{"id":24303,"date":"2025-02-06T10:03:50","date_gmt":"2025-02-06T02:03:50","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=24303"},"modified":"2025-02-06T10:03:50","modified_gmt":"2025-02-06T02:03:50","slug":"%e8%ae%ad%e7%bb%831000%e6%a0%b7%e6%9c%ac%e5%b0%b1%e8%83%bd%e8%b6%85%e8%b6%8ao1%ef%bc%8c%e6%9d%8e%e9%a3%9e%e9%a3%9e%e7%ad%89%e4%ba%ba%e7%94%bb%e5%87%baai%e6%89%a9%e5%b1%95%e6%96%b0%e6%9b%b2%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/02\/06\/24303\/","title":{"rendered":"\u8bad\u7ec31000\u6837\u672c\u5c31\u80fd\u8d85\u8d8ao1\uff0c\u674e\u98de\u98de\u7b49\u4eba\u753b\u51faAI\u6269\u5c55\u65b0\u66f2\u7ebf"},"content":{"rendered":"
\"\"<\/div>\n
<\/div>\n
\u6700\u8fd1\u4e00\u6bb5\u65f6\u95f4\uff0c\u5168\u4e16\u754c\u7684\u79d1\u6280\u516c\u53f8\u3001\u7814\u7a76\u56e2\u961f\u90fd\u5728\u5c1d\u8bd5\u590d\u73b0 DeepSeek\uff0c\u4f46\u5982\u679c\u8fd9\u4e2a\u65f6\u5019\u6709\u4eba\u8bf4\u300c\u6211\u8fd8\u80fd\u5927\u5e45\u6539\u8fdb AI \u7684\u63a8\u7406\u6548\u7387\u300d\uff0c\u4f60\u4f1a\u600e\u4e48\u60f3\uff1f<\/div>\n
\n
\n

\u4eca\u5e74 1 \u6708\uff0cDeepSeek R1 \u5f15\u7206\u4e86\u5168\u7403\u79d1\u6280\u754c\uff0c\u5b83\u521b\u65b0\u7684\u65b9\u6cd5\uff0c\u5927\u5e45\u7b80\u5316\u7684\u7b97\u529b\u9700\u6c42\u64bc\u52a8\u4e86\u82f1\u4f1f\u8fbe\u4e07\u4ebf\u5e02\u503c\uff0c\u66f4\u5f15\u53d1\u4e86\u5168\u884c\u4e1a\u7684\u53cd\u601d\u3002\u5728\u901a\u5f80 AGI\uff08\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff09\u7684\u8def\u4e0a\uff0c\u6211\u4eec\u73b0\u5728\u4e0d\u5fc5\u4e00\u5473\u6269\u5927\u7b97\u529b\u89c4\u6a21\uff0c\u66f4\u9ad8\u6548\u7684\u65b0\u65b9\u6cd5\u5e26\u6765\u4e86\u66f4\u591a\u7684\u521b\u65b0\u53ef\u80fd\u3002<\/p>\n

\u6700\u8fd1\u4e00\u6bb5\u65f6\u95f4\uff0c\u5168\u4e16\u754c\u7684\u79d1\u6280\u516c\u53f8\u3001\u7814\u7a76\u56e2\u961f\u90fd\u5728\u5c1d\u8bd5\u590d\u73b0 DeepSeek\uff0c\u4f46\u5982\u679c\u8fd9\u4e2a\u65f6\u5019\u6709\u4eba\u8bf4\u300c\u6211\u8fd8\u80fd\u5927\u5e45\u6539\u8fdb AI \u7684\u63a8\u7406\u6548\u7387\u300d\uff0c\u4f60\u4f1a\u600e\u4e48\u60f3\uff1f<\/p>\n

<\/p>\n

s1 \u8bba\u6587\u4f5c\u8005\uff0c\u65af\u5766\u798f\u5927\u5b66\u5728\u8bfb\u535a\u58eb Niklas Muennighoff \u8868\u793a\uff0cDeepSeek r1 \u4ee4\u4eba\u5174\u594b\uff0c\u4f46\u5176\u7f3a\u5c11 OpenAI \u7684\u6d4b\u8bd5\u65f6\u95f4\u6269\u5c55\u56fe\u5e76\u4e14\u9700\u8981\u5927\u91cf\u6570\u636e\u3002\u6211\u4eec\u63a8\u51fa\u7684 s1 \u4ec5\u4f7f\u7528 1K \u6837\u672c\u548c\u7b80\u5355\u7684\u6d4b\u8bd5\u65f6\u95f4\u5e72\u9884\u5373\u53ef\u91cd\u73b0 o1 \u7684\u9884\u89c8\u6269\u5c55\u548c\u6027\u80fd\u3002<\/p>\n

\u8fd9\u4e2a\u65b0\u65b9\u6cd5\u53eb s1\u3002\u672c\u5468\uff0c\u65af\u5766\u798f\u5927\u5b66\u3001\u534e\u76db\u987f\u5927\u5b66\u7b49\u7814\u7a76\u673a\u6784\u5c1d\u8bd5\u4e86\u6700\u7b80\u5316\u5b9e\u73b0\u6d4b\u8bd5\u65f6\u95f4\u6269\u5c55\uff08test-time scaling\uff09\u7684\u65b9\u6cd5\uff0c\u4ec5\u8ba9\u6a21\u578b\u8bad\u7ec3 1000 \u4e2a\u95ee\u9898\u5c31\u83b7\u5f97\u4e86\u8d85\u8d8a o1 \u7684\u5f3a\u63a8\u7406\u6027\u80fd\u3002<\/strong><\/p>\n

\u6d4b\u8bd5\u65f6\u95f4\u6269\u5c55\u662f\u4e00\u79cd\u6709\u524d\u9014\u7684\u8bed\u8a00\u5efa\u6a21\u65b0\u65b9\u6cd5\uff0c\u5b83\u4f7f\u7528\u989d\u5916\u7684\u6d4b\u8bd5\u65f6\u95f4\u8ba1\u7b97\u6765\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u3002\u6b64\u524d\uff0cOpenAI \u7684 o1 \u6a21\u578b\u5c55\u793a\u4e86\u8fd9\u79cd\u80fd\u529b\uff0c\u4f46\u5e76\u672a\u516c\u5f00\u5206\u4eab\u5176\u65b9\u6cd5\u3002\u5f88\u591a\u5de5\u4f5c\u90fd\u5728\u5c1d\u8bd5\u590d\u73b0 o1\uff0c\u8fd9\u4e9b\u5c1d\u8bd5\u5305\u542b\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\u3001\u591a\u667a\u80fd\u4f53\u7b49\u7b49\u3002\u4eca\u5e74 1 \u6708\u5f00\u6e90\u7684 DeepSeek R1 \u6210\u529f\u5b9e\u73b0\u4e86 o1 \u7ea7\u522b\u7684\u6027\u80fd\uff0c\u5b83\u662f\u5728\u6570\u767e\u4e07\u4e2a\u6837\u672c\u4e0a\u901a\u8fc7\u591a\u8bad\u7ec3\u9636\u6bb5\u5f3a\u5316\u5b66\u4e60\u5b9e\u73b0\u7684\u3002<\/p>\n

\u5728 s1 \u7684\u65b0\u5de5\u4f5c\u4e2d\uff0c\u7814\u7a76\u4eba\u5458\u5bfb\u6c42\u6700\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u6d4b\u8bd5\u65f6\u95f4\u6269\u5c55\u3002\u5b83\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u5c0f\u578b\u6570\u636e\u96c6 s1K\uff0c\u5176\u4e2d\u5305\u542b 1000 \u4e2a\u95ee\u9898\uff0c\u5e76\u6839\u636e\u4e09\u4e2a\u6807\u51c6\uff08\u96be\u5ea6\u3001\u591a\u6837\u6027\u548c\u8d28\u91cf\uff09\u4e0e\u63a8\u7406\u8f68\u8ff9\u8fdb\u884c\u914d\u5bf9\u3002<\/p>\n

\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u7814\u7a76\u4eba\u5458\u5f00\u53d1\u4e86\u300c\u9884\u7b97\u5f3a\u5236\u300d\u6765\u63a7\u5236\u6d4b\u8bd5\u65f6\u95f4\u8ba1\u7b97\uff0c\u65b9\u6cd5\u662f\u5f3a\u5236\u7ec8\u6b62\u6a21\u578b\u7684\u601d\u8003\u8fc7\u7a0b\uff0c\u6216\u8005\u5728\u6a21\u578b\u8bd5\u56fe\u7ed3\u675f\u65f6\u591a\u6b21\u5c06\u300c\u7b49\u5f85\u300d\u9644\u52a0\u5230\u6a21\u578b\u7684\u751f\u6210\u4e2d\u4ee5\u5ef6\u957f\u601d\u8003\u3002<\/strong>\u8fd9\u6709\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6a21\u578b\u4ed4\u7ec6\u68c0\u67e5\u5176\u7b54\u6848\uff0c\u4fee\u590d\u5176\u4e0d\u6b63\u786e\u7684\u63a8\u7406\u6b65\u9aa4\u3002<\/p>\n

\u5728 s1K \u4e0a\u5bf9 Qwen2.5-32B-Instruct \u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u76d1\u7763\u5fae\u8c03\uff0816 \u5757 H100 GPU\uff0c26 \u5206\u949f\uff09\u5e76\u4e3a\u5176\u8bbe\u5b9a\u9884\u7b97\u5f3a\u5236\u540e\uff0c\u65b0\u6a21\u578b s1-32B \u5728\u7ade\u8d5b\u6570\u5b66\u95ee\u9898\u4e0a\u7684\u8868\u73b0\u6bd4 o1-preview \u9ad8\u51fa 27%\uff08MATH \u548c AIME24\uff09\u3002<\/p>\n

\"\u56fe\u7247\"<\/p>\n

s1 \u6027\u80fd\u4e0e\u5176\u4ed6\u5927\u6a21\u578b\u7684\u5bf9\u6bd4\u3002<\/p>\n

\"\u56fe\u7247\"<\/p>\n

    \n
  • \u8bba\u6587\uff1a\u300as1: Simple test-time scaling\u300b<\/li>\n
  • \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2501.19393<\/li>\n
  • \u9879\u76ee\u94fe\u63a5\uff1ahttps:\/\/github.com\/simplescaling\/s1<\/li>\n<\/ul>\n

    \u6d4b\u8bd5\u65f6\u95f4\u6269\u5c55<\/h4>\n

    \u672c\u6587\u5c06\u6d4b\u8bd5\u65f6\u95f4\u6269\u5c55\u65b9\u6cd5\u5206\u4e3a\u4e24\u7c7b\uff1a<\/p>\n

      \n
    1. \u5e8f\u5217\u6269\u5c55\uff0c\u5373\u540e\u7eed\u8ba1\u7b97\u4f9d\u8d56\u4e8e\u5148\u524d\u7684\u8ba1\u7b97\u7ed3\u679c\uff1b<\/li>\n
    2. \u5e76\u884c\u6269\u5c55\uff0c\u5373\u8ba1\u7b97\u72ec\u7acb\u8fd0\u884c\u3002<\/li>\n<\/ol>\n

      \u672c\u6587\u4e13\u6ce8\u4e8e\u5e8f\u5217\u6269\u5c55\uff0c\u56e0\u4e3a\u76f4\u89c2\u4e0a\u5176\u5177\u6709\u66f4\u597d\u7684\u6269\u5c55\u6027\uff0c\u56e0\u4e3a\u540e\u7eed\u8ba1\u7b97\u53ef\u4ee5\u57fa\u4e8e\u4e2d\u95f4\u7ed3\u679c\u8fdb\u884c\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u6df1\u5c42\u6b21\u7684\u63a8\u7406\u548c\u8fed\u4ee3\u4f18\u5316\u3002<\/p>\n

      \u6b64\u5916\uff0c\u672c\u6587\u8fd8\u63d0\u51fa\u4e86\u65b0\u7684\u5e8f\u5217\u6269\u5c55\u65b9\u6cd5\u4ee5\u53ca\u5bf9\u5176\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5\u7684\u65b9\u5f0f\u3002<\/p>\n

      \u9884\u7b97\u5f3a\u5236\uff08Budget forcing\uff09\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u7b80\u5355\u7684\u89e3\u7801\u65f6\u95f4\uff08decoding-time \uff09\u5e72\u9884\u65b9\u6cd5\uff0c\u901a\u8fc7\u5728\u6d4b\u8bd5\u65f6\u5f3a\u5236\u8bbe\u5b9a\u6700\u5927\u6216\u6700\u5c0f\u601d\u8003 token \u6570\u91cf\u6765\u5b9e\u73b0\u3002\u56fe 3 \u4e3a\u8be5\u65b9\u6cd5\u7684\u4e00\u4e2a\u793a\u4f8b\u5c55\u793a\uff0c\u8bf4\u660e\u4e86\u8fd9\u79cd\u7b80\u5355\u7684\u65b9\u6cd5\u53ef\u4ee5\u5f15\u5bfc\u6a21\u578b\u5f97\u51fa\u66f4\u597d\u7684\u7b54\u6848\u3002<\/p>\n

      \"\u56fe\u7247\"<\/p>\n

      \u5177\u4f53\u6765\u8bf4\uff0c\u672c\u6587\u901a\u8fc7\u7b80\u5355\u5730\u8ffd\u52a0\u601d\u8003\u7ed3\u675f\uff08end-of-thinking\uff09token \u5206\u9694\u7b26\u548c\u300cFinal Answer:\u300d\u6765\u5f3a\u5236\u8bbe\u5b9a\u6700\u5927 token \u6570\u91cf\uff0c\u4ece\u800c\u63d0\u524d\u9000\u51fa\u601d\u8003\u9636\u6bb5\uff0c\u4f7f\u6a21\u578b\u63d0\u4f9b\u5176\u5f53\u524d\u7684\u6700\u4f73\u7b54\u6848\u3002\u4e3a\u4e86\u5f3a\u5236\u8bbe\u5b9a\u6700\u5c0f token \u6570\u91cf\uff0c\u672c\u6587\u6291\u5236\u601d\u8003\u7ed3\u675f token \u5206\u9694\u7b26\u7684\u751f\u6210\uff0c\u5e76\u9009\u62e9\u6027\u5730\u5728\u6a21\u578b\u7684\u5f53\u524d\u63a8\u7406\u8f68\u8ff9\u540e\u8ffd\u52a0\u5b57\u7b26\u4e32\u300cWait\u300d\uff0c\u4ee5\u9f13\u52b1\u6a21\u578b\u53cd\u601d\u5176\u5f53\u524d\u751f\u6210\u7684\u5185\u5bb9\u3002<\/p>\n

      \u57fa\u7ebf\u3002\u672c\u6587\u7528\u4ee5\u4e0b\u65b9\u6cd5\u5bf9\u9884\u7b97\u5f3a\u5236\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5\uff1a<\/p>\n

      \uff08I\uff09\u6761\u4ef6\u957f\u5ea6\u63a7\u5236\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u4f9d\u8d56\u4e8e\u5728\u63d0\u793a\u4e2d\u544a\u8bc9\u6a21\u578b\u5b83\u5e94\u8be5\u751f\u6210\u591a\u957f\u65f6\u95f4\u3002\u672c\u6587\u6309\u7c92\u5ea6\u5c06\u5b83\u4eec\u5206\u7ec4\u4e3a\uff08a\uff09token \u6761\u4ef6\u63a7\u5236\uff0c\u5728\u63d0\u793a\u4e2d\u6307\u5b9a\u601d\u8003 token \u7684\u4e0a\u9650\uff1b\uff08b\uff09\u6b65\u9aa4\u6761\u4ef6\u63a7\u5236\uff0c\u6307\u5b9a\u601d\u8003\u6b65\u9aa4\u7684\u4e0a\u9650\uff1b\uff08c\uff09\u7c7b\u6761\u4ef6\u63a7\u5236\uff0c\u7f16\u5199\u4e24\u4e2a\u901a\u7528\u63d0\u793a\uff0c\u544a\u8bc9\u6a21\u578b\u601d\u8003\u4e00\u5c0f\u6bb5\u65f6\u95f4\u6216\u5f88\u957f\u4e00\u6bb5\u65f6\u95f4\u3002<\/p>\n

      \uff08II\uff09\u62d2\u7edd\u91c7\u6837\uff0c\u5373\u91c7\u6837\u76f4\u5230\u751f\u6210\u7b26\u5408\u9884\u5b9a\u7684\u8ba1\u7b97\u9884\u7b97\u3002<\/p>\n

      \u5b9e\u9a8c<\/h4>\n

      \u5728\u8bad\u7ec3\u9636\u6bb5\u3002\u672c\u6587\u4f7f\u7528 s1K \u6570\u636e\u96c6\u5bf9 Qwen2.5-32B-Instruct \u8fdb\u884c\u76d1\u7763\u5fae\u8c03\uff0c\u4ee5\u83b7\u5f97\u672c\u6587\u7684\u6a21\u578b s1-32B\u3002\u5fae\u8c03\u662f\u5728 16 \u53f0 NVIDIA H100 GPU \u4e0a\u4f7f\u7528 PyTorch FSDP \u8fdb\u884c\u7684\uff0c\u8017\u65f6 26 \u5206\u949f\u3002<\/p>\n

      \u8bc4\u4f30\u3002\u672c\u6587\u91c7\u7528\u4e86\u4e09\u4e2a\u63a8\u7406\u57fa\u51c6\u8fdb\u884c\u8bc4\u4f30\u3002<\/p>\n

        \n
      • AIME24 \u5305\u542b 30 \u4e2a\u95ee\u9898\uff0c\u8fd9\u4e9b\u95ee\u9898\u6765\u81ea 2024 \u5e74 1 \u6708 31 \u65e5\u81f3 2 \u6708 1 \u65e5\u4e3e\u884c\u7684\u7f8e\u56fd AIME \u6570\u5b66\u7ade\u8d5b\u3002AIME \u7528\u6765\u6d4b\u8bd5\u6a21\u578b\u5728\u7b97\u672f\u3001\u4ee3\u6570\u3001\u8ba1\u6570\u3001\u51e0\u4f55\u3001\u6570\u8bba\u3001\u6982\u7387\u7b49\u9886\u57df\u7684\u80fd\u529b\uff1b<\/li>\n
      • MATH500 \u662f\u4e00\u4e2a\u5305\u542b\u4e0d\u540c\u96be\u5ea6\u7ade\u8d5b\u6570\u5b66\u95ee\u9898\u7684\u57fa\u51c6\uff1b<\/li>\n
      • GPQA Diamond \u5305\u542b 198 \u4e2a\u6765\u81ea\u751f\u7269\u5b66\u3001\u5316\u5b66\u548c\u7269\u7406\u5b66\u7684\u535a\u58eb\u7ea7\u79d1\u5b66\u95ee\u9898\u3002<\/li>\n<\/ul>\n

        \u5176\u4ed6\u6a21\u578b\u3002\u672c\u6587\u5c06 s1-32B \u4e0e\u4ee5\u4e0b\u6a21\u578b\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5\u5bf9\u6bd4\uff1aOpenAI o1 \u95ed\u6e90\u7cfb\u5217\u6a21\u578b\uff1bDeepSeek r1 \u5f00\u6e90\u6a21\u578b\uff1bQwen \u7684 QwQ-32B-preview \u7b49\u6a21\u578b\u3002<\/p>\n

        \u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cs1-32B \u662f\u5b8c\u5168\u5f00\u6e90\u7684\uff0c\u5305\u62ec\u6743\u91cd\u3001\u63a8\u7406\u6570\u636e\u548c\u4ee3\u7801\u3002<\/p>\n

        \u6027\u80fd<\/strong><\/p>\n

        \u6d4b\u8bd5\u65f6\u95f4\u6269\u5c55\u3002\u56fe 1 \u5c55\u793a\u4e86 s1-32B \u5728\u4f7f\u7528\u9884\u7b97\u5f3a\u5236\u6280\u672f\u540e\uff0c\u968f\u7740\u6d4b\u8bd5\u65f6\u95f4\u8ba1\u7b97\u8d44\u6e90\u7684\u589e\u52a0\uff0c\u6027\u80fd\u7684\u53d8\u5316\u60c5\u51b5\u3002<\/p>\n

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        \u56fe 4\uff08\u53f3\uff09\u5c55\u793a\u4e86\u5728\u5bf9 Qwen2.5-32B-Instruct \u8fdb\u884c 1,000 \u4e2a\u6837\u672c\u7684\u8bad\u7ec3\uff0c\u4ece\u800c\u751f\u6210 s1-32B\uff0c\u5e76\u4e3a\u5176\u914d\u5907\u7b80\u5355\u7684\u9884\u7b97\u5f3a\u5236\u6280\u672f\u540e\uff0c\u5b83\u8fdb\u5165\u4e86\u4e00\u79cd\u4e0d\u540c\u7684\u6269\u5c55\u8303\u5f0f\u3002\u901a\u8fc7\u591a\u6570\u6295\u7968\u5728\u57fa\u7840\u6a21\u578b\u4e0a\u6269\u5c55\u6d4b\u8bd5\u65f6\u95f4\u8ba1\u7b97\u8d44\u6e90\u65e0\u6cd5\u8d76\u4e0a s1-32B \u7684\u6027\u80fd\uff0c\u8fd9\u9a8c\u8bc1\u4e86\u8fd9\u4e00\u76f4\u89c9\uff0c\u5373\u5e8f\u5217\u6269\u5c55\u6bd4\u5e76\u884c\u6269\u5c55\u66f4\u6709\u6548\u3002<\/p>\n

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        s1-32B \u5728 AIME24 \u4e0a\u51e0\u4e4e\u4e0e Gemini 2.0 Thinking \u76f8\u5339\u914d\uff0c\u56e0\u4e3a s1-32B \u662f\u4ece Gemini 2.0 \u4e2d\u84b8\u998f\u51fa\u6765\u7684\uff0c\u8fd9\u8868\u660e\u672c\u6587\u7684\u84b8\u998f\u7a0b\u5e8f\u53ef\u80fd\u662f\u6709\u6548\u7684\u3002<\/p>\n

        \"\u56fe\u7247\"<\/p>\n

        \"\u56fe\u7247\"<\/p>\n

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        \u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n<\/div>\n

        <\/div>\n

        <\/g><\/svg><\/i> \"Loading\"<\/p>\n

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        \u6700\u8fd1\u4e00\u6bb5\u65f6\u95f4\uff0c\u5168\u4e16\u754c\u7684\u79d1\u6280\u516c\u53f8\u3001\u7814\u7a76\u56e2\u961f\u90fd\u5728\u5c1d\u8bd5\u590d\u73b0 DeepSeek\uff0c\u4f46\u5982\u679c\u8fd9\u4e2a\u65f6\u5019\u6709\u4eba\u8bf4\u300c\u6211\u8fd8\u80fd\u5927\u5e45\u6539\u8fdb […]<\/p>\n

        <\/div>\n

        <\/g><\/svg><\/i> \"Loading\"<\/p>\n

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