a reward\u3002\u6211\u89c9\u5f97\u5f3a\u5316\u5b66\u4e60\u5728\u5927\u8bed\u8a00\u6a21\u578b\u4e0a\u9762\u7684\u7a7a\u95f4\u8fd8\u662f\u6bd4\u8f83\u5927\u7684\uff0c\u540e\u9762\u8fd8\u662f\u6709\u4e0d\u5c11\u4e8b\u53ef\u4ee5\u505a\u3002<\/p>\n<p>\u8d75\u660a\uff1a\u6211\u6709\u4e00\u4e2a\u5173\u4e8e NLP \u7684\u95ee\u9898\u60f3\u8bf7\u6559\u4e00\u4e0b\u8d75\u8001\u5e08\u3002\u6211\u4ee5\u524d\u8bfb\u4e66\u7684\u65f6\u5019\uff0c\u5927\u5bb6\u4f1a\u7ba1 Alexnet \u8fd9\u79cd\u6a21\u578b\u53eb backbone\uff0c\u7136\u540e\u4f1a\u5728 backbone \u4e0a\u505a fine tuning\u3002\u73b0\u5728\u5728 NLP \u9886\u57df\uff0c\u5927\u5bb6\u4e00\u822c\u4f1a\u7ba1 backbone \u53eb foundation model\uff0c\u7136\u540e\u540e\u9762\u53eb post training\u3002\u73b0\u5728\u6211\u4eec\u5b9a\u4e49\u7684 post training \u548c fine tuning \u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6211\u672c\u6765\u60f3\u56de\u7b54\u8fd9\u4e24\u4e2a\u4e0d\u662f\u4e00\u4e2a\u610f\u601d\uff0c\u4f46\u6211\u540e\u6765\u60f3\uff0cSFT \u597d\u50cf\u4e5f\u5728 post training \u7684\u8303\u7574\u91cc\u3002\u6211\u4e0d\u786e\u5b9a\u73b0\u5728\u662f\u4e0d\u662f\u8fd8\u5728\uff0c\u5927\u5bb6\u7684\u672f\u8bed\u4e00\u76f4\u5728\u7a7f\u63d2\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u7684\u7406\u89e3\u662f post training \u7684\u6982\u5ff5\u66f4\u5e7f\u3002Fine tuning \u65e9\u671f\u53ef\u80fd\u53ea\u6709 SFT\uff0c\u540e\u6765\u52a0\u5165\u4e86 RHF\uff0c\u4f46\u662f\u6ca1\u6709\u628a test time \u90a3\u4e9b\u56ca\u62ec\u8fdb\u53bb\u3002\u73b0\u5728\u7528 RL \u505a\u7684 inference\u3001reasoning\uff0c\u662f\u4e0d\u5c5e\u4e8e fine tunning \u7684\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E6%A8%A1%E5%9E%8B%E6%9E%B6%E6%9E%84%E5%B0%9A%E6%9C%AA%E6%94%B6%E6%95%9B%EF%BC%8CDiffusion_%E6%9C%AA%E6%9D%A5%E5%8F%AF%E6%9C%9F\"><\/span>\u6a21\u578b\u67b6\u6784\u5c1a\u672a\u6536\u655b\uff0cDiffusion \u672a\u6765\u53ef\u671f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI\u79d1\u6280\u8bc4\u8bba\uff1a\u6211\u4eec\u6700\u8fd1\u4e00\u76f4\u6bd4\u8f83\u5173\u5fc3\u4e00\u4e2a\u95ee\u9898\uff0c\u6269\u6563\u6a21\u578b\u548c\u56de\u81ea\u56de\u5f52\u67b6\u6784\u5728\u751f\u6210\u4efb\u52a1\u4e0a\u5404\u81ea\u6709\u4ec0\u4e48\u4f18\u52a3\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6211\u4e2a\u4eba\u6bd4\u8f83\u770b\u597d Diffusion\u3002\u6211\u8bf4\u7684\u4e0d\u662f\u76f4\u63a5\u7528\u4e00\u4e2a Diffusion Model \u751f\u6210\u56fe\u50cf\uff0c\u6211\u89c9\u5f97 Diffusion \u662f\u4e2a\u5f88\u5927\u7684\u6982\u5ff5\uff0c\u5b83\u53ef\u4ee5 diffuse \u5f88\u591a\u4e1c\u897f\u3002<\/p>\n<p>\u6bd4\u5982\u6e05\u534e\u5927\u5b66\u6731\u519b\u8001\u5e08\u505a\u7684 RDT\uff0c\u6574\u4e2a\u673a\u5668\u53ef\u4ee5\u7528 Diffusion \u5728\u5750\u6807\u7a7a\u95f4\u7684\u51e0\u4e2a\u76ee\u6807\u70b9\u4e0a\u8dd1\u6269\u6563\u8fc7\u7a0b\u3002\u8fd8\u6709\u8c22\u8d5b\u5b81\u4ed6\u4eec\u505a\u7684 Meta Query\uff0c\u5b83\u53ef\u4ee5\u7406\u89e3\u56fe\u50cf\u548c\u6587\u672c\uff0c\u540c\u65f6\u5916\u63a5\u4e86\u4e00\u4e2a Diffusion Model\uff0c\u901a\u8fc7\u4e2d\u95f4\u4e00\u4e9b\u7b80\u5355\u7684\u7a7a\u95f4\u4e0a\u7684\u8fde\u63a5\uff0c\u53ef\u4ee5\u628a Diffusion \u5410\u51fa\u53bb\u518d\u53bb\u751f\u6210\u3002\u8fd9\u5c31\u662f\u4e00\u4e2a\u5f88\u5178\u578b\u7684 autoregressive \u548c Diffusion Model \u7684\u6574\u5408\uff0c\u53bb\u5b8c\u6210\u6240\u8c13\u7684\u751f\u6210\u3001\u7406\u89e3\u7684\u7edf\u4e00\u3002<\/p>\n<p>Diffusion \u6253\u7834\u4e86\u81ea\u56de\u5f52\u7684\u9650\u5236\uff0c\u5b83\u7684\u7279\u70b9\u662f\u53ef\u4ee5\u62df\u5408\u9ad8\u7ef4\uff0c\u53ef\u4ee5\u505a Multi-Modelity \u7684\u62df\u5408\u3002\u6240\u4ee5\u6211\u89c9\u5f97 Diffusion Model \u4f1a\u5728\u5404\u79cd\u5404\u6837\u7684\u5730\u65b9\u51fa\u73b0\uff0c\u867d\u7136 Diffusion LLM \u8fd8\u6ca1\u6709\u8dd1\u51fa Scaling Law\uff0c\u4f46\u6211\u89c9\u5f97\u5b83\u8fd8\u662f\u672a\u6765\u53ef\u671f\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u8fd9\u4e2a\u65b9\u5411\u5176\u5b9e\u6211\u4eec\u4e5f\u6ca1\u6709\u505a\u592a\u591a\u5de5\u4f5c\uff0c\u4f46\u6211\u611f\u89c9\u53ef\u80fd\u5e76\u4e0d\u662f\u90a3\u4e48\u5bb9\u6613\u5207\u6362\u8fc7\u53bb\u3002\u5982\u679c\u771f\u7684\u975e\u5e38\u5389\u5bb3\u7684\u8bdd\uff0c\u5927\u516c\u53f8\u65e9\u5c31\u7eb7\u7eb7\u8f6c\u5230\u90a3\u4e2a\u8d5b\u9053\u4e0a\u53bb\u4e86\u3002\u800c\u4e14\u5173\u4e8e\u80fd\u4e0d\u80fd\u53d6\u4ee3 Transformer\uff0c\u6211\u89c9\u5f97\u53ef\u80fd\u6027\u4e5f\u4e0d\u5927\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5bf9\u4e8e\u8fd9\u4e00\u70b9\uff0c\u5218\u83f2\u8001\u5e08\u600e\u4e48\u770b\uff1f<\/p>\n<p>\u5218\u83f2\uff1a\u6211\u4eec\u5728 diffusion model\u4e0a\u7684\u63a2\u7d22\u4e5f\u4e0d\u662f\u5f88\u591a\uff0c\u4f46\u6211\u6bd4\u8f83\u8ba4\u540c\u4fca\u535a\u521a\u521a\u7684\u89c2\u70b9\u3002Diffusion model \u5728\u56fe\u50cf\u751f\u6210\uff0c\u6216\u8005\u5728\u591a\u6a21\u6001\u4efb\u52a1\u4e0a\uff0c\u786e\u5b9e\u5c55\u73b0\u4e86\u6bd4\u8f83\u7a81\u51fa\u7684\u4f18\u52bf\u3002<\/p>\n<p>\u6211\u4e3b\u8981\u662f\u505a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u65b9\u5411\u7684\uff0c\u6240\u4ee5\u5728\u8fd9\u4e2a\u9886\u57df\uff0cAutoregressive model \u4ecd\u7136\u662f\u4e3b\u6d41\u3002\u539f\u56e0\u5728\u4e8e\uff0c\u65e0\u8bba\u662f\u6587\u672c\u6570\u636e\u8fd8\u662f\u4e00\u4e9b\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u672c\u8eab\u90fd\u5177\u6709\u5f88\u5f3a\u7684\u5e8f\u5217\u7279\u6027\uff0c\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\u6211\u4eec\u901a\u5e38\u66f4\u503e\u5411\u4e8e\u4f7f\u7528 Autoregressive model\u3002\u5f53\u7136\u5b83\u4e5f\u6709\u81ea\u5df1\u7684\u95ee\u9898\uff0c\u6bd4\u5982\u5728\u63a8\u7406\uff08inference\uff09\u9636\u6bb5\uff0c\u5f88\u96be\u505a\u5230\u5e76\u884c\u5904\u7406\u3002\u9488\u5bf9\u8fd9\u4e00\u95ee\u9898\uff0c\u76ee\u524d\u6709\u51e0\u4e2a\u53ef\u4ee5\u8003\u8651\u7684\u65b9\u5411\uff0c\u4e00\u4e2a\u662f\u521a\u521a\u4fca\u535a\u63d0\u5230\u7684\uff0c\u5c06 diffusion model \u548c Autoregressive model \u7ed3\u5408\u8d77\u6765\u3002<\/p>\n<p>\u53e6\u4e00\u4e2a\u65b9\u5411\u662f\uff0c\u5373\u4fbf\u6211\u4eec\u73b0\u5728\u8c08\u5230 Autoregressive model \u65f6\uff0cTransformer \u786e\u5b9e\u975e\u5e38\u6210\u529f\uff0c\u4f46\u8fd1\u5e74\u6765\u4e5f\u6709\u770b\u5230 recurrent neural networks\uff08RNN\uff09\u53ca\u5176\u53d8\u79cd\u91cd\u65b0\u53d7\u5230\u5173\u6ce8\u3002\u8fd9\u4e9b\u53d8\u79cd\u5728\u67d0\u4e9b\u65b9\u9762\u76f8\u8f83\u4e8e Transformer \u662f\u6709\u4e00\u5b9a\u4f18\u52bf\u7684\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u6240\u4ee5\u8bf4\uff0c\u63a5\u4e0b\u6765\u5927\u5bb6\u5f88\u53ef\u80fd\u4f1a\u63a2\u7d22\u5176\u4ed6\u67b6\u6784\uff1f<\/p>\n<p>\u5218\u83f2\uff1a\u5bf9\uff0c\u662f\u8fd9\u6837\u7684\u3002<\/p>\n<p>\u8d75\u660a\uff1a\u4ece\u6211\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u6211\u89c9\u5f97\u8fd9\u4e2a\u95ee\u9898\u53ef\u4ee5\u5206\u6210\u4e24\u5757\u3002\u4e00\u5757\u662f vision \u672c\u8eab\u8981\u4e0d\u8981\u548c language \u7ed3\u5408\u7684\u95ee\u9898\u3002\u5982\u679c\u53ea\u505a vision\uff0c\u6bd4\u5982\u89c6\u9891\u6216\u56fe\u50cf\u751f\u6210\u7684\u8bdd\uff0c\u6211\u4eec\u5176\u5b9e\u7279\u522b\u5173\u6ce8\u63a8\u7406\u901f\u5ea6\uff0c\u6240\u4ee5\u672a\u6765\u4e00\u4e24\u5e74\u5185\uff0c\u7eaf vision \u7684\u4efb\u52a1\u5e94\u8be5\u4f1a\u6162\u6162\u8f6c\u5411 AR\uff08Auto-Regressive\uff09\u601d\u8def\uff0c\u56e0\u4e3a\u5728\u901f\u5ea6\u4e0a\u6709\u660e\u663e\u4f18\u52bf\u3002\u4f46\u5708\u5b50\u91cc\u8fd8\u662f\u4f1a\u6709\u5f88\u591a\u505a\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u4eba\uff0c\u4ed6\u4eec\u5176\u5b9e\u5e76\u4e0d\u6e05\u695a\u8be5\u600e\u4e48\u548c language \u66f4\u597d\u5730\u7ed3\u5408\u3002\u6bd4\u5982\u591a\u5c3a\u5ea6\u7684 token \u5982\u4f55\u6620\u5c04\u5230\u8bed\u8a00\u7a7a\u95f4\uff0c\u76ee\u524d\u8c01\u4e5f\u8bf4\u4e0d\u6e05\u695a\u3002\u6240\u4ee5\u6211\u89c9\u5f97\uff0c\u672a\u6765\u7684\u53d1\u5c55\u65b9\u5411\u662f\u9700\u8981\u628a\u8fd9\u4e24\u5757\u95ee\u9898\u533a\u5206\u5f00\u6765\u770b\u5f85\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Agent_%E7%9A%84%E6%9C%BA%E9%81%87%E5%92%8C%E6%8C%91%E6%88%98\"><\/span>Agent \u7684\u673a\u9047\u548c\u6311\u6218<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u6700\u8fd1\u5927\u5bb6\u5bf9 Agent \u4e5f\u5f88\u5173\u6ce8\uff0c\u56db\u4f4d\u8001\u5e08\u6709\u4ec0\u4e48\u60f3\u6cd5\u5417\uff1f<\/p>\n<p>\u8d75\u660a\uff1a\u6211\u81ea\u5df1\u505a Agent \u7684\u5de5\u4f5c\u4e0d\u662f\u7279\u522b\u591a\uff0c\u4f46\u6700\u8fd1\u627e\u5230\u4e86\u4e00\u4e2a\u6211\u8ba4\u4e3a\u975e\u5e38\u6709\u8da3\u7684\u65b9\u5411\uff0c\u5c31\u662f\u628a\u533a\u5757\u94fe\u6280\u672f\u548c agent \u901a\u8baf\u7ed3\u5408\u8d77\u6765\u3002\u6211\u4eec\u76ee\u524d\u6b63\u5728\u673a\u5668\u4eba\u7cfb\u7edf\u4e2d\uff0c\u63a2\u7d22\u57fa\u4e8e Agent \u4fe1\u606f\u4ea4\u4e92\u65b9\u5f0f\uff0c\u642d\u5efa\u4e00\u4e2a\u53ef\u4fe1\u7684\u52a0\u5bc6\u534f\u540c\u6846\u67b6\uff0c\u6211\u89c9\u5f97\u8fd9\u4e2a\u9886\u57df\u975e\u5e38\u503c\u5f97\u6df1\u5165\u3002<\/p>\n<p>\u533a\u5757\u94fe\u7684\u7279\u70b9\u662f\u5927\u5bb6\u4ee5\u5206\u5e03\u5f0f\u7684\u65b9\u5f0f\u5171\u540c\u8ba1\u7b97\uff0c\u6ca1\u6709\u4efb\u4f55\u4e00\u4e2a\u8282\u70b9\u80fd\u638c\u63e1\u5168\u5c40\u4fe1\u606f\uff0c\u4f46\u6bcf\u4e2a\u8282\u70b9\u90fd\u53c2\u4e0e\u4e86\u94fe\u7684\u8fd0\u4f5c\u3002\u533a\u5757\u94fe\u91cc\u6709\u4e00\u4e2a\u6838\u5fc3\u7684\u6570\u636e\u7ed3\u6784\u53eb Merkle-Tree\uff0c\u5b83\u7684\u7279\u70b9\u662f\u6bcf\u4e2a\u53f6\u5b50\u8282\u70b9\u4e0a\u7684\u8ba1\u7b97\u7ed3\u679c\u90fd\u53ef\u4ee5\u88ab\u6709\u6548\u9a8c\u8bc1\uff0c\u5e76\u6700\u7ec8\u5728\u6839\u8282\u70b9\u5b8c\u6210\u6574\u4f53\u8ba1\u7b97\uff0c\u4f46\u53f6\u5b50\u8282\u70b9\u672c\u8eab\u5e76\u4e0d\u77e5\u9053\u6574\u4f53\u53d1\u751f\u4e86\u4ec0\u4e48\u3002\u5bf9\u5e94\u5230 agent \u7cfb\u7edf\u4e2d\uff0c\u5c31\u662f\u6bcf\u4e2a agent \u53ef\u4ee5\u53c2\u4e0e\u5230\u534f\u4f5c\u4e2d\uff0c\u901a\u8fc7\u901a\u4fe1\u534f\u8bae\u53bb\u6267\u884c\u4efb\u52a1\uff0c\u5e76\u6700\u7ec8\u5f97\u51fa\u7ed3\u679c\uff0c\u4f46\u6bcf\u4e2a agent \u672c\u8eab\u5e76\u4e0d\u77e5\u9053\u6574\u4f53\u7684\u4efb\u52a1\u5168\u8c8c\u3002\u5728\u673a\u5668\u4eba\u9886\u57df\uff0c\u8fd9\u79cd\u7279\u6027\u975e\u5e38\u6709\u7528\u3002<\/p>\n<p>\u5b89\u6ce2\uff1a\u90a3\u6700\u7ec8\u4f60\u4eec\u60f3\u89e3\u51b3\u4ec0\u4e48\u95ee\u9898\uff1f\u4f18\u5316\u7684\u76ee\u6807\u662f\u4ec0\u4e48\uff1f<\/p>\n<p>\u8d75\u660a\uff1a\u60f3\u505a\u7684\u662f\u4e00\u4e2a\u7cfb\u7edf\uff0c\u8ba9 agent \u53ef\u4ee5\u534f\u540c\u5b8c\u6210\u4efb\u52a1\uff0c\u800c\u4e14\u7cfb\u7edf\u5177\u6709\u5f88\u5f3a\u7684\u6297\u7834\u574f\u6027\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5f88\u65b0\u9896\u7684\u601d\u8def\uff01\u5218\u83f2\u8001\u5e08\u60a8\u600e\u4e48\u770b\uff1f<\/p>\n<p>\u5218\u83f2\uff1a\u6211\u89c9\u5f97\u8d75\u8001\u5e08\u63d0\u5230\u7684\u5c06 agent \u548c\u533a\u5757\u94fe\u7ed3\u5408\u7684\u65b9\u5411\uff0c\u786e\u5b9e\u975e\u5e38\u65b0\u9896\uff0c\u975e\u5e38\u503c\u5f97\u6df1\u5165\u6316\u6398\u3002\u6211\u8fd9\u8fb9\u5728 agent \u65b9\u5411\u4e0a\u4e5f\u6709\u4e24\u4e2a\u4ee3\u8868\u6027\u7684\u5de5\u4f5c\u3002\u7b2c\u4e00\u4e2a\u662f HARBOR[1]\uff0c\u8fd9\u662f\u4e00\u4e2a multi-agent system\u3002\u6211\u4eec\u8bbe\u60f3\u672a\u6765\uff0c\u6bcf\u4e2a\u4eba\u90fd\u53ef\u4ee5\u62e5\u6709\u4e00\u4e2a\u4e13\u5c5e\u4e8e\u81ea\u5df1\u7684 personalized LLM agent\uff0c\u80fd\u591f\u6df1\u5ea6\u7406\u89e3\u4f60\u7684\u5174\u8da3\u7231\u597d\uff0c\u6839\u636e\u4e2a\u6027\u5316\u9700\u6c42\uff0c\u5e2e\u52a9\u4f60\u505a\u51fa\u66f4\u5408\u9002\u7684\u51b3\u7b56\u3002<\/p>\n<p>\u5728\u8fd9\u6837\u7684\u8bbe\u5b9a\u4e0b\uff0cmulti-agent system \u65e2\u53ef\u80fd\u662f\u5408\u4f5c\u5173\u7cfb\uff0c\u4e5f\u53ef\u80fd\u662f\u7ade\u4e89\u5173\u7cfb\u3002\u6211\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u6bd4\u5982\u5927\u5bb6\u5728\u7533\u8bf7\u5de5\u4f5c\u65f6\uff0c\u53ef\u80fd\u90fd\u4f1a\u7528\u5230\u4e00\u4e9b\u5927\u8bed\u8a00\u6a21\u578b\u6216\u8005 agent \u5e2e\u52a9\u4fee\u6539\u7b80\u5386\u3001\u4f18\u5316\u8868\u8fbe\u3002\u5982\u679c\u53ea\u6709\u4e00\u4e2a\u804c\u4f4d\uff0c\u6240\u6709\u7533\u8bf7\u8005\u4e4b\u95f4\u5c31\u6784\u6210\u4e86\u7ade\u4e89\u3002\u5728\u8fd9\u79cd\u573a\u666f\u4e0b\uff0c\u6211\u4eec\u5f88\u611f\u5174\u8da3\u7684\u95ee\u9898\u662f\uff1a\u5728 multi-agent system \u4e2d\uff0c\u5982\u4f55\u8ba9 agent \u540c\u65f6\u8003\u8651\u4e2a\u4eba\u504f\u597d\uff0c\u5e76\u5e2e\u52a9\u7528\u6237\u505a\u51fa\u6700\u5177\u7ade\u4e89\u529b\u7684\u51b3\u7b56\u3002<\/p>\n<p>\u53e6\u4e00\u4e2a\u5de5\u4f5c\u662f PlanGenLLMs[2]\uff0c\u4e00\u7bc7\u7efc\u8ff0\u6027\u8bba\u6587\u3002\u6211\u4eec\u5bf9\u73b0\u6709\u7684 planning system \u505a\u4e86\u7cfb\u7edf\u6027\u7684\u68b3\u7406\u548c\u7814\u7a76\u3002\u56e0\u4e3a\u73b0\u5728\u5404\u4e2a planning \u7cfb\u7edf\u5728\u8bc4\u6d4b\u65f6\u7f3a\u4e4f\u7edf\u4e00\u6807\u51c6\uff0c\u6570\u636e\u96c6\u4e0d\u540c\uff0c\u5b9a\u4e49\u7684 agentic capabilities \u4e5f\u5404\u4e0d\u76f8\u540c\uff0c\u6240\u4ee5\u6211\u4eec\u5e0c\u671b\u80fd\u63d0\u51fa\u4e00\u4e2a\u66f4\u7edf\u4e00\u7684\u8bc4\u4f30\u65b9\u6cd5\uff0c\u5bf9\u5404\u79cd Agentic system \u8fdb\u884c\u66f4\u79d1\u5b66\u7684\u8bc4\u4f30\u548c\u6bd4\u8f83\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u8fd9\u79cd\u7cfb\u7edf\u4f1a\u53bb\u8003\u5bdf agent \u7684\u54ea\u4e9b\u65b9\u5411\uff1f<\/p>\n<p>\u5218\u83f2\uff1a\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u95ee\u9898\u3002\u6211\u4e3e\u51e0\u4e2a\u4f8b\u5b50\uff0c\u6bd4\u5982\u6211\u4eec\u6765\u5230\u65b0\u52a0\u5761\u5f00\u4f1a\uff0c\u5e0c\u671b\u8ba9 Agent \u5e2e\u6211\u505a\u4e00\u4e2a\u51fa\u884c\u8ba1\u5212\uff0c\u4f46\u5b83\u6700\u7ec8\u63d0\u4f9b\u7684\u65b9\u6848\u53ef\u80fd\u5e76\u4e0d\u662f\u7528\u6237\u771f\u6b63\u559c\u6b22\u7684\uff0c\u6240\u4ee5\u8fd9\u5c31\u662f\u5176\u4e2d\u4e00\u4e2a\u95ee\u9898\u3002\u8fd8\u6709\u4e00\u79cd\u60c5\u51b5\u662f\uff0c\u6bd4\u5982\u6211\u7684\u9884\u7b97\u6709\u9650\uff0c\u4f46\u53ef\u4ee5\u63a5\u53d7\u7a0d\u5fae\u8d85\u51fa\u7684\u65b9\u6848\uff0c\u6216\u8005\u6709\u4e00\u4e9b\u622a\u6b62\u65e5\u671f\uff0c\u5fc5\u987b\u4e25\u683c\u9075\u5b88\u7684\u3002\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0cAgent \u7cfb\u7edf\u9700\u8981\u5728\u591a\u76ee\u6807\u4f18\u5316\u73af\u5883\u4e2d\uff0c\u6df1\u523b\u7406\u89e3\u54ea\u4e9b\u76ee\u6807\u5fc5\u987b\u4e25\u683c\u6267\u884c\uff0c\u54ea\u4e9b\u76ee\u6807\u53ef\u4ee5\u6709\u4e00\u5b9a\u7684\u7075\u6d3b\u6027\u3002\u8fd9\u662f\u6211\u4eec\u8bc4\u5224 Agent \u7cfb\u7edf\u7684\u4e00\u4e2a\u91cd\u8981\u65b9\u5411\u3002<\/p>\n<p>\u53e6\u4e00\u4e2a\u65b9\u5411\u662f\u6211\u4e2a\u4eba\u6bd4\u8f83\u611f\u5174\u8da3\u7684\u3002\u56e0\u4e3a\u672a\u6765\u5f88\u591a Agentic system \u4f1a\u5206\u5e03\u5230\u5bb6\u5c45\u73af\u5883\u4e2d\uff0c\u6bd4\u5982\u51b0\u7bb1\u3001\u624b\u673a\u7b49\u8fd9\u7c7b edge devices\uff0c\u5b83\u4eec\u65e0\u6cd5\u76f4\u63a5\u8c03\u7528\u5927\u6a21\u578b\uff0c\u56e0\u4e3a\u8d44\u6e90\u53d7\u9650\u3002\u6240\u4ee5\u672a\u6765\u7684\u4e00\u4e2a\u95ee\u9898\u5c31\u662f\uff0c\u5982\u4f55\u5728\u5c0f\u6a21\u578b\u4e0a\u4e5f\u80fd\u5b9e\u73b0\u8f83\u5f3a\u7684 agentic capabilities\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u90a3\u53ef\u4ee5\u7406\u89e3\u4e3a\u50cf\u51b0\u7bb1\u3001\u624b\u673a\u8fd9\u79cd\u8bbe\u5907\u4e0a\uff0c\u4f1a\u6709\u81ea\u5df1\u7684\u7aef\u4fa7\u5c0f\u6a21\u578b\uff1f<\/p>\n<p>\u5218\u83f2\uff1a\u662f\u7684\uff0c\u53ef\u80fd\u5728\u7aef\u4fa7\u6709\u4e00\u4e2a\u5c0f\u6a21\u578b\uff0c\u5904\u7406\u4e00\u4e9b\u672c\u5730\u4efb\u52a1\uff0c\u540c\u65f6\u540e\u53f0\u7531\u5927\u6a21\u578b\u63d0\u4f9b\u652f\u6301\u3002\u4e00\u4e9b\u8bf7\u6c42\u53ef\u4ee5\u76f4\u63a5\u5728\u5c0f\u6a21\u578b\u4e0a\u5b8c\u6210\uff0c\u53e6\u4e00\u4e9b\u5219\u53d1\u9001\u5230\u5927\u6a21\u578b\u4e0a\u5904\u7406\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5b89\u6ce2\u8001\u5e08\uff0c\u60a8\u8ba4\u4e3a\u201c\u5c0f\u6a21\u578b+Agent\u201d\u662f\u4e00\u4e2a\u8d8b\u52bf\u5417\uff1f<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u8ba4\u4e3a\u662f\u7684\u3002\u73b0\u5728\u5927\u6a21\u578b\u7684\u51b3\u7b56\u80fd\u529b\u90fd\u8fd8\u5f88\u5f31\uff0c\u66f4\u4e0d\u8981\u8bf4\u5c0f\u6a21\u578b\u4e86\u3002\u603b\u4f53\u6765\u770b\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u5728\u5904\u7406\u51b3\u7b56\u95ee\u9898\u65f6\uff0c\u57fa\u672c\u4e0a\u662f\u901a\u8fc7 imitation learning\uff0c\u5373\u6a21\u4eff\u5df2\u6709\u6570\u636e\u3002\u800c\u8fd9\u4e5f\u89e3\u91ca\u4e86\u4e3a\u4ec0\u4e48 inference \u8fc7\u7a0b\u5982\u6b64\u5173\u952e\u3002\u6211\u8ba4\u4e3a\u672a\u6765\u65e0\u8bba\u662f\u5927\u6a21\u578b\u8fd8\u662f\u5c0f\u6a21\u578b\uff0c\u8981\u5b8c\u6210\u590d\u6742\u51b3\u7b56\u4efb\u52a1\uff0c\u90fd\u9700\u8981\u5f15\u5165 RL\uff08\u5f3a\u5316\u5b66\u4e60\uff09\uff0c\u56e0\u4e3a RL \u80fd\u901a\u8fc7\u4e0e\u73af\u5883\u7684\u4ea4\u4e92\uff0c\u4e0d\u65ad\u63d0\u5347\u6a21\u578b\u7684\u80fd\u529b\u3002<\/p>\n<p>\u5176\u5b9e\u521a\u624d\u4e24\u4f4d\u8001\u5e08\u63d0\u5230\u7684\u65b9\u5411\uff0c\u6211\u4e5f\u6709\u7814\u7a76\u3002\u5728\u505a\u5927\u8bed\u8a00\u6a21\u578b\u4e4b\u524d\uff0c\u6211\u4e00\u76f4\u5728\u505a multi-agent system \u7684\u7814\u7a76\u3002\u5728\u8fd9\u4e2a\u9886\u57df\u91cc\uff0ccommunication\uff08\u901a\u8baf\uff09\u662f\u4e00\u79cd\u65b9\u5f0f\uff0c\u4f46\u66f4\u5173\u952e\u7684\u662f\u5982\u4f55\u5b9e\u73b0 dynamic \u534f\u4f5c\u4f18\u5316\uff0c\u5c24\u5176\u662f\u5728\u673a\u5668\u4eba\u9886\u57df\uff0c\u6bcf\u4e2a agent \u5982\u4f55\u5728\u52a8\u6001\u73af\u5883\u4e2d\u9ad8\u6548\u534f\u540c\uff0c\u8fd9\u662f\u6700\u56f0\u96be\u7684\u90e8\u5206\u3002\u800c\u4e14\u5218\u83f2\u8001\u5e08\u63d0\u5230\u7684\u7b2c\u4e00\u4e2a\u65b9\u5411\uff0c\u6211\u8ba4\u4e3a\u786e\u5b9e\u662f\u521a\u9700\uff0c\u53ea\u4e0d\u8fc7\u8fd9\u91cc\u9762\u8fd8\u6709\u5f88\u591a\u7b97\u6cd5\u4e0a\u7684\u6311\u6218\uff0c\u6bd4\u5982\u5982\u4f55\u5feb\u901f\u627e\u5230\u6700\u4f18\u89e3\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5b89\u6ce2\u8001\u5e08\uff0c\u60a8\u4ece\u4ec0\u4e48\u65f6\u5019\u5f00\u59cb\u505a multi-agent system \u7684\uff1f<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u4ece\u4e0a\u5b66\u671f\u95f4\u5c31\u5f00\u59cb\u505a\u4e86\u3002\u7a0d\u5fae\u79d1\u666e\u4e00\u4e0b\uff1a\u8fd9\u4e2a\u9886\u57df\u8d77\u6e90\u4e8e\u4e0a\u4e16\u7eaa 80 \u5e74\u4ee3\uff0c\u65e9\u671f\u4e3b\u8981\u662f\u519b\u65b9\u4e3a\u4e86\u5efa\u4f20\u611f\u5668\u7f51\u7edc\u3002\u56e0\u4e3a\u5f53\u65f6\u5355\u4e2a\u4f20\u611f\u5668\u80fd\u529b\u5f31\uff0c\u6bd4\u5982\u786e\u5b9a\u4e00\u8f86\u8f66\u7684\u4f4d\u7f6e\uff0c\u9700\u8981\u4e09\u4e2a\u4f20\u611f\u5668\u534f\u540c\u5b9a\u4f4d\u3002\u8fd9\u5c31\u662f\u6700\u65e9\u7684 sensor network\u3002<\/p>\n<p>\u540e\u6765\uff0c\u673a\u5668\u4eba\u6bd4\u8d5b\u4e2d\u4e5f\u9700\u8981\u5206\u5e03\u5f0f\u534f\u4f5c\u800c\u975e\u96c6\u4e2d\u5f0f\u63a7\u5236\uff0c\u8fd9\u79cd\u573a\u666f\u4e2d\uff0cAgent \u5b8c\u5168\u662f\u5408\u4f5c\u7684\u3002\u4e4b\u540e\uff0c\u968f\u7740\u4e92\u8054\u7f51\u5174\u8d77\uff0c\u8ba1\u7b97\u535a\u5f08\u8bba\u51fa\u73b0\u4e86\uff1b\u518d\u540e\u6765\uff0c\u4f20\u7edf\u7684 distributed planning \u96be\u4ee5\u6269\u5c55\uff0c\u4e8e\u662f distributed RL \u88ab\u63d0\u51fa\u6765\u4e86\u3002\u5230 deep learning \u9636\u6bb5\uff0c\u8fd9\u4e00\u5207\u53c8\u88ab\u8fdb\u4e00\u6b65 deep \u5316\u3002\u76f4\u5230\u4eca\u5929\uff0c\u968f\u7740\u5927\u8bed\u8a00\u6a21\u578b\u7684\u51fa\u73b0\uff0cAI Agent \u7684\u6982\u5ff5\u518d\u6b21\u88ab\u63d0\u51fa\uff0c\u4f46\u5b9e\u9645\u4e0a\uff0c\u65e9\u671f\u7684 multi-agent system \u5df2\u7ecf\u5305\u542b\u4e86\u5f88\u591a\u57fa\u7840\u601d\u60f3\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u90a3\u60a8\u600e\u4e48\u770b RL \u548c Agent \u7684\u7ed3\u5408\u5462\uff1f<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u8ba4\u4e3a\u8fd9\u662f\u672a\u6765\u771f\u6b63\u843d\u5730\u51b3\u7b56\u578b\u5927\u6a21\u578b\u7684\u5173\u952e\u73af\u8282\u3002\u73b0\u9636\u6bb5\u6211\u4eec\u8fd8\u80fd\u901a\u8fc7\u5145\u5206\u6316\u6398\u5927\u8bed\u8a00\u6a21\u578b\u73b0\u6709\u7684\u80fd\u529b\uff0c\u52a0\u4e00\u4e9b\u5de5\u5177\u94fe\u53bb\u5b8c\u6210\u4efb\u52a1\u3002\u4f46\u5982\u679c\u8981\u8ba9\u5b83\u771f\u6b63\u8fd0\u884c\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\uff0c\u5c31\u5fc5\u987b\u8981\u548c\u73af\u5883\u6709\u771f\u5b9e\u4ea4\u4e92\u3002\u6211\u4eec\u73b0\u5728\u4e5f\u5728\u505a\u4e00\u4e9b\u76f8\u5173\u63a2\u7d22\uff0c\u6bd4\u5982\u5728 token level \u4e0a\u505a exploration\uff08\u63a2\u7d22\uff09\uff0c\u8fd9\u662f\u4e00\u4e2a\u5de8\u5927\u7684\u673a\u4f1a\u9886\u57df\u3002\u6240\u4ee5\uff0c\u628a RL \u548c\u5927\u8bed\u8a00\u6a21\u578b\u7ed3\u5408\u8d77\u6765\uff0c\u53bb\u89e3\u51b3\u590d\u6742\u51b3\u7b56\u95ee\u9898\uff0c\u662f\u975e\u5e38\u91cd\u8981\u7684\u65b9\u5411\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u4fca\u535a\u8001\u5e08\u6700\u8fd1\u6709\u5173\u6ce8\u5230\u4e00\u4e9b\u76f8\u5173\u7684\u516c\u53f8\u5417\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u8fd9\u79cd\u516c\u53f8\u73b0\u5728\u5f88\u591a\u4e86\uff0c\u6211\u89c9\u5f97\u4eca\u5e74\u540e\u9762\u8fd8\u4f1a\u8d8a\u6765\u8d8a\u591a\u3002\u6bd4\u5982\u524d\u6bb5\u65f6\u95f4 Manus\uff0c\u867d\u7136\u529f\u80fd\u4e0a\u8fd8\u6709\u5f88\u591a\u5c40\u9650\uff0c\u4f46\u5728\u4ea4\u4e92\u4f53\u9a8c\u4e0a\u786e\u5b9e\u8ba9\u4eba\u773c\u524d\u4e00\u4eae\u3002<\/p>\n<p>\u8d75\u660a\uff1a\u5199\u6587\u732e\u7efc\u8ff0\u5f88\u597d\u7528\u3002<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u8fd9\u4e2a\u9886\u57df\u6211\u89c9\u5f97\u80af\u5b9a\u662f\u6709\u6ce1\u6cab\u7684\u3002\u6211\u4e5f\u5f88\u540c\u610f\u5b89\u6ce2\u8001\u5e08\u521a\u624d\u7684\u770b\u6cd5\uff0c\u5927\u6a21\u578b\u672c\u8eab\u7684\u51b3\u7b56\u80fd\u529b\u8fd8\u6bd4\u8f83\u5f31\u3002\u4f46\u4e0d\u7ba1\u600e\u4e48\u8bf4\uff0c\u5927\u5bb6\u90fd\u5728\u52aa\u529b\u5f80\u8fd9\u4e2a\u65b9\u5411\u63a8\u8fdb\u3002\u6211\u76f8\u4fe1\u4eca\u5e74 Agent \u9886\u57df\u7684\u7248\u56fe\u8fd8\u4f1a\u8fdb\u4e00\u6b65\u6269\u5927\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5b89\u6ce2\u8001\u5e08\uff0c\u60a8\u6700\u8fd1\u6709\u7528\u8fc7\u5e02\u9762\u4e0a\u7684 Agent \u4ea7\u54c1\u5417\uff1f<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u7528\u5f97\u4e0d\u591a\uff0c\u4f46\u6709\u5173\u6ce8\u5230\u4e00\u4e9b\uff0c\u50cf Manus \u7684\u8bc4\u4ef7\u6211\u4e5f\u770b\u4e86\u5f88\u591a\u3002\u603b\u4f53\u6765\u8bf4\uff0c\u5b83\u8fd8\u662f\u6709\u4e0d\u5c11\u503c\u5f97\u5b66\u4e60\u7684\u5730\u65b9\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u60a8\u89c9\u5f97\u901a\u7528 Agent \u662f\u672a\u6765\u53ef\u80fd\u5b9e\u73b0\u7684\u76ee\u6807\u5417\uff1f<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u8ba4\u4e3a\u80af\u5b9a\u662f AI \u53d1\u5c55\u7684\u65b9\u5411\u3002\u4eba\u7c7b\u5bf9 AI \u7684\u9700\u6c42\u4e0d\u53ea\u662f\u804a\u5929\u5f0f\u4ea4\u4e92\uff0c\u800c\u662f\u5e0c\u671b AI \u80fd\u5e2e\u6211\u4eec\u5b8c\u6210\u7279\u522b\u590d\u6742\u7684\u4efb\u52a1\uff0c\u8fd9\u5c31\u662f Agent \u7684\u672c\u8d28\u3002\u4f46\u8fd9\u6761\u8def\u975e\u5e38\u96be\u3002\u5373\u4fbf\u4eca\u5929 AI \u5728\u67d0\u4e9b\u6570\u5b66\u9886\u57df\u5df2\u6709\u7a81\u7834\uff0c\u6211\u89c9\u5f97\u8981\u5b9e\u73b0\u771f\u6b63\u7684\u901a\u7528 Agent\uff0c\u5341\u5e74\u65f6\u95f4\u4e5f\u5f88\u96be\u5b8c\u6210\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5218\u83f2\u8001\u5e08\uff0c\u60a8\u76ee\u524d\u7684\u7814\u7a76\u6709\u6ca1\u6709\u4e00\u4e9b\u80fd\u5b9e\u7528\u5316\u7684 Agent \u9879\u76ee\u5462\uff1f<\/p>\n<p>\u5218\u83f2\uff1a\u867d\u7136\u6211\u4eec\u6b63\u5728\u505a Multi-agent system \u548c\u4e00\u4e9b planning \u76f8\u5173\u7684\u7b97\u6cd5\u5f00\u53d1\uff0c\u4f46\u4e5f\u6ce8\u610f\u5230\uff0c\u5c3d\u7ba1 agent \u5f88\u706b\uff0c\u771f\u6b63\u80fd\u843d\u5730\u7684\u9879\u76ee\u5176\u5b9e\u5e76\u4e0d\u591a\u3002<\/p>\n<p>\u8fd9\u91cc\u9762\u4e3b\u8981\u6709\u4e24\u4e2a\u6f5c\u5728\u95ee\u9898\u3002\u7b2c\u4e00\u4e2a\u662f\u9c81\u68d2\u6027\u95ee\u9898\u3002\u5f88\u591a agentic system \u6700\u540e\u662f\u4ee5\u4efb\u52a1\u6210\u529f\u7387\u4f5c\u4e3a\u8bc4\u4f30\u6807\u51c6\uff0c\u4f46\u76ee\u524d\u5927\u90e8\u5206\u7cfb\u7edf\u7684\u6210\u529f\u7387\u8fdc\u8fbe\u4e0d\u5230 90%-95%\uff0c\u8fd9\u4f1a\u5728\u843d\u5730\u5e94\u7528\u65f6\u5e26\u6765\u5f88\u591a\u56f0\u96be\u3002<\/p>\n<p>\u7b2c\u4e8c\u4e2a\u95ee\u9898\u662f\u5b89\u5168\u6027\u6311\u6218\u3002\u6bd4\u5982\uff0c\u6a21\u578b\u751f\u6210\u7684\u5185\u5bb9\u4e2d\u53ef\u80fd\u5305\u542b\u5e7b\u89c9\u4fe1\u606f\uff0c\u5c24\u5176\u662f\u5728\u4ee3\u7801\u751f\u6210\u7684\u573a\u666f\u4e0b\u95ee\u9898\u66f4\u7a81\u51fa\u3002\u6b63\u5e38\u60c5\u51b5\u4e0b\uff0c\u5982\u679c agent \u6b63\u786e\u5730\u751f\u6210\u4ee3\u7801\uff0c\u662f\u975e\u5e38\u597d\u7684\uff1b\u4f46\u5982\u679c\u56e0\u4e3a\u5e7b\u89c9\u95ee\u9898\uff0c\u751f\u6210\u4e86\u4e0d\u5b58\u5728\u7684 library name\uff0c\u6216\u8005\u6076\u610f\u7528\u6237\u63d0\u524d\u6ce8\u518c\u4e86\u8fd9\u4e9b\u540d\u5b57\u5e76\u690d\u5165\u4e86\u6076\u610f\u4ee3\u7801\uff0c\u90a3\u540e\u679c\u5c31\u5f88\u4e25\u91cd\u4e86\u3002\u5f53\u7136\uff0c\u8fd9\u53ea\u662f\u5f53\u524d\u6211\u4eec\u5df2\u77e5\u7684\u4e00\u4e9b\u95ee\u9898\uff0c\u672a\u6765\u968f\u7740\u5e94\u7528\u7684\u6df1\u5165\uff0c\u80af\u5b9a\u8fd8\u4f1a\u9047\u5230\u66f4\u591a\u65b0\u7684\u6311\u6218\u3002\u6240\u4ee5\uff0c\u5b89\u5168\u6027\u95ee\u9898\u5fc5\u987b\u9ad8\u5ea6\u91cd\u89c6\u3002<\/p>\n<p>\u8d75\u660a\uff1a\u6211\u542c\u5b8c\u5218\u83f2\u8001\u5e08\u8bb2\u7684\uff0c\u89c9\u5f97\u4ee5\u540e\u5982\u679c\u6bcf\u4e2a\u4eba\u90fd\u6709\u81ea\u5df1\u7684 personal agent\uff0c\u5927\u5bb6\u4e3a\u4e86\u62a2\u7968\u3001\u62a2\u8d44\u6e90\uff0c\u4e0d\u5c31\u53d8\u6210\u4e86 agent \u4e4b\u95f4\u7684\u6218\u4e89\u4e86\u5417\uff1f\u5982\u679c\u4ee5\u540e\u8981\u4e70\u4e00\u5f20\u673a\u7968\uff0c\u5f97\u4ed8\u8d39\u4e70\u4e00\u4e2a\u66f4\u5389\u5bb3\u7684 agent\uff0c\u611f\u89c9\u8fd8\u633a\u53ef\u6015\u7684\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u7ade\u4ef7\u6392\u540d\u5e94\u7528\u5230\u4e2a\u4eba\u751f\u6d3b\u91cc\u4e86\u3002<\/p>\n<p>\u8d75\u660a\uff1a\u5bf9\uff0c\u5230\u90a3\u65f6\u5019\uff0c\u8981\u4e48\u81ea\u5df1\u5904\u7406\u6240\u6709\u590d\u6742\u4e8b\u52a1\uff0c\u8981\u4e48\u5c31\u5f97\u4ed8\u94b1\u7528\u597d\u4e00\u70b9\u7684 agent\u3002\u8fd9\u79cd\u8d8b\u52bf\u6211\u89c9\u5f97\u5f88\u5feb\u5c31\u4f1a\u51fa\u73b0\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5982\u679c\u4ece\u5927\u6a21\u578b\u667a\u529b\u63d0\u5347\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u5927\u5bb6\u80fd\u9884\u6d4b\u4e00\u4e0b\uff0c\u672a\u6765\u6709\u54ea\u4e9b\u6280\u672f\u53ef\u80fd\u5e2e\u52a9\u6a21\u578b\u66f4\u806a\u660e\uff1f\u4e0b\u4e00\u4e2a\u9636\u6bb5\u7684\u7814\u7a76\u8d8b\u52bf\u4f1a\u662f\u4ec0\u4e48\uff1f<\/p>\n<p>\u8d75\u660a\uff1a\u6211\u76ee\u524d\u7684\u7814\u7a76\u65b9\u5411\u662f\u751f\u6210\u66f4\u53ef\u63a7\u7684\u5185\u5bb9\uff0c\u8fdb\u800c\u8bad\u7ec3\u51fa\u66f4\u806a\u660e\u7684\u673a\u5668\u4eba\u3002\u8fd9\u4e5f\u662f\u6211\u8ba4\u4e3a\u63d0\u5347 AI \u667a\u529b\u7684\u91cd\u8981\u65b9\u5f0f\u3002\u4f46\u76ee\u524d\u673a\u5668\u4eba\u7684\u95ee\u9898\u5728\u4e8e\uff0c\u5b83\u4eec\u5728\u7269\u7406\u4e16\u754c\u7684\u7075\u654f\u6027\u8fd8\u8fdc\u8fdc\u4e0d\u591f\u3002\u673a\u5668\u4eba\u9886\u57df\u4e0d\u4ec5\u6280\u672f\u590d\u6742\uff0c\u8fd8\u6d89\u53ca\u4ea7\u4e1a\u94fe\uff0c\u6bd4\u5982\u4f9b\u5e94\u94fe\uff0c\u6240\u4ee5\u53d1\u5c55\u901f\u5ea6\u4e0d\u50cf\u7eaf\u8f6f\u4ef6\u90a3\u6837\u5feb\u3002\u4e0d\u8fc7\uff0c\u968f\u7740\u8d44\u91d1\u548c\u5173\u6ce8\u5ea6\u7684\u589e\u52a0\uff0c\u673a\u5668\u4eba\u6280\u672f\u80af\u5b9a\u4f1a\u8d8a\u6765\u8d8a\u5feb\u8fdb\u6b65\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u90a3\u4f60\u89c9\u5f97\uff0c\u4ec0\u4e48\u6837\u7684\u673a\u5668\u4eba\u624d\u7b97\u662f\u771f\u6b63\u806a\u660e\u7684\uff1f<\/p>\n<p>\u8d75\u660a\uff1a\u5176\u5b9e\u73b0\u5728\u673a\u5668\u4eba\u501f\u52a9\u5927\u8bed\u8a00\u6a21\u578b\u7684\u80fd\u529b\uff0c\u5df2\u7ecf\u633a\u806a\u660e\u4e86\u3002\u6700\u5927\u7684\u95ee\u9898\u4e0d\u662f\u667a\u529b\uff0c\u800c\u662f\u7075\u654f\u6027\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5f53\u524d\u673a\u5668\u4eba\u7684\u201c\u5c0f\u8111\u201d\u8fd8\u4e0d\u591f\u53d1\u8fbe\uff0c\u4e0d\u591f\u654f\u6377\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5218\u83f2\u8001\u5e08\uff0c\u60a8\u89c9\u5f97\u8be5\u5982\u4f55\u8fdb\u4e00\u6b65\u63d0\u5347\u5927\u6a21\u578b\u7684\u667a\u529b\uff1f<\/p>\n<p>\u5218\u83f2\uff1a\u6211\u4e2a\u4eba\u8ba4\u4e3a\uff0c\u57fa\u7840\u6a21\u578b\uff08pretraining model\uff09\u4ecd\u7136\u662f\u6700\u6838\u5fc3\u7684\u3002\u6700\u521d\u4e00\u4e24\u5e74\u91cc\u5927\u5bb6\u90fd\u5728\u62fc\u57fa\u7840\u6a21\u578b\uff0c\u6700\u8fd1\u534a\u5e74\u867d\u7136\u8bc4\u6d4b\u62a5\u544a\u5c11\u4e86\uff0c\u4f46\u57fa\u7840\u6a21\u578b\u7684\u91cd\u8981\u6027\u5e76\u6ca1\u6709\u4e0b\u964d\u3002\u5982\u679c\u6709\u4e00\u4e2a\u975e\u5e38\u7a33\u5065\u7684\u57fa\u7840\u6a21\u578b\uff0c\u5728\u6b64\u57fa\u7840\u4e0a\u8fdb\u884c\u957f\u4e0a\u4e0b\u6587\u6269\u5c55\u3001\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u5fae\u8c03\u3001\u591a\u6a21\u6001\u80fd\u529b\u6269\u5c55\u7b49\uff0c\u90fd\u4f1a\u53d8\u5f97\u66f4\u52a0\u987a\u7545\u3002\u800c\u57fa\u7840\u6a21\u578b\u8d28\u91cf\u4e0d\u597d\uff0c\u540e\u7eed\u7684\u95ee\u9898\u4f1a\u5c42\u51fa\u4e0d\u7a77\uff0c\u4e0d\u4ec5\u662f\u5e7b\u89c9\u95ee\u9898\u3002<\/p>\n<p>\u5f53\u7136\uff0c\u597d\u7684\u57fa\u7840\u6a21\u578b\u5e76\u4e0d\u4e00\u5b9a\u975e\u5f97\u8d85\u7ea7\u5927\u3002\u5176\u5b9e\u5927\u6982 70B 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Finance\uff0c\u80fd\u591f\u5e26\u6765\u771f\u6b63\u7a81\u7834\u6027\u7684\u8fdb\u5c55\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u5b89\u6ce2\u8001\u5e08\uff0c\u60a8\u89c9\u5f97\u5462\uff1f<\/p>\n<p>\u5b89\u6ce2\uff1a\u6211\u8fd9\u8fb9\u8fd8\u662f\u66f4\u5173\u6ce8\u51b3\u7b56\u76f8\u5173\u7684\u95ee\u9898\uff0c\u65e0\u8bba\u662f\u5728 inference \u9636\u6bb5\uff0c\u8fd8\u662f\u5728 multi-agent \u9636\u6bb5\u3002\u6211\u8ba4\u4e3a\u8fd9\u786e\u5b9e\u662f\u4e00\u4ef6\u975e\u5e38\u96be\u7684\u4e8b\u60c5\u3002\u5b8c\u6210\u4e00\u4e2a\u5177\u4f53\u4efb\u52a1\u662f\u4e00\u65b9\u9762\uff0c\u4f46\u5982\u679c\u5e0c\u671b\u8fdb\u4e00\u6b65\u63d0\u5347\u7cfb\u7edf\u7684\u9c81\u68d2\u6027\uff0c\u7279\u522b\u662f\u5728\u5e94\u7528\u5230\u4e00\u4e9b\u6b64\u524d\u6570\u636e\u672a\u8986\u76d6\u5230\u7684\u573a\u666f\u65f6\uff0c\u57fa\u672c\u4e0a\u662f\u975e\u5e38\u56f0\u96be\u7684\u3002\u6574\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u8fd8\u6709\u5f88\u957f\u7684\u8def\u8981\u8d70\u3002<\/p>\n<p>\u5218\u83f2\uff1a\u6211\u975e\u5e38\u540c\u610f\u5b89\u8001\u5e08\u7684\u89c2\u70b9\u3002\u672a\u6765\u4e0e\u73af\u5883\u7684\u771f\u5b9e\u4ea4\u4e92\uff0c\u786e\u5b9e\u662f agentic system \u4e2d\u975e\u5e38\u91cd\u8981\u7684\u4e00\u73af\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u4fca\u535a\u8001\u5e08\uff0c\u60a8\u7684\u770b\u6cd5\u5462\uff1f<\/p>\n<p>\u8d75\u4fca\u535a\uff1a\u6211\u7684\u89c2\u70b9\u4e00\u534a\u4e50\u89c2\u4e00\u534a\u60b2\u89c2\u3002\u4e50\u89c2\u7684\u5730\u65b9\u662f\uff0cLLM \u7684 post-training \u8fd9\u4e00\u6761\u8def\u5f84\u5df2\u7ecf\u9010\u6e10\u88ab\u6478\u7d22\u6e05\u695a\u4e86\uff0c\u800c\u4e14\u4eca\u5e74\u4e4b\u5185\u4f9d\u7136\u6709\u4e0d\u5c11\u53ef\u4ee5\u6df1\u6316\u7684\u7a7a\u95f4\u3002\u6bd4\u5982\u8bf4\uff0c\u6570\u636e\u76ee\u524d\u8fd8\u6ca1\u6709\u88ab\u5b8c\u5168\u7a77\u5c3d\uff0c\u8fd8\u6709\u5f88\u591a\u65b0\u578b\u7684\u6570\u636e\u5c1a\u672a\u771f\u6b63\u94fa\u5f00\u5e94\u7528\u3002\u540c\u65f6\uff0c\u7b97\u6cd5\u548c\u57fa\u7840\u8bbe\u65bd\uff08Infra\uff09\u65b9\u9762\u4e5f\u4ecd\u6709\u6bd4\u8f83\u5927\u7684\u63d0\u5347\u7a7a\u95f4\u3002\u5f53\u7136\uff0c\u957f\u6587\u672c\u95ee\u9898\u6d89\u53ca\u5230\u7684\u4e00\u4e9b\u7ed3\u6784\u4f53\u7cfb\u6539\u8fdb\uff0c\u4e5f\u662f\u63a5\u4e0b\u6765\u7684\u6311\u6218\u4e4b\u4e00\u3002\u4e0d\u8fc7\u6574\u4f53\u6765\u770b\uff0c\u4e00\u5207\u53d8\u5316\u53d1\u5c55\u90fd\u5f88\u5feb\uff0c\u6240\u4ee5\u6700\u7ec8\u8981\u5230\u4eca\u5e74\u5e74\u5e95\uff0c\u6211\u4eec\u624d\u80fd\u771f\u6b63\u770b\u5230\u4f1a\u53d1\u751f\u4ec0\u4e48\u6837\u7684\u65b0\u53d8\u5316\u3002<\/p>\n<p>AI \u79d1\u6280\u8bc4\u8bba\uff1a\u597d\u7684\uff0c\u90a3\u6211\u4eec\u5c31\u9759\u9759\u671f\u5f85\uff0c\u4eca\u5e74\u5e74\u5e95\u8fd8\u4f1a\u6709\u54ea\u4e9b\u65b0\u7684\u7a81\u7834\u51fa\u73b0\u3002\u4e5f\u975e\u5e38\u611f\u8c22\u56db\u4f4d\u8001\u5e08\u4eca\u5929\u548c\u6211\u4eec\u5206\u4eab\u4e86\u8fd9\u4e48\u591a\u5b9d\u8d35\u7684\u5185\u5bb9\uff0c\u8c22\u8c22\u5927\u5bb6\uff01<\/p>\n<p>\u53c2\u8003\u6587\u6863\uff1a<\/p>\n<p>1.https:\/\/arxiv.org\/pdf\/2502.12149<\/p>\n<p>2.https:\/\/arxiv.org\/pdf\/2502.11221<\/p>\n<p>\u96f7\u5cf0\u7f51\u539f\u521b\u6587\u7ae0\uff0c\u672a\u7ecf\u6388\u6743\u7981\u6b62\u8f6c\u8f7d\u3002\u8be6\u60c5\u89c1<a href=\"https:\/\/r.xiumi.us\/board\/v5\/3qhbI\/392977584\" rel=\"nofollow\" target=\"_blank\">\u8f6c\u8f7d\u987b\u77e5<\/a>\u3002<\/p>\n<p>\n                        <a href=\"https:\/\/vip.yanxishe.com\/?from=leiphonearticle\" target=\"_blank\"><br \/>\n                            <a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ef1b38dfb738ad25d47c69ef4a8cea34.jpeg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/04\/frc-ef1b38dfb738ad25d47c69ef4a8cea34.jpeg\"><\/a><br \/>\n                        <\/a>\n                    <\/p>\n<p>                                            \u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.leiphone.com\/category\/ai\/aTUexELzPx0NHlV1.html\" target=\"_blank\">ICLR 2025\uff1a\u9876\u5c16\u79d1\u5b66\u5bb6\u6700\u5173\u5fc3\u7684 AI \u8d8b\u52bf\u6709\u54ea\u4e9b\uff1f\u4e28GAIR Live<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u81ea GPT-4 \u53d1\u5e03\u81f3\u4eca\u5df2\u6709\u4e24\u5e74\uff0c\u4f46\u5bf9\u5927 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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