{"id":27891,"date":"2025-03-07T15:10:46","date_gmt":"2025-03-07T07:10:46","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=27891"},"modified":"2025-03-07T15:10:46","modified_gmt":"2025-03-07T07:10:46","slug":"grpo-ruhezaishi","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/grpo-ruhezaishi\/","title":{"rendered":"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27892\" title=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/647bc67dfa6d02a.png\" alt=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-1\" width=\"1626\" height=\"971\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/647bc67dfa6d02a.png 1626w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/647bc67dfa6d02a-768x459.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/647bc67dfa6d02a-1536x917.png 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/647bc67dfa6d02a-18x12.png 18w\" sizes=\"auto, (max-width: 1626px) 100vw, 1626px\" \/><\/p>\n<p>\u8fd1\u5e74\u6765\uff0c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u5728\u63a8\u7406\u80fd\u529b\u4e0a\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002\u53bb\u5e74\uff0cOpenAI \u5c55\u793a\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLMs) \u7684\u5f3a\u5927\u63a8\u7406\u6f5c\u529b\u540e\uff0cGoogle DeepMind\u3001\u963f\u91cc\u5df4\u5df4\u3001DeepSeek \u548c <a href=\"https:\/\/www.kdjingpai.com\/de\/claudeanquanfubai\/\">Anthropic<\/a> \u7b49\u673a\u6784\u8fc5\u901f\u8ddf\u8fdb\uff0c\u5229\u7528\u5f3a\u5316\u5b66\u4e60 (RL) \u6280\u672f\u8bad\u7ec3\u51fa\u5177\u5907\u201c\u601d\u7ef4\u94fe\u201d (CoT) \u80fd\u529b\u7684\u5148\u8fdb\u6a21\u578b\u3002\u8fd9\u4e9b\u6a21\u578b\u5728\u6570\u5b66\u3001\u7f16\u7a0b\u7b49\u9886\u57df\u7684\u8bb8\u591a\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u90fd\u53d6\u5f97\u4e86\u63a5\u8fd1\u9971\u548c\u7684\u6210\u7ee9\u3002<\/p>\n<p>\u7136\u800c\uff0c\u4e00\u4e2a\u4e0d\u5bb9\u5ffd\u89c6\u7684\u4e8b\u5b9e\u662f\uff1a\u5373\u4f7f\u662f\u76ee\u524d\u6700\u9876\u5c16\u7684\u6a21\u578b\uff0c\u5728\u5904\u7406\u903b\u8f91\u63a8\u7406\u95ee\u9898\u65f6\uff0c\u4ecd\u7136\u9762\u4e34\u7740\u4e00\u4e9b\u96be\u4ee5\u903e\u8d8a\u7684\u969c\u788d\u3002\u5927\u578b\u8bed\u8a00\u6a21\u578b\u901a\u5e38\u96be\u4ee5\u6301\u7eed\u5173\u6ce8\u6240\u6709\u76f8\u5173\u7ec6\u8282\uff0c\u7ef4\u6301\u903b\u8f91\u63a8\u7406\u94fe\u6761\u7684\u8fde\u8d2f\u6027\uff0c\u6216\u8005\u53ef\u9760\u5730\u8fde\u63a5\u591a\u4e2a\u63a8\u7406\u6b65\u9aa4\u3002\u5373\u4f7f\u662f\u90a3\u4e9b\u751f\u6210\u5185\u5bb9\u957f\u5ea6\u8fbe\u5230\u666e\u901a\u6a21\u578b 10-100 \u500d\u7684\u6700\u5148\u8fdb\u6a21\u578b\uff0c\u4e5f\u5e38\u5e38\u4f1a\u51fa\u73b0\u4e00\u4e9b\u4eba\u7c7b\u89e3\u9898\u8005\u5f88\u5bb9\u6613\u53d1\u73b0\u7684\u4f4e\u7ea7\u9519\u8bef\u3002<\/p>\n<p>\u4e3a\u4e86\u63a2\u7d22\u8fd9\u4e2a\u95ee\u9898\uff0c\u672c\u6587\u4f5c\u8005 Brad Hilton \u548c Kyle Corbitt \u5f00\u59cb\u601d\u8003\uff1a\u80fd\u5426\u5229\u7528\u6700\u65b0\u7684\u5f3a\u5316\u5b66\u4e60\u6280\u672f\uff0c\u8ba9\u89c4\u6a21\u8f83\u5c0f\u3001\u5f00\u6e90\u7684\u6a21\u578b\u5728\u63a8\u7406\u6027\u80fd\u4e0a\u8fbe\u5230\u524d\u6cbf\u6c34\u5e73\uff1f\u4e3a\u4e86\u89e3\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u4ed6\u4eec\u9009\u62e9\u4e86\u4e00\u79cd\u540d\u4e3a\u00a0<strong>Group Relative Policy Optimization (GRPO)<\/strong>\u00a0\u7684\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u3002<\/p>\n<p><strong>\u4ec0\u4e48\u662f GRPO\uff1f<\/strong><\/p>\n<p>\u7b80\u5355\u6765\u8bf4\uff0cGRPO \u662f\u4e00\u79cd\u4f18\u5316\u7b56\u7565\u68af\u5ea6\u7684\u65b9\u6cd5\u3002\u7b56\u7565\u68af\u5ea6\u65b9\u6cd5\u901a\u8fc7\u8c03\u6574\u6a21\u578b\u7684\u7b56\u7565\uff08\u5373\u6a21\u578b\u5728\u7279\u5b9a\u60c5\u51b5\u4e0b\u91c7\u53d6\u884c\u52a8\u7684\u6982\u7387\u5206\u5e03\uff09\u6765\u6539\u8fdb\u6a21\u578b\u7684\u6027\u80fd\u3002GRPO \u901a\u8fc7\u6bd4\u8f83\u4e00\u7ec4\u6a21\u578b\u54cd\u5e94\u7684\u76f8\u5bf9\u4f18\u52bf\uff0c\u6765\u66f4\u6709\u6548\u5730\u66f4\u65b0\u7b56\u7565\u3002\u4e0e Proximal Policy Optimization (PPO) \u7b49\u4f20\u7edf\u65b9\u6cd5\u76f8\u6bd4\uff0cGRPO \u7b80\u5316\u4e86\u8bad\u7ec3\u6d41\u7a0b\uff0c\u540c\u65f6\u4ecd\u80fd\u4fdd\u8bc1\u51fa\u8272\u7684\u6027\u80fd\u3002<\/p>\n<p>\u4e3a\u4e86\u9a8c\u8bc1 GRPO \u7684\u6709\u6548\u6027\uff0c\u4ed6\u4eec\u9009\u62e9\u4e86\u4e00\u4e2a\u540d\u4e3a\u201c<strong>\u65f6\u95f4\u7ebf\u7d22 (Temporal Clue)<\/strong>\u201d\u7684\u63a8\u7406\u6e38\u620f\u4f5c\u4e3a\u5b9e\u9a8c\u5e73\u53f0\u3002<\/p>\n<p><strong>\u4ec0\u4e48\u662f\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\uff1f<\/strong><\/p>\n<p>\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u662f\u4e00\u6b3e\u53d7\u7ecf\u5178\u68cb\u76d8\u6e38\u620f\u201cClue (Cluedo)\u201d\u542f\u53d1\u7684\u89e3\u8c1c\u6e38\u620f\u3002\u5728\u8fd9\u4e2a\u6e38\u620f\u4e2d\uff0c\u73a9\u5bb6\u9700\u8981\u901a\u8fc7\u4e00\u7cfb\u5217\u7ebf\u7d22\uff0c\u627e\u51fa\u51f6\u624b\u3001\u51f6\u5668\u3001\u4f5c\u6848\u5730\u70b9\u3001\u4f5c\u6848\u65f6\u95f4\u4ee5\u53ca\u4f5c\u6848\u52a8\u673a\u3002\u4e0e\u539f\u7248\u6e38\u620f\u4e0d\u540c\u7684\u662f\uff0c\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u5c06\u95ee\u9898\u6269\u5c55\u5230\u4e86\u4e94\u4e2a\u7ef4\u5ea6\uff0c\u589e\u52a0\u4e86\u6e38\u620f\u7684\u590d\u6742\u6027\u548c\u6311\u6218\u6027\u3002<\/p>\n<p>\u4f5c\u8005\u4ece\u76f8\u5bf9\u8f83\u5f31\u7684\u6a21\u578b\u5165\u624b\uff0c\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e0a\u5229\u7528 GRPO \u7b97\u6cd5\u5bf9\u5b83\u4eec\u8fdb\u884c\u8fed\u4ee3\u8bad\u7ec3\u3002\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\uff0c\u4ed6\u4eec\u89c2\u5bdf\u5230\u8fd9\u4e9b\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u6709\u4e86\u660e\u663e\u7684\u63d0\u5347\uff0c\u6700\u7ec8\u751a\u81f3\u53ef\u4ee5\u5339\u654c\u751a\u81f3\u8d85\u8d8a\u4e00\u4e9b\u6700\u5f3a\u5927\u7684\u4e13\u6709\u6a21\u578b\u3002<\/p>\n<p>\u73b0\u5728\uff0c\u4ed6\u4eec\u5c06\u5206\u4eab\u5305\u62ec<a href=\"https:\/\/github.com\/openpipe\/rl-experiments\">\u5b9e\u9a8c<\/a>\u3001<a href=\"https:\/\/github.com\/openpipe\/deductive-reasoning\">\u8bad\u7ec3\u65b9\u6848<\/a>\u3001<a href=\"https:\/\/github.com\/bradhilton\/temporal-clue\">\u6570\u636e\u96c6<\/a>\u00a0\u548c<a href=\"https:\/\/huggingface.co\/OpenPipe\/Deductive-Reasoning-Qwen-32B\">\u6a21\u578b\u6743\u91cd<\/a>\u00a0\u5728\u5185\u7684\u7814\u7a76\u6210\u679c\uff0c\u6240\u6709\u8fd9\u4e9b\u90fd\u53ef\u4ee5\u5728 MIT \u8bb8\u53ef\u4e0b\u514d\u8d39\u83b7\u5f97\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u57fa\u51c6\u6d4b\u8bd5<\/h2>\n<p>\u4e3a\u4e86\u8fdb\u884c\u5b9e\u9a8c\uff0c\u9996\u5148\u9700\u8981\u786e\u5b9a\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u63a8\u7406\u4efb\u52a1\uff0c\u8be5\u4efb\u52a1\u9700\u8981\u5177\u5907\u6e05\u6670\u53ef\u9a8c\u8bc1\u7684\u89e3\u51b3\u65b9\u6848\u548c\u53ef\u6269\u5c55\u7684\u590d\u6742\u6027\u3002\u5de7\u5408\u7684\u662f\uff0c\u4f5c\u8005\u4e4b\u4e00 Brad Hilton \u4e4b\u524d\u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3a\u00a0<a href=\"https:\/\/github.com\/bradhilton\/temporal-clue\">Temporal Clue<\/a>\u00a0\u7684\u8c1c\u9898\u96c6\uff0c\u5b8c\u7f8e\u5730\u6ee1\u8db3\u4e86\u8fd9\u4e9b\u9700\u6c42\u3002\u9664\u4e86\u6ee1\u8db3\u57fa\u672c\u4e8b\u5b9e\u6e05\u6670\u7684\u6807\u51c6\u5916\uff0c\u8fd8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u521b\u5efa\u65b0\u7684\u8c1c\u9898\u3002<\/p>\n<p>Temporal Clue \u7684\u7075\u611f\u6765\u6e90\u4e8e\u6d41\u884c\u7684\u68cb\u76d8\u6e38\u620f\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Cluedo\">Clue (Cluedo)<\/a>\u3002\u5728\u8fd9\u6b3e\u6e38\u620f\u4e2d\uff0c\u73a9\u5bb6\u4eec\u7ade\u76f8\u627e\u51fa\u8c01\u5728 Tudor Mansion \u4e2d\u6740\u5bb3\u4e86 Boddy \u5148\u751f\u3002Temporal Clue \u5c06\u8fd9\u6b3e\u6e38\u620f\u53d8\u6210\u4e86\u4e00\u4e2a\u72ec\u7acb\u7684\u903b\u8f91\u8c1c\u9898\uff0c\u5b83\u8d85\u8d8a\u4e86\u6807\u51c6\u7684<strong>\u8c01<\/strong>\u3001<strong>\u7528\u4ec0\u4e48<\/strong>\u3001<strong>\u5728\u54ea\u91cc<\/strong>\uff0c\u5e76\u52a0\u5165\u4e86\u4e24\u4e2a\u989d\u5916\u7684\u7ef4\u5ea6\uff1a<strong>\u4f55\u65f6<\/strong>\uff08\u65f6\u95f4\uff09\u548c<strong>\u4e3a\u4ec0\u4e48<\/strong>\uff08\u52a8\u673a\uff09\u3002\u8c1c\u9898\u662f\u968f\u673a\u751f\u6210\u7684\uff0c\u6700\u5c11\u4f46\u8db3\u591f\u5145\u5206\u7684\u7ebf\u7d22\u662f\u7528\u00a0<a href=\"https:\/\/developers.google.com\/optimization\">OR-Tools<\/a>\u00a0\u7684\u00a0<a href=\"https:\/\/developers.google.com\/optimization\/cp\/cp_solver\">CP-SAT \u6c42\u89e3\u5668<\/a>\u00a0\u9009\u51fa\u7684\u3002<\/p>\n<p><a href=\"https:\/\/gist.github.com\/bradhilton\/911e208183a389dc00e52de73f2c66bb\">\u5728\u4e00\u4e2a\u6f06\u9ed1\u7684\u51ac\u591c\uff0c\u5bcc\u6709\u800c\u795e\u79d8\u7684 John Q. Boddy \u5148\u751f\u4e3a\u4ed6\u7684\u4e00\u4e9b\u6700\u4eb2\u5bc6\u7684\u4f19\u4f34\u4e3e\u529e\u4e86\u4e00\u573a\u5c0f\u578b\u4f46\u5962\u534e\u7684\u665a\u5bb4\u3002\u7136\u800c\uff0c\u5f53 Boddy \u5148\u751f\u5728\u51cc\u6668\u88ab\u53d1\u73b0\u6b7b\u5728 Tudor Mansion \u7684\u4e00\u4e2a\u623f\u95f4\u91cc\u65f6\uff0c\u8fd9\u4e2a\u591c\u665a\u4ee5\u60b2\u5267\u544a\u7ec8\u3002\u4ee5\u4e0b\u76f8\u5173\u4eba\u5458\u5df2\u88ab\u786e\u5b9a\u4e3a\u5acc\u7591\u4eba&#8230;<\/a><\/p>\n<p>\u4e3a\u4e86\u786e\u5b9a\u5f53\u524d\u8fd9\u9879\u63a8\u7406\u4efb\u52a1\u7684\u6700\u65b0\u6280\u672f\u6c34\u5e73\uff0c\u4ed6\u4eec\u5bf9\u9886\u5148\u7684\u63a8\u7406\u6a21\u578b\u8fdb\u884c\u4e86\u57fa\u51c6\u6d4b\u8bd5\uff0c\u5305\u62ec <a href=\"https:\/\/www.kdjingpai.com\/de\/deepseek-chatshena\/\">DeepSeek<\/a> R1\u3001Anthropic \u7684 <a href=\"https:\/\/www.kdjingpai.com\/de\/claudeanquanfubai\/\">Claude<\/a> Sonnet 3.7\uff0c\u4ee5\u53ca\u963f\u91cc\u5df4\u5df4\u7684 Qwen 2.5 14B \u548c 32B Instruct \u6a21\u578b\u3002\u6b64\u5916\uff0c\u4ed6\u4eec\u8fd8\u63d0\u4f9b\u4e86\u6700\u7ec8\u7ed3\u679c\u7684\u9884\u89c8\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u673a\u6784<\/th>\n<th>\u6a21\u578b<\/th>\n<th>\u63a8\u7406\u80fd\u529b<\/th>\n<th>\u5e73\u5747\u51c6\u786e\u7387<\/th>\n<th>\u5e73\u5747\u6210\u672c<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>DeepSeek<\/td>\n<td>R1<\/td>\n<td>\u9ed8\u8ba4<\/td>\n<td>51.6%<\/td>\n<td>$0.029<\/td>\n<\/tr>\n<tr>\n<td>Anthropic<\/td>\n<td>Sonnet 3.7<\/td>\n<td>\u65e0<\/td>\n<td>51.7%<\/td>\n<td>$0.017<\/td>\n<\/tr>\n<tr>\n<td>Anthropic<\/td>\n<td>Sonnet 3.7<\/td>\n<td>16k<\/td>\n<td>61.7%<\/td>\n<td>$0.222<\/td>\n<\/tr>\n<tr>\n<td>Anthropic<\/td>\n<td>Sonnet 3.7<\/td>\n<td>64k<\/td>\n<td><strong>69.5%<\/strong><\/td>\n<td>$0.392<\/td>\n<\/tr>\n<tr>\n<td>\u963f\u91cc\u5df4\u5df4<\/td>\n<td>Qwen 2.5 14B Instruct<\/td>\n<td>\u65e0<\/td>\n<td>28.1%<\/td>\n<td><strong>$0.001<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u963f\u91cc\u5df4\u5df4<\/td>\n<td>Qwen 2.5 32B Instruct<\/td>\n<td>\u65e0<\/td>\n<td>37.3%<\/td>\n<td>$0.002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4ece\u8fd9\u4e9b\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u53ef\u4ee5\u770b\u5230\uff0c\u5177\u6709 64k <a href=\"https:\/\/www.kdjingpai.com\/de\/tokenization\/\">token<\/a> \u7684 Claude Sonnet 3.7 \u5728\u8fd9\u9879\u4efb\u52a1\u4e0a\u8868\u73b0\u6700\u597d\uff0c\u4f46\u6240\u6709\u9886\u5148\u7684\u6a21\u578b\u90fd\u8fd8\u6709\u6539\u8fdb\u7a7a\u95f4\u3002DeepSeek R1 \u662f\u4e00\u6b3e\u6d41\u884c\u7684\u5f00\u6e90\u6a21\u578b\uff0c\u5176\u6027\u80fd\u4e0e Anthropic \u7684 Claude Sonnet 3.7 51.7% \u7684\u5e73\u5747\u51c6\u786e\u7387 \u63a5\u8fd1\u3002\u7136\u800c\uff0c\u672a\u7ecf\u8c03\u6574\u7684 Qwen 2.5 Instruct \u6a21\u578b\u7684\u6027\u80fd\u76f8\u5bf9\u8f83\u5dee\u3002\u6700\u5927\u7684\u95ee\u9898\u662f\uff1a\u80fd\u5426\u5c06\u8fd9\u4e9b\u89c4\u6a21\u8f83\u5c0f\u3001\u5f00\u6e90\u7684\u6a21\u578b\u8bad\u7ec3\u5230\u524d\u6cbf\u6c34\u5e73\uff1f<\/p>\n<p>&nbsp;<\/p>\n<h2>\u8bad\u7ec3<\/h2>\n<p>\u4e3a\u4e86\u8bad\u7ec3\u4e00\u4e2a\u524d\u6cbf\u7684\u63a8\u7406\u6a21\u578b\uff0c\u4ed6\u4eec\u91c7\u7528\u4e86\u5f3a\u5316\u5b66\u4e60\u2014\u2014\u4e00\u79cd\u5141\u8bb8\u667a\u80fd\u4f53\u5728\u53d7\u63a7\u73af\u5883\u4e2d\u4ece\u81ea\u8eab\u7ecf\u9a8c\u4e2d\u5b66\u4e60\u7684\u65b9\u6cd5\u3002\u5728\u8fd9\u91cc\uff0cLLMs \u662f\u667a\u80fd\u4f53\uff0c\u800c\u8c1c\u9898\u662f\u73af\u5883\u3002\u4ed6\u4eec\u901a\u8fc7\u8ba9 LLMs \u4e3a\u6bcf\u4e2a\u8c1c\u9898\u751f\u6210\u591a\u4e2a\u54cd\u5e94\u6765\u5f15\u5bfc LLMs \u7684\u5b66\u4e60\uff0c\u4ece\u800c\u63a2\u7d22\u95ee\u9898\u7684\u683c\u5c40\u3002\u4ed6\u4eec\u5bf9\u5bfc\u81f4\u6b63\u786e\u89e3\u51b3\u65b9\u6848\u7684\u63a8\u7406\u8fdb\u884c\u5f3a\u5316\uff0c\u5e76\u5bf9\u4f7f\u6a21\u578b\u8bef\u5165\u6b67\u9014\u7684\u63a8\u7406\u8fdb\u884c\u60e9\u7f5a\u3002<\/p>\n<p>\u5728\u5404\u79cd RL \u65b9\u6cd5\u4e2d\uff0c\u4ed6\u4eec\u9009\u62e9\u4e86\u7531 DeepSeek \u5f00\u53d1\u7684\u6d41\u884c\u7684 Group Relative Policy Optimization (GRPO) \u7b97\u6cd5\u3002\u4e0e Proximal Policy Optimization (PPO) \u7b49\u66f4\u4f20\u7edf\u7684\u65b9\u6cd5\u76f8\u6bd4\uff0cGRPO \u7b80\u5316\u4e86\u8bad\u7ec3\u8fc7\u7a0b\uff0c\u540c\u65f6\u4ecd\u7136\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6027\u80fd\u3002\u4e3a\u4e86\u52a0\u5feb\u5b9e\u9a8c\u901f\u5ea6\uff0c\u4ed6\u4eec\u7701\u7565\u4e86\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Kullback%E2%80%93Leibler_divergence\">Kullback\u2013Leibler (KL) \u6563\u5ea6<\/a>\u00a0\u60e9\u7f5a\uff0c\u5c3d\u7ba1\u4ed6\u4eec\u7684\u8bad\u7ec3\u65b9\u6848\u4e5f\u652f\u6301\u5b83\u3002<\/p>\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u8bad\u7ec3\u5faa\u73af\u9075\u5faa\u4ee5\u4e0b\u57fa\u672c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li>\u751f\u6210\u6a21\u578b\u5bf9\u8c1c\u9898\u4efb\u52a1\u7684\u54cd\u5e94\u3002<\/li>\n<li>\u5bf9\u54cd\u5e94\u8fdb\u884c\u8bc4\u5206\uff0c\u5e76\u4f30\u8ba1\u6bcf\u7ec4\u804a\u5929\u5b8c\u6210\u7684\u4f18\u52bf (\u8fd9\u5c31\u662f GRPO \u4e2d\u7684\u201cGroup Relative\u201d\u90e8\u5206)\u3002<\/li>\n<li>\u4f7f\u7528\u7531\u8fd9\u4e9b\u4f18\u52bf\u4f30\u8ba1\u6307\u5bfc\u7684\u88c1\u526a\u7b56\u7565\u68af\u5ea6\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\u3002<\/li>\n<li>\u4f7f\u7528\u65b0\u7684\u8c1c\u9898\u548c\u6700\u65b0\u7248\u672c\u7684\u6a21\u578b\u91cd\u590d\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u76f4\u5230\u8fbe\u5230\u6700\u4f73\u6027\u80fd\u3002<\/li>\n<\/ol>\n<p>\u4e3a\u4e86\u751f\u6210\u54cd\u5e94\uff0c\u4ed6\u4eec\u4f7f\u7528\u4e86\u6d41\u884c\u7684\u00a0<a href=\"https:\/\/blog.vllm.ai\/2023\/06\/20\/vllm.html\">vLLM<\/a>\u00a0\u63a8\u7406\u5f15\u64ce\u3002\u4ed6\u4eec\u8c03\u6574\u4e86\u53c2\u6570\u9009\u62e9\uff0c\u4ee5\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u541e\u5410\u91cf\u5e76\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u542f\u52a8\u65f6\u95f4\u3002\u524d\u7f00\u7f13\u5b58\u5c24\u4e3a\u91cd\u8981\uff0c\u56e0\u4e3a\u4ed6\u4eec\u4e3a\u6bcf\u4e2a\u4efb\u52a1\u91c7\u6837\u4e86\u8bb8\u591a\u54cd\u5e94\uff0c\u800c\u7f13\u5b58\u63d0\u793a\u6709\u52a9\u4e8e\u907f\u514d\u5197\u4f59\u8ba1\u7b97\u3002<\/p>\n<p>\u4ed6\u4eec\u89c2\u5bdf\u5230\uff0c\u8fc7\u591a\u7684\u8bf7\u6c42\u4f1a\u4f7f <a href=\"https:\/\/www.kdjingpai.com\/de\/vllm\/\">vLLM<\/a> \u4e0d\u582a\u91cd\u8d1f\uff0c\u4ece\u800c\u5bfc\u81f4\u62a2\u5360\u6216\u6362\u51fa\u6b63\u5728\u8fdb\u884c\u7684\u8bf7\u6c42\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u4ed6\u4eec\u4f7f\u7528\u4fe1\u53f7\u91cf\u9650\u5236\u4e86\u8bf7\u6c42\uff0c\u8be5\u4fe1\u53f7\u91cf\u7ecf\u8fc7\u8c03\u6574\u4ee5\u4fdd\u6301\u9ad8\u7684\u952e\u503c (KV) \u7f13\u5b58\u5229\u7528\u7387\uff0c\u540c\u65f6\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u4ea4\u6362\u3002\u66f4\u9ad8\u7ea7\u7684\u8c03\u5ea6\u673a\u5236\u53ef\u4ee5\u5728\u652f\u6301\u7075\u6d3b\u751f\u6210\u957f\u5ea6\u7684\u540c\u65f6\u4ea7\u751f\u66f4\u9ad8\u7684\u5229\u7528\u7387\u3002<\/p>\n<p>\u91c7\u6837\u540e\uff0c\u4f7f\u7528\u6807\u51c6\u7684\u00a0<a href=\"https:\/\/huggingface.co\/docs\/transformers\">HuggingFace Transformers<\/a>\u00a0<a href=\"https:\/\/huggingface.co\/docs\/transformers\/en\/model_doc\/auto#transformers.AutoTokenizer\">AutoTokenizer<\/a>\u00a0\u5904\u7406\u5b8c\u6210\u3002\u5b83\u7684\u804a\u5929\u6a21\u677f\u529f\u80fd\u5c06\u6d88\u606f\u5bf9\u8c61\u5448\u73b0\u4e3a\u63d0\u793a\u5b57\u7b26\u4e32\uff0c\u5305\u62ec\u4e00\u4e2a\u52a9\u624b\u63a9\u7801\uff0c\u7528\u4e8e\u786e\u5b9a LLM \u751f\u6210\u4e86\u54ea\u4e9b token\u3002\u4ed6\u4eec\u5728\u9ed8\u8ba4\u6a21\u677f\u4e2d\u7f3a\u5c11\u5fc5\u8981\u7684\u00a0<code>%generation%<\/code>\u00a0\u6807\u7b7e\uff0c\u56e0\u6b64\u5728\u6807\u8bb0\u5316\u6b65\u9aa4\u4e2d\u5bf9\u5176\u8fdb\u884c\u4e86\u4fee\u6539\u3002\u751f\u6210\u7684\u52a9\u624b\u63a9\u7801\u5305\u542b\u5728\u7528\u4e8e\u8c03\u6574\u7684\u5f20\u91cf\u5b57\u5178\u4e2d\uff0c\u7528\u4e8e\u8bc6\u522b\u54ea\u4e9b\u4f4d\u7f6e\u9700\u8981\u8ba1\u7b97\u635f\u5931\u3002<\/p>\n<p>\u5728\u5bf9\u54cd\u5e94\u8fdb\u884c\u5206\u8bcd\u5e76\u83b7\u5f97\u52a9\u624b\u63a9\u7801\u540e\uff0c\u4ed6\u4eec\u5c06\u6570\u636e\u6253\u5305\u4ee5\u8fdb\u884c\u8c03\u4f18\u3002\u9664\u4e86\u5728\u6bcf\u4e2a\u6253\u5305\u5e8f\u5217\u4e2d\u5305\u542b\u591a\u4e2a\u63d0\u793a\/\u54cd\u5e94\u5bf9\u4e4b\u5916\uff0c\u4ed6\u4eec\u8fd8\u8bc6\u522b\u4e86\u5171\u4eab\u7684\u63d0\u793a token\uff0c\u5e76\u4e3a\u6bcf\u4e2a token \u5206\u914d\u4e86\u4e00\u4e2a\u7236 ID \u4ee5\u53ca\u6807\u51c6\u7684\u7ec4 ID\u3002\u7279\u522b\u662f\u5bf9\u4e8e\u50cf Temporal Clue \u8fd9\u6837\u7684\u4efb\u52a1\uff08\u6bcf\u4e2a\u8c1c\u9898\u5e73\u5747\u8d85\u8fc7 1000 \u4e2a token\uff09\uff0c\u4e3a\u6bcf\u4e2a\u4efb\u52a1\u751f\u6210\u5927\u91cf\u54cd\u5e94\u5e76\u6709\u6548\u5730\u6253\u5305\u5f20\u91cf\u53ef\u4ee5\u663e\u8457\u51cf\u5c11\u5197\u4f59\u3002\u4e00\u65e6\u6253\u5305\u4e86\u6240\u6709\u5fc5\u8981\u7684\u4fe1\u606f\uff0c\u5c31\u53ef\u4ee5\u4e8c\u7ef4\u53ef\u89c6\u5316\u8bad\u7ec3\u6570\u636e\u96c6\uff0c\u6bcf\u4e00\u884c\u90fd\u662f\u4e00\u4e2a token \u5e8f\u5217\uff0c\u53ef\u80fd\u5305\u542b\u591a\u4e2a\u63d0\u793a\u548c\u5b8c\u6210\uff1a<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27893\" title=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-2\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/b506ef6fb86a36e.png\" alt=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-2\" width=\"1469\" height=\"1990\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/b506ef6fb86a36e.png 1469w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/b506ef6fb86a36e-768x1040.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/b506ef6fb86a36e-1134x1536.png 1134w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/b506ef6fb86a36e-9x12.png 9w\" sizes=\"auto, (max-width: 1469px) 100vw, 1469px\" \/><\/p>\n<p>\u6709\u4e86\u7d27\u5bc6\u6253\u5305\u7684\u6570\u636e\uff0c\u5c31\u53ef\u4ee5\u8fdb\u884c\u8c03\u4f18\u4e86\u3002\u6a21\u578b\u5df2\u7ecf\u8fc7\u9884\u8bad\u7ec3\u3001\u6307\u4ee4\u8c03\u4f18\uff0c\u76f8\u5f53\u667a\u80fd\uff0c\u5e76\u4e14\u64c5\u957f\u9075\u5faa\u6307\u4ee4\u3002\u7136\u800c\uff0c\u5b83\u4eec\u8fd8\u4e0d\u80fd\u53ef\u9760\u5730\u89e3\u51b3 Temporal Clue \u8c1c\u9898\u3002\u4e0d\u8fc7\uff0c\u5b83\u4eec\u5076\u5c14\u4f1a\u6210\u529f\uff0c\u8fd9\u5c31\u8db3\u591f\u4e86\u3002\u901a\u8fc7\u589e\u52a0\u826f\u597d\u63a8\u7406\u7684\u6982\u7387\u5e76\u964d\u4f4e\u4e0d\u826f\u63a8\u7406\u7684\u6982\u7387\uff0c\u9010\u6e10\u5c06\u6a21\u578b\u5f15\u5bfc\u81f3\u201c\u795e\u63a2\u201d\u72b6\u6001\u3002\u8fd9\u662f\u4f7f\u7528\u6807\u51c6\u7684\u673a\u5668\u5b66\u4e60\u6280\u672f\u5b9e\u73b0\u7684\uff0c\u91c7\u7528\u7b56\u7565\u68af\u5ea6\u65b9\u6cd5\u6765\u8ba1\u7b97\u635f\u5931\u5e76\u6709\u5229\u5730\u8f6c\u79fb\u6743\u91cd\u3002<\/p>\n<p>\u5bf9\u4e8e\u8bad\u7ec3\uff0c\u4f7f\u7528\u4e86 PyTorch \u56e2\u961f\u63d0\u4f9b\u7684\u00a0<a href=\"https:\/\/pytorch.org\/torchtune\">torchtune<\/a>\u00a0\u5e93\u3002Torchtune \u5177\u6709\u9ad8\u6548\u7684\u4ec5\u89e3\u7801\u5668 <a href=\"https:\/\/www.kdjingpai.com\/de\/transformer\/\">transformer<\/a> \u5b9e\u73b0\uff0c\u9002\u7528\u4e8e\u6d41\u884c\u7684\u6a21\u578b\uff0c\u5305\u62ec Llama\u3001Gemma\u3001Phi \u7b49\u3002\u867d\u7136\u4e3b\u8981\u4f7f\u7528 Qwen \u6a21\u578b\u8fdb\u884c\u6b64\u9879\u76ee\uff0c\u4f46\u4ed6\u4eec\u4e5f\u4f7f\u7528 Meta \u7684 Llama 8B \u548c 70B \u6a21\u578b\u8fdb\u884c\u4e86\u5b9e\u9a8c\u3002Torchtune \u8fd8\u63d0\u4f9b\u4e86\u8282\u7701\u5185\u5b58\u548c\u63d0\u9ad8\u6027\u80fd\u7684\u5b9e\u7528\u7a0b\u5e8f\uff0c\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u6fc0\u6d3b\u68c0\u67e5\u70b9<\/li>\n<li>\u6fc0\u6d3b\u5378\u8f7d<\/li>\n<li>\u91cf\u5316<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2312.12148\">\u53c2\u6570\u9ad8\u6548\u5fae\u8c03 (PEFT)<\/a>\uff0c\u4f8b\u5982\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.09685\">\u4f4e\u79e9\u81ea\u9002\u5e94 (LoRA)<\/a><\/li>\n<\/ul>\n<p>\u6709\u5173\u652f\u6301\u7684\u4f18\u5316\u7684\u5b8c\u6574\u5217\u8868\uff0c\u8bf7\u53c2\u9605<a href=\"https:\/\/github.com\/pytorch\/torchtune?tab=readme-ov-file#optimization-flags\">\u6b64\u5904\u7684\u81ea\u8ff0\u6587\u4ef6<\/a>\u3002<\/p>\n<p>\u6b64\u5916\uff0cTorchtune \u652f\u6301\u591a\u8bbe\u5907\uff08\u4ee5\u53ca\u73b0\u5728\u7684<a href=\"https:\/\/pytorch.org\/torchtune\/main\/tutorials\/multinode.html\">\u591a\u8282\u70b9<\/a>\uff09\u8bad\u7ec3\uff0c\u4f7f\u5176\u6210\u4e3a\u5927\u578b\u6a21\u578b\u7684\u7406\u60f3\u9009\u62e9\u3002\u5b83\u540c\u65f6\u652f\u6301\u5b8c\u5168\u5206\u7247\u6570\u636e\u5e76\u884c (FSDP) \u548c\u5f20\u91cf\u5e76\u884c (TP) \u8bad\u7ec3\uff0c\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528\u3002\u4ed6\u4eec\u8fd8\u63d0\u4f9b\u4e86<a href=\"https:\/\/github.com\/pytorch\/torchtune\/tree\/main\/recipes\">\u5341\u51e0\u4e2a\u65b9\u6848<\/a>\uff0c\u9f13\u52b1\u7528\u6237\u590d\u5236\u5e76\u9488\u5bf9\u81ea\u5df1\u7684\u7528\u4f8b\u8fdb\u884c\u5b9a\u5236\u3002\u4ed6\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u4fee\u6539\u7248\u7684\u5b8c\u6574\u5fae\u8c03\u65b9\u6848\uff0c\u652f\u6301\uff1a<\/p>\n<ul>\n<li>\u591a\u8bbe\u5907\u548c\u5355\u8bbe\u5907\u8bad\u7ec3<\/li>\n<li>\u7528\u4e8e\u8ba1\u7b97 KL \u6563\u5ea6\u7684\u53c2\u8003\u6a21\u578b\u52a0\u8f7d\u548c\u6743\u91cd\u4ea4\u6362<\/li>\n<li>\u4f7f\u7528\u7ec4 ID \u548c\u7236 ID \u8fdb\u884c\u9ad8\u7ea7\u56e0\u679c\u63a9\u7801\u8ba1\u7b97<\/li>\n<li>GRPO \u635f\u5931\u96c6\u6210\u548c\u7ec4\u4ef6\u65e5\u5fd7\u8bb0\u5f55<\/li>\n<\/ul>\n<p>\u8be5\u65b9\u6848\u53ef\u4ee5\u5728<a href=\"https:\/\/github.com\/openpipe\/deductive-reasoning\/blob\/main\/lib\/recipe.py\">\u8fd9\u91cc<\/a>\u770b\u5230\u3002\u672a\u6765\uff0c\u4ed6\u4eec\u5e0c\u671b\u6dfb\u52a0\u5f20\u91cf\u5e76\u884c\u652f\u6301\uff0c\u5e76\u63a2\u7d22 PEFT \u548c\u91cf\u5316\u3002<\/p>\n<p>RL \u8bad\u7ec3\u8fc7\u7a0b\u6d89\u53ca\u9009\u62e9\u5927\u91cf\u7684\u8d85\u53c2\u6570\u3002\u5728\u8bad\u7ec3\u6a21\u578b\u65f6\uff0c\u4ed6\u4eec\u6d4b\u8bd5\u4e86\u5404\u79cd\u914d\u7f6e\uff0c\u5e76\u4e3b\u8981\u786e\u5b9a\u4e86\u4ee5\u4e0b\u914d\u7f6e\uff1a<\/p>\n<ul>\n<li>\u6a21\u578b\uff1aQwen 2.5 Instruct 14B \u548c 32B<\/li>\n<li>\u6bcf\u6b21\u8fed\u4ee3\u7684\u4efb\u52a1\u6570\uff1a32<\/li>\n<li>\u6bcf\u6b21\u8fed\u4ee3\u6bcf\u4e2a\u4efb\u52a1\u7684\u6837\u672c\u6570\uff1a50<\/li>\n<li>\u6bcf\u6b21\u8fed\u4ee3\u7684\u603b\u6837\u672c\u6570\uff1a32 * 50 = 1600<\/li>\n<li>\u5b66\u4e60\u7387\uff1a6e-6<\/li>\n<li>\u5fae\u6279\u91cf\u5927\u5c0f\uff1a14B \u6a21\u578b\u4e3a 4 \u4e2a\u5e8f\u5217\uff0c32B \u6a21\u578b\u4e3a 8 \u4e2a<\/li>\n<li>\u6279\u91cf\u5927\u5c0f\uff1a\u53ef\u53d8\uff0c\u53d6\u51b3\u4e8e\u5e8f\u5217\u7684\u6570\u91cf<\/li>\n<\/ul>\n<p>\u6279\u91cf\u5927\u5c0f\u662f\u53ef\u53d8\u7684\uff0c\u56e0\u4e3a\u5728\u8bad\u7ec3\u671f\u95f4\u54cd\u5e94\u957f\u5ea6\u53ef\u80fd\u4f1a\u53d1\u751f\u53d8\u5316\uff0c\u5e8f\u5217\u6253\u5305\u6548\u7387\u5728\u6bcf\u6b21\u8fed\u4ee3\u4e2d\u90fd\u4f1a\u6ce2\u52a8\uff0c\u5e76\u4e14\u4f1a\u4e22\u5f03\u96f6\u4f18\u52bf\u7684\u54cd\u5e94\uff08\u5373\u6a21\u578b\u6ca1\u6709\u7ed9\u51fa\u4efb\u4f55\u79ef\u6781\u6216\u6d88\u6781\u53cd\u9988\u7684\u54cd\u5e94\uff09\u3002\u5728\u4e00\u6b21\u8fd0\u884c\u4e2d\uff0c\u5c1d\u8bd5\u4e86\u6839\u636e\u6279\u91cf\u5927\u5c0f\u52a8\u6001\u8c03\u6574\u5b66\u4e60\u7387\uff0c\u4f46\u8fd9\u5bfc\u81f4\u5c0f\u6279\u91cf\u5927\u5c0f\u7684\u5b66\u4e60\u7387\u8fc7\u9ad8\uff0c\u9700\u8981\u8bbe\u7f6e\u4e0a\u9650\u3002\u8bbe\u7f6e\u4e0a\u9650\u7684\u7248\u672c\u4e0e\u4f7f\u7528\u6052\u5b9a\u5b66\u4e60\u7387\u6ca1\u6709\u660e\u663e\u5dee\u5f02\uff0c\u4f46\u8c03\u6574\u6279\u91cf\u5927\u5c0f\u548c\u5b66\u4e60\u7387\u4ecd\u7136\u662f\u672a\u6765\u5b9e\u9a8c\u7684\u4e00\u4e2a\u6709\u8da3\u9886\u57df\u3002<\/p>\n<p>\u4ed6\u4eec\u8fd8\u8fdb\u884c\u4e86\u7b80\u77ed\u7684\u5b9e\u9a8c\uff0c\u589e\u52a0\u6bcf\u6b21\u8fed\u4ee3\u7684\u4efb\u52a1\u6570\uff0c\u540c\u65f6\u51cf\u5c11\u6bcf\u4e2a\u4efb\u52a1\u7684\u6837\u672c\u6570\uff0c\u53cd\u4e4b\u4ea6\u7136\uff0c\u4fdd\u6301\u6bcf\u6b21\u8fed\u4ee3\u7684\u603b\u6837\u672c\u6570\u5927\u81f4\u76f8\u7b49\u3002\u5728\u8f83\u77ed\u7684\u8bad\u7ec3\u65f6\u95f4\u5185\uff0c\u8fd9\u4e9b\u53d8\u5316\u6ca1\u6709\u663e\u793a\u51fa\u6709\u610f\u4e49\u7684\u5dee\u5f02\uff0c\u8fd9\u8868\u660e\u8be5\u65b9\u6848\u5bf9\u4e8e\u4efb\u52a1\u6570\u91cf\u548c\u6bcf\u4e2a\u4efb\u52a1\u7684\u6837\u672c\u6570\u91cf\u4e4b\u95f4\u7684\u4e0d\u540c\u5e73\u8861\u662f\u7a33\u5065\u7684\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u7ed3\u679c<\/h2>\n<p>\u5728\u5bf9\u6a21\u578b\u8fdb\u884c 100 \u591a\u6b21\u8fed\u4ee3\u8bad\u7ec3\u540e\uff0c\u8fbe\u5230\u4e86\u524d\u6cbf\u7684\u63a8\u7406\u6c34\u5e73\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27895\" title=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-3\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a7dd324d20e80f0.png\" alt=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-3\" width=\"1626\" height=\"1078\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a7dd324d20e80f0.png 1626w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a7dd324d20e80f0-768x509.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a7dd324d20e80f0-1536x1018.png 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a7dd324d20e80f0-18x12.png 18w\" sizes=\"auto, (max-width: 1626px) 100vw, 1626px\" \/><\/p>\n<p>\u6a21\u578b\u8fc5\u901f\u6539\u8fdb\uff0c\u7136\u540e\u51c6\u786e\u7387\u7684\u63d0\u9ad8\u5f00\u59cb\u9010\u6e10\u51cf\u5c11\u5e76\u6700\u7ec8\u4e0b\u964d\uff0c\u6709\u65f6\u751a\u81f3\u6025\u5267\u4e0b\u964d\u3002\u5728\u6700\u4f73\u72b6\u6001\u4e0b\uff0c14B \u6a21\u578b\u63a5\u8fd1 Claude Sonnet 3.7 \u5728 16k token \u65f6\u7684\u6027\u80fd\uff0c32B \u6a21\u578b\u51e0\u4e4e\u4e0e Sonnet \u5728 64k token \u65f6\u7684\u7ed3\u679c\u76f8\u5339\u914d\u3002<\/p>\n<p>\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u6027\u80fd\u63d0\u5347\u9075\u5faa\u5e42\u5f8b\uff0c\u5728\u5bf9\u6570-\u5bf9\u6570\u56fe\u4e0a\u5f62\u6210\u7ebf\u6027\u5173\u7cfb\uff08\u5728\u6076\u5316\u4e4b\u524d\uff09\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27894\" title=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-4\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/30bcdc477c350b7.png\" alt=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-4\" width=\"1626\" height=\"1078\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/30bcdc477c350b7.png 1626w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/30bcdc477c350b7-768x509.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/30bcdc477c350b7-1536x1018.png 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/30bcdc477c350b7-18x12.png 18w\" sizes=\"auto, (max-width: 1626px) 100vw, 1626px\" \/><\/p>\n<p>\u4ed6\u4eec\u6000\u7591\uff0c\u8fd9\u4e9b\u6a21\u578b\u53ef\u80fd\u8fc7\u65e9\u5730\u6536\u655b\u4e8e\u4e00\u5f00\u59cb\u5c31\u6709\u6548\u7684\u8d2a\u5a6a\u7b56\u7565\uff0c\u4f46\u53ef\u80fd\u9650\u5236\u4e86\u5b83\u4eec\u7684\u957f\u671f\u524d\u666f\u3002\u4e0b\u4e00\u6b65\uff0c\u53ef\u4ee5\u63a2\u7d22\u9f13\u52b1\u591a\u6837\u5316\u54cd\u5e94\u7684\u65b9\u6cd5\uff0c\u6216\u9010\u6b65\u6784\u5efa\u80fd\u529b\u7684\u65b9\u6cd5\uff08\u5982\u8bfe\u7a0b\u5b66\u4e60\uff09\uff0c\u6216\u4e3a\u7279\u522b\u51fa\u8272\u7684\u89e3\u51b3\u65b9\u6848\u5206\u914d\u66f4\u5927\u7684\u5956\u52b1\uff0c\u4ee5\u6fc0\u52b1\u5f7b\u5e95\u7684\u63a2\u7d22\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u4ed6\u4eec\u8fd8\u6ce8\u610f\u5230\u4e86\u8bad\u7ec3\u671f\u95f4\u8f93\u51fa\u957f\u5ea6\u7684\u6709\u8da3\u6a21\u5f0f\u3002\u6700\u521d\uff0c\u54cd\u5e94\u53d8\u5f97\u66f4\u957f\uff0c\u7136\u540e\u7a33\u5b9a\u4e0b\u6765\uff0c\u7136\u540e\u5728\u8bad\u7ec3\u63a5\u8fd1\u7ed3\u675f\u65f6\u51fa\u73b0\u5206\u6b67\uff0c14B \u6a21\u578b\u7684\u54cd\u5e94\u53d8\u5f97\u66f4\u957f\uff0c\u800c 32B \u6a21\u578b\u7684\u54cd\u5e94\u957f\u5ea6\u7f29\u77ed\uff0c\u5c24\u5176\u662f\u5728\u8fbe\u5230\u5cf0\u503c\u6027\u80fd\u4e4b\u540e\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27896\" title=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-5\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1bc1551154b034d.png\" alt=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-5\" width=\"1590\" height=\"590\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1bc1551154b034d.png 1590w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1bc1551154b034d-768x285.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1bc1551154b034d-1536x570.png 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1bc1551154b034d-18x7.png 18w\" sizes=\"auto, (max-width: 1590px) 100vw, 1590px\" \/><\/p>\n<p>\u4e3a\u4e86\u5b9a\u6027\u8bc4\u4f30\u903b\u8f91\u63a8\u7406\u7684\u6539\u8fdb\uff0c\u4ed6\u4eec\u8ba9\u6700\u5f3a\u7684\u524d\u6cbf\u6a21\u578b Claude Sonnet 3.7 \u8bc6\u522b\u548c\u8bc4\u4f30 Qwen 32B \u6a21\u578b\u5728\u7c7b\u4f3c\u8c1c\u9898\u4e0a\u8fdb\u884c\u7684\u63a8\u7406\u7684\u5408\u7406\u6027\u2014\u2014\u5728\u8bad\u7ec3 100 \u591a\u6b21\u8fed\u4ee3\u4e4b\u524d\u548c\u4e4b\u540e\u3002<a href=\"https:\/\/gist.github.com\/bradhilton\/c012ce9ed7b8e7c993b14b9761574a3c#file-base-md\">Sonnet \u4ece\u57fa\u7840\u6a21\u578b\u4e2d\u8bc6\u522b\u51fa 6 \u4e2a\u63a8\u8bba\uff0c\u5176\u4e2d\u9664 1 \u4e2a\u5916\u5747\u88ab\u5224\u5b9a\u4e3a\u9519\u8bef\uff1b<\/a><a href=\"https:\/\/gist.github.com\/bradhilton\/c012ce9ed7b8e7c993b14b9761574a3c#file-trained-md\">\u76f8\u53cd\uff0c\u5b83\u4ece\u8bad\u7ec3\u540e\u7684\u6a21\u578b\u4e2d\u8bc6\u522b\u51fa 7 \u4e2a\u63a8\u8bba\uff0c\u5176\u4e2d\u9664 1 \u4e2a\u5916\u5747\u88ab\u5224\u5b9a\u4e3a\u903b\u8f91\u4e0a\u5408\u7406\u3002<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27897\" title=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-6\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4182b5bf70abafe.png\" alt=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-6\" width=\"1626\" height=\"433\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4182b5bf70abafe.png 1626w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4182b5bf70abafe-768x205.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4182b5bf70abafe-1536x409.png 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/4182b5bf70abafe-18x5.png 18w\" sizes=\"auto, (max-width: 1626px) 100vw, 1626px\" \/><\/p>\n<p>\u6700\u540e\uff0c\u5047\u8bbe<a href=\"https:\/\/fireworks.ai\/pricing#ondemand\">\u6309\u9700\u90e8\u7f72<\/a>\u5177\u6709<a href=\"https:\/\/fireworks.ai\/blog\/why-gpus-on-demand\">\u8db3\u591f\u7684\u541e\u5410\u91cf<\/a>\uff0c\u4ed6\u4eec\u6839\u636e\u00a0<a href=\"https:\/\/fireworks.ai\/\">Fireworks AI<\/a>\u00a0\u7684<a href=\"https:\/\/fireworks.ai\/pricing#text\">\u65e0\u670d\u52a1\u5668\u5b9a\u4ef7\u5c42\u7ea7<\/a>\u4f30\u7b97\u4e86 Qwen \u6a21\u578b\u7684\u6210\u672c\u3002\u4ed6\u4eec\u5c06\u51c6\u786e\u7387\u4e0e\u6bcf\u6b21\u54cd\u5e94\u7684\u5e73\u5747\u63a8\u7406\u6210\u672c\u7684\u81ea\u7136\u5bf9\u6570\u8fdb\u884c\u4e86\u5bf9\u6bd4\uff0c\u5e76\u89c2\u5bdf\u5230\u5728\u672a\u8c03\u6574\u7684\u6a21\u578b\u4e2d\u5b58\u5728\u6e05\u6670\u7684\u7ebf\u6027\u5e15\u7d2f\u6258\u524d\u6cbf\u3002\u901a\u8fc7\u6210\u529f\u5730\u5c06\u5f00\u6e90\u6a21\u578b\u8bad\u7ec3\u5230\u524d\u6cbf\u7684\u51c6\u786e\u7387\u6c34\u5e73\uff0c\u663e\u8457\u6539\u5584\u4e86\u6210\u672c\u4e0e\u51c6\u786e\u7387\u4e4b\u95f4\u7684\u6743\u8861\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27898\" title=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-7\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/8f2328a9a9b2a70.png\" alt=\"GRPO \u5982\u4f55\u5728\u201c\u65f6\u95f4\u7ebf\u7d22\u201d\u6e38\u620f\u4e2d\u8d85\u8d8a o1\u3001o3-mini \u53ca R1-7\" width=\"1626\" height=\"1078\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/8f2328a9a9b2a70.png 1626w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/8f2328a9a9b2a70-768x509.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/8f2328a9a9b2a70-1536x1018.png 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/8f2328a9a9b2a70-18x12.png 18w\" sizes=\"auto, (max-width: 1626px) 100vw, 1626px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u603b\u7ed3<\/h2>\n<p>\u5728\u672c\u6b21\u8c03\u67e5\u4e2d\uff0c\u4ed6\u4eec\u8bd5\u56fe\u63a2\u7d22\u89c4\u6a21\u8f83\u5c0f\u3001\u5f00\u6e90\u7684\u8bed\u8a00\u6a21\u578b\u662f\u5426\u53ef\u4ee5\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u5b9e\u73b0\u524d\u6cbf\u7684\u63a8\u7406\u80fd\u529b\u3002\u5728\u4f7f\u7528\u7cbe\u5fc3\u9009\u62e9\u7684\u8d85\u53c2\u6570\u548c GRPO \u65b9\u6cd5\u5bf9 Qwen 14B \u548c 32B \u6a21\u578b\u8fdb\u884c\u5177\u6709\u6311\u6218\u6027\u7684 Temporal Clue \u8c1c\u9898\u8bad\u7ec3\u540e\uff0c\u4ed6\u4eec\u53d6\u5f97\u4e86\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\u7684\u6027\u80fd\u63d0\u5347\u3002\u8fd9\u4e9b\u6539\u8fdb\u5c06\u5f00\u6e90\u6a21\u578b\u5e26\u5230\u4e86\u63a8\u7406\u6027\u80fd\u7684\u524d\u6cbf\uff0c\u540c\u65f6\u663e\u8457\u964d\u4f4e\u4e86\u6210\u672c\u3002\u7814\u7a76\u7ed3\u679c\u7a81\u51fa\u4e86\u5f3a\u5316\u5b66\u4e60\u5728\u590d\u6742\u63a8\u7406\u4efb\u52a1\u4e0a\u9ad8\u6548\u8bad\u7ec3\u5f00\u653e\u6a21\u578b\u7684\u6f5c\u529b\u3002<\/p>\n<p>\u5982\u524d\u6240\u8ff0\uff0c<a href=\"https:\/\/github.com\/bradhilton\/temporal-clue\">\u6570\u636e\u96c6<\/a>\u3001<a href=\"https:\/\/github.com\/openpipe\/rl-experiments\">\u5b9e\u9a8c<\/a>\u3001<a href=\"https:\/\/github.com\/openpipe\/deductive-reasoning\">\u8bad\u7ec3\u65b9\u6848<\/a>\u00a0\u548c\u6a21\u578b\u6743\u91cd (<a href=\"https:\/\/huggingface.co\/OpenPipe\/Deductive-Reasoning-Qwen-14B\">14B<\/a>,\u00a0<a href=\"https:\/\/huggingface.co\/OpenPipe\/Deductive-Reasoning-Qwen-32B\">32B<\/a>) \u5747\u53ef\u5728 MIT \u8bb8\u53ef\u4e0b\u514d\u8d39\u83b7\u5f97\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u4ed6\u4eec\u8fd8\u53d1\u73b0\uff0c\u53ea\u9700\u00a0<strong>16 \u4e2a\u8bad\u7ec3\u793a\u4f8b<\/strong>\u00a0\u5373\u53ef\u5b9e\u73b0\u9ad8\u8fbe 10-15% \u7684\u6709\u610f\u4e49\u7684\u6027\u80fd\u63d0\u5347\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8fd1\u5e74\u6765\uff0c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u5728\u63a8\u7406\u80fd\u529b\u4e0a\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002\u53bb\u5e74\uff0cOpenAI \u5c55\u793a\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLMs) \u7684\u5f3a\u5927\u63a8\u7406\u6f5c\u529b\u540e\uff0cGoogle DeepMind\u3001\u963f\u91cc\u5df4\u5df4\u3001DeepSeek \u548c Anthropic \u7b49\u673a\u6784\u8fc5\u901f\u8ddf\u8fdb\uff0c\u5229\u7528\u5f3a\u5316\u5b66\u4e60 (RL&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61988,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,34],"tags":[],"class_list":["post-27891","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-knowledge"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/27891","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=27891"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/27891\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/61988"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=27891"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=27891"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=27891"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}