{"id":625,"date":"2025-11-07T07:00:00","date_gmt":"2025-11-06T23:00:00","guid":{"rendered":"https:\/\/smartaiunion.com\/?p=625"},"modified":"2025-11-06T11:13:32","modified_gmt":"2025-11-06T03:13:32","slug":"%e6%96%af%e5%9d%a6%e7%a6%8f7b%e6%99%ba%e8%83%bd%e4%bd%93%e5%85%a8%e9%9d%a2%e8%b6%85%e8%b6%8agpt-4o","status":"publish","type":"post","link":"https:\/\/smartaiunion.com\/index.php\/2025\/11\/07\/625\/","title":{"rendered":"\u65af\u5766\u798f7B\u667a\u80fd\u4f53\u5168\u9762\u8d85\u8d8aGPT-4o"},"content":{"rendered":"\n

\u4f20\u7edf\u667a\u80fd\u4f53\u7cfb\u7edf\u96be\u4ee5\u517c\u987e\u7a33\u5b9a\u6027\u548c\u5b66\u4e60\u80fd\u529b\uff0c\u65af\u5766\u798f\u7b49\u5b66\u8005\u63d0\u51faAgentFlow\u6846\u67b6\uff0c\u901a\u8fc7\u6a21\u5757\u5316\u548c\u5b9e\u65f6\u5f3a\u5316\u5b66\u4e60\uff0c\u5728\u63a8\u7406\u4e2d\u6301\u7eed\u4f18\u5316\u7b56\u7565\uff0c\u5e76\u4f7f\u5c0f\u89c4\u6a21\u6a21\u578b\u5728\u591a\u9879\u4efb\u52a1\u4e2d\u8d85\u8d8aGPT-4o\uff0c\u4e3aAI\u53d1\u5c55\u5f00\u8f9f\u65b0\u601d\u8def\u3002<\/strong><\/p>\n\n\n\n

\u5f53\u524dAI Agent\u7684\u53d1\u5c55\u6b63\u9677\u5165\u4e24\u96be\u7684\u5883\u5730\uff1a<\/p>\n\n\n\n

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\u53e6\u4e00\u65b9\u9762\uff0c\u57fa\u4e8eprompt\u7684\u667a\u80fd\u4f53\u7cfb\u7edf\u867d\u5177\u7075\u6d3b\u6027\uff0c\u5374\u7f3a\u4e4f\u5b66\u4e60\u4e0e\u81ea\u6211\u4f18\u5316\u80fd\u529b\uff0c\u65e0\u6cd5\u4ece\u4ea4\u4e92\u4e2d\u6301\u7eed\u8fdb\u5316\u3002<\/p>\n\n\n\n

\u5982\u4f55\u7a81\u7834\u8fd9\u4e00\u74f6\u9888\uff1f<\/p>\n\n\n\n

\u65af\u5766\u798f\u5927\u5b66\u8054\u5408\u5fb7\u5dde\u519c\u5de5\u5927\u5b66\uff08Texas A&M\uff09\u3001\u52a0\u5dde\u5927\u5b66\u5723\u5730\u4e9a\u54e5\u5206\u6821\uff08UC San Diego\uff09\u548cLambda\u7684\u7814\u7a76\u56e2\u961f\u7ed9\u51fa\u4e86\u65b0\u7b54\u6848\uff1a\u8ba9\u667a\u80fd\u4f53\u7cfb\u7edf\u5728\u63a8\u7406\u300c\u6d41\u300d\u4e2d\u8fdb\u884c\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\uff0c\u4ece\u800c\u5b9e\u73b0\u6301\u7eed\u7684\u81ea\u6211\u63d0\u5347\u4e0e\u80fd\u529b\u8fdb\u5316<\/strong>\u3002<\/p>\n\n\n\n

\"\"\/<\/figure>\n\n\n\n
    \n
  • \u00a0<\/li>\n\n\n\n
  • \u00a0<\/li>\n\n\n\n
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  • \u00a0<\/li>\n\n\n\n
  • \u00a0<\/li>\n<\/ul>\n\n\n\n

    \u4ed6\u4eec\u63d0\u51faAgentFlow\u6846\u67b6\u91c7\u7528\u6a21\u5757\u5316\u67b6\u6784\uff0c\u901a\u8fc74\u4e2a\u4e13\u95e8\u5316\u667a\u80fd\u4f53\u534f\u540c\u5de5\u4f5c\uff0c\u914d\u5408\u4e13\u95e8\u8bbe\u8ba1\u7684Flow-GRPO\u7b97\u6cd5\uff0c\u4f7f\u7cfb\u7edf\u80fd\u591f\u5728\u771f\u5b9e\u4ea4\u4e92\u73af\u5883\u4e2d\u6301\u7eed\u4f18\u5316\u51b3\u7b56\u7b56\u7565\u3002<\/p>\n\n\n\n

    \"\"\/<\/figure>\n\n\n\n

    \u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u4ec57B\u53c2\u6570\u7684AgentFlow\u5728\u641c\u7d22\u3001\u6570\u5b66\u3001\u79d1\u5b66\u7b49\u591a\u4e2a\u4efb\u52a1\u4e0a\u5168\u9762\u8d85\u8d8aGPT-4o\uff08\u7ea6200B\u53c2\u6570\uff09\u548c Llama-3.1-405B\u3002<\/p>\n\n\n\n

    \u56e2\u961f\u8d1f\u8d23\u4eba\u5728\u63a8\u7279\u4e0a\u5206\u4eab\u4e86\u5de5\u4f5c\uff0c\u83b7\u5f97\u4e86\u6781\u5927\u7684\u5173\u6ce8\u3002<\/strong><\/p>\n\n\n\n

    \"\"\/<\/figure>\n\n\n\n
    \"\"\/<\/figure>\n\n\n\n
    \"\"\/<\/figure>\n\n\n\n
    \"\"\/<\/figure>\n\n\n\n

    \u8be5\u5de5\u4f5c\u76ee\u524d\u5df2\u767b\u4e0aHuggingFace Paper\u65e5\u699c\u7b2c\u4e8c\u540d\uff0c\u4ee5\u53ca\u5468\u6700\u706bHuggingface \u9879\u76ee\u3002<\/strong><\/p>\n\n\n\n

    \"\"\/<\/figure>\n\n\n\n
    \"\"\/<\/figure>\n\n\n\n

    \u957f\u94fe\u63a8\u7406\u4e2d\u7684\u4fe1\u7528\u5206\u914d\u96be\u9898<\/strong><\/h2>\n\n\n\n

    \u8bad\u7ec3\u667a\u80fd\u4f53\u7cfb\u7edf\u9762\u4e34\u7684\u6838\u5fc3\u6311\u6218\u662f\u591a\u8f6e\u4fe1\u7528\u5206\u914d\uff08multi-turn credit assignment\uff09\u95ee\u9898\uff1a\u5728\u957f\u65f6\u8de8\u5ea6\u3001\u5956\u52b1\u7a00\u758f\u7684\u73af\u5883\u4e2d\uff0c\u5982\u4f55\u51c6\u786e\u5224\u65ad\u6bcf\u4e00\u6b65\u51b3\u7b56\u5bf9\u6700\u7ec8\u7ed3\u679c\u7684\u8d21\u732e\uff1f<\/p>\n\n\n\n

    \"\"\/<\/figure>\n\n\n\n

    \u4f20\u7edf\u7684\u5355\u4e00\u6a21\u578b\u65b9\u6cd5\u5c06\u6240\u6709\u529f\u80fd\u96c6\u6210\u5728\u4e00\u4e2aLLM\u4e2d\uff0c\u901a\u8fc7\u7279\u6b8a\u6807\u7b7e\uff08\u5982 <tool_call>\uff09\u4e00\u4f53\u5316\u8f93\u51fa\u601d\u8003\u3001\u5de5\u5177\u8c03\u7528\u548c\u56de\u590d\u3002<\/p>\n\n\n\n

    \u8fd9\u79cd\u65b9\u5f0f\u5728\u77ed\u94fe\u4efb\u52a1\u4e2d\u6709\u6548\uff0c\u4f46\u5728\u590d\u6742\u573a\u666f\u4e0b\u5bb9\u6613\u51fa\u73b0\uff1a\u63a8\u7406\u94fe\u8fc7\u957f\u5bfc\u81f4\u8bad\u7ec3\u4e0d\u7a33\u5b9a\u3001\u5de5\u5177\u9009\u62e9\u9519\u8bef\u96be\u4ee5\u8ffd\u6eaf\u3001\u65e0\u6cd5\u6839\u636e\u73af\u5883\u53cd\u9988\u52a8\u6001\u8c03\u6574\u7b56\u7565\u3002<\/strong><\/p>\n\n\n\n

    \u800c\u73b0\u6709\u7684\u667a\u80fd\u4f53\u7cfb\u7edf\uff08\u5982 LangGraph\u3001OWL\u3001Pydantic\u3001AutoGen\uff09\u867d\u7136\u5b9e\u73b0\u4e86\u6a21\u5757\u5316\uff0c\u4f46\u5927\u591a\u4f9d\u8d56\u56fa\u5b9a\u7684 prompt \u5de5\u7a0b\uff0c\u7f3a\u4e4f\u4ece\u7ecf\u9a8c\u4e2d\u5b66\u4e60\u7684\u673a\u5236\u3002<\/p>\n\n\n\n

    AgentFlow\u591a\u6a21\u5757\u5b9e\u65f6\u4ea4\u4e92\uff0c\u5728\u300c\u6d41\u300d\u4e2d\u5b66\u4e60<\/strong><\/h2>\n\n\n\n

    AgentFlow\u7684\u8bbe\u8ba1\u601d\u8def\u662f\uff1a\u5c06\u590d\u6742\u7684\u63a8\u7406\u4efb\u52a1\u5206\u89e3\u7ed9\u4e13\u95e8\u5316\u7684\u667a\u80fd\u4f53\u6a21\u5757\uff0c\u540c\u65f6\u8ba9\u6838\u5fc3\u51b3\u7b56\u6a21\u5757\u80fd\u591f\u5728\u4ea4\u4e92\u4e2d\u6301\u7eed\u5b66\u4e60<\/strong>\u3002<\/p>\n\n\n\n

    \"\"\/<\/figure>\n\n\n\n

    \u56db\u6a21\u5757\u534f\u540c\u67b6\u6784<\/strong><\/h3>\n\n\n\n

    \u7cfb\u7edf\u7531\u56db\u4e2a\u5177\u5907\u8bb0\u5fc6\u80fd\u529b\u7684\u4e13\u95e8\u5316\u667a\u80fd\u4f53\u7ec4\u6210\uff1a<\/p>\n\n\n\n

      \n
    • \uff1a\u5206\u6790\u4efb\u52a1\u9700\u6c42\uff0c\u5236\u5b9a\u6267\u884c\u7b56\u7565\uff0c\u9009\u62e9\u6700\u5408\u9002\u7684\u5de5\u5177\u3002\u8fd9\u662f\u7cfb\u7edf\u7684\u6838\u5fc3\u51b3\u7b56\u6a21\u5757\uff0c\u4e5f\u662f\u552f\u4e00\u9700\u8981\u8bad\u7ec3\u7684\u90e8\u5206\u3002<\/li>\n\n\n\n
    • \uff1a\u8d1f\u8d23\u5b9e\u9645\u8c03\u7528\u5de5\u5177API\uff0c\u6574\u5408\u5de5\u5177\u8fd4\u56de\u7ed3\u679c\u3002<\/li>\n\n\n\n
    • \uff1a\u57fa\u4e8e\u7cfb\u7edf\u7d2f\u79ef\u7684\u5386\u53f2\u8bb0\u5fc6\uff0c\u8bc4\u4f30\u4e2d\u95f4\u7ed3\u679c\u662f\u5426\u7b26\u5408\u4efb\u52a1\u76ee\u6807\u548c\u7ea6\u675f\u6761\u4ef6\u3002<\/li>\n\n\n\n
    • \uff1a\u6574\u5408\u6240\u6709\u4fe1\u606f\u548c\u9a8c\u8bc1\u53cd\u9988\uff0c\u751f\u6210\u6700\u7ec8\u7b54\u6848\u6216\u4e0b\u4e00\u6b65\u884c\u52a8\u5efa\u8bae\u3002<\/li>\n<\/ul>\n\n\n\n

      \u5173\u952e\u521b\u65b0\u5728\u4e8e\uff1a\u89c4\u5212\u5668\u4e0d\u662f\u9759\u6001\u7684\uff0c\u800c\u662f\u901a\u8fc7\u5728\u7ebf\uff08on-policy\uff09 \u5f3a\u5316\u5b66\u4e60\u5728\u63a8\u7406\u6d41\u4e2d\u5b9e\u65f6\u4f18\u5316\u3002<\/strong><\/p>\n\n\n\n

      \u6bcf\u8f6e\u4ea4\u4e92\u540e\uff0c\u7cfb\u7edf\u4f1a\u6839\u636e\u6700\u7ec8\u7ed3\u679c\u7684\u6210\u529f\u6216\u5931\u8d25\uff0c\u66f4\u65b0\u89c4\u5212\u5668\u7684\u51b3\u7b56\u7b56\u7565\uff0c\u5e76\u5c06\u4f18\u5316\u7ed3\u679c\u6574\u5408\u5230\u7cfb\u7edf\u8bb0\u5fc6\u4e2d\uff0c\u5f62\u6210\u95ed\u73af\u7684\u81ea\u9002\u5e94\u5b66\u4e60\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

      Flow-GRPO\u7b97\u6cd5\uff0c\u89e3\u51b3\u4fe1\u7528\u5206\u914d\u95ee\u9898<\/strong><\/h2>\n\n\n\n

      \u56e2\u961f\u63d0\u51faFlow-GRPO\uff08Flow-based Group Relative Policy Optimization\uff09\u7b97\u6cd5\uff0c\u4e13\u95e8\u9488\u5bf9\u591a\u8f6e\u63a8\u7406\u573a\u666f\u8bbe\u8ba1\u3002\u6838\u5fc3\u601d\u60f3\u662f\u5c06\u8f68\u8ff9\u6700\u7ec8\u7684\u5956\u52b1\u4fe1\u53f7\uff08\u6210\u529f\/\u5931\u8d25\uff09\u5e7f\u64ad\u5230\u6bcf\u4e00\u6b65\u52a8\u4f5c\uff0c\u628a\u590d\u6742\u7684\u591a\u8f6e\u5f3a\u5316\u5b66\u4e60\u95ee\u9898\u8f6c\u5316\u4e3a\u4e00\u7cfb\u5217\u5355\u8f6e\u7b56\u7565\u66f4\u65b0\u3002<\/p>\n\n\n\n

      \"\"\/<\/figure>\n\n\n\n
      \"\"\/<\/figure>\n\n\n\n

      \u5177\u4f53\u505a\u6cd5\u662f\uff1a<\/strong><\/p>\n\n\n\n

      1. \u6536\u96c6\u5b8c\u6574\u7684\u63a8\u7406\u8f68\u8ff9\uff08\u4ece\u521d\u59cb\u4efb\u52a1\u5230\u6700\u7ec8\u7ed3\u679c\uff09\uff1b<\/strong><\/p>\n\n\n\n

      2. \u6839\u636e\u6700\u7ec8\u7ed3\u679c\u8ba1\u7b97 outcome reward\uff1b<\/strong><\/p>\n\n\n\n

      3. \u5c06\u8fd9\u4e2a reward \u5206\u914d\u7ed9\u8f68\u8ff9\u4e2d\u6bcf\u4e2a\u89c4\u5212\u52a8\u4f5c\uff1b<\/strong><\/p>\n\n\n\n

      4. \u4f7f\u7528\u76f8\u5bf9\u4f18\u52bf\u51fd\u6570\u8ba1\u7b97\u6bcf\u4e2a\u52a8\u4f5c\u7684\u4f18\u52bf\uff0c\u8fdb\u884c\u7b56\u7565\u68af\u5ea6\u66f4\u65b0\u3002<\/strong><\/p>\n\n\n\n

      \u8fd9\u79cd\u65b9\u6cd5\u6709\u6548\u7f13\u89e3\u4e86\u5956\u52b1\u7a00\u758f\u95ee\u9898\uff0c\u540c\u65f6\u4fdd\u6301\u4e86\u8bad\u7ec3\u7684\u7a33\u5b9a\u6027\u3002<\/strong><\/p>\n\n\n\n

      \u5728\u7ebf\u5b66\u4e60\u4f7f\u7cfb\u7edf\u80fd\u591f\uff1a\u5feb\u901f\u7ea0\u6b63\u9519\u8bef\u7684\u5de5\u5177\u8c03\u7528\u3001\u63a2\u7d22\u66f4\u4f18\u7684\u5b50\u4efb\u52a1\u5206\u89e3\u65b9\u5f0f\u3001\u6839\u636e\u73af\u5883\u53cd\u9988\u52a8\u6001\u8c03\u6574\u63a8\u7406\u6df1\u5ea6\u3002<\/strong><\/p>\n\n\n\n

      \u5b9e\u9a8c\u7ed3\u679c\uff1a\u5c0f\u6a21\u578b\u7684\u9006\u88ad<\/strong><\/h2>\n\n\n\n

      \u7814\u7a76\u56e2\u961f\u572810\u4e2a\u8de8\u9886\u57df\u57fa\u51c6\u4e0a\u8fdb\u884c\u4e86\u7cfb\u7edf\u8bc4\u6d4b\uff0c\u8986\u76d6\u77e5\u8bc6\u68c0\u7d22\u3001\u667a\u80fd\u4f53\u4efb\u52a1\u3001\u6570\u5b66\u63a8\u7406\u548c\u79d1\u5b66\u63a8\u7406\u56db\u5927\u7c7b\u3002<\/p>\n\n\n\n

      \u6027\u80fd\u5bf9\u6bd4<\/strong><\/h3>\n\n\n\n

      \u4ee5Qwen-2.5-7B-Instruct\u4e3a\u57fa\u5ea7\u6a21\u578b\uff0cAgentFlow \u5728\u6240\u6709\u7c7b\u522b\u4e2d\u5747\u663e\u8457\u9886\u5148\u3002<\/p>\n\n\n\n

      \u77e5\u8bc6\u68c0\u7d22\uff1a<\/strong>\u76f8\u6bd4\u57fa\u7ebf\u63d0\u534714.9%<\/p>\n\n\n\n

      \u667a\u80fd\u4f53\u63a8\u7406\uff1a<\/strong>\u63d0\u534714.0%<\/p>\n\n\n\n

      \u6570\u5b66\u63a8\u7406\uff1a<\/strong>\u63d0\u534714.5%<\/p>\n\n\n\n

      \u79d1\u5b66\u63a8\u7406\uff1a<\/strong>\u63d0\u53474.1%<\/p>\n\n\n\n

      \u66f4\u4ee4\u4eba\u60ca\u8bb6\u7684\u662f\u8de8\u89c4\u6a21\u5bf9\u6bd4\u7ed3\u679c\uff1a<\/p>\n\n\n\n

      7B\u7684AgentFlow\u5728\u641c\u7d22\u4efb\u52a1\u4e0a\u6bd4GPT-4o\uff08\u7ea6200B\uff09\u9ad88.2%<\/p>\n\n\n\n

      \u5728\u667a\u80fd\u4f53\u4efb\u52a1\u4e0a\u6bd4Llama-3.1-405B\u9ad815.8%<\/p>\n\n\n\n

      3B\u6a21\u578b\u7684AgentFlow\u4e5f\u80fd\u5728\u591a\u9879\u4efb\u52a1\u4e2d\u8d85\u8d8a405B\u7684\u57fa\u7ebf\u6a21\u578b<\/strong><\/p>\n\n\n\n

      \"\"\/<\/figure>\n\n\n\n
      \"\"\/<\/figure>\n\n\n\n

      \u6d88\u878d\u5b9e\u9a8c\u7684\u5173\u952e\u53d1\u73b0<\/strong><\/h3>\n\n\n\n

      1. \u5728\u7ebf\u5b66\u4e60 vs \u79bb\u7ebf\u5b66\u4e60<\/strong><\/p>\n\n\n\n

      \u5bf9\u6bd4\u5b9e\u9a8c\u663e\u793a\uff0c\u5982\u679c\u7528\u4f20\u7edfSFT\u65b9\u5f0f\u8bad\u7ec3\u89c4\u5212\u5668\uff0c\u6027\u80fd\u53cd\u800c\u4f1a\u5e73\u5747\u4e0b\u964d19%\u3002\u8fd9\u8bc1\u660e\u5728\u771f\u5b9e\u4ea4\u4e92\u73af\u5883\u4e2d\u7684\u5728\u7ebf\u5b66\u4e60\u662f\u5b9e\u73b0\u9ad8\u6548\u63a8\u7406\u7684\u5fc5\u8981\u6761\u4ef6<\/strong>\u3002<\/p>\n\n\n\n

      \"\"\/<\/figure>\n\n\n\n

      2. \u81ea\u4e3b\u63a2\u7d22\u65b0\u7b56\u7565<\/strong><\/p>\n\n\n\n

      \u6839\u636e\u4efb\u52a1\u7279\u70b9\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u7ec4\u5408<\/strong>\uff1b\u540c\u65f6\uff0c\u7ecf\u8fc7\u8bad\u7ec3\u7684\u7cfb\u7edf\u4f1a\u81ea\u53d1\u63a2\u7d22\u51fa\u65b0\u7684\u5de5\u5177\u4f7f\u7528\u6a21\u5f0f\uff0c\u6bd4\u5982\u7ec4\u5408\u4f7f\u7528\u7ef4\u57fa\u767e\u79d1\u641c\u7d22\uff08Wikipedia Search\uff09 \u548c\u7279\u5b9a\u7f51\u9875\u589e\u5f3a\u641c\u7d22\uff08Web Search\uff09\u7684\u8fde\u62db\uff0c\u901a\u8fc7\u5de5\u5177\u94fe\u83b7\u5f97\u66f4\u52a0\u6df1\u5165\u5730\u4fe1\u606f\u6316\u6398\uff0c\u800c\u8fd9\u4e9b\u6a21\u5f0f\u51e0\u4e4e\u6ca1\u6709\u5728\u672a\u8bad\u7ec3\u7684\u63a8\u7406\u6d41\u4e2d\u51fa\u73b0\u3002<\/p>\n\n\n\n

      \"\"\/<\/figure>\n\n\n\n

      3. \u52a8\u6001\u63a8\u7406\u6df1\u5ea6<\/strong><\/p>\n\n\n\n

      \u5728\u591a\u8df3\u641c\u7d22\u7b49\u5bc6\u96c6\u63a8\u7406\u4efb\u52a1\u4e2d\uff0c\u8bad\u7ec3\u540e\u7684AgentFlow\u5c55\u73b0\u51fa\u300c\u667a\u80fd\u7684\u61d2\u60f0\u300d\uff1a\u5bf9\u7b80\u5355\u4efb\u52a1\u4fdd\u6301\u8f83\u5c11\u7684\u63a8\u7406\u6b65\u6570\uff0c\u5bf9\u590d\u6742\u4efb\u52a1\u624d\u4f1a\u589e\u52a0\u63a8\u7406\u6df1\u5ea6\u3002<\/p>\n\n\n\n

      \u968f\u7740\u6700\u5927\u6b65\u6570\u9650\u5236\u7684\u63d0\u5347\uff0c\u6027\u80fd\u7a33\u6b65\u4e0a\u5347\u4f46\u5e73\u5747\u6b65\u6570\u4e0d\u4f1a\u540c\u6bd4\u4f8b\u589e\u957f\u3002<\/p>\n\n\n\n

      \"\"\/<\/figure>\n\n\n\n
      \"\"\/<\/figure>\n\n\n\n

      4. \u6a21\u5757\u534f\u4f5c\u7684\u4ef7\u503c<\/strong><\/p>\n\n\n\n

      \u867d\u7136\u63a8\u7406\u6d41\u672c\u8eab\u5c31\u80fd\u5e26\u6765\u6027\u80fd\u63d0\u5347\uff0c\u4f46\u672a\u7ecf\u8bad\u7ec3\u7684\u7cfb\u7edf\u5bb9\u6613\u51fa\u73b0\u5faa\u73af\u9519\u8bef\u6216\u5361\u987f\u3002<\/p>\n\n\n\n

      \u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u540e\uff0c\u7cfb\u7edf\u5728\u5de5\u5177\u8c03\u7528\u51c6\u786e\u6027\u3001\u5b50\u4efb\u52a1\u89c4\u5212\u7cbe\u7ec6\u5ea6\u548c\u5168\u5c40\u6027\u80fd\u4e0a\u90fd\u6709\u660e\u663e\u6539\u5584\u3002\u4f5c\u8005\u56e2\u961f\u63d0\u4f9b\u8fc7\u4e86\u4e00\u4e2a\u4f8b\u5b50\u6765\u751f\u52a8\u5c55\u793a\u4e86\u5728\u5b9e\u9a8c\u4e2d\u7684\u6709\u8da3\u53d1\u73b0\u3002<\/p>\n\n\n\n

      \"\"\/<\/figure>\n\n\n\n

      \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u5728\u7ecf\u8fc7Flow-GRPO\u8bad\u7ec3\u524d\u7684\u63a8\u7406\u7cfb\u7edf\uff0c\u4e00\u65e6\u9047\u5230\u4e86\u8bf8\u5982\u8fd9\u91cc\u7684python\u53d8\u91cf\u5b9a\u4e49\u9519\u8bef\uff0c\u4fbf\u4f1a\u53cd\u590d\u8f93\u51fa\u76f8\u540c\u7684\u5b50\u76ee\u6807\u548c\u5de5\u5177\u8c03\u7528\uff0c\u6781\u5927\u5730\u6d6a\u8d39\u65f6\u95f4\u548c\u63a8\u7406\u6548\u7387\u3002<\/p>\n\n\n\n

      \u5728\u7ecf\u8fc7Flow-GRPO\u5728\u7ebf\u66f4\u65b0\u540e\uff0c\u52a8\u4f5c\u89c4\u5212\u5668\u80fd\u591f\u6839\u636e\u4e4b\u524d\u7684\u9519\u8bef\u81ea\u52a8\u8c03\u6574\u7528\u66f4\u786e\u5207\u7684\u5b50\u76ee\u6807\u548c\u4efb\u52a1\u63cf\u8ff0\u6765\u6307\u5bfc\u540e\u7eed\u6b65\u9aa4\uff0c\u5e76\u4e14\u7ecf\u8fc7\u8fd9\u6837\u7684\u968f\u673a\u5e94\u53d8\u540e\uff0c\u4e00\u6b65\u6210\u529f\u3002<\/p>\n\n\n\n

      \u8fd9\u4e2a\u4f8b\u5b50\u4e5f\u6781\u5927\u7a0b\u5ea6\u5c55\u73b0\u4e86\uff0c\u5728\u667a\u80fd\u4f53\u7cfb\u7edf\u771f\u5b9e\u63a8\u7406\u4e2d\u8fdb\u884c\u5f3a\u5316\u5b66\u4e60\u7684\u6781\u5927\u6f5c\u529b\u3002<\/p>\n\n\n\n

      \u6280\u672f\u610f\u4e49\u4e0e\u672a\u6765\u5c55\u671b<\/strong><\/h2>\n\n\n\n

      AgentFlow\u7684\u5de5\u4f5c\u4ef7\u503c\u5728\u4e8e\uff1a<\/p>\n\n\n\n

      1. \u63d0\u4f9b\u4e86\u65b0\u7684\u8bad\u7ec3\u8303\u5f0f<\/strong>\u8bc1\u660e\u4e86\u667a\u80fd\u4f53\u7cfb\u7edf\u53ef\u4ee5\u901a\u8fc7\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u83b7\u5f97\u7c7b\u4f3c\u5927\u6a21\u578b\u7684\u5b66\u4e60\u80fd\u529b\uff0c\u4e14\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a\u6548\u7387\u66f4\u9ad8\u3002<\/p>\n\n\n\n

      2. \u9a8c\u8bc1\u4e86\u300c\u5c0f\u800c\u7cbe\u300d\u7684\u53ef\u884c\u6027<\/strong>\u5728\u5408\u7406\u7684\u7cfb\u7edf\u8bbe\u8ba1\u4e0b\uff0c\u5c0f\u6a21\u578b\u901a\u8fc7\u6a21\u5757\u5316\u534f\u4f5c\u548c\u6301\u7eed\u5b66\u4e60\uff0c\u53ef\u4ee5\u5728\u590d\u6742\u63a8\u7406\u4efb\u52a1\u4e2d\u8d85\u8d8a\u5927\u89c4\u6a21\u901a\u7528\u6a21\u578b\u3002<\/p>\n\n\n\n

      3. \u4e3a\u53ef\u6269\u5c55AI\u63d0\u4f9b\u601d\u8def<\/strong>\u6a21\u5757\u5316\u67b6\u6784\u4f7f\u5f97\u7cfb\u7edf\u53ef\u4ee5\u7075\u6d3b\u6dfb\u52a0\u65b0\u5de5\u5177\u3001\u8c03\u6574\u6a21\u5757\u529f\u80fd\u3002<\/p>\n\n\n\n

      AgentFlow\u81f3\u5c11\u8ba9\u6211\u4eec\u770b\u5230\uff1aAgentic AI\u7684\u53d1\u5c55\u4e0d\u5fc5\u5b8c\u5168\u4f9d\u8d56\u6a21\u578b\u89c4\u6a21\u7684\u5806\u780c\uff0c\u7cfb\u7edf\u67b6\u6784\u521b\u65b0+\u9ad8\u6548\u8bad\u7ec3\u65b9\u6cd5<\/strong>\u53ef\u80fd\u662f\u66f4\u503c\u5f97\u63a2\u7d22\u7684\u65b9\u5411\u3002<\/p>\n\n\n\n

      \u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/36kr.com\/p\/3537249524358021<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

      \u4f20\u7edf\u667a\u80fd\u4f53\u7cfb\u7edf\u96be\u4ee5\u517c\u987e\u7a33\u5b9a\u6027\u548c\u5b66\u4e60\u80fd\u529b\uff0c\u65af\u5766\u798f\u7b49\u5b66\u8005\u63d0\u51faAgentF...<\/p>\n","protected":false},"author":2,"featured_media":251,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-625","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/posts\/625","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/comments?post=625"}],"version-history":[{"count":1,"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/posts\/625\/revisions"}],"predecessor-version":[{"id":626,"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/posts\/625\/revisions\/626"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/media\/251"}],"wp:attachment":[{"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/media?parent=625"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/categories?post=625"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartaiunion.com\/index.php\/wp-json\/wp\/v2\/tags?post=625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}