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\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u5728\u300c\u6700\u96beLLM\u8bc4\u6d4b\u699c\u5355\u300d\u4e0a\uff0c\u9636\u8dc3\u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u62ff\u4e0b\u4e2d\u56fd\u7b2c\u4e00<\/a><\/p>\n

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\u521a\u521a\uff0c\u56fd\u5185 AI \u9886\u57df\u4f20\u6765\u4e00\u5219\u91cd\u8981\u6d88\u606f\u3002<\/section>\n
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\u5934\u90e8\u5927\u6a21\u578b\u521b\u4e1a\u516c\u53f8\u9636\u8dc3\u661f\u8fb0\uff0c\u51ed\u501f\u4e07\u4ebf\u53c2\u6570\u5927\u8bed\u8a00\u6a21\u578b Step-2\uff0c\u5728\u4e1a\u5185\u6743\u5a01\u5927\u6a21\u578b\u57fa\u51c6 LiveBench AI \u4e0a\u83b7\u5f97\u4e86\u7b2c\u4e94\u540d\u7684\u597d\u6210\u7ee9\uff0c\u6210\u4e3a\u4e86\u524d\u5341\u540d\u4e4b\u5185\u552f\u4e00\u7684\u56fd\u4ea7\u5927\u6a21\u578b\u3002<\/strong><\/section>\n
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\u6392\u5728\u9636\u8dc3\u661f\u8fb0 Step-2 \u8eab\u524d\u7684\uff0c\u53ea\u5269\u4e0b OpenAI \u548c Anthropic \u4e24\u5bb6\u516c\u53f8\u3002<\/section>\n
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\u699c\u5355\u5730\u5740\uff1ahttps:\/\/livebench.ai\/#<\/section>\n
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LiveBench \u662f\u5f53\u524d\u751f\u6210\u5f0f AI \u9886\u57df\u6700\u6743\u5a01\u3001\u5ba2\u89c2\u7684\u6a21\u578b\u80fd\u529b\u8bc4\u6d4b\u699c\u5355\u4e4b\u4e00\u3002\u5b83\u662f\u7531\u56fe\u7075\u5956\u5f97\u4e3b\u3001Meta \u9996\u5e2d AI \u79d1\u5b66\u5bb6 Yann LeCun \u8054\u5408 Abacus.AI\u3001\u7ebd\u7ea6\u5927\u5b66\u7b49\u673a\u6784\u63a8\u51fa\u7684\uff0c\u4eca\u5e74\u516d\u6708\u624d\u9996\u6b21\u4e0a\u7ebf\u3002<\/section>\n
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\u5b83\u65e8\u5728\u6d88\u9664\u73b0\u6709 LLM \u57fa\u51c6\u7684\u5c40\u9650\u6027\uff0c\u88ab\u79f0\u4f5c\u662f\u300c\u4e16\u754c\u4e0a\u7b2c\u4e00\u4e2a\u65e0\u6cd5\u88ab\u64cd\u7eb5\u7684\u5927\u8bed\u8a00\u6a21\u578b\u57fa\u51c6\u6d4b\u8bd5\u300d\u3002<\/strong><\/section>\n
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LiveBench \u63d0\u51fa\u4e86\u4e00\u79cd\u521b\u65b0\u7684\u57fa\u51c6\u6d4b\u8bd5\u65b9\u6cd5\uff0c\u5176\u4e2d\u5305\u542b 6 \u5927\u7c7b 18 \u9879\u4efb\u52a1\u3002<\/section>\n
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\u4e3a\u4e86\u907f\u514d\u5927\u6a21\u578b\u300c\u4f5c\u5f0a\u300d\uff0cLiveBench \u6bcf\u6708\u53d1\u5e03\u65b0\u95ee\u9898\uff0c\u5e76\u6839\u636e\u6700\u8fd1\u53d1\u5e03\u7684\u6570\u636e\u96c6\u3001arXiv \u8bba\u6587\u3001\u65b0\u95fb\u6587\u7ae0\u548c IMDb \u7535\u5f71\u7b80\u4ecb\u8bbe\u8ba1\u95ee\u9898\uff0c\u4ee5\u9650\u5236\u6f5c\u5728\u7684\u6570\u636e\u6c61\u67d3\u3002\u6bcf\u4e2a\u95ee\u9898\u90fd\u6709\u53ef\u9a8c\u8bc1\u7684\u3001\u5ba2\u89c2\u7684\u57fa\u672c\u771f\u5b9e\u7b54\u6848\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u5728\u4e0d\u4f7f\u7528 LLM \u8bc4\u5ba1\u5458\u7684\u60c5\u51b5\u4e0b\uff0c\u5bf9\u96be\u9898\u8fdb\u884c\u51c6\u786e\u7684\u81ea\u52a8\u8bc4\u5206\u3002<\/section>\n
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\u901a\u8fc7\u5b9a\u671f\u66f4\u65b0\u7684\u95ee\u9898\u96c6\u548c\u5ba2\u89c2\u7684\u81ea\u52a8\u5316\u8bc4\u5206\u65b9\u6cd5\uff0cLiveBench \u63d0\u4f9b\u4e86\u4e00\u4e2a\u516c\u5e73\u3001\u51c6\u786e\u7684\u8bc4\u4f30\u5e73\u53f0\uff0c\u8fd8\u540c\u65f6\u63a8\u52a8\u4e86 LLM \u7684\u6301\u7eed\u6539\u8fdb\u548c\u793e\u533a\u53c2\u4e0e\u3002<\/section>\n
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\u6b64\u6b21\u6740\u5165\u699c\u5355\u524d\u5341\u7684 step-2-16k-202411 \u6a21\u578b\u7684\u300cGlobal Average\u300d\u5f97\u5206\u4f4d\u5217\u7b2c\u4e94\uff0c\u5df2\u7ecf\u975e\u5e38\u63a5\u8fd1\u7b2c\u4e09\u540d\u548c\u7b2c\u56db\u540d\u7684 claude-3-5-sonnet-20240620 \u548c o1-mini-2024-09-12\u3002<\/section>\n
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\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u5728\u8fd9\u6b21\u63d0\u4ea4\u7684\u6210\u7ee9\u4e2d\uff0cStep-2 \u7684\u6307\u4ee4\u8ddf\u968f\uff08IF Average\uff09\u5f97\u5206\u5168\u699c\u6392\u540d\u7b2c\u4e00\uff0c\u5c55\u793a\u4e86\u5bf9\u8bed\u8a00\u751f\u6210\u7ec6\u8282\u7684\u5f3a\u5927\u63a7\u5236\u529b\u3002<\/strong>\u5177\u4f53\u6765\u8bf4\uff0c\u8be5\u4efb\u52a1\u662f\u5bf9\u300a\u536b\u62a5\u300b\u6700\u8fd1\u7684\u65b0\u6587\u7ae0\u8fdb\u884c\u8f6c\u8ff0\u3001\u7b80\u5316\u3001\u6982\u62ec\u6216\u7f16\u5199\u6545\u4e8b\uff0c\u4f46\u987b\u9075\u5b88\u4e00\u9879\u6216\u591a\u9879\u6307\u4ee4\uff0c\u4f8b\u5982\u5b57\u6570\u9650\u5236\u6216\u5728\u7b54\u8fa9\u4e2d\u7eb3\u5165\u7279\u5b9a\u5143\u7d20\u3002<\/section>\n
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\u4e0d\u65ad\u8fdb\u5316\u7684 Step-2 \u4e07\u4ebf\u53c2\u6570\u5927\u6a21\u578b<\/strong><\/section>\n
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\u81ea\u4ece\u6700\u521d\u7684\u9884\u89c8\u7248\u53d1\u5e03\u4ee5\u6765\uff0cStep-2 \u4e00\u76f4\u5728\u7ecf\u5386\u5feb\u901f\u7684\u6280\u672f\u8fed\u4ee3\uff0c\u8fc5\u901f\u7f29\u77ed\u4e0e\u56fd\u9645\u6700\u9876\u7ea7\u5927\u6a21\u578b\u7684\u5dee\u8ddd\u3002<\/section>\n
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\u4eca\u5e74 3 \u6708\uff0c\u9636\u8dc3\u661f\u8fb0\u53d1\u5e03\u4e86 Step-2 \u8bed\u8a00\u5927\u6a21\u578b\u9884\u89c8\u7248\uff0c\u8fd9\u662f\u56fd\u5185\u9996\u4e2a\u7531\u521b\u4e1a\u516c\u53f8\u53d1\u5e03\u7684\u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u3002WAIC 2024 \u671f\u95f4\uff0c\u9636\u8dc3\u661f\u8fb0\u53d1\u5e03\u4e86 Step-2 \u4e07\u4ebf\u53c2\u6570\u8bed\u8a00\u5927\u6a21\u578b\u6b63\u5f0f\u7248\uff0c\u5728\u6570\u7406\u903b\u8f91\u3001\u7f16\u7a0b\u3001\u4e2d\u6587\u77e5\u8bc6\u3001\u82f1\u6587\u77e5\u8bc6\u3001\u6307\u4ee4\u8ddf\u968f\u7b49\u65b9\u9762\u7684\u4f53\u611f\u90fd\u975e\u5e38\u63a5\u8fd1\u5168\u7403\u9876\u5c16\u6a21\u578b\u3002<\/section>\n
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\u7ec6\u770b\u4e0b\u6765\uff0cStep-2 \u4e07\u4ebf\u53c2\u6570\u8bed\u8a00\u5927\u6a21\u578b\u6709\u4e24\u5927\u4eae\u70b9\uff1a\u91c7\u7528 MoE \u67b6\u6784\uff0c\u4e07\u4ebf\u53c2\u6570\u3002<\/section>\n
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\u8bad\u7ec3 MoE \u6a21\u578b\u4e3b\u8981\u6709\u4e24\u79cd\u65b9\u5f0f\uff1a\u57fa\u4e8e\u5df2\u6709\u6a21\u578b\u901a\u8fc7 upcycle\uff08\u5411\u4e0a\u590d\u7528\uff09\u5f00\u59cb\u8bad\u7ec3\uff0c\u6216\u8005\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\u3002upcycle \u65b9\u5f0f\u5bf9\u7b97\u529b\u7684\u9700\u6c42\u4f4e\u3001\u8bad\u7ec3\u6548\u7387\u9ad8\uff0c\u4f46\u4e0a\u9650\u4f4e\uff08\u6bd4\u5982\u57fa\u4e8e\u62f7\u8d1d\u590d\u5236\u5f97\u5230\u7684 MoE \u6a21\u578b\u5bb9\u6613\u9020\u6210\u4e13\u5bb6\u540c\u8d28\u5316\u4e25\u91cd\uff09\u3002\u5982\u679c\u9009\u62e9\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3 MoE \u6a21\u578b\uff0c\u867d\u7136\u8bad\u7ec3\u96be\u5ea6\u9ad8\uff0c\u4f46\u80fd\u83b7\u5f97\u66f4\u9ad8\u7684\u6a21\u578b\u4e0a\u9650\u3002<\/section>\n
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\u9636\u8dc3\u661f\u8fb0\u56e2\u961f\u5728\u8bbe\u8ba1 Step-2 MoE \u67b6\u6784\u65f6\u9009\u62e9\u5b8c\u5168\u81ea\u4e3b\u7814\u53d1\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\uff0c\u901a\u8fc7\u90e8\u5206\u4e13\u5bb6\u5171\u4eab\u53c2\u6570\u3001\u5f02\u6784\u5316\u4e13\u5bb6\u8bbe\u8ba1\u7b49\u521b\u65b0 MoE \u67b6\u6784\u8bbe\u8ba1\uff0c\u8ba9 Step-2 \u4e2d\u7684\u6bcf\u4e2a\u300c\u4e13\u5bb6\u6a21\u578b\u300d\u90fd\u5f97\u5230\u5145\u5206\u8bad\u7ec3\uff0c\u4e0d\u4ec5\u603b\u53c2\u6570\u91cf\u8fbe\u5230\u4e86\u4e07\u4ebf\u7ea7\u522b\uff0c\u6bcf\u6b21\u8bad\u7ec3\u6216\u63a8\u7406\u6240\u6fc0\u6d3b\u7684\u53c2\u6570\u91cf\u4e5f\u8d85\u8fc7\u4e86\u5e02\u9762\u4e0a\u7684\u5927\u90e8\u5206 Dense \u6a21\u578b\u3002<\/section>\n
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\u6b64\u5916\uff0c\u4ece\u5934\u8bad\u7ec3\u8fd9\u6837\u4e00\u4e2a\u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u5bf9\u4e8e\u7cfb\u7edf\u56e2\u961f\u662f\u5f88\u5927\u7684\u8003\u9a8c\u3002\u5728 Step-2 \u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u9636\u8dc3\u661f\u8fb0\u7cfb\u7edf\u56e2\u961f\u7a81\u7834\u4e86 6D \u5e76\u884c\u3001\u6781\u81f4\u663e\u5b58\u7ba1\u7406\u3001\u5b8c\u5168\u81ea\u52a8\u5316\u8fd0\u7ef4\u7b49\u5173\u952e\u6280\u672f\uff0c\u6210\u529f\u5b8c\u6210\u4e86 Step-2 \u7684\u6bcf\u4e00\u6b21\u5347\u7ea7\u3002<\/section>\n
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\u57fa\u4e8e Scaling Law\uff0c\u5728\u6a21\u578b\u53c2\u6570\u8fbe\u5230\u4e07\u4ebf\u89c4\u6a21\u4e4b\u540e\uff0c\u6570\u5b66\u3001\u7f16\u7a0b\u7b49\u6d89\u53ca\u63a8\u7406\u7684\u80fd\u529b\u90fd\u4f1a\u663e\u8457\u63d0\u5347\u3002\u8fd9\u4e5f\u6700\u7ec8\u63a8\u52a8\u4e86 Step-2 \u4eca\u5929\u80fd\u591f\u53d6\u5f97\u5ab2\u7f8e OpenAI o1\u3001Claude 3.5 Sonnet \u7b49\u6a21\u578b\u7684\u597d\u6210\u7ee9\u3002<\/section>\n
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\u4e0d\u65ad\u8fdb\u5316\u7684 Step-2 \u4e07\u4ebf\u53c2\u6570\u8bed\u8a00\u5927\u6a21\u578b\uff0c\u5df2\u7ecf\u63a5\u5165\u4e86\u9636\u8dc3\u661f\u8fb0 C \u7aef\u667a\u80fd\u52a9\u624b\u300c\u8dc3\u95ee\u300d\uff0c\u5728\u8dc3\u95ee App \u548c\u8dc3\u95ee\u7f51\u9875\u7aef\uff08https:\/\/yuewen.cn\uff09\u90fd\u53ef\u4ee5\u4f7f\u7528\u3002<\/section>\n
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\u9636\u8dc3\u661f\u8fb0\u7684\u5927\u6a21\u578b\u77e9\u9635\u6253\u9020\u4e4b\u8def<\/strong><\/section>\n
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\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u9636\u8dc3\u661f\u8fb0\u521b\u59cb\u4eba\u3001CEO \u59dc\u5927\u6615\uff0c\u66fe\u4efb\u804c\u5fae\u8f6f\u5168\u7403\u526f\u603b\u88c1\u3001\u5fae\u8f6f\u4e9a\u6d32\u4e92\u8054\u7f51\u5de5\u7a0b\u9662\u9996\u5e2d\u79d1\u5b66\u5bb6\u3002<\/sup><\/em><\/section>\n
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\u4f46\u8fd9\u5bb6\u516c\u53f8\u5374\u5728\u77ed\u77ed\u51e0\u4e2a\u6708\u65f6\u95f4\u7ad9\u7a33\u4e86\u56fd\u5185 AI \u521b\u4e1a\u516c\u53f8\u7684\u7b2c\u4e00\u68af\u961f\uff0c\u5e76\u5728\u4e00\u5e74\u5185\u5feb\u901f\u53d1\u5e03\u4e86\u5305\u62ec\u4e07\u4ebf MoE \u8bed\u8a00\u5927\u6a21\u578b Step-2\u3001\u591a\u6a21\u6001\u7406\u89e3\u5927\u6a21\u578b Step-1.5V\u3001\u56fe\u50cf\u751f\u6210\u6a21\u578b Step-1X \u5728\u5185\u7684 Step \u7cfb\u5217\u6a21\u578b \u201c\u5168\u5bb6\u6876\u201d\u3002<\/section>\n
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\u4ece AGI \u6280\u672f\u8def\u7ebf\u4e0a\u770b\uff0c\u9636\u8dc3\u661f\u8fb0\u7684\u9009\u62e9\u662f\uff1a\u5355\u6a21\u6001 – \u591a\u6a21\u6001 – \u7edf\u4e00\u591a\u6a21\u6001\u7406\u89e3\u548c\u751f\u6210 – \u4e16\u754c\u6a21\u578b – \u901a\u7528\u4eba\u5de5\u667a\u80fd\uff08AGI\uff09\u3002<\/section>\n
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