{"id":1393,"date":"2025-08-13T20:46:00","date_gmt":"2025-08-13T12:46:00","guid":{"rendered":"http:\/\/www.applicationsofllm.com\/?p=1393"},"modified":"2025-09-17T20:49:11","modified_gmt":"2025-09-17T12:49:11","slug":"llm%e5%bc%80%e6%ba%902-0%e5%a4%a7%e6%b4%97%e7%89%8c%ef%bc%9a60%e4%b8%aa%e5%87%ba%e5%b1%80%ef%bc%8c39%e4%b8%aa%e4%b8%8a%e6%a1%8c%ef%bc%8cai-coding%e7%96%af%e9%ad%94%ef%bc%8ctensorflow%e5%b7%b2%e6%ad%bb","status":"publish","type":"post","link":"http:\/\/www.applicationsofllm.com\/index.php\/2025\/08\/13\/llm%e5%bc%80%e6%ba%902-0%e5%a4%a7%e6%b4%97%e7%89%8c%ef%bc%9a60%e4%b8%aa%e5%87%ba%e5%b1%80%ef%bc%8c39%e4%b8%aa%e4%b8%8a%e6%a1%8c%ef%bc%8cai-coding%e7%96%af%e9%ad%94%ef%bc%8ctensorflow%e5%b7%b2%e6%ad%bb\/","title":{"rendered":"LLM\u5f00\u6e902.0\u5927\u6d17\u724c\uff1a60\u4e2a\u51fa\u5c40\uff0c39\u4e2a\u4e0a\u684c\uff0cAI Coding\u75af\u9b54\uff0cTensorFlow\u5df2\u6b7b"},"content":{"rendered":"\n

\u5f00\u6e90 2.0 \uff1a\u53d8\u8138\u582a\u6bd4\u6574\u5bb9<\/strong><\/p>\n\n\n\n

\u7b49\u4e86\u4e00\u767e\u591a\u5929\uff0c\u60ac\u5ff5\u7ec8\u4e8e\u63ed\u6653\u3002<\/p>\n\n\n\n

9 \u6708 13 \u65e5\u4e0a\u5348\uff0c\u8682\u8681\u96c6\u56e2\u5f00\u6e90\u56e2\u961f\uff08\u300c\u5f00\u6e90\u6280\u672f\u589e\u957f\u300d\uff09\u643a\u300a 2.0 \u7248\uff0c\u4eae\u76f8\u4e0a\u6d77\u5916\u6ee9\u5927\u4f1a\u3002<\/p>\n\n\n\n

\u4e09\u4e2a\u6708\u524d\uff0c\u300c\u4e00\u573a\u76f4\u64ad\u4e2d\u7684\u300e\u73b0\u5b9e\u4e16\u754c\u7684\u9ed1\u5ba2\u677e \u300f (A Real-world Hackathon )\u300d\u7684\u65ad\u8a00\uff0c\u4eca\u5929\u4f9d\u7136\u6210\u7acb\u2014\u2014<\/p>\n\n\n\n

\uff0c\u800c\u4eca\uff0c\u5df2\u7ecf\u5927\u53d8\u6837\u3002<\/p>\n\n\n\n

\u8fd9\u4e00\u6b21\uff0c\u5168\u666f\u56fe\u6536\u5f55\u4e86 114 \u4e2a\u9879\u76ee\uff08\u6bd4\u4e0a\u4e00\u7248\u51cf\u5c11 21 \u4e2a\uff09\uff0c\u8986\u76d6 22 \u4e2a\u9886\u57df\u3002\u5176\u4e2d\uff0c39 \u4e2a\u662f\u65b0\u664b\u9879\u76ee\uff0c\u540c\u65f6\u4e5f\u6709 60 \u4e2a\u9879\u76ee\u6d88\u5931\u5728\u821e\u53f0\uff0c\u5176\u4e2d\u4e0d\u4e4f\u4e00\u5ea6\u9ad8\u5149\u7684 Star \u738b\u8005\u2014\u2014<\/p>\n\n\n\n

\u5982 NextChat\u3001OpenManus\u3001FastGPT\u3001GPT4All\uff0c\u56e0\u8fed\u4ee3\u8fdf\u7f13\u3001\u793e\u533a\u4e4f\u529b\u800c\u88ab\u540e\u6765\u8005\u8d85\u8d8a\u3002<\/p>\n\n\n\n

\u6700 drama\u7684\uff0c\u5f53\u5c5e TensorFlow \u7684\u8c22\u5e55\uff0c\u8fd9\u4f4d\u6614\u65e5\u5de8\u661f\u6700\u7ec8\u6ca1\u80fd\u62b5\u6321 PyTorch \u7684\u653b\u52bf\uff0c\u540e\u8005\u81ea\u6b64\u4e00\u7edf\u6c5f\u6e56\u3002<\/p>\n\n\n\n

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

      \u7070\u8272\u90e8\u5206\uff0c\u5373\u4e3a\u51fa\u5c40\u7684\u5f00\u6e90\u9879\u76ee<\/sup><\/p>\n\n\n\n

\u6574\u4f53\u8d8b\u52bf\u662f\u663e\u800c\u6613\u89c1\uff1a\u751f\u6001\u6b63\u5728\u7ecf\u5386\u4e00\u8f6e\u5267\u70c8\u6d17\u724c\u3002\u5c31\u50cf\u5bd2\u6b66\u7eaa\u7684\u300c\u751f\u547d\u5927\u7206\u53d1\u300d\uff0cAgent \u5c42\u6700\u4e3a\u6c79\u6d8c\uff0c\u6df7\u6c8c\u4e4b\u4e2d\uff0c\u5404\u7c7b\u65b0\u7269\u79cd\u5c42\u51fa\u4e0d\u7a77\u3002<\/p>\n\n\n\n

\u53e6\u4e00\u7ec4\u6570\u636e\uff0c\u4e5f\u4fa7\u9762\u5370\u8bc1\u4e86\u8fd9\u4e00\u65fa\u76db\u7684\u65b0\u9648\u4ee3\u8c22\u2014\u2014<\/p>\n\n\n\n

\u7b97\u4e0a\u88ab\u6dd8\u6c70\u7684\u9879\u76ee\uff0c\u6574\u4e2a\u5927\u6a21\u578b\u751f\u6001\u7684\u300c\u4e2d\u4f4d\u5e74\u9f84\u300d\u53ea\u6709 30 \u4e2a\u6708\uff0c\u5e73\u5747\u5bff\u547d\u4e0d\u8db3\u4e09\u5e74\uff0c\u662f\u4e00\u7247\u6781\u5ea6\u5e74\u8f7b\u7684\u4e1b\u6797\u3002<\/p>\n\n\n\n

\u5c24\u5176\u662f\u300cGPT \u65f6\u523b\u300d\u4e4b\u540e\uff08 2022 \u5e74 10 \u6708\uff09\uff0c62% \u7684\u9879\u76ee\u624d\u8bde\u751f\uff0c\u5176\u4e2d 12 \u4e2a\u751a\u81f3\u662f 2025 \u5e74\u7684\u65b0\u9762\u5b54\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u51e0\u4e4e\u6bcf\u4e2a\u5b63\u5ea6\u90fd\u80fd\u770b\u5230\u65b0\u4eba\u767b\u573a\u3001\u65e7\u4eba\u9000\u573a\u3002<\/p>\n\n\n\n

\u66f4\u5938\u5f20\u7684\u662f\uff0c\u8fd9\u4e9b\u5e74\u8f7b\u9879\u76ee\u83b7\u5f97\u4e86\u524d\u6240\u672a\u6709\u7684\u5173\u6ce8\uff1a\u5e73\u5747 Star \u6570\u63a5\u8fd1 3 \u4e07\uff0c\u8fdc\u8d85\u4ee5\u5f80\u540c\u9f84\u7684\u5f00\u6e90\u9879\u76ee\u3002\u5934\u90e8\u524d\u5341\u7684\u9879\u76ee\u51e0\u4e4e\u8986\u76d6\u4e86\u6a21\u578b\u751f\u6001\u7684\u5168\u94fe\u8def\uff0c\u662f\u5f53\u4e0b\u6700\u5177\u4ee3\u8868\u6027\u7684\u793e\u533a\u529b\u91cf\u3002<\/p>\n\n\n\n

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

      \u6700\u6d3b\u8dc3\u7684\u5f00\u6e90\u9879\u76ee Top 10<\/sup><\/p>\n\n\n\n

\u5173\u952e\u8bcd\u8bcd\u4e91\u4e5f\u547c\u5e94\u4e86\u8fd9\u4e00\u8d8b\u52bf\uff1aAI\u3001LLM\u3001Agent\u3001Data\u6210\u4e86\u6700\u5927\u3001\u6700\u4eae\u7684\u51e0\u4e2a\u5b57\u3002<\/p>\n\n\n\n

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

\u5927\u6a21\u578b\u5f00\u53d1\u751f\u6001\u5173\u952e\u8bcd AI\u3001LLM\u3001Agent\u3001Data \u3001Learning\u6b63\u662f\u7b2c\u4e00\u5f20\u56fe\u8868\u4e2d\u6240\u5217\u9879\u76ee\u7684\u4e3b\u8981\u9886\u57df\u3002<\/sup><\/em><\/p>\n\n\n\n

\u53e6\u4e00\u4e2a\u5927\u53d8\u6837\u662f\u5168\u666f\u56fe\u7684\u5206\u7c7b\u6846\u67b6\u3002<\/p>\n\n\n\n

\u56e0\u4e3a\u770b\u8fc7 1.0 \u7248\u672c\uff0c\u6240\u4ee5\u5f53\u6211\u7b2c\u4e00\u6b21\u770b\u5230 2.0 \u5168\u666f\u56fe\u65f6\uff0c\u6700\u76f4\u89c2\u7684\u611f\u53d7\u5c31\u662f\uff1a\u5206\u7c7b\u67b6\u6784\u53d8\u5f97\u66f4\u5177\u4f53\u3001\u66f4\u7ec6\u5206\uff1a<\/p>\n\n\n\n

\u4ece\u5927\u800c\u5316\u4e4b\u7684 Infrastructure \/ Application\uff0c\u8fdb\u5316\u4e3a AI Agent \/ AI Infra \/ AI Data \u4e09\u5927\u677f\u5757\uff0c\u6e05\u6670\u52fe\u52d2\u51fa\u884c\u4e1a\u70ed\u70b9\uff08\u667a\u80fd\u4f53\u4e3a\u4e2d\u5fc3\uff09\uff0c\u548c\u6280\u672f\u6f14\u8fdb\u7684\u8d8b\u52bf\u3002<\/p>\n\n\n\n

\u5982\u679c\u8bf4 1.0 \u7684\u6846\u67b6\u8fd8\u5e26\u7740\u4f20\u7edf\u5f00\u6e90\u8f6f\u4ef6\u751f\u6001\u7684\u5f71\u5b50\uff0c\u90a3\u4e48 2.0 \u5df2\u7ecf\u900f\u51fa\u300c\u667a\u80fd\u4f53\u65f6\u4ee3\u300d\u7684\u6c14\u8d28\u3002<\/p>\n\n\n\n

\u6700\u540e\uff0c\u4ece\u5168\u7403 366,521<\/strong> \u4f4d\u5f00\u53d1\u8005\u7fa4\u50cf\u6765\u770b\uff0c\u4e2d\u7f8e\u53cc\u96c4\u8d21\u732e\u8d85\u8fc7 55%\uff0c\u4f9d\u7136\u662f\u9879\u76ee\u7684\u7edd\u5bf9\u9886\u5bfc\u8005\uff0c\u5176\u4e2d\u7f8e\u56fd\u4ee5 37.41% \u7684\u6bd4\u4f8b\u4f4d\u5c45\u7b2c\u4e00\u3002<\/p>\n\n\n\n

\u5728\u6280\u672f\u9886\u57df\u7684\u7ec6\u5206\u8d21\u732e\u4e2d\uff0c\u7f8e\u56fd\u5728 AI Infra \u548c AI Data \u4e0a\u4f18\u52bf\u660e\u663e\u3002<\/p>\n\n\n\n

\u5982\uff0cAI Infra\uff0c\u7f8e\u56fd\u8d21\u732e\u5ea6\u8fbe 43.39%\uff0c\u662f\u6392\u540d\u7b2c\u4e8c\u7684\u4e2d\u56fd\u7684\u4e24\u500d\u591a\uff1b\u800c\u5728 AI Data \u7684\u9886\u5148\u4f18\u52bf\u66f4\u4e3a\u660e\u663e\u3002<\/p>\n\n\n\n

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

\u4e2d\u56fd\u5728\u5177\u4f53\u5e94\u7528\u5c42\uff08 AI Agent \uff09\u5219\u8868\u73b0\u63a5\u8fd1\u7f8e\u56fd\uff0c\u4e24\u56fd\u8d21\u732e\u5ea6\u5206\u522b\u4e3a 21.5% \u548c 24.62% \uff0c\u8fd9\u4e0e\u4e2d\u56fd\u5f00\u53d1\u8005\u5728 Agent \u5c42\u9762\u7684\u6295\u5165\u66f4\u591a\u5bc6\u5207\u76f8\u5173\u3002<\/p>\n\n\n\n

\u5236\u56fe\u8bba\u7684\u8fdb\u5316<\/strong><\/p>\n\n\n\n

\u4e3a\u4ec0\u4e48\u8981\u628a\u65b9\u6cd5\u8bba\u653e\u5728\u524d\u9762\u8bb2\uff1f\u7b54\u6848\u5f88\u7b80\u5355\u2014\u2014\u54ea\u4e9b\u9879\u76ee\u80fd\u591f\u8fdb\u5165 2.0 \u5168\u666f\u56fe\uff0c\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d6\u51b3\u4e8e\u65b9\u6cd5\u8bba\u53d8\u4e86\u3002<\/p>\n\n\n\n

1.0 \u7248\u672c\u7684\u65b9\u6cd5\u8bba\u662f\u300c\u4ece\u5df2\u77e5\u51fa\u53d1\u300d\u2014\u2014\u88ab\u5e7f\u6cdb\u8ba8\u8bba\u7684\u5934\u90e8\u9879\u76ee\uff0c\u6bd4\u5982 PyTorch\u3001vLLM\u3001LangChain\uff0c\u518d\u901a\u8fc7\u5b83\u4eec\u7684\u534f\u4f5c\u548c\u4f9d\u8d56\u5173\u7cfb\u5411\u5916\u5ef6\u4f38\u3002<\/p>\n\n\n\n

\u4f46\u51fa\u53d1\u70b9\u51b3\u5b9a\u8fb9\u754c\uff1a\u4f60\u4ece\u54ea\u4e9b\u79cd\u5b50\u9879\u76ee\u51fa\u53d1\uff0c\u5c31\u51b3\u5b9a\u4e86\u80fd\u770b\u89c1\u7684\u751f\u6001\u8303\u56f4\u3002\u90a3\u65f6\u7684\u5165\u9009\u95e8\u69db\u662f OpenRank \uff08\u534e\u4e1c\u5e08\u8303\u5927\u5b66 X-lab \u5f00\u53d1\u7684\u5f00\u6e90\u5f71\u54cd\u529b\u6307\u6807\uff09\u6708\u5747\u503c \u2265 10\u3002<\/p>\n\n\n\n

\u800c 2.0 \u7248\u672c\u76f4\u63a5\u62c9\u53d6 GitHub \u5168\u57df\u9879\u76ee\u7684 OpenRank \u6392\u540d\uff0c\u7b5b\u9009\u51fa\u5927\u6a21\u578b\u76f8\u5173\u9879\u76ee\uff0c\u4e0d\u4ec5\u5927\u5e45\u51cf\u5c11\u4e86\u8d77\u70b9\u504f\u89c1\uff0c\u4e5f\u66f4\u654f\u611f\u4e8e\u65b0\u9879\u76ee\u7684\u7206\u53d1\u529b\u3002\u7ed3\u679c\u662f\uff0c\u66f4\u591a\u9ad8\u70ed\u5ea6\u3001\u9ad8\u6d3b\u8dc3\u5ea6\u7684\u9879\u76ee\u88ab\u53d1\u73b0\uff0c\u5165\u9009\u9608\u503c\u4e5f\u76f8\u5e94\u63d0\u9ad8\u5230\u5f53\u6708 OpenRank > 50\u3002<\/p>\n\n\n\n

\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u8bf4\uff0c2.0 \u66f4\u5951\u5408\u8682\u8681\u300c\u5f00\u6e90\u6280\u672f\u589e\u957f\u300d\u56e2\u961f\u505a\u8fd9\u4ef6\u4e8b\u7684\u521d\u8877\uff1a\u5bf9\u5185\uff0c\u4e3a\u4f01\u4e1a\u51b3\u7b56\u63d0\u4f9b\u4f9d\u636e\uff1b\u5bf9\u5916\uff0c\u4e3a\u5f00\u6e90\u4e16\u754c\u7684\u300c\u5377\u738b\u4eec\u300d\u70b9\u4eae\u6307\u5357\u3002<\/p>\n\n\n\n

\u5728\u8fd9\u5957\u65b0\u65b9\u6cd5\u4e0b\uff0c\u4e09\u5927\u4e3b\u529b\u8d5b\u9053\u8131\u9896\u800c\u51fa\uff1aAI Coding\u3001Model Serving \u3001LLMOps<\/strong>\u3002<\/p>\n\n\n\n

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

\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4ece\u5e94\u7528\u5c42\u4e00\u8def\u8ffd\u6eaf\u5230\u5e95\u5c42 Infra\uff0c\u9010\u4e00\u68b3\u7406\u8fd9\u80a1\u6d2a\u6d41\u4e2d\u7684\u5173\u952e\u53d8\u5316\u3002<\/p>\n\n\n\n

AI Agent \uff1aAI Coding \u75af\u9b54\u4e86<\/strong><\/p>\n\n\n\n

2.0 \u5168\u666f\u56fe\u4e0a\u7684 AI Agent \u5df2\u7ecf\u4ece\u4e00\u4e2a\u300c\u767e\u5b9d\u7bb1\u300d\u5f0f\u7684\u5de5\u5177\u5806\uff0c\u6f14\u5316\u4e3a\u7c7b\u4f3c\u4e91\u8ba1\u7b97\u7684\u5206\u5c42\u4f53\u7cfb\u2014\u2014<\/p>\n\n\n\n

AI Coding\u3001Agent Workflow Platform\u3001Agent Framework\u3001Agent Tool \u7b49\u7c7b\u522b\u9f50\u5907\uff0c\u4e13\u4e1a\u4e0e\u6e05\u6670\u5ea6\u5927\u5e45\u63d0\u5347\uff0c\u793e\u533a\u6b63\u7ecf\u5386\u4ece\u91ce\u86ee\u751f\u957f\u8d70\u5411\u7cfb\u7edf\u5206\u5316\u7684\u8fc7\u7a0b\u3002<\/p>\n\n\n\n

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

      2.0\u7684AI Agent \u5c42<\/sup><\/p>\n\n\n\n

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

      AI Agent \u7684\u8fed\u4ee3\u7ecf\u5386\u72b9\u5982\u8fc7\u5c71\u8f66\u3002<\/sup><\/p>\n\n\n\n

\u76ee\u524d\uff0cAI Agent \u5730\u8868\u53d8\u52a8\u5267\u70c8\uff0c\u5c31\u50cf\u4e00\u7247\u65b0\u5927\u9646\uff0c\u6bcf\u4e2a\u4eba\u90fd\u5728\u62a2\u5148\u63d2\u65d7\u3002AI Coding\u3001Chatbot\u3001Workflow Platform \u7b49\u65b9\u5411\u63a5\u8fde\u6d8c\u73b0\u51fa\u65b0\u7684\u9ad8\u70ed\u5ea6\u9879\u76ee\u3002<\/p>\n\n\n\n

\u66f4\u6709\u610f\u601d\u7684\u662f\uff0c2.0 \u7248\u8fd8\u654f\u9510\u6355\u6349\u5230 AI \u4e0e\u7269\u7406\u4e16\u754c\u6df1\u5ea6\u7ed3\u5408\u7684\u8ff9\u8c61\u2014\u2014\u300c\u5c0f\u667a\u300d\u5c1d\u8bd5\u628a\u5927\u6a21\u578b\u8dd1\u5728\u4f4e\u529f\u8017\u82af\u7247\u4e0a\uff0cGenesis \u5219\u9762\u5411\u901a\u7528\u673a\u5668\u4eba\u63d0\u4f9b\u7269\u7406\u4eff\u771f\u5e73\u53f0\u3002<\/p>\n\n\n\n

\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9010\u4e00\u62c6\u89e3\u7ec6\u5206\u9886\u57df\u7684\u53d8\u5316\u3002<\/p>\n\n\n\n

1\u3001\u4ece\u75af\u5230\u766b\uff0cAI Coding \u589e\u957f\u66f2\u7ebf\u4ecd\u5728\u9661\u5347<\/strong><\/p>\n\n\n\n

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

\u9664\u4e86 Cline\u3001Continue\u3001OpenHands \u7b49\u5e38\u9a7b\u300c\u9738\u699c\u300d\u9879\u76ee\u5916\uff0c\u65b0\u9762\u5b54\u4e0d\u65ad\u6d8c\u73b0\u2014\u2014Gemini\u3001marimo\u3001Codex CLI\uff0c\u4ee5\u53ca\u5b9a\u4f4d\u4e3a Claude Code 100% \u5f00\u6e90\u66ff\u4ee3\u7684 OpenCode\u3002\u4e8b\u5b9e\u518d\u6b21\u8bc1\u660e\uff0c\u300cAgent for Devs\u300d\u4ecd\u662f\u6700\u9ad8\u9891\u3001\u6700\u521a\u9700\u7684\u5e94\u7528\u573a\u666f\u3002<\/p>\n\n\n\n

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

2025 \u5e74\u7684 AI Coding \u5df2\u7ecf\u5b8c\u6210\u4e86\u4ece\u300c\u8865\u4ee3\u7801\u300d\u5230\u300c\u5168\u751f\u547d\u5468\u671f\u667a\u80fd\u5f15\u64ce\u300d\u7684\u8de8\u8d8a\uff1a\u80fd\u505a\u7684\u4e8b\u66f4\u591a\uff0c\u4ece\u5f00\u53d1\u5230\u8fd0\u7ef4\u5168\u94fe\u8def\u8986\u76d6\uff1b\u505a\u4e8b\u7684\u65b9\u5f0f\u66f4\u806a\u660e\uff0c\u652f\u6301\u591a\u6a21\u6001\u3001\u4e0a\u4e0b\u6587\u611f\u77e5\u4e0e\u56e2\u961f\u534f\u540c\u3002<\/p>\n\n\n\n

\u62a5\u544a\u9884\u6d4b\uff0c\u5e02\u573a\u4e5f\u5c06\u968f\u4e4b\u91ca\u653e\u51fa\u5de8\u5927\u7684\u5546\u4e1a\u5316\u6f5c\u529b\u2014\u2014\u4ed8\u8d39\u8ba2\u9605\u3001SaaS \u670d\u52a1\u4e0e\u589e\u503c\u529f\u80fd\uff0c\u5c06\u6210\u4e3a\u65b0\u7684\u76c8\u5229\u6a21\u5f0f\u3002<\/p>\n\n\n\n

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

      AI Coding \u5df2\u7ecf\u5b8c\u6210\u4e86\u4ece\u300c\u8865\u4ee3\u7801\u300d\u8fdb\u5316\u5230\u80fd\u505a\u7684\u4e8b\u66f4\u591a\uff0c\u505a\u4e8b\u7684\u65b9\u5f0f\u66f4\u806a\u660e\u3002<\/sup><\/p>\n\n\n\n

\u8fd9\u79cd\u8d8b\u52bf\u5728\u884c\u4e1a\u4ea4\u6d41\u4e2d\u611f\u53d7\u5c24\u6df1\u3002\u8fd9\u6b21\u4e0a\u6d77\u5916\u6ee9\u5927\u4f1a\u4e0a\uff0c\u6709\u5609\u5bbe\u76f4\u8a00 AI Coding \u5de5\u5177\u5377\u5230\u7528\u4e0d\u8fc7\u6765\uff1b\u53e6\u4e00\u4f4d\u6df1\u8015 AI \u7f16\u7801\u7684 CEO \u5219\u900f\u9732\uff0c\u56e2\u961f\u6240\u6709\u6210\u5458\u7684 AI \u5de5\u5177\u62a5\u9500\u5df2\u8d85 200 \u7f8e\u5143\u3002<\/p>\n\n\n\n

\u51e0\u4e2a\u6708\u524d\uff0cAI \u4ee3\u7801\u8fd8\u9700\u8981\u5927\u91cf\u4eba\u5de5\u4fee\u6b63\uff1b\u5982\u4eca\u8d28\u91cf\u98de\u5347\uff0c\u53ea\u9700\u8f7b\u91cf\u4fee\u6539\u5373\u53ef\u3002\u4e0b\u4e00\u6b65\uff0cAI \u7f16\u7a0b\u6216\u8bb8\u4f1a\u4ece\u300c\u5199\u4ee3\u7801\u300d\u8dc3\u8fc1\u5230\u300c\u4e3b\u5bfc\u6574\u4e2a\u5de5\u4f5c\u6d41\u300d\u3002<\/p>\n\n\n\n

\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cGemini CLI\u3001Codex CLI \u7684\u8d70\u7ea2\u4e5f\u91ca\u653e\u51fa\u5927\u5382\u7684\u6218\u7565\u4fe1\u53f7\uff1a\u901a\u8fc7\u5f00\u6e90\u5de5\u5177\u94fe\u7ed1\u5b9a\u5f00\u53d1\u8005\uff0c\u628a\u4ed6\u4eec\u9501\u5165\u81ea\u5bb6\u95ed\u6e90\u6a21\u578b\u7684\u751f\u6001\u3002<\/p>\n\n\n\n

\u8fd9\u4e0e\u5fae\u8f6f\u5f53\u5e74\u7684 Windows + .NET\u3001\u82f9\u679c\u7684 iOS + Swift \u5982\u51fa\u4e00\u8f99\u3002\u4eca\u5929\u7684AI \u5de8\u5934\uff0c\u6b63\u5728\u7528\u76f8\u540c\u7684\u8def\u5f84\u91cd\u5851\u65b0\u4e00\u8f6e\u5f00\u53d1\u8005\u751f\u6001\u3002<\/p>\n\n\n\n

2\u3001Chatbot & Knowledge Management \u9ad8\u5149\u540e\u7684\u7406\u6027\u56de\u5f52<\/strong><\/p>\n\n\n\n

Chatbot \u662f GenAI \u5e94\u7528\u7684\u7b2c\u4e00\u6ce2\u7206\u6b3e\uff0cCherry Studio\u3001Open WebUI\u3001Lobe Chat\u3001LibreChat \u5728 2025 \u5e74\u521d\u8fce\u6765\u9876\u5cf0\uff0c\u6536\u83b7\u4e86\u5927\u91cf\u5173\u6ce8\u4e0e\u8d21\u732e\u3002\u4f46\u70ed\u5ea6\u672a\u80fd\u6301\u7eed\u30025 \u6708\u4e4b\u540e\uff0cChatbot \u8fdb\u5165\u5e73\u53f0\u671f\uff0c\u9010\u6e10\u964d\u6e29\u3002<\/p>\n\n\n\n

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

Lobe-Chat \u4ee5\u65e5\u66f4\u8282\u594f\uff0c\u7528\u6846\u67b6\u5c06\u300cChatGPT \u5f0f\u5bf9\u8bdd\u300d\u964d\u7ef4\u5230\u4eba\u4eba\u53ef\u81ea\u5efa\u7684\u4f53\u9a8c\u3002\u7136\u800c\uff0c\u968f\u7740\u529f\u80fd\u8d8b\u8fd1\u5b8c\u5907\uff0c\u7528\u6237\u4e5f\u53d1\u73b0 Chatbot \u6838\u5fc3\u4ef7\u503c\u4ecd\u662f\u300c\u5bf9\u8bdd\u300d\uff0c\u800c\u5bf9\u8bdd\u5728\u751f\u4ea7\u529b\u4e0a\u7684\u7a81\u7834\u6709\u9650\u3002<\/p>\n\n\n\n

Cherry Studio \u5f00\u8f9f\u4e86\u53e6\u4e00\u6761\u8def\u5f84\uff1a\u628a Chatbot \u4e0e\u77e5\u8bc6\u5e93\/\u7b14\u8bb0\u7ed3\u5408\uff0c\u5b9a\u4f4d\u4e8e\u300c\u4e2a\u4eba\u77e5\u8bc6\u52a9\u7406\u300d\uff0c\u66f4\u8d34\u8fd1\u957f\u671f\u751f\u4ea7\u529b\u9700\u6c42\u3002\u8fd9\u53ef\u80fd\u4e5f\u662f\u5b83\u9006\u52bf\u4e0a\u699c\u7684\u539f\u56e0\u2014\u2014\u65b0\u8fdb\u9879\u76ee\u4e2d\u6d3b\u8dc3\u5ea6\u7b2c\u4e8c\uff0c\u603b\u4f53\u4f4d\u5217\u7b2c\u4e03\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u964d\u6e29\u5e76\u4e0d\u610f\u5473\u7740\u8870\u9000\u3002Lobe-Chat \u4f9d\u7136\u4fdd\u6301 64.7k star \u7684\u4f53\u91cf\uff0c\u65e5\u66f4\u8282\u594f\u4ece\u672a\u505c\u6b47\u3002\u53ea\u662f\u76f8\u8f83 Memory\u3001Agent \u7b49\u66f4\u4ee4\u4eba\u5174\u594b\u7684\u65b9\u5411\uff0cChatbot \u4e0d\u518d\u662f\u552f\u4e00\u7684\u7126\u70b9\uff0c\u800c\u5f00\u59cb\u56de\u5f52\u7406\u6027\u3002<\/p>\n\n\n\n

3\u3001Agent Workflow Platform \u6c89\u6dc0\u4e3a\u771f\u6b63\u7684\u57fa\u7840\u8bbe\u65bd<\/strong><\/p>\n\n\n\n

\u5f53 GPT-5\u3001Claude\u3001Gemini\u7b49\u9876\u5c16\u6a21\u578b\u8d8b\u540c\uff0cAI \u5e94\u7528\u7684\u5dee\u5f02\u5316\u8d8a\u6765\u8d8a\u4f9d\u8d56\u300c\u8bb0\u5fc6\u300d\u3002\u8fd9\u50ac\u751f\u4e86\u4e00\u5927\u6279 RAG + Agent \u9879\u76ee\uff0c\u6210\u4e3a\u5f00\u6e90\u70ed\u70b9\u3002<\/p>\n\n\n\n

RAGFlow\u3001MaxKB\uff08\u4e13\u6ce8\u77e5\u8bc6\u5e93\u95ee\u7b54\uff09\u3001FastGPT\uff08\u8f7b\u91cf RAG \u5e73\u53f0\uff09\u3001Flowise AI\uff08\u4e3b\u6253 RAG-based QA \u7684\u53ef\u89c6\u5316\u5de5\u4f5c\u6d41\u5de5\u5177\uff09\u90fd\u5728\u8fd9\u4e00\u6ce2\u6d6a\u6f6e\u4e2d\u8d70\u7ea2\u3002<\/p>\n\n\n\n

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

      \u5c3d\u7ba1\u8d8b\u52bf\u56de\u843d\uff0c\u4f46 7 \u6708\u4efd\u7684 OpenRank (1418) \u4ecd\u7136\u8fdc\u9ad8\u4e8e 1 \u6708\u4efd\u7684\u8d77\u59cb\u70b9\u3002<\/sup><\/em><\/p>\n\n\n\n

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

\u76f8\u6bd4\u4e4b\u4e0b\uff0cDify \u7684\u5e03\u5c40\u66f4\u5b8c\u6574\uff1a\u4e0d\u4ec5\u8986\u76d6 RAG \u548c Agent \u5de5\u4f5c\u6d41\uff0c\u8fd8\u63d0\u4f9b\u5e94\u7528\u53d1\u5e03\u3001\u7528\u6237\u7ba1\u7406\u3001\u53ef\u89c2\u6d4b\u6027\u7b49\u4f01\u4e1a\u7ea7\u80fd\u529b\uff0c\u5f62\u6210\u4ece\u539f\u578b\u5230\u751f\u4ea7\u7684\u4e00\u7ad9\u5f0f\u5e73\u53f0\uff0c\u5728\u793e\u533a\u5f71\u54cd\u529b\u548c\u5546\u4e1a\u5316\u4e0a\u660e\u663e\u9886\u5148\u3002<\/p>\n\n\n\n

\u4e0e\u6b64\u540c\u65f6\uff0c\u65b0\u7684\u63a2\u7d22\u5f00\u59cb\u7a81\u7834\u4f20\u7edf RAG \u7684\u8fb9\u754c\u3002\u5982 Letta\uff08\u5c1a\u672a\u4e0a\u699c\uff09\u5c1d\u8bd5\u5f15\u5165\u300c\u79bb\u7ebf\u5b66\u4e60\u300d\uff0c\u8ba9 Agent \u4e0d\u4ec5\u80fd\u4f9d\u8d56\u68c0\u7d22\uff0c\u8fd8\u80fd\u771f\u6b63\u4ece\u7ecf\u9a8c\u4e2d\u5b66\u4e60\u6539\u8fdb\u3002\u8fd9\u610f\u5473\u7740 Agent Workflow \u672a\u6765\u53ef\u80fd\u4ece\u300c\u68c0\u7d22\u589e\u5f3a\u300d\u8d70\u5411\u300c\u957f\u671f\u5b66\u4e60\u300d\uff0c\u4e3a\u5e94\u7528\u5f00\u8f9f\u66f4\u5e7f\u9614\u7684\u7a7a\u95f4\u3002<\/p>\n\n\n\n

4\u3001Agent Tool \u7206\u6b3e\u9891\u51fa<\/strong><\/p>\n\n\n\n

Agent Tool \u9488\u5bf9\u5927\u6a21\u578b\u7684\u786c\u4f24\uff0c\u8865\u9f50\u77ed\u677f\uff0c\u8ba9 AI \u4ece\u300c\u80fd\u804a\u300d\u8d70\u5411\u300c\u80fd\u505a\u300d\u3002\u56e0\u6b64\uff0c\u8fd9\u4e00\u9886\u57df\u6210\u4e3a\u5f53\u4e0b\u6700\u7099\u624b\u53ef\u70ed\u7684\u521b\u65b0\u8d5b\u9053\uff0c\u7206\u6b3e\u9891\u51fa\u3002<\/p>\n\n\n\n

LiteLLM\u3001Supabase\u3001Vercel\u3001ComfyUI\u3001mem0 \u5404\u81ea\u5207\u5165\u5173\u952e\u73af\u8282\uff0c\u63a8\u7406\u8c03\u7528\u3001\u6570\u636e\u5b58\u50a8\u3001\u8bb0\u5fc6\u7ba1\u7406\u3001\u5916\u90e8\u4ea4\u4e92\u5c42\u5c42\u63a8\u8fdb AI \u7684\u80fd\u529b\u8fb9\u754c\u3002<\/p>\n\n\n\n

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

\u6bd4\u5982 mem0 \u8d4b\u4e88 Agent \u957f\u671f\u8bb0\u5fc6\u4e0e\u4e0a\u4e0b\u6587\u611f\u77e5\uff1bSupabase \u5feb\u901f\u8fdb\u5316\u6210 GenAI \u65f6\u4ee3\u7684\u6570\u636e\u57fa\u7840\u8bbe\u65bd\uff0c\u89e3\u51b3\u4e86\u5b9e\u65f6\u4fe1\u606f\u4e0e\u8bb0\u5fc6\u7ba1\u7406\u7684\u7f3a\u5931\u95ee\u9898\u3002<\/p>\n\n\n\n

\u800c Browser-use \u66f4\u662f\u5728 9 \u4e2a\u6708\u62ff\u4e0b 60K star\uff0c\u8ba9 Agent \u771f\u6b63\u5b66\u4f1a\u64cd\u4f5c\u7f51\u9875\uff0c\u6210\u4e3a\u300c\u843d\u5730\u6700\u540e\u4e00\u516c\u91cc\u300d\u7684\u6807\u5fd7\u6027\u9879\u76ee\u3002<\/p>\n\n\n\n

5\u3001Agent Framework\u4e0b\u8dcc\u660e\u663e<\/strong><\/p>\n\n\n\n

2.0 \u7248\u4e2d\uff0c\u8dcc\u5e45\u6700\u5927\u7684\u9879\u76ee\u6709\u56db\u4e2a\u90fd\u5c5e\u4e8e Agent \u7f16\u6392\u6846\u67b6\uff1aEliza\u3001LangChain\u3001LlamaIndex\u3001AutoGen\u3002<\/p>\n\n\n\n

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

\u4e00\u65b9\u9762\u8fd9\u4e9b\u5934\u90e8\u9879\u76ee\u5728\u793e\u533a\u6295\u5165\u6536\u7f29\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u793e\u533a\u6ce8\u610f\u529b\u6b63\u4ece\u901a\u7528\u6846\u67b6\u8f6c\u5411\u5e94\u7528\u843d\u5730\uff1a\u8bb0\u5fc6\u3001\u5de5\u5177\u8c03\u7528\u3001\u4ea4\u4e92\u754c\u9762\u7b49\u66f4\u7ec6\u9897\u7c92\u5ea6\u7684\u521b\u65b0\uff0c\u6b63\u5728\u4e3a\u672a\u6765\u66f4\u5f3a\u81ea\u6cbb\u7684 AI \u7cfb\u7edf\u6253\u4e0b\u57fa\u7840\u3002<\/p>\n\n\n\n

\u4e0d\u8fc7\uff0cCamel-AI\u3001CrewAI\u3001Agno\u3001ELIZA.OS\u7684\u5192\u5934\uff0c\u663e\u793a\u300c\u534f\u4f5c\u667a\u80fd\u4f53\u300d\u6b63\u6536\u83b7\u66f4\u591a\u5173\u6ce8\u3002<\/p>\n\n\n\n

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

LiveKit Agents \u7684\u4e0a\u699c\u540c\u6837\u5178\u578b\uff0c\u5b83\u4e13\u6ce8\u5b9e\u65f6\u4ea4\u4e92\u573a\u666f\uff0c\u5982\u8bed\u97f3\u5bf9\u8bdd\u3001\u591a\u4eba\u534f\u4f5c\uff0c\u8fd9\u5728\u8fc7\u53bb\u662f\u56fe\u8c31\u91cc\u51e0\u4e4e\u6ca1\u6709\u8986\u76d6\u7684\u3002<\/p>\n\n\n\n

AI Infra\uff1a\u6a21\u578b\u670d\u52a1\u72c2\u98d9\u4f9d\u65e7\u3001LLMOps\u63a5\u68d2MLOps<\/strong><\/p>\n\n\n\n

\u867d\u7136\u8fdc\u4e0d\u5982 Agent \u5c42\u7684\u300c\u751f\u547d\u5927\u7206\u53d1\u300d\uff0c\u4f46\u5728 AI Infra \u7684\u9759\u6c34\u6df1\u6d41\u4e2d\uff0c\u4ecd\u80fd\u770b\u5230\u51e0\u9053\u6d8c\u52a8\u7684\u6ce2\u6f9c\u2014\u2014<\/p>\n\n\n\n

\u4e91\u7aef\u63a8\u7406\u6301\u7eed\u5185\u5377\u3001\u8f7b\u91cf\u63a8\u7406\u7684\u5f00\u82b1\u3001\u6108\u53d1\u4e13\u5316\u7684 LLMOps\u3002<\/p>\n\n\n\n

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

      2.0\u7248\u672c\u7684AI Infra<\/sup><\/p>\n\n\n\n

1\u3001\u4e3b\u529b\u8d5b\u9053 Model Serving\uff0c\u70ed\u529b\u4e0d\u51cf<\/strong><\/p>\n\n\n\n

\u5728 2.0 \u7248\u672c\u91cc\uff0c\u552f\u4e8c\u80fd\u4e0e AI Coding \u6b63\u9762\u5bf9\u6807\u7684\u8d5b\u9053\u5c31\u662f Model Serving\u3002<\/p>\n\n\n\n

\u5927\u6a21\u578b\u8981\u843d\u5730\uff0c\u63a8\u7406\u7684\u6548\u7387\u3001\u6210\u672c\u3001\u5b89\u5168\u6027\u662f\u7ed5\u4e0d\u8fc7\u53bb\u7684\u95e8\u69db\u3002\u4ece 2023 \u5e74\u4ee5\u6765\uff0c\u8fd9\u6761\u8d5b\u9053\u5c31\u6301\u7eed\u9ad8\u70e7\u4e0d\u9000\uff0c\u4f9d\u7136\u662f AI Infra \u7684\u4e3b\u6218\u573a\u3002<\/p>\n\n\n\n

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\u4f5c\u4e3a Bonus\uff0c2.0 \u7248\u672c\u8fd8\u7279\u610f\u68b3\u7406\u4e86 2025 \u5e74 1 \u6708\u81f3\u4eca\u56fd\u5185\u5916\u4e3b\u6d41\u5382\u5546\u7684\u5927\u6a21\u578b\u53d1\u5e03\u65f6\u95f4\u7ebf\uff0c\u5305\u542b\u5f00\u6e90\u3001\u95ed\u6e90\u6a21\u578b\uff0c\u53d1\u73b0\u4e86\u4e00\u4e9b\u6709\u8da3\u7684\u73b0\u8c61\u3002<\/p>\n\n\n\n

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

\u8fd9\u5f20\u5168\u666f\u56fe\u4e5f\u6807\u6ce8\u4e86\u6bcf\u4e2a\u6a21\u578b\u7684\u53c2\u6570\u3001\u6a21\u6001\u7b49\u5173\u952e\u4fe1\u606f\uff0c\u5e2e\u52a9\u7406\u89e3\u5f53\u4e0b\u5404\u5bb6\u5382\u5546\u7684\u767d\u70ed\u5316\u7ade\u4e89\u7a76\u7adf\u662f\u5728\u54ea\u4e9b\u65b9\u5411\u4e0a\u5c55\u5f00\u7684\u3002<\/sup><\/p>\n\n\n\n

1. \u8def\u7ebf\u5206\u5316\uff1a\u5f00\u6e90 vs \u95ed\u6e90<\/strong><\/p>\n\n\n\n

\u4e2d\u56fd\u7684\u5f00\u6e90\u6a21\u578b\u4f9d\u65e7\u767e\u82b1\u9f50\u653e\uff0c\u800c\u56fd\u5916\u9876\u5c16\u5382\u5546\u5219\u6301\u7eed\u62bc\u6ce8\u95ed\u6e90\u3002\u66fe\u51ed Llama \u7cfb\u5217\u5bf9\u6297\u95ed\u6e90\u9635\u8425\u7684 Meta\uff0c\u5982\u4eca\u4e5f\u9010\u6e10\u6536\u7d27\u5f00\u6e90\u8282\u594f\u3002\u624e\u514b\u4f2f\u683c\u5728\u516c\u5f00\u4fe1\u4e2d\u76f4\u8a00\uff0c\u300c\u4f1a\u66f4\u8c28\u614e\u5730\u9009\u62e9\u5f00\u6e90\u4ec0\u4e48\u300d\u3002Llama 4 \u53e3\u7891\u6ed1\u94c1\u5362\uff0c\u66f4\u8ba9 Meta \u7684\u5904\u5883\u5c34\u5c2c\u3002<\/p>\n\n\n\n

\u8fd9\u4e5fCallback \u4e86\u963f\u91cc\u4e91\u521b\u59cb\u4eba\u3001\u4e4b\u6c5f\u5b9e\u9a8c\u5ba4\u4e3b\u4efb\u738b\u575a\u5728\u4e0a\u6d77\u5916\u6ee9\u5927\u4f1a\u5f00\u5e55\u5f0f\u4e0a\u7684\u5224\u65ad\uff1a\u5f00\u6e90\u4e0e\u95ed\u6e90\u7684\u9009\u62e9\uff0c\u5df2\u6210\u4e3a AI \u7ade\u4e89\u7684\u5173\u952e\u53d8\u91cf\u3002<\/p>\n\n\n\n

2. MoE \u67b6\u6784\u666e\u53ca\uff0c\u53c2\u6570\u76f4\u51b2\u4e07\u4ebf<\/strong><\/p>\n\n\n\n

DeepSeek\u3001Qwen\u3001Kimi \u7b49\u65b0\u65d7\u8230\uff0c\u5168\u9762\u91c7\u7528\u4e13\u5bb6\u6df7\u5408\uff08 MoE \uff09\u67b6\u6784\u3002\u51ed\u501f\u300c\u7a00\u758f\u6fc0\u6d3b\u300d\uff0c\u6a21\u578b\u603b\u53c2\u6570\u53ef\u4ee5\u98d9\u5347\u5230\u4e07\u4ebf\u7ea7\u522b\uff0c\u5374\u53ea\u5728\u63a8\u7406\u65f6\u6fc0\u6d3b\u4e00\u5c0f\u90e8\u5206\u3002K2\u3001Claude Opus\u3001o3 \u7b49\u5de8\u578b\u6a21\u578b\u76f8\u7ee7\u767b\u573a\uff0c\u6027\u80fd\u83b7\u5f97\u8dc3\u5347\uff0c\u4f46\u4e5f\u5c06\u8bad\u7ec3\u548c\u63a8\u7406\u7684\u7b97\u529b\u6d88\u8017\u63a8\u81f3\u65b0\u9ad8\u70b9\u3002<\/p>\n\n\n\n

3. Reasoning\uff1a\u65b0\u6807\u914d<\/strong><\/p>\n\n\n\n

\u5982\u679c\u8bf4\u53bb\u5e74\u6a21\u578b\u53d1\u5e03\u62fc\u7684\u662f\u300c\u89c4\u6a21\u300d\uff0c\u4eca\u5e74\u6bd4\u62fc\u7684\u5c31\u662f\u300c\u63a8\u7406\u300d\u3002DeepSeek R1 \u501f\u52a9\u5f3a\u5316\u5b66\u4e60\u5927\u5e45\u589e\u5f3a\u81ea\u52a8\u5316\u63a8\u7406\u548c\u590d\u6742\u51b3\u7b56\u80fd\u529b\uff0c\u8ba9Reasoning \u6210\u4e3a\u4eca\u5e74\u6a21\u578b\u53d1\u5e03\u7684\u6807\u914d\u529f\u80fd\u3002Qwen\u3001Claude\u3001Gemini \u751a\u81f3\u5f15\u5165\u300c\u5feb\u601d\/\u6162\u60f3\u300d\u7684\u6df7\u5408\u6a21\u5f0f\uff0c\u8ba9\u6a21\u578b\u50cf\u4eba\u4e00\u6837\u5728\u4efb\u52a1\u95f4\u5207\u6362\u53cd\u5e94\u901f\u5ea6\u3002<\/p>\n\n\n\n

4. \u591a\u6a21\u6001\uff1a\u5168\u9762\u7206\u53d1<\/strong><\/p>\n\n\n\n

\u8fc7\u53bb\u534a\u5e74\uff0c\u6700\u5f3a\u7684\u5927\u8111\u4eec\u4e0d\u518d\u53ea\u76ef\u5728\u8bed\u8a00\u6a21\u578b\uff0c\u591a\u6a21\u6001\u8d5b\u9053\u5f00\u59cb\u5377\u4e86\u8d77\u6765\u3002\u8bed\u8a00\u3001\u56fe\u50cf\u3001\u8bed\u97f3\u4ea4\u4e92\u6210\u4e3a\u6807\u914d\uff0c\u4e2d\u56fd\u5382\u5546\u5728\u95ed\u6e90\u4e0e\u5f00\u6e90\u4e24\u6761\u7ebf\u4e0a\u90fd\u53d6\u5f97\u5168\u7403\u9886\u5148\u3002<\/p>\n\n\n\n

\u4e0e\u6b64\u540c\u65f6\uff0c\u8bed\u97f3\u6a21\u6001\u751f\u6001\u4e5f\u5728\u5174\u8d77\uff1aPipecat\u3001LiveKit Agents\u3001CosyVoice \u7b49\u5de5\u5177\u94fe\u6b63\u5728\u5feb\u901f\u8865\u5168\u7248\u56fe\u3002<\/p>\n\n\n\n

\u4e0d\u8fc7\uff0c\u8ddd\u79bb\u89c6\u9891\u6a21\u6001\u771f\u6b63\u6210\u719f\uff0c\u751a\u81f3 AGI \u7684\u843d\u5730\uff0c\u4ecd\u6709\u4e0d\u77ed\u7684\u8def\u8981\u8d70\u3002<\/p>\n\n\n\n

5. \u6a21\u578b\u8bc4\u4ef7\uff1a\u591a\u5143\u5316<\/strong><\/p>\n\n\n\n

\u591a\u6a21\u6001\u7684\u5168\u9762\u7206\u53d1\uff0c\u4e5f\u5e26\u52a8\u4e86\u8bc4\u4ef7\u4f53\u7cfb\u7684\u591a\u5143\u5316\u3002\u6709\u4eba\u4f9d\u65e7\u4fe1\u8d56 Design Arena\u3001LMArena \u8fd9\u6837\u7684\u300c\u4eba\u6295\u7968\u300d\u5e73\u53f0\uff0c\u7528\u4e3b\u89c2\u504f\u597d\u6765\u5224\u65ad\u6a21\u578b\u4f18\u52a3\u3002\u4e5f\u6709\u4eba\u66f4\u770b\u91cd\u5ba2\u89c2\u6d4b\u8bd5\u96c6\u7684\u5206\u6570\uff0c\u7528\u6807\u51c6\u7b54\u6848\u6765\u8861\u91cf\u6a21\u578b\u8868\u73b0\u3002<\/p>\n\n\n\n

\u4e0e\u6b64\u540c\u65f6\uff0c\u4ee5 OpenRouter \u4e3a\u4ee3\u8868\u7684 API \u7f51\u5173\u5e73\u53f0\uff0c\u51ed\u501f\u5929\u7136\u638c\u63e1\u7684\u8c03\u7528\u6570\u636e\uff0c\u6b63\u5728\u5f62\u6210\u4e00\u79cd\u300c\u6570\u636e\u6295\u7968\u300d\u7684\u6392\u884c\u699c\u3002\u800c\u6d3b\u8dc3\u5ea6\u6301\u7eed\u98d9\u5347\u7684 LiteLLM\uff0c\u672a\u6765\u6216\u8bb8\u4e5f\u4f1a\u628a\u8c03\u7528\u7edf\u8ba1\u8f6c\u5316\u4e3a\u65b0\u578b\u8bc4\u6d4b\u65b9\u5f0f\u3002<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5f00\u6e90 2.0 \uff1a\u53d8\u8138\u582a\u6bd4\u6574\u5bb9 \u7b49\u4e86\u4e00\u767e\u591a\u5929\uff0c\u60ac\u5ff5\u7ec8\u4e8e\u63ed\u6653\u3002 9 \u6708 13 \u65e5\u4e0a\u5348\uff0c\u8682\u8681\u96c6\u56e2\u5f00\u6e90\u56e2\u961f\uff08\u300c\u5f00\u6e90\u6280\u672f […]<\/p>\n","protected":false},"author":1,"featured_media":1399,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-1393","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-8"],"_links":{"self":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1393","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/comments?post=1393"}],"version-history":[{"count":1,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1393\/revisions"}],"predecessor-version":[{"id":1423,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1393\/revisions\/1423"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media\/1399"}],"wp:attachment":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media?parent=1393"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/categories?post=1393"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/tags?post=1393"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}