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\u5c0f\u7c73\u516c\u5e03\u5f00\u6e90AI\u63a8\u7406\u5927\u6a21\u578bMiMo\uff01<\/h2>\n

\u5c0f\u7c73\u4eca\u5929\u7a81\u7136\u516c\u5e03\u4e86\u81ea\u5df1\u7684 AI \u63a8\u7406\u5927\u6a21\u578b\uff01<\/p>\n

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MiMo\uff08\u5168\u79f0 Xiaomi Modular Inference-only Model\uff09\u662f\u4e00\u6b3e\u4e13\u6ce8\u4e8e\u63a8\u7406\u4efb\u52a1\u7684\u8f7b\u91cf\u7ea7\u4eba\u5de5\u667a\u80fd\u6a21\u578b\uff0c\u5177\u5907\u9ad8\u5ea6\u6a21\u5757\u5316\u8bbe\u8ba1\uff0c\u9002\u7528\u4e8e\u591a\u573a\u666f\u90e8\u7f72\uff0c\u5305\u62ec\u8fb9\u7f18\u8ba1\u7b97\u3001\u79fb\u52a8\u7ec8\u7aef\u4ee5\u53ca\u5d4c\u5165\u5f0f\u8bbe\u5907\u3002<\/p>\n

\u76f8\u6bd4\u73b0\u6709\u89e3\u51b3\u65b9\u6848\uff0cMiMo\u5728\u4fdd\u6301\u9ad8\u6027\u80fd\u7684\u540c\u65f6\u663e\u8457\u964d\u4f4e\u4e86\u8ba1\u7b97\u8d44\u6e90\u6d88\u8017\uff0c\u63d0\u5347\u4e86\u63a8\u7406\u6548\u7387\uff0c\u5c24\u5176\u9002\u5408\u5bf9\u54cd\u5e94\u901f\u5ea6\u548c\u80fd\u6548\u6bd4\u6709\u8f83\u9ad8\u8981\u6c42\u7684\u5e94\u7528\u573a\u666f\u3002<\/p>\n

\u5728\u6570\u5b66\u63a8\u7406\u548c\u7f16\u7a0b\u7ade\u8d5b\u7b49\u5173\u952e\u6d4b\u8bd5\u4e2d\u5c55\u73b0\u51fa\u4e86\u60ca\u4eba\u7684\u6027\u80fd\u8868\u73b0\u3002<\/p>\n

\"\u5c0f\u7c73\u516c\u5e03\u5f00\u6e90AI\u63a8\u7406\u5927\u6a21\u578bMiMo\"<\/p>\n

\u636e\u5b98\u65b9\u4ecb\u7ecd\uff0cXiaomi MiMo \u5728 AIME 24-25 \u6570\u5b66\u63a8\u7406\u6570\u636e\u96c6\u4e0e LiveCodeBench v5 \u7f16\u7a0b\u7ade\u8d5b\u6d4b\u8bd5\u96c6\u4e0a\u7684\u8868\u73b0\uff0c\u8d85\u8d8a\u4e86 OpenAI \u7684\u95ed\u6e90\u63a8\u7406\u6a21\u578b o1-mini\uff0c\u4ee5\u53ca\u963f\u91cc\u5df4\u5df4\u65d7\u4e0b\u5f00\u6e90\u6a21\u578b QwQ-32B-Preview\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cMiMo \u4ec5\u4f7f\u7528\u4e86 70 \u4ebf\u53c2\u6570\u7684\u6a21\u578b\u89c4\u6a21\uff0c\u5c31\u5728\u8fd9\u4e9b\u9ad8\u96be\u5ea6\u4efb\u52a1\u4e2d\u5b9e\u73b0\u4e86\u9886\u5148\u3002<\/p>\n

\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u4e00\u7a81\u7834\uff0cMiMo \u7684\u80fd\u529b\u63d0\u5347\u4e3b\u8981\u6765\u6e90\u4e8e\u9884\u8bad\u7ec3\u548c\u540e\u8bad\u7ec3\u9636\u6bb5\u7684\u4e00\u7cfb\u5217\u521b\u65b0\uff0c\u6db5\u76d6\u6570\u636e\u6784\u5efa\u3001\u8bad\u7ec3\u7b56\u7565\u3001\u7b97\u6cd5\u4f18\u5316\u548c\u7cfb\u7edf\u6846\u67b6\u7b49\u591a\u4e2a\u65b9\u9762\u3002<\/p>\n

\u5728\u9884\u8bad\u7ec3\u9636\u6bb5\uff0c\u6838\u5fc3\u76ee\u6807\u662f\u8ba9\u6a21\u578b\u63a5\u89e6\u5230\u66f4\u4e30\u5bcc\u7684\u63a8\u7406\u6a21\u5f0f\u3002\u4e3a\u6b64\uff0c\u7814\u7a76\u4eba\u5458\u7279\u522b\u6ce8\u91cd\u6316\u6398\u5177\u6709\u9ad8\u5ea6\u63a8\u7406\u4ef7\u503c\u7684\u6570\u636e\uff0c\u5e76\u901a\u8fc7\u5408\u6210\u7684\u65b9\u5f0f\u751f\u6210\u4e86\u5927\u7ea6 2000 \u4ebf token \u7684\u63a8\u7406\u76f8\u5173\u8bed\u6599\u3002\u6b64\u5916\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u91c7\u7528\u4e86\u4e09\u9636\u6bb5\u9010\u6b65\u9012\u589e\u5f3a\u5ea6\u7684\u8bfe\u7a0b\u5b66\u4e60\u7b56\u7565\uff0c\u5e2e\u52a9\u6a21\u578b\u7531\u6d45\u5165\u6df1\u5730\u638c\u63e1\u590d\u6742\u7684\u63a8\u7406\u903b\u8f91\u3002\u6574\u4e2a\u9884\u8bad\u7ec3\u8fc7\u7a0b\u7d2f\u8ba1\u5904\u7406\u4e86\u9ad8\u8fbe 25T tokens \u7684\u6570\u636e\u91cf\u3002<\/p>\n

\"\"<\/p>\n

\u800c\u5728\u540e\u8bad\u7ec3\u9636\u6bb5\uff0c\u5219\u91cd\u70b9\u5728\u4e8e\u5f00\u53d1\u9ad8\u6548\u4e14\u7a33\u5b9a\u7684\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\u548c\u914d\u5957\u7cfb\u7edf\u6846\u67b6\u3002\u4e3a\u4e86\u89e3\u51b3\u590d\u6742\u95ee\u9898\u4e2d\u5956\u52b1\u4fe1\u53f7\u7a00\u758f\u7684\u95ee\u9898\uff0c\u5c0f\u7c73\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3a \u201cTest Difficulty Driven Reward\u201d \u7684\u65b0\u7b97\u6cd5\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5f15\u5bfc\u6a21\u578b\u5b66\u4e60\u89e3\u51b3\u56f0\u96be\u4efb\u52a1\u7684\u80fd\u529b\u3002\u540c\u65f6\u5f15\u5165\u4e86 \u201cEasy Data Re-Sampling\u201d \u7b56\u7565\uff0c\u4ee5\u63d0\u9ad8\u8bad\u7ec3\u8fc7\u7a0b\u7684\u7a33\u5b9a\u6027\u3002<\/p>\n

\u5728\u7cfb\u7edf\u5c42\u9762\uff0c\u7814\u7a76\u56e2\u961f\u8fd8\u4e13\u95e8\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u9ad8\u6548\u7684\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u7cfb\u7edf \u2014\u2014 Seamless Rollout\uff0c\u8be5\u7cfb\u7edf\u663e\u8457\u63d0\u5347\u4e86\u8bad\u7ec3\u548c\u9a8c\u8bc1\u7684\u6548\u7387\uff0c\u4f7f\u5f97 RL \u8bad\u7ec3\u901f\u5ea6\u63d0\u5347\u4e86 2.29 \u500d\uff0c\u9a8c\u8bc1\u9636\u6bb5\u4e5f\u52a0\u5feb\u4e86 1.96 \u500d\u3002<\/p>\n

\u5c0f\u7c73\u96c6\u56e2\u6280\u672f\u8d1f\u8d23\u4eba\u8868\u793a\uff1a\u201cMiMo\u7684\u53d1\u5e03\u4e0d\u4ec5\u662f\u5c0f\u7c73\u6280\u672f\u521b\u65b0\u5b9e\u529b\u7684\u4f53\u73b0\uff0c\u66f4\u662f\u6211\u4eec\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\u666e\u53ca\u4e0e\u843d\u5730\u7684\u91cd\u8981\u4e3e\u63aa\u3002\u901a\u8fc7\u5f00\u6e90\uff0c\u6211\u4eec\u5e0c\u671b\u4e0e\u5168\u7403\u5f00\u53d1\u8005\u5171\u540c\u63a2\u7d22AI\u5e94\u7528\u7684\u8fb9\u754c\uff0c\u52a0\u901f\u4ea7\u4e1a\u667a\u80fd\u5316\u8fdb\u7a0b\u3002\u201d<\/p>\n

\"\u5c0f\u7c73\u516c\u5e03\u5f00\u6e90AI\u63a8\u7406\u5927\u6a21\u578bMiMo\"<\/p>\n

\u6b64\u6b21\u5f00\u6e90\u8ba1\u5212\u5728GitHub\u7b49\u5e73\u53f0\u4e0a\u540c\u6b65\u4e0a\u7ebf\uff0c\u5e76\u914d\u5957\u63d0\u4f9b\u8be6\u7ec6\u7684\u6587\u6863\u3001\u793a\u4f8b\u4ee3\u7801\u53ca\u793e\u533a\u652f\u6301\uff0c\u52a9\u529b\u5f00\u53d1\u8005\u5feb\u901f\u4e0a\u624b\u5e76\u8fdb\u884c\u4e2a\u6027\u5316\u5b9a\u5236\u3002<\/p>\n

\u6b64\u5916\uff0c\u5c0f\u7c73\u8fd8\u8ba1\u5212\u5728\u672a\u6765\u51e0\u4e2a\u6708\u5185\u63a8\u51fa\u57fa\u4e8eMiMo\u7684\u5f00\u53d1\u7ade\u8d5b\u548c\u6280\u672f\u6c99\u9f99\uff0c\u8fdb\u4e00\u6b65\u6fc0\u53d1\u521b\u65b0\u6d3b\u529b\u3002<\/p>\n

\u5c0f\u7c73\u662f\u4e00\u5bb6\u5de8\u578b\u6d88\u8d39\u8005\u79d1\u6280\u4f01\u4e1a\uff0c\u65d7\u4e0b\u4e1a\u52a1\u975e\u5e38\u591a\uff0c \u4ee5\u540e MiMo \u5982\u679c\u6210\u529f\uff0c\u5c06\u53ef\u8ba9\u5b83\u65d7\u4e0b\u4ea7\u54c1\u4e0d\u518d\u4f9d\u8d56\u5176\u4ed6\u5927\u6a21\u578b\uff0c\u8fbe\u5230\u7701\u94b1\uff0c\u7701\u8d44\u6e90\u4ee5\u53ca\u66f4\u52a0\u9ad8\u5ea6\u7edf\u5408\u7684\u751f\u6001\u3002<\/p>\n

\u66f4\u591a\u6d88\u606f\u8bf7\u5b88\u4f4f Mdroid<\/a>\u3002<\/p>\n

\u6765\u6e90\uff1aGitHub<\/a> , Tech in Asia<\/a><\/p>\n

 <\/p>\n

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

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