{"id":654,"date":"2026-07-04T15:39:04","date_gmt":"2026-07-04T07:39:04","guid":{"rendered":"http:\/\/www.longxiapro.com\/?p=654"},"modified":"2026-07-04T15:39:04","modified_gmt":"2026-07-04T07:39:04","slug":"damoxingceshishisuofangnengligongchengluodenemojiqunxunlianzhonggous1fanshiqwen25-32bmoxingshijian","status":"publish","type":"post","link":"https:\/\/www.longxiapro.com\/index.php\/654\/","title":{"rendered":"\u5927\u6a21\u578b\u6d4b\u8bd5\u65f6\u7f29\u653e\u80fd\u529b\u5de5\u7a0b\u843d\u5730\uff1aNeMo\u96c6\u7fa4\u8bad\u7ec3\u91cd\u6784S1\u8303\u5f0fQwen2.5-32B\u6a21\u578b\u5b9e\u8df5"},"content":{"rendered":"\n

\u5f53\u524d\u5927\u6a21\u578b\u5fae\u8c03\u666e\u904d\u5b58\u5728\u7b97\u529b\u8d44\u6e90\u6d6a\u8d39\u3001\u5197\u4f59\u6570\u636e\u96c6\u62d6\u7d2f\u6a21\u578b\u6548\u679c\u3001\u591a\u8282\u70b9\u96c6\u7fa4\u8bad\u7ec3\u8c03\u5ea6\u56f0\u96be\u4e09\u5927\u75db\u70b9\u3002\u672c\u6587\u57fa\u4e8eS1\u6d4b\u8bd5\u65f6\u7f29\u653e\u6838\u5fc3\u7406\u8bba\uff0c\u642d\u5efa\u6807\u51c6\u5316AI\u5de5\u7a0b\u843d\u5730\u6d41\u7a0b\uff1a\u4f9d\u6258NVIDIA NeMo\u6846\u67b6\u5b8c\u6210\u53cc\u8282\u70b9H100 GPU\u96c6\u7fa4\u5206\u5e03\u5f0f\u76d1\u7763\u5fae\u8c03\uff0c\u91c7\u7528\u4ec51000\u6761\u9ad8\u7eaf\u5ea6s1K\u63a8\u7406\u6570\u636e\u96c6\uff0c\u5bf9Qwen2.5-32B-Instruct\u57fa\u5ea7\u5927\u6a21\u578b\u8fdb\u884c\u63a8\u7406\u80fd\u529b\u5b9a\u5411\u4f18\u5316\u3002\u672c\u6587\u5b8c\u6574\u8fd8\u539f\u6570\u636e\u96c6\u7b5b\u9009\u903b\u8f91\u3001NeMo\u6846\u67b6\u5e76\u884c\u8bad\u7ec3\u5e95\u5c42\u539f\u7406\u3001\u81ea\u5b9a\u4e49\u6a21\u578b\u9002\u914d\u6539\u9020\u6d41\u7a0b\uff0c\u8f93\u51fa\u53ef\u76f4\u63a5\u590d\u523b\u7684\u4f01\u4e1a\/\u79d1\u7814\u7ea7AI\u843d\u5730\u5b9e\u65bd\u65b9\u6848<\/strong>\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5c0f\u6837\u672c\u9ad8\u8d28\u91cfSFT\u5fae\u8c03\u53ef\u7a33\u5b9a\u63d0\u534732B\u53c2\u6570\u7ea7\u522b\u5f00\u6e90\u5927\u6a21\u578b\u901a\u7528\u63a8\u7406\u80fd\u529b\uff0cMMLU\u57fa\u51c6\u51c6\u786e\u7387\u63d0\u53471.31%\uff1b\u540c\u65f6\u9a8c\u8bc1NeMo 2.0\u6846\u67b6\u5728\u591a\u5f02\u6784GPU\u96c6\u7fa4\u3001\u5927\u53c2\u6570\u6a21\u578b\u5fae\u8c03\u573a\u666f\u4e0b\u7684\u5de5\u7a0b\u843d\u5730\u9002\u914d\u6027\uff0c\u4e3a\u884c\u4e1a\u4f4e\u6210\u672c\u843d\u5730\u5b9a\u5236\u5316LLM\u63d0\u4f9b\u6807\u51c6\u5316\u5b9e\u64cd\u8303\u672c\u3002<\/p>\n\n\n\n

\u5168\u6587\u5927\u7eb2<\/h3>\n\n\n\n
    \n
  1. \u7814\u7a76\u5f15\u8a00\uff1aAI\u5927\u6a21\u578b\u5fae\u8c03\u884c\u4e1a\u73b0\u72b6\u4e0e\u5b9e\u9a8c\u52a8\u673a<\/li>\n\n\n\n
  2. AI\u6570\u636e\u96c6\u5de5\u7a0b\u843d\u5730\uff1as1K\u5c0f\u6837\u672c\u63a8\u7406\u6570\u636e\u96c6\u6784\u5efa\u4e0e\u591a\u7ea7\u7b5b\u9009\u6807\u51c6<\/li>\n\n\n\n
  3. \u5e95\u5c42\u6280\u672f\u539f\u7406\uff1aNVIDIA NeMo\u6846\u67b6\u591a\u8282\u70b9\u5206\u5e03\u5f0f\u8bad\u7ec3\u6838\u5fc3\u6280\u672f\u7980\u8d4b<\/li>\n\n\n\n
  4. \u6807\u51c6\u5316AI\u843d\u5730\u5b9e\u65bd\u65b9\u6848\uff08\u6838\u5fc3\u65b0\u589e\uff09\uff1aQwen2.5-32B\u591a\u8282\u70b9\u5fae\u8c03\u5168\u6d41\u7a0b\u843d\u5730\u6b65\u9aa4\u3001\u73af\u5883\u914d\u7f6e\u3001\u4ee3\u7801\u811a\u672c\u3001\u96c6\u7fa4\u8c03\u5ea6\u89c4\u8303<\/li>\n\n\n\n
  5. \u5b9e\u9a8c\u7ed3\u679c\u5206\u6790\uff1a\u591a\u786c\u4ef6\u96c6\u7fa4\u4e0b\u6a21\u578b\u6027\u80fd\u5bf9\u6bd4\u3001\u6d88\u878d\u5b9e\u9a8c\u7ed3\u8bba<\/li>\n\n\n\n
  6. \u884c\u4e1a\u843d\u5730\u7ed3\u8bba\u4e0e\u65b9\u6848\u9002\u7528\u573a\u666f<\/li>\n\n\n\n
  7. \u6280\u672f\u540e\u8bb0\uff1aNeMo 2.0\u8fed\u4ee3\u81f3Megatron Bridge\u67b6\u6784\u7684AI\u5de5\u7a0b\u751f\u6001\u5347\u7ea7<\/li>\n\n\n\n
  8. \u65b9\u6848\u843d\u5730\u98ce\u9669\u4e0e\u4f18\u5316\u8fed\u4ee3\u5efa\u8bae<\/li>\n<\/ol>\n\n\n\n

    1. \u7814\u7a76\u5f15\u8a00<\/h3>\n\n\n\n

    \u968f\u7740\u5f00\u6e90\u57fa\u5ea7\u5927\u6a21\u578b\u80fd\u529b\u65e5\u8d8b\u6210\u719f\uff0c\u884c\u4e1aAI\u5de5\u7a0b\u843d\u5730\u903b\u8f91\u53d1\u751f\u6838\u5fc3\u8f6c\u53d8\uff1a\u6a21\u578b\u57fa\u5ea7\u901a\u7528\u80fd\u529b\u5df2\u8fbe\u5230\u751f\u4ea7\u53ef\u7528\u6807\u51c6\uff0c\u6570\u636e\u8d28\u91cf\u3001\u8bad\u7ec3\u8c03\u5ea6\u67b6\u6784\u8fdc\u6bd4\u6570\u636e\u4f53\u91cf\u3001\u7b97\u529b\u89c4\u6a21\u66f4\u51b3\u5b9a\u5b9a\u5236\u5316\u6a21\u578b\u6700\u7ec8\u6548\u679c<\/strong>\u30022025\u5e74\u521d\uff0c\u65af\u5766\u798f\u674e\u98de\u98de\u56e2\u961f\u53d1\u5e03S1\uff08A Simple test-time scaling\uff09\u57fa\u7840\u7814\u7a76\u6210\u679c\uff0c\u9996\u6b21\u5b9e\u8bc1\uff1a\u5c0f\u6837\u672c\u9ad8\u8d28\u91cf\u63a8\u7406\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09+\u6d4b\u8bd5\u9636\u6bb5\u9884\u7b97\u7ea6\u675f\u63a7\u5236\uff08Budget Forcing\uff09\uff0c\u53ef\u6fc0\u6d3b\u5927\u6a21\u578b\u539f\u751f\u6d4b\u8bd5\u65f6\u7f29\u653e\u7279\u6027\uff0c\u4f4e\u6210\u672c\u5b9e\u73b0\u6a21\u578b\u903b\u8f91\u63a8\u7406\u80fd\u529b\u8dc3\u5347\u3002<\/p>\n\n\n\n

    \u8be5\u7406\u8bba\u6253\u7834\u884c\u4e1a\u201c\u5fae\u8c03\u6570\u636e\u8d8a\u591a\u6a21\u578b\u6548\u679c\u8d8a\u597d\u201d\u7684\u56fa\u6709\u8ba4\u77e5\uff0c\u4f46\u539f\u7248S1\u5b9e\u9a8c\u5b58\u5728\u660e\u663e\u5de5\u7a0b\u843d\u5730\u77ed\u677f\uff1a\u65e0\u6807\u51c6\u5316\u96c6\u7fa4\u8bad\u7ec3\u6d41\u7a0b\u3001\u4e0d\u652f\u6301\u591a\u8282\u70b9\u7b97\u529b\u6269\u5bb9\u3001\u65e0\u6cd5\u9002\u914d32B\u53ca\u4ee5\u4e0a\u5927\u53c2\u6570\u5f00\u6e90\u6a21\u578b\u3001\u65e0\u4f01\u4e1a\u53ef\u590d\u7528\u7684\u5de5\u7a0b\u914d\u7f6e\u6a21\u677f\u3002<\/p>\n\n\n\n

    \u57fa\u4e8e\u8be5\u7406\u8bba\u7a7a\u767d\u4e0e\u4ea7\u4e1a\u843d\u5730\u9700\u6c42\uff0cAPMIC\u7814\u53d1\u56e2\u961f\u5f00\u5c55\u5de5\u7a0b\u5316\u5b9e\u8bc1\u5b9e\u9a8c\uff1a\u4f9d\u6258NVIDIA NeMo\u5927\u6a21\u578b\u8bad\u7ec3\u5de5\u5177\u94fe\uff0c\u642d\u5efa\u8de8\u8282\u70b9GPU\u96c6\u7fa4\u73af\u5883\uff0c\u5b8c\u6210Qwen2.5-32B-Instruct\u57fa\u5ea7\u6a21\u578bS1\u8303\u5f0f\u590d\u523b\u4e0e\u80fd\u529b\u589e\u5f3a\u3002\u5b9e\u9a8c\u7a97\u53e3\u671f\u6070\u9022NeMo 1.0\u5411NeMo 2.0\u67b6\u6784\u8fc1\u79fb\uff0c\u5b98\u65b9\u672a\u539f\u751f\u9002\u914dQwen2.5\u7cfb\u5217\u6a21\u578b\u8bad\u7ec3\u914d\u65b9\uff08Recipe\uff09\uff0c\u56e2\u961f\u5b8c\u6210\u6a21\u578b\u914d\u7f6e\u3001\u96c6\u7fa4\u901a\u4fe1\u3001\u663e\u5b58\u8c03\u5ea6\u6a21\u5757\u624b\u52a8\u9002\u914d\u6539\u9020\uff0c\u5206\u522b\u572816\u5361H100\u53cc\u8282\u70b9\u96c6\u7fa4\u30018\u5361B200\u5355\u8282\u70b9\u96c6\u7fa4\u5b8c\u6210\u5168\u6d41\u7a0b\u95ed\u73af\u843d\u5730\u3002<\/p>\n\n\n\n

    \u672c\u6587\u6838\u5fc3\u4ef7\u503c\uff1a\u628a\u5b66\u672f\u7ea7S1\u7406\u8bba\uff0c\u8f6c\u5316\u4e3a\u4e2d\u5c0f\u4f01\u4e1a\u3001\u79d1\u7814\u673a\u6784\u5747\u53ef\u76f4\u63a5\u7167\u642c\u7684AI\u5927\u6a21\u578b\u5fae\u8c03\u843d\u5730SOP\u6807\u51c6\u65b9\u6848<\/strong>\uff0c\u660e\u786e\u786c\u4ef6\u9009\u578b\u3001\u73af\u5883\u90e8\u7f72\u3001\u6570\u636e\u5904\u7406\u3001\u6a21\u578b\u5fae\u8c03\u3001\u6548\u679c\u6d4b\u8bc4\u3001\u4e0a\u7ebf\u5f52\u6863\u5168\u94fe\u8def\u6267\u884c\u89c4\u8303\u3002<\/p>\n\n\n\n

    2. AI\u6570\u636e\u96c6\u5de5\u7a0b\u843d\u5730\uff1as1K\u5c0f\u6837\u672c\u63a8\u7406\u6570\u636e\u96c6\u6784\u5efa\u4e0e\u591a\u7ea7\u7b5b\u9009\u6807\u51c6<\/h3>\n\n\n\n

    \u6570\u636e\u96c6\u662f\u5927\u6a21\u578b\u5fae\u8c03\u6548\u679c\u7684\u6838\u5fc3\u53d8\u91cf\uff0c\u672c\u6b21\u843d\u5730\u5b9e\u9a8c\u6cbf\u7528S1\u56e2\u961f\u5f00\u6e90s1K\u6570\u636e\u96c6\uff0c\u843d\u5730\u6807\u51c6\u5316\u591a\u7ea7\u6570\u636e\u6e05\u6d17\u7b5b\u9009\u6d41\u6c34\u7ebf\uff0c\u5168\u7a0b\u53ef\u901a\u8fc7AI\u5de5\u5177\u6279\u91cf\u81ea\u52a8\u5316\u6267\u884c\uff0c\u65e0\u9700\u4eba\u5de5\u5927\u91cf\u5e72\u9884\u3002<\/p>\n\n\n\n

    2.1 \u6570\u636e\u96c6\u6838\u5fc3\u8bbe\u8ba1\u5b9a\u4f4d<\/h3>\n\n\n\n

    s1K\u662f\u9762\u5411\u6570\u7406\u903b\u8f91\u63a8\u7406\u573a\u666f\u3001\u8f7b\u91cf\u5316\u9ad8\u7eaf\u5ea6\u76d1\u7763\u5fae\u8c03\u6570\u636e\u96c6\uff0c\u4e25\u683c\u9075\u5faa\u5c0f\u4f53\u91cf\u3001\u9ad8\u96be\u5ea6\u3001\u9886\u57df\u591a\u5143\u3001\u8f68\u8ff9\u6807\u51c6\u5316<\/strong>\u56db\u5927\u843d\u5730\u6807\u51c6\uff0c\u603b\u8ba11000\u6761\u6807\u51c6\u95ee\u7b54\u6837\u672c\uff0c\u4e13\u95e8\u7528\u4e8e\u6fc0\u6d3b\u5927\u6a21\u578b\u601d\u7ef4\u94fe\u63a8\u7406\u80fd\u529b\u3002<\/p>\n\n\n\n

    2.2 AI\u81ea\u52a8\u5316\u6570\u636e\u96c6\u642d\u5efa\u5168\u6d41\u7a0b\uff08\u53ef\u843d\u5730\u6d41\u6c34\u7ebf\uff09<\/h3>\n\n\n\n
      \n
    1. \u539f\u59cb\u6837\u672c\u5f52\u96c6<\/strong>\uff1a\u805a\u540816\u7c7b\u5f00\u6e90\u6570\u7406\u63a8\u7406\u516c\u5f00\u9898\u5e93\uff0c\u5f52\u96c659000\u6761\u539f\u59cb\u63a8\u7406\u9898\u76ee\uff0c\u5efa\u7acb\u539f\u59cb\u6837\u672c\u8d44\u6e90\u6c60\uff1b<\/li>\n\n\n\n
    2. AI\u81ea\u52a8\u751f\u6210\u63a8\u7406\u8f68\u8ff9<\/strong>\uff1a\u8c03\u7528Gemini Thinking\u5927\u6a21\u578b\u6279\u91cf\u751f\u6210\u6807\u51c6\u5316\u601d\u7ef4\u94fe\u63a8\u7406\u8f68\u8ff9+\u6807\u51c6\u7b54\u6848\uff0c\u8f93\u51fa\u7b26\u5408Next-token\u9884\u6d4b\u8bad\u7ec3\u683c\u5f0f\u7684\u6807\u6ce8\u6570\u636e\uff1b<\/li>\n\n\n\n
    3. \u4e09\u7ea7AI\u667a\u80fd\u7b5b\u9009\u8fc7\u6ee4\uff08\u6838\u5fc3\u843d\u5730\u73af\u8282\uff09<\/strong>\n
        \n
      1. \u683c\u5f0f\u8d28\u91cf\u8fc7\u6ee4\uff1aAI\u811a\u672c\u81ea\u52a8\u5254\u9664\u683c\u5f0f\u9519\u4e71\u3001\u5185\u5bb9\u7f3a\u5931\u3001\u903b\u8f91\u65ad\u5c42\u65e0\u6548\u6837\u672c\uff1b<\/li>\n\n\n\n
      2. \u96be\u5ea6\u5206\u5c42\u8fc7\u6ee4\uff1a\u53cc\u57fa\u5ea7\u6a21\u578b\u8054\u52a8\u6d4b\u8bc4\uff0c\u8c03\u7528Qwen2.5-7B\u3001Qwen2.5-32B\u6279\u91cf\u4f5c\u7b54\uff0cClaude 3.5 Sonnet AI\u6267\u884c\u96be\u5ea6\u6253\u5206\uff1b\u5254\u9664\u6a21\u578b\u53ef\u96f6\u6210\u672c\u7b54\u5bf9\u7684\u4f4e\u96be\u5ea6\u6837\u672c\uff0c\u540c\u6b65\u4ee5\u63a8\u7406Token\u957f\u5ea6\u4f5c\u4e3a\u8f85\u52a9\u96be\u5ea6\u9608\u503c\u6307\u6807\uff1b<\/li>\n\n\n\n
      3. \u9886\u57df\u591a\u6837\u6027\u8fc7\u6ee4\uff1aAI\u5206\u7c7b\u6a21\u578b\u5c06\u6837\u672c\u5212\u520650\u4e2a\u7ec6\u5206\u63a8\u7406\u9886\u57df\uff0c\u8de8\u9886\u57df\u5206\u5c42\u62bd\u6837\uff0c\u4fdd\u7559\u9ad8\u7a00\u7f3a\u6027\u3001\u9ad8\u6311\u6218\u6027\u8fb9\u7f18\u573a\u666f\u6837\u672c\uff1b<\/li>\n<\/ol>\n<\/li>\n\n\n\n
      4. \u6570\u636e\u96c6\u8fed\u4ee3\u5347\u7ea7<\/strong>\uff1a\u884d\u751f\u7248\u672cs1K-1.1\u66f4\u6362DeepSeek-R1\u9ad8\u63a8\u7406\u6a21\u578b\u91cd\u7ed8\u63a8\u7406\u8f68\u8ff9\uff0c\u5b9e\u9a8c\u843d\u5730\u8bc1\u660e\uff1a\u63a8\u7406\u8f68\u8ff9\u6807\u6ce8\u8d28\u91cf\uff0c\u76f4\u63a5\u51b3\u5b9aSFT\u5fae\u8c03\u540e\u6a21\u578b\u63a8\u7406\u4e0a\u9650<\/strong>\u3002<\/li>\n<\/ol>\n\n\n\n

        \u843d\u5730\u5b9e\u64cd\u7ed3\u8bba<\/strong>\uff1aLLM\u5fae\u8c03\u573a\u666f\u4e0b\uff0cAI\u81ea\u52a8\u5316\u7cbe\u7b5b1000\u6761\u9ad8\u8d28\u91cf\u6837\u672c\uff0c\u843d\u5730\u6548\u679c\u4f18\u4e8e\u4e07\u6761\u7ea7\u4f4e\u8d28\u566a\u58f0\u6570\u636e\u96c6\uff0c\u53ef\u5927\u5e45\u8282\u7ea6\u7b97\u529b\u4e0e\u6570\u636e\u6807\u6ce8\u6210\u672c\u3002<\/p>\n\n\n\n

        3. NVIDIA NeMo\u6846\u67b6\u591a\u8282\u70b9\u5fae\u8c03\u5e95\u5c42\u6280\u672f\u4f18\u52bf\uff08\u652f\u6491\u65b9\u6848\u843d\u5730\u7684\u6838\u5fc3\u5e95\u5ea7\uff09<\/h3>\n\n\n\n

        \u9009\u62e9NVIDIA NeMo 2.0\u4f5c\u4e3a\u672c\u6b21AI\u5fae\u8c03\u843d\u5730\u6838\u5fc3\u6846\u67b6\uff0c\u4e3b\u8981\u9002\u914d32B\u5927\u53c2\u6570\u6a21\u578b\u8de8\u8282\u70b9\u96c6\u7fa4\u8bad\u7ec3\u5de5\u7a0b\u9700\u6c42\uff0c\u56db\u5927\u5e95\u5c42\u80fd\u529b\u89e3\u51b3\u4f20\u7edf\u5206\u5e03\u5f0f\u8bad\u7ec3\u843d\u5730\u5361\u70b9\uff1a<\/p>\n\n\n\n

        3.1 \u591a\u5e76\u884c\u7b56\u7565\u539f\u751f\u878d\u5408\uff0c\u964d\u4f4e\u5927\u6a21\u578b\u786c\u4ef6\u843d\u5730\u95e8\u69db<\/h3>\n\n\n\n

        NeMo\u539f\u751f\u6574\u5408Megatron-LM\u3001DeepSpeed\u4e24\u5927\u4e3b\u6d41\u5927\u6a21\u578b\u8bad\u7ec3\u5f15\u64ce\uff0c\u4e00\u7ad9\u5f0f\u652f\u6301\u5f20\u91cf\u5e76\u884c\uff08TP\uff09\u3001\u6d41\u6c34\u7ebf\u5e76\u884c\uff08PP\uff09\u3001\u6570\u636e\u5e76\u884c\uff08DP\uff09\u4e09\u7c7b\u6df7\u5408\u5e76\u884c\u8c03\u5ea6\uff1b\u642d\u8f7dZeRO\u663e\u5b58\u5206\u7247\u4f18\u5316\u7b97\u6cd5\uff0c\u5c06\u4f18\u5316\u5668\u53c2\u6570\u3001\u68af\u5ea6\u3001\u6a21\u578b\u6743\u91cd\u5206\u7247\u5b58\u50a8\u81f3\u591aGPU\u786c\u4ef6\uff0c\u89e3\u51b332B\u5927\u6a21\u578b\u5355\u5361\u663e\u5b58\u6ea2\u51fa\u843d\u5730\u901a\u75c5\u3002<\/p>\n\n\n\n

        3.2 \u9ad8\u6027\u80fd\u96c6\u7fa4\u901a\u4fe1\uff0c\u9002\u914d\u8de8\u8282\u70b9\u8fdc\u7a0b\u8bad\u7ec3<\/h3>\n\n\n\n

        \u5e95\u5c42\u57fa\u4e8eNCCL\u96c6\u5408\u901a\u4fe1\u5e93\uff0c\u6df1\u5ea6\u8054\u52a8NVLink\u663e\u5361\u76f4\u8fde\u3001InfiniBand\u96c6\u7fa4\u9ad8\u901f\u4e92\u8054\u534f\u8bae\uff1b\u652f\u6301Torchrun\u3001Slurm\u4e24\u7c7b\u5de5\u4e1a\u7ea7\u96c6\u7fa4\u8c03\u5ea6\u5de5\u5177\uff0c\u4fdd\u969c\u591a\u673a\u623f\u3001\u591a\u8282\u70b9\u786c\u4ef6\u62d3\u6251\u4e0b\uff0cGPU\u8de8\u8282\u70b9\u901a\u4fe1\u4f4e\u5ef6\u8fdf\u3001\u9ad8\u541e\u5410\uff0c\u675c\u7edd\u96c6\u7fa4\u8bad\u7ec3\u5361\u987f\u3001\u6389\u7ebf\u3001\u68af\u5ea6\u540c\u6b65\u5931\u8d25\u95ee\u9898\u3002<\/p>\n\n\n\n

        3.3 AI\u667a\u80fd\u663e\u5b58\u8c03\u5ea6\uff0c\u81ea\u52a8\u4f18\u5316\u786c\u4ef6\u8d44\u6e90\u5360\u7528<\/h3>\n\n\n\n

        \u642d\u8f7dNeMo\u72ec\u6709\u81ea\u52a8\u9009\u62e9\u6027\u6fc0\u6d3b\u91cd\u7b97\u7b97\u6cd5<\/strong>\uff0cAI\u667a\u80fd\u5224\u522bTransformer\u6ce8\u610f\u529b\u5c42\u3001MLP\u5168\u8fde\u63a5\u5c42\u9ad8\u663e\u5b58\u5360\u7528\u6a21\u5757\uff1b\u53cd\u5411\u4f20\u64ad\u9636\u6bb5\u81ea\u52a8\u91cd\u7b97\u4e2d\u95f4\u6fc0\u6d3b\u503c\uff0c\u65e0\u9700\u5de5\u7a0b\u5e08\u624b\u52a8\u4fee\u6539\u7f51\u7edc\u5c42\u7ea7\u4ee3\u7801\uff0c\u6700\u9ad8\u964d\u4f4e40%GPU\u663e\u5b58\u5cf0\u503c\u5360\u7528\uff0c\u5927\u5e45\u964d\u4f4e\u786c\u4ef6\u91c7\u8d2d\u843d\u5730\u6210\u672c\u3002<\/p>\n\n\n\n

        3.4 \u5de5\u4e1a\u7ea7\u5bb9\u9519\u5f52\u6863\uff0c\u4fdd\u969c\u957f\u5468\u671f\u8bad\u7ec3\u7a33\u5b9a\u843d\u5730<\/h3>\n\n\n\n

        \u53ef\u81ea\u5b9a\u4e49\u5468\u671fCheckpoint\u65ad\u70b9\u7eed\u8bad\u7b56\u7565\uff0cAI\u667a\u80fd\u6e05\u7406\u65e0\u6548\u5f52\u6863\u6587\u4ef6\uff1b\u96c6\u7fa4\u7a81\u53d1\u65ad\u7535\u3001\u8282\u70b9\u5b95\u673a\u3001\u7b97\u529b\u62a2\u5360\u573a\u666f\u4e0b\uff0c\u53ef\u7cbe\u51c6\u6062\u590d\u8bad\u7ec3\u8fdb\u5ea6\uff0c\u4e0d\u91cd\u590d\u6d88\u8017\u7b97\u529b\u8d44\u6e90\uff0c\u9002\u914d\u4f01\u4e1a7*24\u5c0f\u65f6\u5e38\u6001\u5316\u6a21\u578b\u8bad\u7ec3\u4f5c\u4e1a\u3002<\/p>\n\n\n\n

        4. \u6838\u5fc3\u7ae0\u8282\uff1aQwen2.5-32B\u591a\u8282\u70b9\u6307\u4ee4\u5fae\u8c03AI\u5168\u6d41\u7a0b\u843d\u5730\u89e3\u51b3\u65b9\u6848\uff08\u53ef\u76f4\u63a5\u590d\u523bSOP\uff09<\/h3>\n\n\n\n

        \u672c\u7ae0\u8f93\u51fa\u65e0\u4e8c\u6b21\u6539\u9020\u3001\u76f4\u63a5\u843d\u5730<\/strong>\u7684\u6807\u51c6\u5316\u5de5\u7a0b\u65b9\u6848\uff0c\u5305\u542b\u786c\u4ef6\u9009\u578b\u3001\u73af\u5883\u90e8\u7f72\u3001\u6570\u636e\u683c\u5f0f\u6539\u9020\u3001\u6a21\u578b\u9002\u914d\u3001\u96c6\u7fa4\u8c03\u5ea6\u3001\u542f\u52a8\u811a\u672c\u3001\u8d85\u53c2\u914d\u7f6e\u5168\u5185\u5bb9\uff0c\u9002\u914d\u79d1\u7814\u4e0e\u4f01\u4e1a\u751f\u4ea7\u73af\u5883\u3002<\/p>\n\n\n\n

        4.1 \u843d\u5730\u524d\u7f6e\u6761\u4ef6\uff1a\u786c\u4ef6\u4e0e\u8f6f\u4ef6\u73af\u5883\u57fa\u7ebf<\/h3>\n\n\n\n

        4.1.1 \u786c\u4ef6\u843d\u5730\u914d\u7f6e\uff08\u4e24\u7c7b\u751f\u4ea7\u53ef\u7528\u65b9\u6848\uff09<\/h4>\n\n\n\n
        \u843d\u5730\u90e8\u7f72\u65b9\u6848<\/td>\u786c\u4ef6\u96c6\u7fa4\u89c4\u683c<\/td>\u9002\u7528\u843d\u5730\u573a\u666f<\/td>\u8bad\u7ec3\u8017\u65f6\u57fa\u7ebf<\/td><\/tr>
        \u65b9\u6848A\uff1a\u591a\u8282\u70b9\u5206\u5e03\u5f0f\uff08\u4e3b\u63a8\u751f\u4ea7\u65b9\u6848\uff09<\/td>2\u4e2a\u8ba1\u7b97\u8282\u70b9\uff0c\u5355\u8282\u70b98\u00d7NVIDIA H100 80GB GPU\uff1bInfiniBand\u8282\u70b9\u4e92\u8054<\/td>\u6279\u91cf\u5b9e\u9a8c\u3001\u5927\u7b97\u529b\u6269\u5bb9\u3001\u7ebf\u4e0a\u751f\u4ea7\u5fae\u8c03<\/td>315\u6b65\u8bad\u7ec3\uff0c16min\u95ed\u73af\u5b8c\u6210<\/td><\/tr>
        \u65b9\u6848B\uff1a\u5355\u8282\u70b9\u9ad8\u6027\u80fd\uff08\u4f4e\u6210\u672c\u5c0f\u89c4\u6a21\u65b9\u6848\uff09<\/td>1\u4e2a\u8ba1\u7b97\u8282\u70b9\uff0c8\u00d7NVIDIA B200 GPU<\/td>\u5c0f\u6279\u91cf\u5b9e\u9a8c\u3001\u7b97\u6cd5\u9a8c\u8bc1\u3001\u9884\u7b97\u6709\u9650\u56e2\u961f<\/td>\u6a21\u578b\u5168\u6536\u655b\uff0c\u65e0\u8de8\u8282\u70b9\u901a\u4fe1\u635f\u8017<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

        4.1.2 \u8f6f\u4ef6\u73af\u5883\u6807\u51c6\u5316\u57fa\u7ebf<\/h4>\n\n\n\n
          \n
        • \u6846\u67b6\u7248\u672c\uff1aNeMo 2.0\uff08\u8fc1\u79fb\u524d\u7a33\u5b9a\u7248\uff09\u3001Megatron-LM\u6838\u5fc3\u4f9d\u8d56<\/li>\n\n\n\n
        • \u5e95\u5c42\u9a71\u52a8\uff1aCUDA 12.4\u3001NCCL 2.21\u3001PyTorch 2.5.1<\/li>\n\n\n\n
        • \u8c03\u5ea6\u5de5\u5177\uff1aTorchrun\uff08\u7b80\u6613\u90e8\u7f72\uff09\/ Slurm\uff08\u4f01\u4e1a\u96c6\u7fa4\u8c03\u5ea6\uff09<\/li>\n\n\n\n
        • \u6a21\u578b\u57fa\u5ea7\uff1aQwen\/Qwen2.5-32B-Instruct\uff08\u5f00\u6e90\u5b98\u65b9\u6743\u91cd\uff09<\/li>\n<\/ul>\n\n\n\n

          4.2 \u6b65\u9aa41\uff1a\u6570\u636e\u96c6AI\u683c\u5f0f\u5316\u843d\u5730\uff08NeMo\u5f3a\u5236\u683c\u5f0f\u9002\u914d\uff09<\/h3>\n\n\n\n

          NeMo 2.0\u5fae\u8c03\u6d41\u6c34\u7ebf\u4ec5\u652f\u6301\u6807\u51c6JSONL\u683c\u5f0fQA\u95ee\u7b54\u5bf9\uff0c\u6267\u884cAI\u6279\u91cf\u683c\u5f0f\u8f6c\u6362\u811a\u672c\uff0c\u5c06\u539f\u751fs1K\u6570\u636e\u96c6\u8f6c\u4e3aAlpaca\u517c\u5bb9\u6807\u51c6\u683c\u5f0f\uff1b\u6807\u51c6\u6837\u672c\u683c\u5f0f\u5982\u4e0b\uff0c\u53ef\u6279\u91cf\u811a\u672c\u6279\u91cf\u751f\u6210\uff1a<\/p>\n\n\n\n

          {\"input\": \"Let $a,b,A,B$ be given reals. We consider the function defined by \\\\[ f(x) = 1 - a \\\\cdot \\\\cos(x) - b \\\\cdot \\\\sin(x) - A \\\\cdot \\\\cos(2x) - B \\\\cdot \\\\sin(2x). \\\\] Prove that if for any real number $x$ we have $f(x) \\\\geq 0$ then $a^2 + b^2 \\\\leq 2$ and $A^2 + B^2 \\\\leq 1.$.\", \"output\": \"Let $P(x) = 1 - a \\\\cos x - b \\\\sin x - A \\\\cos 2x - B \\\\sin 2x$. Since $P(x) \\\\geq 0$ for all real $x$, by Fejer-Riesz theorem...\"}<\/code><\/pre>\n\n\n\n
          \u843d\u5730\u6ce8\u610f\u4e8b\u9879<\/strong>\uff1a\u5173\u95ed\u5197\u4f59\u5b57\u6bb5\uff0c\u4ec5\u4fdd\u7559input\/output\u5b57\u6bb5\uff0c\u964d\u4f4eNeMo\u6570\u636e\u52a0\u8f7d\u663e\u5b58\u5360\u7528\u3002<\/p>\n\n\n\n
          4.3 \u6b65\u9aa42\uff1a\u6df7\u5408\u5e76\u884c\u7b56\u7565\u6807\u51c6\u5316\u914d\u7f6e\uff08AI\u81ea\u9002\u5e94\u7b97\u529b\u8c03\u5ea6\uff09<\/h3>\n\n\n\n
          \u7ed3\u540832B\u6a21\u578b\u53c2\u6570\u4f53\u91cf\u4e0eGPU\u663e\u5b58\u5e26\u5bbd\uff0c\u914d\u7f6e\u4e24\u5957\u56fa\u5316\u5e76\u884c\u8d85\u53c2\uff0cAI\u6846\u67b6\u81ea\u52a8\u5206\u914d\u7b97\u529b\u4efb\u52a1\uff0c\u65e0\u9700\u4eba\u5de5\u8c03\u53c2\uff1a<\/p>\n\n\n\n
          \u786c\u4ef6\u73af\u5883<\/td>\u5f20\u91cf\u5e76\u884cTP<\/td>\u6d41\u6c34\u7ebf\u5e76\u884cPP<\/td>\u5e8f\u5217\u5e76\u884cCP<\/td>\u914d\u7f6e\u8bf4\u660e<\/td><\/tr>
          16\u00d7H100 \u53cc\u8282\u70b9<\/td>8<\/td>2<\/td>1<\/td>\u591a\u8282\u70b9\u6700\u4f18\u6269\u5bb9\u914d\u7f6e<\/td><\/tr>
          8\u00d7B200 \u5355\u8282\u70b9<\/td>8<\/td>2<\/td>1<\/td>\u663e\u5b58\u6700\u4f18\u6536\u655b\u914d\u7f6e<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
          \u914d\u7f6e\u903b\u8f91\uff1a\u5e8f\u5217\u5e76\u884c\u56fa\u5b9a\u4e3a1\uff0c\u4fdd\u5168\u5927\u6a21\u578b\u4e0a\u4e0b\u6587\u8bed\u4e49\u5b8c\u6574\u6027\uff1b\u5f20\u91cf\u5e76\u884c\u62c6\u5206\u77e9\u9635\u8ba1\u7b97\uff0c\u6d41\u6c34\u7ebf\u5e76\u884c\u5206\u5c42\u5207\u5272\u6a21\u578b\u7f51\u7edc\u5c42\u3002<\/p>\n\n\n\n
          4.4 \u6b65\u9aa43\uff1a\u81ea\u5b9a\u4e49\u6a21\u578bRecipe\u9002\u914d\uff08NeMo2.0\u843d\u5730\u6838\u5fc3\u6539\u9020\uff09<\/h3>\n\n\n\n
          \u5b9e\u9a8c\u9636\u6bb5NeMo 2.0\u65e0Qwen2.5\u5b98\u65b9\u8bad\u7ec3\u914d\u65b9\uff0c\u843d\u5730\u65f6\u624b\u52a8\u5b8c\u6210\u6a21\u578b\u7c7b\u6ce8\u518c\u9002\u914d\uff1b\u76ee\u524dNVIDIA\u5b98\u65b9\u5df2\u539f\u751f\u652f\u6301Qwen2.5\u5168\u7cfb\u5217\uff0c\u65b0\u65e7\u4e24\u5957\u843d\u5730\u65b9\u6848\u5982\u4e0b\uff1a<\/p>\n\n\n\n
          4.4.1 \u65e7\u73af\u5883\u9002\u914d\u4ee3\u7801\uff08\u65e0\u5b98\u65b9\u539f\u751f\u652f\u6301\uff0c\u624b\u52a8\u90e8\u7f72\uff09<\/h4>\n\n\n\n
          def configure_recipe(args):\n    recipe = default_finetune_recipe(\n        run.Config(llm.Qwen2Model, config=run.Config(Qwen25Config32B)),\n        hf_id=\"Qwen\/Qwen2.5-32B-Instruct\",\n        dir=\"your local model weight path\",\n        name=args.experiment,\n        num_nodes=args.num_nodes,\n        num_gpus_per_node=args.num_gpus,\n        packed_sequence=True,\n    )\n    return recipe<\/code><\/pre>\n\n\n\n
          4.4.2 \u65b0\u7248\u6781\u7b80\u843d\u5730\u65b9\u6848\uff082026\u73b0\u884c\u5b98\u65b9\u73af\u5883\uff09<\/h4>\n\n\n\n
          \u76f4\u63a5\u8c03\u7528NeMo\u5b98\u65b9\u5c01\u88c5Qwen2.5 Recipe\u63a5\u53e3\uff0c\u65e0\u9700\u81ea\u5b9a\u4e49\u6a21\u578b\u7c7b\uff0c\u4e00\u884c\u547d\u4ee4\u542f\u52a8\u5fae\u8c03\uff0c\u5927\u5e45\u964d\u4f4e\u5de5\u7a0b\u843d\u5730\u95e8\u69db\u3002<\/p>\n\n\n\n
          4.5 \u6b65\u9aa44\uff1a\u96c6\u7fa4\u542f\u52a8\u4e0e\u4f5c\u4e1a\u8c03\u5ea6\u843d\u5730\u547d\u4ee4<\/h3>\n\n\n\n
          \u53cc\u8282\u70b9H100\u96c6\u7fa4Torchrun\u542f\u52a8\u547d\u4ee4\uff0c\u590d\u5236\u5373\u53ef\u76f4\u63a5\u8fd0\u884c\u8de8\u8282\u70b9\u5fae\u8c03\u4f5c\u4e1a\uff1a<\/p>\n\n\n\n
          torchrun --nproc_per_node=8 --nnodes=2 --node-addr=\u4e3b\u8282\u70b9IP main.py --config qwen25_32b_sft.yaml<\/code><\/pre>\n\n\n\n
          4.6 \u6b65\u9aa45\uff1a\u6a21\u578b\u6d4b\u8bc4\u4e0e\u5f52\u6863\u843d\u5730<\/h3>\n\n\n\n
          \u5fae\u8c03\u5b8c\u6210\u540eAI\u81ea\u52a8\u8c03\u7528MMLU\u591a\u4efb\u52a1\u6d4b\u8bc4\u6d41\u6c34\u7ebf\uff0c\u8f93\u51fa\u6807\u51c6\u5316\u6a21\u578b\u62a5\u8868\uff1b\u81ea\u52a8\u5f52\u6863\u6700\u4f18Checkpoint\u6743\u91cd\u6587\u4ef6\uff0c\u7528\u4e8e\u540e\u7eed\u4e1a\u52a1\u573a\u666f\u90e8\u7f72\u3002<\/p>\n\n\n\n
          5. \u5b9e\u9a8c\u7ed3\u679c\u4e0e\u843d\u5730\u6548\u80fd\u5206\u6790<\/h3>\n\n\n\n
          5.1 \u6838\u5fc3\u6a21\u578b\u6027\u80fd\u6570\u636e<\/h3>\n\n\n\n
          \u7edf\u4e00\u5728MMLU\u901a\u7528\u80fd\u529b\u57fa\u51c6\u6570\u636e\u96c6\u5b8c\u6210\u6d4b\u8bc4\uff0c\u5bf9\u6bd4\u57fa\u5ea7\u6a21\u578b\u4e0eS1\u8303\u5f0f\u5fae\u8c03\u540e\u6a21\u578b\u6548\u679c\uff1a<\/p>\n\n\n\n
            \n
          • Qwen2.5-32B-Instruct\uff08\u539f\u59cb\u57fa\u5ea7\u6a21\u578b\uff09\uff1a80.74% MMLU\u51c6\u786e\u7387<\/li>\n\n\n\n
          • Qwen2.5-32B-Instruct\uff08s1K\u5c0f\u6837\u672cNeMo\u5fae\u8c03\uff09\uff1a82.05% MMLU\u51c6\u786e\u7387<\/li>\n<\/ul>\n\n\n\n
            \u6a21\u578b\u7efc\u5408\u80fd\u529b\u63d0\u53471.31%\uff0c\u5728\u6570\u7406\u63a8\u7406\u3001\u903b\u8f91\u8bba\u8bc1\u7ec6\u5206\u4efb\u52a1\u6da8\u5e45\u8fbe\u52302.7%\uff0c\u9a8c\u8bc1\u5c0f\u6837\u672c\u9ad8\u8d28\u91cf\u5fae\u8c03\u843d\u5730\u6709\u6548\u6027\u3002<\/p>\n\n\n\n
            5.2 \u591a\u786c\u4ef6\u96c6\u7fa4\u843d\u5730\u4e00\u81f4\u6027\u7ed3\u8bba<\/h3>\n\n\n\n
            H100\u53cc\u8282\u70b9\u3001B200\u5355\u8282\u70b9\u4e24\u7c7b\u786c\u4ef6\u73af\u5883\u590d\u73b0\u76f8\u540c\u6027\u80fd\u589e\u76ca\uff1b\u8bc1\u660e\u8fd9\u5957NeMo\u843d\u5730\u65b9\u6848\u786c\u4ef6\u5f02\u6784\u9002\u914d\u6027\u5f3a\u3001\u5b9e\u9a8c\u53ef\u590d\u73b0\u3001\u9002\u5408\u89c4\u6a21\u5316\u884c\u4e1a\u843d\u5730<\/strong>\u3002\u76f8\u8f83\u4e8e\u539f\u7248S1\u5b9e\u9a8c\uff0cNeMo\u96c6\u7fa4\u67b6\u6784\u5c06\u8bad\u7ec3\u65f6\u957f\u4ece26\u5206\u949f\u538b\u7f29\u81f316\u5206\u949f\uff0c\u7b97\u529b\u5229\u7528\u7387\u63d0\u534738%\u3002<\/p>\n\n\n\n
            6. \u7814\u7a76\u7ed3\u8bba\u4e0e\u65b9\u6848\u9002\u7528\u843d\u5730\u573a\u666f<\/h3>\n\n\n\n
            1. \u6838\u5fc3\u7814\u7a76\u7ed3\u8bba\uff1a\u5927\u6a21\u578b\u5b9a\u5236\u5fae\u8c03\u843d\u5730\uff0c\u6570\u636e\u8d28\u91cf>\u6570\u636e\u4f53\u91cf\uff0c\u96c6\u7fa4\u8c03\u5ea6\u67b6\u6784>\u76f2\u76ee\u5806\u780c\u7b97\u529b\uff1b1000\u6761\u9ad8\u7eaf\u5ea6\u63a8\u7406\u6837\u672c\u5373\u53ef\u5b8c\u621032B\u7ea7\u522b\u5f00\u6e90\u5927\u6a21\u578b\u80fd\u529b\u589e\u5f3a\u3002<\/p>\n\n\n\n
            2. \u5de5\u5177\u94fe\u843d\u5730\u7ed3\u8bba\uff1aNVIDIA NeMo 2.0\u662f\u73b0\u9636\u6bb532B\u53ca\u4ee5\u4e0a\u5927\u53c2\u6570LLM\u8de8\u8282\u70b9\u5fae\u8c03\u6700\u4f18\u5de5\u7a0b\u5e95\u5ea7\u4e4b\u4e00\uff0c\u663e\u5b58\u4f18\u5316\u3001\u96c6\u7fa4\u5bb9\u9519\u3001\u5e76\u884c\u8c03\u5ea6\u80fd\u529b\u6ee1\u8db3\u751f\u4ea7\u7ea7\u843d\u5730\u6807\u51c6\u3002<\/p>\n\n\n\n
            3. \u9002\u7528\u4ea7\u4e1a\u843d\u5730\u573a\u666f\uff1a\u79d1\u7814\u673a\u6784\u5927\u6a21\u578b\u7b97\u6cd5\u590d\u73b0\u3001\u4f01\u4e1a\u884c\u4e1a\u79c1\u6709\u9886\u57df\u5c0f\u6837\u672c\u5b9a\u5236\u5927\u6a21\u578b\u3001\u6570\u7406\u63a8\u7406\u7c7b\u884c\u4e1aAI\u52a9\u624b\u3001\u8f7b\u91cf\u5316\u79c1\u6709\u5316LLM\u90e8\u7f72\u9879\u76ee\u3002<\/p>\n\n\n\n
            7. \u6280\u672f\u540e\u8bb0\uff1aNeMo\u67b6\u6784\u8fed\u4ee3\u6700\u65b0\u843d\u5730\u751f\u6001<\/h3>\n\n\n\n
            2026\u5e74NVIDIA\u5b98\u65b9\u5b8c\u6210NeMo 2.0\u5168\u91cf\u67b6\u6784\u5347\u7ea7\uff0c\u5c06\u8bad\u7ec3\u914d\u65b9\u3001\u96c6\u7fa4\u8c03\u5ea6\u3001\u6a21\u578b\u6743\u91cd\u7ba1\u7406\u6a21\u5757\u5168\u91cf\u8fc1\u79fb\u81f3Megatron Bridge<\/strong>\u65b0\u67b6\u6784\u3002\u65b0\u67b6\u6784\u91c7\u7528PyTorch\u539f\u751f\u8bad\u7ec3\u5faa\u73af\uff0c\u89e3\u9664NeMo\u539f\u6709\u7ec4\u4ef6\u5c01\u88c5\u9650\u5236\uff0c\u652f\u6301\u5f00\u53d1\u8005\u81ea\u5b9a\u4e49AI\u8bad\u7ec3\u6d41\u6c34\u7ebf\u3001\u63d2\u62d4\u5f0f\u884c\u4e1a\u6a21\u5757\uff0c\u8fdb\u4e00\u6b65\u964d\u4f4e\u79c1\u6709\u5316\u5927\u6a21\u578b\u4e8c\u6b21\u5f00\u53d1\u548c\u843d\u5730\u90e8\u7f72\u95e8\u69db\u3002\u672c\u6b21\u5b9e\u9a8c\u5168\u90e8\u5386\u53f2\u914d\u7f6e\uff0c\u53ef\u65e0\u7f1d\u8fc1\u79fb\u81f3Megatron Bridge\u67b6\u6784\u8fd0\u884c\u3002<\/p>\n\n\n\n
            8. \u5de5\u7a0b\u843d\u5730\u98ce\u9669\u6392\u67e5\u4e0e\u4f18\u5316\u5efa\u8bae\uff08\u843d\u5730\u5b9e\u64cd\u8865\u5145\uff09<\/h3>\n\n\n\n
            8.1 \u5e38\u89c1\u843d\u5730\u6545\u969c\u4e0e\u89e3\u51b3\u65b9\u6848<\/h3>\n\n\n\n
              \n
            • \u8de8\u8282\u70b9GPU\u901a\u4fe1\u5931\u8d25\uff1a\u68c0\u67e5InfiniBand\u9a71\u52a8\u3001NCCL\u901a\u4fe1\u914d\u7f6e\uff0c\u5173\u95ed\u8282\u70b9\u9632\u706b\u5899\uff1b<\/li>\n\n\n\n
            • 32B\u6a21\u578b\u663e\u5b58\u6ea2\u51fa\uff1a\u5f00\u542fNeMo\u81ea\u52a8\u6fc0\u6d3b\u91cd\u7b97+ZeRO 2\u7ea7\u5206\u7247\u4f18\u5316\uff1b<\/li>\n\n\n\n
            • \u5fae\u8c03\u6a21\u578b\u6548\u679c\u65e0\u589e\u76ca\uff1a\u6eaf\u6e90\u7b5b\u67e5\u6570\u636e\u96c6\u63a8\u7406\u8f68\u8ff9\u8d28\u91cf\uff0c\u8c03\u9ad8\u6837\u672c\u96be\u5ea6\u7b5b\u9009\u9608\u503c\u3002<\/li>\n<\/ul>\n\n\n\n
              8.2 \u540e\u7eed\u8fed\u4ee3\u843d\u5730\u65b9\u5411<\/h3>\n\n\n\n
              \u53ef\u7ed3\u5408NeMo\u6846\u67b6LoRA\/IA\u00b3\u9ad8\u6548\u53c2\u6570\u5fae\u8c03\u65b9\u6848\uff0c\u964d\u4f4e\u7b97\u529b\u6d88\u8017\uff1b\u53e0\u52a0\u6a21\u578b\u84b8\u998f\u6280\u672f\uff0c\u628a32B\u6700\u4f18\u6a21\u578b\u84b8\u998f\u4e3a7B\/14B\u8f7b\u91cf\u5316\u6a21\u578b\uff0c\u9002\u914d\u8fb9\u7f18\u7ec8\u7aef\u8bbe\u5907\u90e8\u7f72\u3002<\/p>\n\n\n\n
              \u4f5c\u8005\u7b80\u4ecb<\/strong>\uff1aEthan Kuo\uff0cAPMIC\u7814\u53d1\u90e8\u7814\u7a76\u7814\u7a76\u5458\u3001LLM\u7b97\u6cd5\u5de5\u7a0b\u5e08\uff0c\u957f\u671f\u6df1\u8015NVIDIA\u5168\u6808\u5de5\u5177\u94fe\u3001\u5927\u6a21\u578b\u96c6\u7fa4\u5fae\u8c03\u3001\u79c1\u6709\u5316\u5927\u6a21\u578b\u5de5\u7a0b\u843d\u5730\u9886\u57df\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
              \u5f53\u524d\u5927\u6a21\u578b\u5fae\u8c03\u666e\u904d\u5b58\u5728\u7b97\u529b\u8d44\u6e90\u6d6a\u8d39\u3001\u5197\u4f59\u6570\u636e\u96c6\u62d6\u7d2f\u6a21\u578b\u6548\u679c\u3001\u591a\u8282\u70b9\u96c6\u7fa4\u8bad\u7ec3\u8c03\u5ea6\u56f0\u96be\u4e09\u5927\u75db\u70b9\u3002\u672c\u6587\u57fa\u4e8eS1\u6d4b\u8bd5\u65f6 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":["post-654","post","type-post","status-publish","format-standard","hentry","category-aizhinengxitong"],"_links":{"self":[{"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/posts\/654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/comments?post=654"}],"version-history":[{"count":1,"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/posts\/654\/revisions"}],"predecessor-version":[{"id":655,"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/posts\/654\/revisions\/655"}],"wp:attachment":[{"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/media?parent=654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/categories?post=654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.longxiapro.com\/index.php\/wp-json\/wp\/v2\/tags?post=654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}