{"id":4620,"date":"2024-09-13T22:21:24","date_gmt":"2024-09-13T14:21:24","guid":{"rendered":"https:\/\/nullthought.net\/?p=4620"},"modified":"2025-02-24T21:38:02","modified_gmt":"2025-02-24T13:38:02","slug":"%e8%ae%a9%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%89%ae%e6%bc%94%e7%8c%b4%e5%ad%90","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=4620","title":{"rendered":"\u8ba9\u5927\u6a21\u578b\u626e\u6f14\u7334\u5b50"},"content":{"rendered":"\n<p>\u8bba\u6587<strong><a href=\"https:\/\/arxiv.org\/abs\/2407.21787v1\" target=\"_blank\" rel=\"noreferrer noopener\">Large Language Monkeys: Scaling Inference Compute with Repeated Sampling<\/a><\/strong>\uff08\u300a<strong>\u5927\u578b\u8bed\u8a00\u7334\uff1a\u901a\u8fc7\u91cd\u590d\u91c7\u6837\u6269\u5c55\u63a8\u7406\u8ba1\u7b97<\/strong>\u300b\uff09\u8be6\u7ec6\u63a2\u8ba8\u4e86\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0c\u901a\u8fc7\u6269\u5c55\u8ba1\u7b97\u91cf\uff08\u5373\u589e\u52a0\u63a8\u7406\u65f6\u7684\u8ba1\u7b97\u8d44\u6e90\uff09\u6765\u63d0\u5347\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u89e3\u51b3\u590d\u6742\u4efb\u52a1\u7684\u80fd\u529b\u3002\u8bba\u6587\u7684\u6838\u5fc3\u601d\u60f3\u662f\uff0c\u901a\u8fc7\u751f\u6210\u591a\u4e2a\u4e0d\u540c\u7684\u89e3\u51b3\u65b9\u6848\uff08\u4e5f\u5c31\u662f\u201c\u91cd\u590d\u91c7\u6837\u201d\uff09\uff0c\u800c\u975e\u4f9d\u8d56\u5355\u6b21\u5c1d\u8bd5\u6765\u89e3\u51b3\u95ee\u9898\uff0c\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u89e3\u51b3\u95ee\u9898\u7684\u6210\u529f\u7387\uff0c\u5c24\u5176\u5728\u4ee3\u7801\u751f\u6210\u3001\u6570\u5b66\u63a8\u7406\u7b49\u53ef\u4ee5\u901a\u8fc7\u81ea\u52a8\u9a8c\u8bc1\u5668\u9a8c\u8bc1\u7684\u4efb\u52a1\u4e2d\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\u6807\u9898\u4e2d\u7684\u201c\u7334\u5b50\uff08Monkey\uff09\u201d\u662f\u53d7<strong>\u65e0\u9650\u7334\u5b50\u5b9a\u7406\uff08Infinite monkey theorem\uff09<\/strong>\u542f\u53d1\u3002\u8ba9\u5927\u6a21\u578bLLM\u626e\u6f14\u7334\u5b50\uff0c\u4e3aLLM\u7ed9\u5b9a\u4e00\u4e2a\u6b63\u6e29\u5ea6\uff08positive temperature\uff09\uff0c\u8ba9LLM\u4e3a\u7ed9\u5b9a\u95ee\u9898\u751f\u6210\u591a\u4e2a\u5019\u9009\u89e3\u51b3\u65b9\u6848\uff0c\u7136\u540e\u4f7f\u7528\u9886\u57df\u7279\u5b9a\u7684\u9a8c\u8bc1\u5668\uff08\u5982\u4ee3\u7801\u7684\u5355\u5143\u6d4b\u8bd5\uff09\u4ece\u751f\u6210\u7684\u6837\u672c\u4e2d\u9009\u62e9\u6700\u7ec8\u7b54\u6848\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\u4f5c\u8005\u4e3aBradley Brown, Jordan Juravsky, Ryan Ehrlich, Ronald Clark, Quoc V. Le, Christopher R\u00e9, Azalia Mirhoseini\uff0c\u6765\u81eaStanford University\uff0cUniversity of Oxford\u548c\u00a7Google DeepMind\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"822\" height=\"279\" src=\"https:\/\/nullthought.net\/wp-content\/uploads\/2024\/09\/image-4.png\" alt=\"\" class=\"wp-image-4621\" srcset=\"https:\/\/nullthought.net\/wp-content\/uploads\/2024\/09\/image-4.png 822w, https:\/\/nullthought.net\/wp-content\/uploads\/2024\/09\/image-4-300x102.png 300w, https:\/\/nullthought.net\/wp-content\/uploads\/2024\/09\/image-4-768x261.png 768w\" sizes=\"auto, (max-width: 822px) 100vw, 822px\" \/><figcaption class=\"wp-element-caption\"><strong><a href=\"https:\/\/arxiv.org\/abs\/2407.21787v1\" target=\"_blank\" rel=\"noreferrer noopener\">Large Language Monkeys: Scaling Inference Compute with Repeated Sampling<\/a><\/strong><\/figcaption><\/figure>\n\n\n\n<p>\u8bba\u6587\u6982\u8981\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">1. <strong>\u6269\u5c55\u63a8\u7406\u8ba1\u7b97\u7684\u80cc\u666f\u4e0e\u610f\u4e49<\/strong><\/h5>\n\n\n\n<p>\u5728\u8bad\u7ec3\u9636\u6bb5\uff0c\u6269\u5c55\u8ba1\u7b97\u8d44\u6e90\uff08\u5982\u66f4\u5927\u7684\u6a21\u578b\u3001\u66f4\u5927\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u3001\u66f4\u591a\u7684\u8bad\u7ec3\u6b65\u9aa4\uff09\u5df2\u7ecf\u663e\u8457\u63d0\u5347\u4e86LLMs\u7684\u80fd\u529b\u3002\u7136\u800c\uff0c\u5728\u63a8\u7406\u9636\u6bb5\uff0c\u8ba1\u7b97\u8d44\u6e90\u7684\u4f7f\u7528\u4ecd\u7136\u8f83\u4e3a\u4fdd\u5b88\uff0c\u901a\u5e38\u662f\u6bcf\u4e2a\u95ee\u9898\u53ea\u8fdb\u884c\u4e00\u6b21\u63a8\u7406\u5c1d\u8bd5\u3002\u4f5c\u8005\u63d0\u51fa\uff0c\u63a8\u7406\u8ba1\u7b97\u7684\u6269\u5c55\u662f\u63d0\u5347\u6a21\u578b\u63a8\u7406\u80fd\u529b\u7684\u53e6\u4e00\u7ef4\u5ea6\uff0c\u53ef\u4ee5\u901a\u8fc7\u589e\u52a0\u751f\u6210\u7684\u6837\u672c\u6570\u91cf\u6765\u63d0\u9ad8\u6a21\u578b\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\u901a\u8fc7\u5b9e\u9a8c\u8bc1\u660e\uff0c\u751f\u6210\u7684\u6837\u672c\u6570\u91cf\u4e0e\u6a21\u578b\u80fd\u591f\u89e3\u51b3\u95ee\u9898\u7684\u8986\u76d6\u7387\u4e4b\u95f4\u5b58\u5728\u5bf9\u6570\u7ebf\u6027\u5173\u7cfb\uff0c\u8fd9\u8868\u660e\u63a8\u7406\u9636\u6bb5\u4e5f\u5b58\u5728\u7c7b\u4f3c\u4e8e\u8bad\u7ec3\u9636\u6bb5\u7684\u201c\u6269\u5c55\u5b9a\u5f8b\u201d\u3002\u8fd9\u79cd\u65b9\u6cd5\u7279\u522b\u9002\u7528\u4e8e\u53ef\u4ee5\u81ea\u52a8\u9a8c\u8bc1\u7ed3\u679c\u7684\u9886\u57df\uff0c\u4f8b\u5982\u7f16\u7a0b\u548c\u5f62\u5f0f\u5316\u8bc1\u660e\u7b49\u4efb\u52a1\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2. <strong>\u8986\u76d6\u7387\u548c\u7cbe\u5ea6\u7684\u5b9a\u4e49\u4e0e\u5206\u6790<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8986\u76d6\u7387\uff08Coverage\uff09<\/strong>\uff1a\u6307\u6a21\u578b\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0c\u901a\u8fc7\u751f\u6210\u591a\u4e2a\u6837\u672c\u80fd\u591f\u89e3\u51b3\u7684\u6240\u6709\u95ee\u9898\u7684\u6bd4\u4f8b\u3002\u8986\u76d6\u7387\u968f\u7740\u6837\u672c\u6570\u91cf\u7684\u589e\u52a0\u800c\u63d0\u9ad8\uff0c\u7814\u7a76\u663e\u793a\u8986\u76d6\u7387\u4e0e\u6837\u672c\u6570\u91cf\u5448\u5bf9\u6570\u7ebf\u6027\u5173\u7cfb\u3002\u901a\u8fc7\u5b9e\u9a8c\uff0c\u4f5c\u8005\u53d1\u73b0\u8986\u76d6\u7387\u968f\u7740\u6837\u672c\u6570\u91cf\u7684\u589e\u52a0\u53ef\u4ee5\u8de8\u8d8a\u51e0\u4e2a\u6570\u91cf\u7ea7\u589e\u957f\u3002\u4f8b\u5982\uff0c\u5728\u7f16\u7a0b\u4efb\u52a1\u4e2d\uff0c\u901a\u8fc7\u589e\u52a0\u6837\u672c\u6570\u91cf\uff0c\u6a21\u578b\u7684\u8986\u76d6\u7387\u4ece\u5355\u6b21\u5c1d\u8bd5\u76840.02%\u589e\u52a0\u5230\u4f7f\u752810,000\u6b21\u91c7\u6837\u540e\u76847.1%\u3002<\/li>\n\n\n\n<li><strong>\u7cbe\u5ea6\uff08Precision\uff09<\/strong>\uff1a\u5728\u67d0\u4e9b\u4efb\u52a1\u4e2d\uff0c\u5373\u4f7f\u751f\u6210\u4e86\u591a\u4e2a\u6837\u672c\uff0c\u4ecd\u7136\u9700\u8981\u4ece\u4e2d\u8bc6\u522b\u51fa\u6b63\u786e\u7b54\u6848\u3002\u7cbe\u5ea6\u6307\u7684\u662f\u6a21\u578b\u5728\u751f\u6210\u591a\u4e2a\u6837\u672c\u540e\uff0c\u80fd\u5426\u6709\u6548\u6311\u9009\u51fa\u6b63\u786e\u7b54\u6848\u7684\u80fd\u529b\u3002\u5728\u80fd\u591f\u4f7f\u7528\u81ea\u52a8\u9a8c\u8bc1\u5668\uff08\u5982\u5355\u5143\u6d4b\u8bd5\u3001\u8bc1\u660e\u68c0\u67e5\u5668\u7b49\uff09\u7684\u4efb\u52a1\u4e2d\uff0c\u7cbe\u5ea6\u53ef\u4ee5\u5f97\u5230\u81ea\u52a8\u4fdd\u8bc1\uff1b\u7136\u800c\uff0c\u5728\u6ca1\u6709\u81ea\u52a8\u9a8c\u8bc1\u5668\u7684\u4efb\u52a1\u4e2d\uff0c\u5982\u6570\u5b66\u63a8\u7406\uff0c\u7cbe\u5ea6\u95ee\u9898\u4ecd\u7136\u662f\u4e00\u4e2a\u6311\u6218\uff0c\u5e38\u7528\u7684\u591a\u6570\u6295\u7968\u6216\u5956\u52b1\u6a21\u578b\u5728\u5904\u7406\u5927\u89c4\u6a21\u6837\u672c\u65f6\u6548\u679c\u6709\u9650\u3002<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">3. <strong>\u91cd\u590d\u91c7\u6837\u5728\u4e0d\u540c\u4efb\u52a1\u4e2d\u7684\u5e94\u7528<\/strong><\/h5>\n\n\n\n<p>\u4f5c\u8005\u5bf9\u4e0d\u540c\u4efb\u52a1\u8fdb\u884c\u4e86\u91cd\u590d\u91c7\u6837\u5b9e\u9a8c\uff0c\u5305\u62ec\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u6570\u5b66\u95ee\u9898\uff08GSM8K\u3001MATH\uff09<\/strong>\uff1a\u8fd9\u4e9b\u95ee\u9898\u6ca1\u6709\u81ea\u52a8\u9a8c\u8bc1\u5668\uff0c\u56e0\u6b64\u9700\u8981\u4f9d\u8d56\u6a21\u578b\u81ea\u884c\u5224\u65ad\u54ea\u4e00\u4e2a\u6837\u672c\u662f\u6b63\u786e\u7684\u3002\u5b9e\u9a8c\u8868\u660e\uff0c\u5c3d\u7ba1\u8986\u76d6\u7387\u968f\u7740\u6837\u672c\u6570\u91cf\u7684\u589e\u52a0\u800c\u5927\u5e45\u63d0\u5347\uff0c\u4f46\u73b0\u6709\u7684\u7cbe\u5ea6\u63d0\u5347\u65b9\u6cd5\uff08\u5982\u591a\u6570\u6295\u7968\u3001\u5956\u52b1\u6a21\u578b\uff09\u5728100\u4e2a\u6837\u672c\u4e4b\u540e\u6548\u679c\u8d8b\u4e8e\u5e73\u7f13\uff0c\u8fdc\u8fdc\u672a\u8fbe\u5230\u8986\u76d6\u7387\u7684\u63d0\u5347\u6548\u679c\u3002<\/li>\n\n\n\n<li><strong>\u7f16\u7a0b\u4efb\u52a1\uff08CodeContests\u3001SWE-bench Lite\uff09<\/strong>\uff1a\u8fd9\u4e9b\u4efb\u52a1\u4e2d\uff0c\u4f7f\u7528\u81ea\u52a8\u5316\u9a8c\u8bc1\u5de5\u5177\uff08\u5982\u5355\u5143\u6d4b\u8bd5\uff09\u6765\u9a8c\u8bc1\u751f\u6210\u7684\u4ee3\u7801\u662f\u5426\u6b63\u786e\u3002\u5b9e\u9a8c\u8868\u660e\uff0c\u91cd\u590d\u91c7\u6837\u663e\u8457\u63d0\u9ad8\u4e86\u4ee3\u7801\u95ee\u9898\u7684\u89e3\u51b3\u7387\u3002\u4f8b\u5982\uff0c\u5728SWE-bench Lite\u4e2d\uff0cDeepSeek-V2-Coder-Instruct\u6a21\u578b\u901a\u8fc7250\u6b21\u91c7\u6837\u53ef\u4ee5\u89e3\u51b356%\u7684\u95ee\u9898\uff0c\u8d85\u8fc7\u4e86GPT-4o\u5355\u6b21\u5c1d\u8bd543%\u7684\u8868\u73b0\u3002<\/li>\n\n\n\n<li><strong>\u5f62\u5f0f\u5316\u8bc1\u660e\uff08MiniF2F-MATH\uff09<\/strong>\uff1a\u5728\u8fd9\u79cd\u4efb\u52a1\u4e2d\uff0c\u6a21\u578b\u751f\u6210\u7684\u8bc1\u660e\u53ef\u4ee5\u901a\u8fc7\u81ea\u52a8\u5316\u5de5\u5177\uff08\u5982Lean4\uff09\u8fdb\u884c\u9a8c\u8bc1\u3002\u5b9e\u9a8c\u663e\u793a\uff0c\u91cd\u590d\u91c7\u6837\u80fd\u591f\u5927\u5e45\u63d0\u5347\u8986\u76d6\u7387\u548c\u4efb\u52a1\u6210\u529f\u7387\u3002<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">4. <strong>\u91cd\u590d\u91c7\u6837\u7684\u6210\u672c\u6548\u76ca<\/strong><\/h5>\n\n\n\n<p>\u8bba\u6587\u6307\u51fa\uff0c\u91cd\u590d\u91c7\u6837\u4e0d\u4ec5\u5728\u6548\u679c\u4e0a\u4f18\u4e8e\u5355\u6b21\u5c1d\u8bd5\u7684\u63a8\u7406\u65b9\u6cd5\uff0c\u5728\u6210\u672c\u6548\u76ca\u4e0a\u4e5f\u5177\u6709\u4f18\u52bf\u3002\u4f5c\u8005\u901a\u8fc7\u5bf9\u6bd4\u4e0d\u540c\u6a21\u578b\u7684API\u8c03\u7528\u6210\u672c\u548c\u63a8\u7406\u6027\u80fd\uff0c\u53d1\u73b0\u5373\u4f7f\u662f\u8f83\u5f31\u7684\u6a21\u578b\uff0c\u901a\u8fc7\u751f\u6210\u591a\u4e2a\u6837\u672c\u8fdb\u884c\u63a8\u7406\uff0c\u5176\u7efc\u5408\u8868\u73b0\u548c\u6210\u672c\u6548\u76ca\u90fd\u53ef\u4ee5\u8d85\u8fc7\u66f4\u6602\u8d35\u3001\u66f4\u5f3a\u5927\u7684\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u5728SWE-bench Lite\u95ee\u9898\u4e0a\uff0cDeepSeek\u6a21\u578b\u7684\u6bcf\u6b21\u91c7\u6837\u6210\u672c\u4ec5\u4e3a0.008\u7f8e\u5143\uff0c\u901a\u8fc7\u591a\u6b21\u91c7\u6837\uff08\u4f8b\u59825\u6b21\uff09\u53ef\u4ee5\u4ee5\u66f4\u4f4e\u7684\u6210\u672c\u89e3\u51b3\u66f4\u591a\u95ee\u9898\uff0c\u800c\u6bd4\u5355\u6b21\u4f7f\u7528Claude 3.5\u6216GPT-4o\u6a21\u578b\u66f4\u5177\u6027\u4ef7\u6bd4\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">5. <strong>\u5728\u7f3a\u4e4f\u81ea\u52a8\u9a8c\u8bc1\u5668\u7684\u9886\u57df\u4e2d\u9762\u4e34\u7684\u6311\u6218<\/strong><\/h5>\n\n\n\n<p>\u5bf9\u4e8e\u65e0\u6cd5\u4f7f\u7528\u81ea\u52a8\u9a8c\u8bc1\u5de5\u5177\u7684\u4efb\u52a1\uff0c\u5982\u6570\u5b66\u95ee\u9898\uff0c\u8bba\u6587\u5f3a\u8c03\u76ee\u524d\u7684\u6837\u672c\u9a8c\u8bc1\u65b9\u6cd5\uff08\u5982\u591a\u6570\u6295\u7968\u548c\u5956\u52b1\u6a21\u578b\uff09\u5728\u6837\u672c\u6570\u91cf\u8d85\u8fc7100\u4e4b\u540e\u6548\u679c\u6709\u9650\uff0c\u65e0\u6cd5\u5145\u5206\u5229\u7528\u8f83\u5927\u6837\u672c\u6570\u91cf\u5e26\u6765\u7684\u8986\u76d6\u7387\u63d0\u5347\u3002\u8fd9\u8868\u660e\u5728\u8fd9\u4e9b\u9886\u57df\u4e2d\uff0c\u5f00\u53d1\u66f4\u52a0\u667a\u80fd\u3001\u7cbe\u786e\u7684\u6837\u672c\u9a8c\u8bc1\u65b9\u6cd5\u662f\u672a\u6765\u7814\u7a76\u7684\u91cd\u8981\u65b9\u5411\u4e4b\u4e00\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">6. <strong>\u672a\u6765\u7814\u7a76\u65b9\u5411<\/strong><\/h5>\n\n\n\n<p>\u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u4e9b\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\uff0c\u4ee5\u8fdb\u4e00\u6b65\u63d0\u5347\u91cd\u590d\u91c7\u6837\u7684\u6548\u679c\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u63d0\u5347\u6837\u672c\u591a\u6837\u6027<\/strong>\uff1a\u76ee\u524d\uff0c\u8bba\u6587\u4e3b\u8981\u4f9d\u8d56\u4e8e\u901a\u8fc7\u8c03\u8282\u91c7\u6837\u6e29\u5ea6\uff08temperature\uff09\u6765\u751f\u6210\u591a\u6837\u5316\u7684\u6837\u672c\u3002\u672a\u6765\u53ef\u4ee5\u7ed3\u5408\u66f4\u9ad8\u7ea7\u522b\u7684\u591a\u6837\u6027\u751f\u6210\u65b9\u6cd5\uff0c\u63d0\u5347\u6837\u672c\u95f4\u7684\u5dee\u5f02\u6027\u3002<\/li>\n\n\n\n<li><strong>\u591a\u8f6e\u4ea4\u4e92<\/strong>\uff1a\u5728\u5b9e\u9a8c\u4e2d\uff0c\u6a21\u578b\u751f\u6210\u6837\u672c\u65f6\u662f\u5355\u6b21\u751f\u6210\u7684\uff0c\u672a\u6765\u53ef\u4ee5\u901a\u8fc7\u8ba9\u6a21\u578b\u5728\u751f\u6210\u6837\u672c\u540e\uff0c\u5229\u7528\u53cd\u9988\u673a\u5236\u8fdb\u884c\u6539\u8fdb\uff0c\u4ece\u800c\u63d0\u9ad8\u89e3\u7684\u8d28\u91cf\u3002<\/li>\n\n\n\n<li><strong>\u5b66\u4e60\u5148\u524d\u7684\u5c1d\u8bd5<\/strong>\uff1a\u76ee\u524d\u7684\u5b9e\u9a8c\u662f\u72ec\u7acb\u751f\u6210\u6bcf\u4e2a\u6837\u672c\uff0c\u800c\u4e0d\u53c2\u8003\u4e4b\u524d\u751f\u6210\u7684\u6837\u672c\u3002\u672a\u6765\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u6a21\u578b\u53cd\u9988\uff0c\u8ba9\u6a21\u578b\u5728\u751f\u6210\u540e\u7eed\u6837\u672c\u65f6\u53c2\u8003\u5148\u524d\u7684\u751f\u6210\u7ed3\u679c\u3002<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">7. <strong>\u63a8\u7406\u7cfb\u7edf\u7684\u4f18\u5316<\/strong><\/h5>\n\n\n\n<p>\u91cd\u590d\u91c7\u6837\u662f\u4e00\u79cd\u4e0e\u4f20\u7edf\u804a\u5929\u673a\u5668\u4eba\u63a8\u7406\u5de5\u4f5c\u8d1f\u8f7d\u4e0d\u540c\u7684\u63a8\u7406\u7c7b\u578b\u3002\u5728\u8bb8\u591a\u5b9e\u65f6\u5e94\u7528\u4e2d\uff0c\u4f4e\u5ef6\u8fdf\u548c\u5feb\u901f\u54cd\u5e94\u662f\u5173\u952e\uff0c\u800c\u91cd\u590d\u91c7\u6837\u5219\u53ef\u4ee5\u4e13\u6ce8\u4e8e\u901a\u8fc7\u5927\u6279\u91cf\u6837\u672c\u751f\u6210\u6765\u6700\u5927\u5316\u786c\u4ef6\u7684\u5229\u7528\u7387\uff0c\u4ece\u800c\u4f18\u5316\u6574\u4f53\u541e\u5410\u91cf\u3002\u6b64\u5916\uff0c\u901a\u8fc7\u5171\u4eab\u524d\u7f00\u7684\u6ce8\u610f\u529b\u4f18\u5316\u7b97\u6cd5\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u51cf\u5c11\u91cd\u590d\u91c7\u6837\u7684\u6210\u672c\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">8. <strong>\u9a8c\u8bc1\u5668\u7684\u6539\u8fdb<\/strong><\/h5>\n\n\n\n<p>\u5728\u6ca1\u6709\u81ea\u52a8\u5316\u9a8c\u8bc1\u5de5\u5177\u7684\u9886\u57df\u4e2d\uff0c\u63d0\u5347\u6a21\u578b\u81ea\u6211\u9a8c\u8bc1\u751f\u6210\u7b54\u6848\u7684\u80fd\u529b\u662f\u672a\u6765\u7684\u91cd\u8981\u7814\u7a76\u65b9\u5411\u4e4b\u4e00\u3002\u8fd9\u4e0d\u4ec5\u9002\u7528\u4e8e\u6570\u7406\u63a8\u7406\u7b49\u7ed3\u6784\u5316\u4efb\u52a1\uff0c\u8fd8\u53ef\u4ee5\u6269\u5c55\u5230\u9700\u8981\u4e3b\u89c2\u5224\u65ad\u7684\u9886\u57df\uff0c\u4f8b\u5982\u521b\u610f\u5199\u4f5c\u7b49\u3002\u901a\u8fc7\u5f00\u53d1\u65b0\u578b\u7684\u81ea\u52a8\u5316\u9a8c\u8bc1\u5668\u6216\u4efb\u52a1\u8f6c\u6362\u5668\uff08\u5982\u5c06\u975e\u6b63\u5f0f\u7684\u6570\u5b66\u9648\u8ff0\u8f6c\u5316\u4e3a\u5f62\u5f0f\u5316\u8bed\u8a00\uff09\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u6269\u5927\u91cd\u590d\u91c7\u6837\u65b9\u6cd5\u7684\u5e94\u7528\u8303\u56f4\u3002<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">\u603b\u7ed3\uff1a<\/h5>\n\n\n\n<p>\u8bba\u6587\u901a\u8fc7\u5b9e\u9a8c\u8bc1\u660e\uff0c<strong>\u91cd\u590d\u91c7\u6837<\/strong>\u662f\u6269\u5c55\u63a8\u7406\u8ba1\u7b97\u7684\u4e00\u79cd\u6709\u6548\u65b9\u6cd5\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8LLMs\u7684\u8986\u76d6\u7387\u548c\u4efb\u52a1\u8868\u73b0\u3002\u5728\u67d0\u4e9b\u4efb\u52a1\u4e2d\uff0c\u5f31\u6a21\u578b\u901a\u8fc7\u589e\u52a0\u91c7\u6837\u6b21\u6570\u53ef\u4ee5\u8d85\u8d8a\u5f3a\u6a21\u578b\u7684\u5355\u6b21\u5c1d\u8bd5\u7ed3\u679c\uff0c\u4e14\u5177\u6709\u66f4\u9ad8\u7684\u6210\u672c\u6548\u76ca\u3002\u7136\u800c\uff0c\u5bf9\u4e8e\u6ca1\u6709\u81ea\u52a8\u9a8c\u8bc1\u5668\u7684\u4efb\u52a1\uff0c\u5982\u4f55\u7cbe\u786e\u8bc6\u522b\u6b63\u786e\u7684\u6837\u672c\u4ecd\u7136\u662f\u4e00\u4e2a\u6311\u6218\u3002\u56e0\u6b64\uff0c\u672a\u6765\u7814\u7a76\u7684\u91cd\u70b9\u5c06\u662f\u5f00\u53d1\u66f4\u5f3a\u5927\u7684\u6837\u672c\u9a8c\u8bc1\u65b9\u6cd5\u548c\u63d0\u9ad8\u751f\u6210\u6837\u672c\u7684\u591a\u6837\u6027\u4e0e\u4ea4\u4e92\u80fd\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8bba\u6587Large Language Monkeys: Scaling Inference Compute wit [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"","ast-disable-related-posts":"","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":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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