{"id":35523,"date":"2024-12-26T15:00:03","date_gmt":"2024-12-26T07:00:03","guid":{"rendered":"https:\/\/17aitech.com\/?p=35523"},"modified":"2024-12-26T15:00:03","modified_gmt":"2024-12-26T07:00:03","slug":"moe-%e9%ab%98%e6%95%88%e8%ae%ad%e7%bb%83%e7%9a%84-a-b-%e9%9d%a2%ef%bc%9a%e4%b8%8e%e9%ad%94%e9%ac%bc%e5%81%9a%e4%ba%a4%e6%98%93%ef%bc%8c%e7%94%a8%e3%80%8c%e6%98%be%e5%ad%98%e3%80%8d%e6%8d%a2%e3%80%8c","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=35523","title":{"rendered":"MoE \u9ad8\u6548\u8bad\u7ec3\u7684 A\/B \u9762\uff1a\u4e0e\u9b54\u9b3c\u505a\u4ea4\u6613\uff0c\u7528\u300c\u663e\u5b58\u300d\u6362\u300c\u6027\u80fd\u300d"},"content":{"rendered":"

<\/p>\n

MoE \u4f1a\u6210\u4e3a\u672a\u6765\u5927\u6a21\u578b\u8bad\u7ec3\u7684\u65b0\u65b9\u5411\u5417\uff1f<\/p>\n

\u8fd9\u662f\u4eba\u4eec\u53d1\u73b0 MoE \u67b6\u6784\u53ef\u4ee5\u7528\u4e8e\u5927\u6a21\u578b\u8bad\u7ec3\u3001\u63a8\u7406\u540e\uff0c\u53d1\u51fa\u7684\u4e00\u58f0\u7591\u95ee\u3002<\/p>\n

MoE\uff08Mixture of Experts\uff09\uff0c\u53c8\u79f0\u300c\u6df7\u5408\u4e13\u5bb6\u300d\uff0c\u672c\u8d28\u662f\u4e00\u79cd\u6a21\u5757\u5316\u7684\u7a00\u758f\u6fc0\u6d3b\u3002\u600e\u4e48\u7406\u89e3\uff1f<\/p>\n

\u5f53\u524d\u7684\u5927\u6a21\u578b\u4e3b\u8981\u5206\u4e3a\u7a20\u5bc6\uff08dense\uff09\u6a21\u578b\u4e0e\u7a00\u758f\uff08sparse\uff09\u6a21\u578b\uff0c\u4e24\u8005\u7684\u533a\u522b\u4e3b\u8981\u5728\u4e8e\u6a21\u578b\u8fdb\u884c\u8ba1\u7b97\u65f6\uff0c\u88ab\u8c03\u7528\u7684\u53c2\u6570\u6570\u91cf\uff0c\u53c2\u6570\u5168\u90e8\u751f\u6548\u4f7f\u7528\u7684\u662f\u7a20\u5bc6\u6a21\u578b\uff0c\u6bd4\u5982 OpenAI \u4ece\u7b2c\u4e00\u4ee3\u5230\u7b2c\u4e09\u4ee3\u5373 GPT-1\u3001 GPT-2\u3001 GPT-3\uff0c\u4ee5\u53ca Meta \u7684 Llama \u7cfb\u5217\u90fd\u662f\u7a20\u5bc6\u6a21\u578b\uff1b\u53ea\u4f7f\u7528\u5176\u4e2d\u4e00\u90e8\u5206\u53c2\u6570\u7684\u662f\u7a00\u758f\u6a21\u578b\uff0c\u6bd4\u5982\u57fa\u4e8e MoE \u67b6\u6784\u7684\u6a21\u578b\uff0c\u800c\u8fd9\u4e9b\u88ab\u4f7f\u7528\u7684\u53c2\u6570\u79f0\u4e3a\u300c\u6fc0\u6d3b\u53c2\u6570\u300d\u3002<\/p>\n

\u5177\u4f53\u4ece\u7f51\u7edc\u7ed3\u6784\u6765\u770b\uff0c\u76ee\u524d\u4e3b\u6d41\u7684\u5927\u6a21\u578b\u5927\u90fd\u662f\u57fa\u4e8e Transformer \u67b6\u6784\uff0c\u7531\u591a\u4e2a Transformer Block \u53e0\u52a0\u7ec4\u6210\uff0c\u5728\u6bcf\u4e00\u4e2a Transformer Block \u5185\u90e8\u90fd\u4f1a\u5305\u62ec\u4e24\u5c42\u7ed3\u6784\uff0c\u4e00\u5c42\u662f\u591a\u5934\u81ea\u6ce8\u610f\u529b\uff08Multi-Head Self-Attention\uff09\uff0c\u53e6\u4e00\u5c42\u662f\u4f4d\u7f6e\u524d\u9988\u795e\u7ecf\u7f51\u7edc\uff08Position-wise Feed-Forward Network\uff0cFFN\uff09\u3002MoE \u505a\u6cd5\u662f\u5bf9 FFN \u5c42\u8fdb\u884c\u6a2a\u5411\u6269\u5c55\uff0c\u5c06\u5176\u4e2d\u7684\u53c2\u6570\u7ec6\u5316\u3001\u7ec4\u7ec7\u6210\u4e00\u4e2a\u53c8\u4e00\u4e2a\u7684\u7ec4\uff0c\u6bcf\u4e2a\u7ec4\u662f\u4e00\u4e2a\u4e13\u5bb6\uff08expert\uff09\u3002<\/p>\n

\u57fa\u4e8e\u6b64\uff0c\u5bf9\u4e8e\u7279\u5b9a\u8f93\u5165\uff0cMoE \u53ea\u9700\u6fc0\u6d3b\u5c11\u6570 expert\uff0c\u8ba9\u5176\u53c2\u6570\u5904\u4e8e\u6fc0\u6d3b\u72b6\u6001\uff0c\u4ece\u800c\u5b9e\u73b0\u7a00\u758f\u6fc0\u6d3b\u3002\u800c\u5177\u4f53\u6fc0\u6d3b\u54ea\u4e9b expert\u3001\u54ea\u90e8\u5206\u53c2\u6570\uff0cMoE \u8fd8\u4f1a\u5f15\u5165\u4e00\u4e2a\u00a0Router\uff08\u95e8\u63a7\u7f51\u7edc\u6216\u8def\u7531\uff09\uff0c\u6839\u636e\u7279\u5b9a\u8f93\u5165\u8fdb\u884c\u52a8\u6001\u9009\u62e9\u3002<\/p>\n

\u53bb\u5e74\u5e74\u5e95\uff0cMistral AI\u00a0\u5f00\u6e90\u4e86\u57fa\u4e8e MoE \u67b6\u6784\u7684\u6a21\u578b Mixtral 8x7B\uff0c\u6027\u80fd\u8868\u73b0\u53ef\u8fbe\u5230\u4e0e GPT-3.5\u3001 Llama2 70B \u76f8\u5ab2\u7f8e\u7684\u7a0b\u5ea6\uff0c\u800c\u63a8\u7406\u65f6\u53ea\u6d88\u8017\u4e86\u4e00\u4e2a 13B \u7ea7\u522b\u7684\u7a20\u5bc6\u6a21\u578b\u8ba1\u7b97\u91cf\u2014\u2014\u8fd9\u4e00\u5ea6\u8ba9\u4e1a\u5185\u4eba\u58eb\u5bf9 MoE \u67b6\u6784\u5728\u5927\u6a21\u578b\u7814\u7a76\u4e2d\u7684\u6f5c\u529b\u5145\u6ee1\u4e86\u60f3\u8c61\u3002<\/p>\n

<\/a><\/p>\n

\u5c45\u7136\u6709\u8fd9\u6837\u4e00\u4e2a\u67b6\u6784\uff0c\u53ef\u4ee5\u8ba9 AI \u6a21\u578b\u5728\u589e\u5927\u53c2\u6570\u89c4\u6a21\u7684\u540c\u65f6\uff0c\u8ba1\u7b97\u6210\u672c\u8fdc\u4f4e\u4e8e\u76f8\u540c\u53c2\u6570\u89c4\u6a21\u7684\u7a20\u5bc6\u6a21\u578b\uff0c\u5b9e\u73b0\u9ad8\u6548\u8bad\u7ec3\u3002\u8fd9\u5728 Scaling Law \u4ecd\u88ab\u5949\u4e3a LLM \u7b2c\u4e00\u6027\u539f\u7406\u7684\u5f53\u4e0b\uff0c\u7b80\u76f4\u662f\u300c\u5927\u529b\u51fa\u5947\u8ff9\u300d\u7684\u4e0d\u4e8c\u5de5\u5177\u3002<\/p>\n

\u7d27\u63a5\u7740\uff0c\u56fd\u5185\u5916\u5927\u6a21\u578b\u4ece\u4e1a\u8005\u76f8\u7ee7\u63a8\u51fa\u57fa\u4e8e MoE \u67b6\u6784\u7684\u5927\u6a21\u578b\uff1a<\/p>\n

\u4eca\u5e74 1 \u6708\uff0cMiniMax\u00a0\u53d1\u5e03\u57fa\u4e8e MoE \u67b6\u6784\u7684\u5927\u8bed\u8a00\u6a21\u578b abab6\uff1b<\/p>\n

2\u6708\uff0c\u6606\u4ed1\u4e07\u7ef4\u6b63\u5f0f\u53d1\u5e03\u65b0\u7248 MoE \u5927\u8bed\u8a00\u6a21\u578b\u300c\u5929\u5de5 2.0\u300d\uff1b<\/p>\n

3\u6708\uff0c\u9a6c\u65af\u514b\u521b\u529e\u7684\u00a0xAI\u00a0\u5ba3\u5e03\u5f00\u6e90\u57fa\u4e8e MoE \u67b6\u6784\u7684\u5927\u6a21\u578b Grok-1\uff0c\u65b0\u664b\u5927\u6a21\u578b\u72ec\u89d2\u517d\u9636\u8dc3\u661f\u8fb0\u53d1\u5e03 Step-2 \u4e07\u4ebf\u53c2\u6570 MoE \u8bed\u8a00\u5927\u6a21\u578b\u9884\u89c8\u7248\uff0c\u963f\u91cc\u901a\u4e49\u5343\u95ee\u56e2\u961f\u5f00\u6e90\u9996\u4e2a MoE \u6a21\u578b\u2014\u2014Qwen1.5-MoE-A2.7B\uff1b<\/p>\n

4\u6708\uff0c\u5143\u8c61\u79d1\u6280\u53d1\u5e03 XVERSE-MoE-A4.2B \u5927\u6a21\u578b\uff0c\u9762\u58c1\u667a\u80fd\u63a8\u51fa MiniCPM-MoE-8x2B MoE \u6a21\u578b\uff1b<\/p>\n

5\u6708\uff0cDeepSeek AI \u5f00\u6e90 MoE \u8bed\u8a00\u6a21\u578b DeepSeek-V2\uff0c\u5728\u4e00\u4e9b\u4efb\u52a1\u8868\u73b0\u4e2d\u6210\u4e3a\u76ee\u524d\u6700\u5f3a\u7684\u5f00\u6e90 MoE \u8bed\u8a00\u6a21\u578b\u2026\u2026<\/p>\n

\u8d8a\u6765\u8d8a\u591a\u7684\u73a9\u5bb6\u5f00\u59cb\u9009\u62e9 MoE\u3002\u4e3a\u6b64\uff0cAI \u79d1\u6280\u8bc4\u8bba\u8d70\u8bbf\u4e86\u591a\u4f4d\u56fd\u5185 MoE \u4e13\u4e1a\u4eba\u5458\u3002\u6211\u4eec\u53d1\u73b0\uff0cMoE \u7684\u672a\u6765\u6216\u5c1a\u672a\u53ef\u77e5\uff0c\u4f46\u5728\u5f53\u4e0b\uff0cMoE \u662f\u5927\u591a\u6570\u4f01\u4e1a\u5728\u5fe0\u4e8e Scaling Law \u8fd9\u4e00\u5b9a\u5f8b\u4e0b\u5fc5\u7136\u8981\u505a\u51fa\u7684\u9009\u62e9\u3002<\/p>\n

1.MoE \u662f\u7b97\u529b\u532e\u4e4f\u7684\u300c\u4ea7\u7269\u300d<\/span><\/strong><\/p>\n<\/p>\n

MoE \u5e76\u975e\u65b0\u751f\u4e8b\u7269\u3002\u4f5c\u4e3a\u4e00\u79cd\u7edf\u8ba1\u5b66\u67b6\u6784\uff0cMoE \u65e9\u5728 1997 \u5e74\u5c31\u88ab\u63d0\u51fa\uff0c\u540e\u6765\uff0c\u968f\u7740\u673a\u5668\u5b66\u4e60\u7b49\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u5174\u8d77\uff0cMoE \u7684\u601d\u60f3\u4e5f\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u7684\u53d1\u5c55\u4e00\u8def\u6f14\u8fdb\uff0c\u57282017\u5e74\u65f6\uff0c\u5c31\u5df2\u7ecf\u6709\u4e13\u5bb6\u5b66\u8005\u5728 LSTM \u6a21\u578b\u4e0a\u8fd0\u7528 MoE \u65b9\u6cd5\u5e76\u53d6\u5f97\u4e86\u6210\u529f\u3002<\/p>\n

\u800c\u610f\u8bc6\u5230 MoE \u53ef\u4ee5\u7528\u4e8e\u5927\u6a21\u578b\u7684\u8bad\u7ec3\uff0c\u5f88\u591a\u4eba\u662f\u4ece\u53bb\u5e74\u5e74\u5e95 Mistral AI \u5f00\u6e90\u4e86\u9996\u4e2a MoE \u67b6\u6784\u6a21\u578b\u5f00\u59cb\u7684\uff0c\u4f46\u5bf9\u4e8e\u5f88\u591a\u7814\u7a76 MoE \u7684\u5b66\u8005\u6765\u8bf4\uff0cMistral AI \u7684\u5f00\u6e90\u66f4\u662f MoE \u7684\u4e00\u6b21\u6210\u529f\u5b9e\u8df5\uff0c\u8ba9\u5927\u5bb6\u5bf9 MoE \u7684\u611f\u77e5\u4ece\u539f\u5148\u7684\u7406\u8bba\u5230\u5b9e\u9645\u6548\u679c\u7684\u8f6c\u53d8\u3002<\/p>\n

\u5b9e\u9645\u65e9\u5728\u53bb\u5e74 6 \u6708\u4efd\uff0c\u5728\u4e00\u6b21\u8bbf\u8c08\u4e2d\uff0c\u5c31\u6709\u4eba\u58f0\u79f0 OpenAI \u7684 GPT-4 \u662f\u4e00\u4e2a 8x220B \u7684 MoE \u6a21\u578b\u3002\u53ea\u4e0d\u8fc7\u5f7c\u65f6\u5927\u6a21\u578b\u5728\u56fd\u5185\u624d\u521a\u521a\u8d77\u6b65\uff0c\u5927\u5bb6\u5bf9\u57fa\u7840\u6a21\u578b\u7684\u8bad\u7ec3\u6280\u672f\u4e0d\u592a\u6210\u719f\uff0c\u5bf9 MoE \u611f\u77e5\u4e0d\u591f\uff0c\u4e00\u9635\u55a7\u54d7\u4e4b\u540e\u8ba8\u8bba\u58f0\u6e10\u6e10\u6d88\u6563\uff0c\u4e0d\u8fc7\u4e5f\u6b63\u662f\u8fd9\u4e00\u6b21\u8ba9\u66f4\u591a\u4e1a\u5185\u4eba\u58eb\u5f00\u59cb\u610f\u8bc6\u5230 MoE \u7684\u4ef7\u503c\u3002<\/p>\n

\u9636\u8dc3\u661f\u8fb0\u7b97\u6cd5\u4e13\u5bb6\u544a\u8bc9\u96f7\u5cf0\u7f51\uff0c\u5f53\u521d\u793e\u533a\u4f20\u8a00 OpenAI \u7684 GPT-4 \u662f MoE \u67b6\u6784\u65f6\uff0c\u4ed6\u4eec\u5e76\u4e0d\u611f\u5230\u610f\u5916\uff0c\u751a\u81f3\u80fd\u6839\u636e\u7ecf\u9a8c\u731c\u6d4b\u5b83\u7684\u5927\u90e8\u5206\u67b6\u6784\u7ec6\u8282\u3002<\/p>\n

\u5143\u8c61XVERSE\u6280\u672f\u5408\u4f19\u4eba\u3001\u5927\u6a21\u578b\u7b97\u6cd5\u8d1f\u8d23\u4eba\u8f69\u6587\u70fd\u4e5f\u8868\u793a\uff0c\u5728\u66f4\u65e9\u4e4b\u524d\uff0c2021 \u5e74\u521d Google \u5728 arXiv\u4e0a \u53d1\u8868\u4e86\u4e00\u7bc7\u8bba\u6587\u300aSwitch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity\u300b\u540e\uff0c\u4ed6\u4eec\u5c31\u5f00\u59cb\u4e86\u89e3\u5230 MoE\uff0c\u540c\u5e74\u56fd\u5185\u7684\u963f\u91cc\u6b63\u5728\u7814\u53d1 M6 \u6a21\u578b\uff0c\u5728\u8fd9\u65b9\u9762\u4e5f\u6709\u8ddf\u8fdb\u3002\u300c\u800c Mistral AI \u7684\u5f00\u6e90\uff0c\u76f4\u63a5\u8ba9\u5b83\u7684\u5b9e\u9645\u6548\u679c\u5448\u73b0\u5f97\u66f4\u660e\u663e\uff0c\u4e4b\u540e\uff0c\u53bb\u5e74 12 \u6708\u5143\u8c61XVERSE\u5f00\u59cb\u7b56\u5212\u8bad\u7ec3 MoE \u5927\u6a21\u578b\u3002\u300d<\/p>\n

\u8bda\u7136\uff0cMoE \u4f5c\u4e3a\u4e00\u79cd\u6a21\u5757\u5316\u7684\u7a00\u758f\u6fc0\u6d3b\uff0c\u53ef\u4ee5\u5728\u6a21\u578b\u603b\u53c2\u6570\u91cf\u4e0d\u53d8\u7684\u60c5\u51b5\u4e0b\uff0c\u5927\u5e45\u964d\u4f4e\u8ba1\u7b97\u603b\u91cf\uff0c\u9ad8\u6548\u8ba1\u7b97\u3001\u964d\u4f4e\u6210\u672c\u3002\u8fd9\u662f MoE \u6700\u4e3a\u663e\u8457\u7684\u4f18\u52bf\uff0c\u4e5f\u662f\u4e3a\u4ec0\u4e48\u5b83\u4f5c\u4e3a\u4e00\u4e2a\u5e76\u4e0d\u300c\u65b0\u9c9c\u300d\u7684\u6280\u672f\u53c8\u5728\u6b64\u65f6\u6b64\u523b\u91cd\u65b0\u7115\u53d1\u6d3b\u529b\u7684\u539f\u56e0\u6240\u5728\u3002<\/p>\n

\u73b0\u5728\u7684\u5927\u6a21\u578b\u8d8a\u6765\u8d8a\u5927\u4e86\u3002Scaling Law \u5e26\u6765\u7684\u542f\u793a\u662f\u6a21\u578b\u8d8a\u5927\uff0c\u6027\u80fd\u8d8a\u5f3a\uff0c\u53ef\u662f\u6a21\u578b\u8fed\u4ee3\u79bb\u4e0d\u5f00\u9ad8\u6548\u7684\u7b97\u529b\u652f\u6301\uff0c\u800c\u7b97\u529b\u7684\u4e0d\u8db3\u548c\u532e\u4e4f\uff0c\u884c\u4e1a\u5468\u77e5\u3002<\/p>\n

\u7a00\u758f\u5316\u5305\u62ec MoE \u6280\u672f\u4e3a\u8fd9\u4e00\u95ee\u9898\u63d0\u4f9b\u4e86\u89e3\u6cd5\u2014\u2014\u5b83\u53ef\u4ee5\u589e\u5927\u6a21\u578b\u7684\u53c2\u6570\u89c4\u6a21\uff0c\u4f46\u662f\u5b83\u7684\u8ba1\u7b97\u6210\u672c\u53c8\u8981\u8fdc\u4f4e\u4e8e\u76f8\u540c\u53c2\u6570\u89c4\u6a21\u7684\u7a20\u5bc6\u6a21\u578b\u3002<\/p>\n

\u9762\u58c1\u667a\u80fd\u7814\u7a76\u5458\u5b8b\u6668\u9633\u544a\u8bc9\u96f7\u5cf0\u7f51\uff0c\u5728\u76ee\u524d\u7b97\u529b\uff0c\u7279\u522b\u662f\u56fd\u5185\u7b97\u529b\u666e\u904d\u6bd4\u8f83\u6709\u9650\u7684\u60c5\u51b5\u4e0b\uff0cMoE \u67b6\u6784\u662f\u4e00\u4e2a\u5fc5\u7136\u7684\u8d8b\u52bf\u548c\u9009\u62e9\u3002<\/p>\n

\u9762\u58c1\u667a\u80fd\u4e0e MoE \u6e0a\u6e90\u9887\u6df1\u3002\u65e9\u5728 2021 \u5e74 6 \u6708\uff0c\u6e05\u534e\u5927\u5b66\u5218\u77e5\u8fdc\u6559\u6388\u7275\u5934\u7684\u300c\u609f\u9053\u00b7\u6587\u6e90\u300d\u5c31\u53d1\u5e03\u4e86\u5343\u4ebf MoE \u5927\u6a21\u578b CPM-2 \uff0c\u662f\u56fd\u5185\u6700\u65e9\u5173\u6ce8\u5230\u8fd9\u4e00\u95ee\u9898\u7684 AI \u56e2\u961f\u4e4b\u4e00\uff0c\u800c\u5176\u4e2d\u7684\u53c2\u4e0e\u6210\u5458\u5c31\u5305\u62ec\u9762\u58c1\u667a\u80fd\u7684\u521d\u59cb\u56e2\u961f\u3002\u56e0\u7740\u8fd9\u4e00\u81ea\u5e26\u7684\u57fa\u56e0\uff0c\u9762\u58c1\u667a\u80fd\u4e00\u76f4\u5728\u5173\u6ce8\u548c\u7814\u7a76 MoE \u548c\u7a00\u758f\u5316\u3002<\/p>\n

<\/a><\/p>\n

\u540c\u6837\u575a\u4fe1 Scaling Law \u7684\u9636\u8dc3\u661f\u8fb0\u5728\u5b8c\u6210\u5343\u4ebf\u6a21\u578b\u7684\u8bad\u7ec3\u540e\uff0c\u5f00\u59cb\u8bad\u7ec3\u4e07\u4ebf\u6a21\u578b\u3002\u800c\u60f3\u628a\u6a21\u578b\u53c2\u6570\u6269\u5927\u5230\u4e07\u4ebf\uff0cMoE \u662f\u5728\u6027\u80fd\u3001\u53c2\u6570\u91cf\u3001\u8bad\u7ec3\u6210\u672c\u3001\u63a8\u7406\u6210\u672c\u8fd9\u4e9b\u7ef4\u5ea6\u6743\u8861\u4e0b\u7684\u6700\u4f73\u9009\u62e9\u3002<\/p>\n

\u5177\u4f53\u6765\u770b\uff0cMoE \u6a21\u578b\u7684\u4f18\u52bf\u4e3b\u8981\u4f53\u73b0\u4e3a\u4e13\u5bb6\u5316\u3001\u52a8\u6001\u5316\u3001\u7a00\u758f\u5316\u3002<\/p>\n

\u4e00\u662f\u5177\u6709\u66f4\u5f3a\u7684\u8868\u73b0\u529b\uff1aMoE \u67b6\u6784\u878d\u5408\u591a\u4e2a\u5404\u6709\u6240\u957f\u7684\u4e13\u5bb6\u6a21\u578b\uff0c\u65e2\u6709\u5206\u5de5\uff0c\u53c8\u6709\u5408\u4f5c\uff0c\u80fd\u591f\u52a8\u6001\u5730\u9002\u5e94\u4e0d\u540c\u8f93\u5165\u6837\u672c\u7684\u7279\u70b9\uff0c\u63d0\u9ad8\u6a21\u578b\u7684\u8868\u8fbe\u80fd\u529b\u3002<\/p>\n

\u4e8c\u662f\u8bad\u7ec3\u548c\u63a8\u7406\u901f\u5ea6\u66f4\u5feb\uff1a\u76f8\u6bd4\u4e8e\u540c\u53c2\u6570\u7684\u7a20\u5bc6\u6a21\u578b\u67b6\u6784\uff0cMoE \u662f\u7a00\u758f\u7684\uff0c\u8bad\u7ec3\u7684\u65f6\u5019\u8ba1\u7b97\u91cf\u66f4\u5c0f\uff0c\u63a8\u7406\u7684\u65f6\u5019\u540c\u65f6\u6fc0\u6d3b\u7684\u53c2\u6570\u91cf\u66f4\u5c0f\uff0c\u56e0\u6b64\u80fd\u591f\u66f4\u9ad8\u6548\u5730\u5229\u7528\u8ba1\u7b97\u8d44\u6e90\u3002<\/p>\n<\/p>\n

2.\u8def\u5f84\u6289\u62e9\u4e0d\u4e00<\/span><\/strong><\/p>\n<\/p>\n

\u76ee\u524d\uff0c\u5e02\u573a\u4e0a\u9009\u62e9 MoE \u67b6\u6784\u7684\u5927\u6a21\u578b\u5382\u5546\u8d8a\u6765\u8d8a\u591a\uff0c\u5927\u5bb6\u505a\u5f97\u4e5f\u90fd\u5927\u540c\u5c0f\u5f02\uff0c\u4f46\u5728\u67b6\u6784\u7ec6\u8282\u4e0a\u8fd8\u6709\u5f88\u591a\u503c\u5f97\u7422\u78e8\u7684\u5730\u65b9\uff0c\u4e1a\u754c\u4e5f\u6ca1\u6709\u8fbe\u6210\u5171\u8bc6\uff0c\u6bd4\u5982\u603b\u5171\u9700\u8981\u591a\u5c11\u4e2a expert\uff082\u4e2a\u5230128\u4e2a\uff09\u3001\u9009\u62e9\u6fc0\u6d3b\u591a\u5c11\u4e2a expert\u3001\u9700\u4e0d\u9700\u8981\u6709\u56fa\u5b9a\u5171\u4eab expert\u3001\u9009\u62e9 expert \u7684\u65f6\u5019\u8be5\u600e\u4e48\u505a\u5747\u8861\u7b49\uff0c\u5404\u5bb6\u90fd\u4f1a\u4e0d\u592a\u4e00\u6837\u3002<\/p>\n

\u4e00\u822c\u6765\u8bf4\uff0c\u73b0\u5728\u7684 MoE \u8def\u5f84\u9009\u62e9\u4e3b\u8981\u5206\u4e3a\u4e24\u79cd\u2014\u2014\u57fa\u4e8e\u4e00\u4e2a\u5df2\u6709\u6a21\u578b\u5f00\u59cb\u8bad\u7ec3\uff0c\u8fd8\u662f\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\u3002<\/p>\n

\u57fa\u4e8e\u5df2\u6709\u6a21\u578b\u5f00\u59cb\u8bad\u7ec3\uff0c\u662f\u901a\u8fc7\u4e00\u4e2a\u4f17\u6240\u5468\u77e5\u7684\u53d6\u5de7\u65b9\u6848\u2014\u2014upcycle\uff08\u5411\u4e0a\u590d\u7528\uff09\u8fdb\u884c\u7684\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u662f\u5c06\u4e00\u4e2a\u5df2\u7ecf\u8bad\u7ec3\u597d\u7684\u5927\u6a21\u578b\u7684\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u6743\u91cd\u590d\u5236\u82e5\u5e72\u4efd\uff0c\u6bcf\u4e00\u4efd\u4f5c\u4e3a\u4e00\u4e2a expert\uff0c\u7136\u540e\u7ec4\u5408\u5728\u4e00\u8d77\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u628a\u4e00\u4e2a\u975e MoE \u6a21\u578b\u53d8\u6210\u4e00\u4e2a MoE \u6a21\u578b\uff0c\u53c2\u6570\u91cf\u5f88\u5feb\u5c31\u80fd\u53d8\u5f97\u7279\u522b\u5927\uff0c\u4f46\u7b97\u529b\u9700\u6c42\u4f1a\u5c0f\u51e0\u4e2a\u91cf\u7ea7\u3002<\/p>\n

\u5b8b\u6668\u9633\u544a\u8bc9\u96f7\u5cf0\u7f51\uff0c\u300c\u8fd9\u79cd\u65b9\u6cd5\u7684\u6700\u5927\u4f18\u52bf\u5728\u4e8e\u53ef\u4ee5\u8282\u7701\u5f88\u591a\u6210\u672c\uff0c\u56e0\u4e3a\u521d\u59cb\u6a21\u578b\u5c31\u6709\u5f88\u591a\u77e5\u8bc6\u3002\u300d\u4f46\u540c\u65f6\uff0c\u8fd9\u6837\u4e5f\u5b58\u5728\u5f88\u5927\u7684\u5f0a\u7aef\uff0c\u6bd4\u5982\u57fa\u4e8e\u62f7\u8d1d\u590d\u5236\u5f97\u5230\u7684 MoE \u6a21\u578b\uff0cexpert \u4e4b\u95f4\u4f1a\u6709\u5f88\u591a\u77e5\u8bc6\u91cd\u53e0\uff0c\u6743\u91cd\u3001\u53c2\u6570\u7684\u5197\u4f59\u5bfc\u81f4\u5bf9\u5404 expert \u7684\u652f\u6301\u662f\u91cd\u53e0\u7684\uff0c\u5982\u679c\u505a\u5f97\u4e0d\u597d\uff0c\u5c31\u4e0d\u80fd\u5145\u5206\u53d1\u6325 MoE \u67b6\u6784\u7684\u6f5c\u529b\uff0c\u662f\u4e00\u4e2a\u5f88\u5177\u8003\u9a8c\u6027\u7684\u8def\u5f84\u3002<\/p>\n

\u90a3\u5982\u679c\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\u7684\u8bdd\uff0c\u867d\u7136\u8bad\u7ec3\u8d77\u6765\u4f1a\u66f4\u96be\uff0c\u4f46\u4e0a\u8ff0\u95ee\u9898\u4f1a\u6709\u6240\u7f13\u89e3\uff0c\u4e14\u5b83\u7684\u81ea\u7531\u5ea6\u66f4\u9ad8\uff0c\u907f\u514d\u4f20\u7edf MoE \u67b6\u6784\u6a21\u578b\u7684\u6f5c\u5728\u95ee\u9898\uff0c\u4e89\u53d6\u8fbe\u5230 MoE \u67b6\u6784\u6a21\u578b\u7684\u4e0a\u9650\u3002<\/p>\n

\u76ee\u524d\uff0c\u5927\u591a\u6570\u5382\u5546\u9009\u62e9\u7684\u662f\u57fa\u4e8e\u5df2\u6709\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\uff0c\u50cf\u662f Mistral AI \u7684 Mixtral \u7cfb\u5217\u6a21\u578b\u3001\u5343\u95ee\u7684 MoE \u6a21\u578b Qwen1.5-MoE-A2.7B\u3001\u9762\u58c1\u667a\u80fd\u7684 MiniCPM-MoE-8x2B \u7b49\u3002\u800c\u4ece\u8bba\u6587\u6765\u770b\uff0cDeepSeek \u9009\u62e9\u7684\u662f\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\uff0c\u524d\u6bb5\u65f6\u95f4 DeepSeek-V2 \u4e00\u7ecf\u5f00\u6e90\u53d1\u5e03\uff0c\u5f15\u8d77\u4e86\u975e\u5e38\u5927\u7684\u53cd\u54cd\u3002<\/p>\n

\u9636\u8dc3\u661f\u8fb0\u7684\u505a\u6cd5\u662f\uff0c\u4e00\u65b9\u9762\u9009\u62e9\u5b8c\u5168\u4ece\u5934\u5f00\u59cb\u8bad\u7ec3\uff0c\u4fdd\u6301\u4e07\u4ebf\u53c2\u6570\u5728\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u90fd\u4e0d\u53d8\uff0c\u5145\u5206\u53d1\u6325 MoE \u67b6\u6784\u7684\u6f5c\u529b\uff0c\u53e6\u4e00\u65b9\u9762\u5728\u524d\u671f\u505a\u597d\u51c6\u5907\u5de5\u4f5c\uff0c\u4ece\u4f17\u591a\u65b9\u6848\u4e2d\u9009\u62e9\u66f4\u4e3a\u9760\u8c31\u7684\u67b6\u6784\u914d\u7f6e\u3002<\/p>\n

\u9664\u6b64\u4e4b\u5916\uff0c\u8fd8\u6709\u4e00\u4e2a\u5927\u5bb6\u4f1a\u6709\u5206\u6b67\u7684\u95ee\u9898\uff0c\u5c31\u662f MoE \u67b6\u6784\u7684 expert \u7684\u529b\u5ea6\u5e94\u8be5\u662f\u7c97\u8fd8\u662f\u7ec6\uff1f\u4ee5\u53ca\u5e94\u4e0d\u5e94\u8be5\u6709\u56fa\u5b9a\u5171\u4eab expert\uff1f<\/p>\n

\u4e3e\u4f8b\u6765\u8bf4\uff0cMistrial AI \u7684 8x7B \u662f\u4e00\u4e2a\u7ecf\u5178\u7684 MoE \u67b6\u6784\uff0c\u6709 8 \u4e2a expert \uff0c\u6bcf\u4e2a expert \u90fd\u662f\u5b8c\u5168\u4e00\u6837\u7684\u5f62\u72b6\uff0c\u7136\u540e\u7528 router \u7f51\u7edc\u53bb\u4ece 8 \u4e2a expert \u91cc\u9762\u9009\u62e9 2 \u4e2a expert\u3002\u4f46\u662f\u5343\u95ee\u548c DeepSeek \u91c7\u7528\u4e86\u4e0d\u540c\u7684\u505a\u6cd5\uff0c\u7279\u522b\u662f DeepSeek \u628a expert \u7684\u7c92\u5ea6\u5207\u5f97\u66f4\u7ec6\uff0c\u540c\u65f6\u8fd8\u5f15\u5165\u5171\u4eab expert\u3002<\/p>\n

<\/a><\/p>\n

\u6362\u53e5\u8bdd\u8bf4\uff0c\u597d\u6bd4\u539f\u672c\u662f\u4ece 8 \u4e2a expert \u4e2d\u53ea\u80fd\u9009 2 \u4e2a\uff0c\u90a3\u7ec4\u5408\u6570\u4e3a C8 2\uff0c\u4f46\u662f\u5982\u679c\u628a\u8fd9 8 \u4e2a expert \u6bcf\u4e2a\u518d\u5206\u522b\u5207\u6210 8 \u4e2a\uff0c\u5c31\u5f97\u5230 64 \u4e2a expert\uff0c\u7136\u540e\u4ece 64 \u4e2a expert \u4e2d\u53bb\u9009\u62e9 8 \u4e2a\uff0c\u7ec4\u5408\u6570\u5c31\u8fbe\u5230\u4e86 C64 8\u3002\u8fd9\u6837\u4e00\u6765\uff0c\u6a21\u578b\u53ef\u9009\u62e9\u7684\u7ec4\u5408\u5927\u5927\u589e\u591a\uff0c\u6a21\u578b\u7684\u8868\u8fbe\u80fd\u529b\u4e5f\u5c31\u4f1a\u6709\u6240\u589e\u5f3a\u3002<\/p>\n

\u5b8b\u6668\u9633\u8ba4\u4e3a\uff0c\u8fd9\u662f DeepSeek MoE \u6a21\u578b\u7684\u4e00\u5927\u521b\u65b0\u4e4b\u5904\u3002<\/p>\n

\u5bf9\u6b64\uff0c\u8f69\u6587\u70fd\u4e5f\u544a\u8bc9\u96f7\u5cf0\u7f51(\u516c\u4f17\u53f7\uff1a\u96f7\u5cf0\u7f51)<\/span>\uff0c\u5728 expert \u7684\u9009\u62e9\u4e0a\uff0c\u5143\u8c61XVERSE \u4e5f\u6ca1\u6709\u4f7f\u7528\u4f20\u7edf\u7684 MoE \u67b6\u6784\u505a\u6cd5\u2014\u2014\u7c7b Mistral AI \u7684\u9009\u62e9\uff0c\u6bcf\u4e2a expert \u7b49\u540c\u4e8e\u6807\u51c6\u7684 FFN\u2014\u2014\u800c\u662f\u7528\u4e86\u4e00\u4e9b\u66f4\u7ec6\u9897\u7c92\u5ea6\u7684\u65b9\u6cd5\uff0c\u5c06 expert \u7684\u8bbe\u8ba1\u8bbe\u7f6e\u4e3a\u6807\u51c6 FFN \u7684 1\/ 4\uff0c\u800c\u4e4b\u6240\u4ee5\u505a\u51fa\u8fd9\u4e2a\u9009\u62e9\uff0c\u662f\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u6839\u636e\u591a\u6b21\u5b9e\u9a8c\u9884\u6d4b\u7ed3\u679c\u5f97\u51fa\u7684\u7ed3\u8bba\uff0c\u53e6\u5916\u4ed6\u4eec\u4e5f\u5728\u5bc6\u5207\u5173\u6ce8\u76ee\u524d\u4e1a\u754c\u7684 FFN \u7684\u914d\u6bd4\u65b9\u6848\u3002<\/p>\n

\u53e6\u5916\uff0cDeepSeek \u8fd8\u5f15\u5165\u4e86\u5171\u4eab expert\uff0c\u524d\u9762\u63d0\u5230\uff0c\u5982\u679c\u50cf Mistral AI \u90a3\u6837\u4ece\u4e00\u4e2a\u5df2\u6709\u7684\u7a20\u5bc6\u6a21\u578b\u57fa\u4e8e upcycle\uff0c\u5f97\u5230\u7684 MoE \u6a21\u578b\u5b58\u5728\u4e00\u4e2a\u95ee\u9898\uff0c\u5373\u6bcf\u4e2a expert \u5728\u521d\u59cb\u5316\u7684\u65f6\u5019\u5b8c\u5168\u4e00\u6837\uff0c\u5f7c\u6b64\u4e4b\u95f4\u4e0d\u53ef\u907f\u514d\u4f1a\u6709\u5f88\u591a\u77e5\u8bc6\u7684\u91cd\u53e0\uff0c\u6700\u540e\u53c2\u6570\u5c06\u662f\u5197\u4f59\u7684\u3002\u800c DeepSeek \u7684\u7b56\u7565\u662f\u628a\u6bcf\u4e2a expert \u91cd\u53e0\u7684\u77e5\u8bc6\u7528\u5171\u4eab expert \u5355\u72ec\u62ff\u51fa\u6765\u8868\u793a\uff0c\u5171\u4eab expert \u5bf9\u4e8e\u6bcf\u4e00\u4e2a\u7ed9\u5b9a\u7684\u8f93\u5165 token \u4e0d\u7ecf\u8fc7 router \u7f51\u7edc\u76f4\u63a5\u56fa\u5b9a\u6fc0\u6d3b\uff0c\u7136\u540e\u518d\u5bf9\u5176\u4ed6\u5269\u4e0b\u4e0d\u5171\u4eab\u7684 expert \u4e2d\uff0c\u7528 router \u7f51\u7edc\u53bb\u9009\u62e9\u8981\u6fc0\u6d3b\u7684\u90e8\u5206\u3002<\/p>\n

\u57fa\u4e8e\u6b64\uff0c\u5b8b\u6668\u9633\u8ba4\u4e3a\uff0c\u76ee\u524d\u5e02\u9762\u4e0a\u7684 MoE \u6a21\u578b\u53c8\u5206\u4e3a\u4e24\u4e2a\u6d41\u6d3e\uff0c\u4e00\u79cd\u5c31\u662f\u7c7b\u4f3c Mistrial AI\u7684\u4f20\u7edf MoE \u6d41\u6d3e\uff0c\u8fd8\u53e6\u5916\u5c31\u662f\u5343\u95ee\u548c DeepSeek MoE \u8fd9\u79cd expert \u5207\u5206\u66f4\u7ec6\u3001\u8bbe\u7f6e\u5171\u4eab expert \u7684\u67b6\u6784\u3002<\/p>\n

\u81f3\u4e8e\u54ea\u79cd\u4f1a\u6210\u4e3a\u4e3b\u6d41\uff0c\u5176\u5b9e\u5e76\u6ca1\u6709\u5177\u4f53\u7684\u7b54\u6848\uff0c\u56e0\u4e3a\u4e00\u4e2a\u6a21\u578b\u6700\u540e\u8868\u73b0\u6709\u591a\u597d\uff0c\u67b6\u6784\u8fd8\u771f\u4e0d\u4e00\u5b9a\u662f\u6700\u91cd\u8981\u7684\u4e8b\u60c5\uff0c\u5f71\u54cd\u56e0\u7d20\u5f88\u591a\uff0c\u6bd4\u5982\u6570\u636e\uff0c\u5305\u62ec\u54ea\u4e9b\u7c7b\u578b\u7684\u6570\u636e\u3001\u6570\u636e\u5982\u4f55\u6e05\u6d17\u3001\u5982\u4f55\u914d\u6bd4\u7ec4\u7ec7\uff0c\u4ee5\u53ca\u6700\u7ec8\u8bad\u7ec3\u65f6\uff0c\u539f\u59cb\u6570\u636e\u5982\u4f55\u5207\u5206\u6210\u4e00\u4e2a\u53c8\u4e00\u4e2a\u7684 token\uff0c\u7b49\u7b49\u3002\u4e0d\u540c\u7684\u9009\u62e9\u90fd\u5c06\u901a\u5f80\u4e0d\u540c\u7684\u7b54\u6848\u3002<\/p>\n

\u5f53\u524d\uff0c\u9762\u58c1\u667a\u80fd\u7684 MiniCPM-MoE-8x2B \u91c7\u7528\u7684\u662f\u7c7b\u4f3c Mistral AI \u7684\u6a21\u578b\u67b6\u6784\u3002\u8003\u8651\u5230\u672a\u6765\u9762\u58c1\u667a\u80fd\u7684\u6700\u7ec8\u76ee\u6807\u662f\u8981\u5c06\u7aef\u4fa7\u6a21\u578b\u505a\u5230\u6781\u81f4\uff0c\u9001\u5230\u6bcf\u4e00\u90e8\u624b\u673a\u3001\u6bcf\u4e00\u4e2a\u7528\u6237\u624b\u4e0a\u3002\u6240\u4ee5\uff0c\u5f53\u4e0b\u4ed6\u4eec\u4e5f\u5728\u8ba8\u8bba\uff0c\u5305\u62ec\u505a\u4e00\u4e9b\u5b9e\u9a8c\uff0c\u6765\u51b3\u5b9a\u8bbe\u8ba1\u600e\u6837\u66f4\u9002\u5408\u52a0\u901f\u7684 MoE \u67b6\u6784\uff0c\u4ece\u800c\u505a\u51fa\u6700\u7ec8\u8def\u5f84\u9009\u62e9\u3002<\/p>\n<\/p>\n

3.MoE\u300c\u7ec8\u7a76\u662f\u4e00\u95e8\u59a5\u534f\u7684\u827a\u672f\u300d<\/span><\/strong><\/p>\n<\/p>\n

\u5f53\u524d\uff0c\u968f\u7740\u5165\u5c40\u73a9\u5bb6\u7684\u589e\u591a\uff0cMoE \u4f3c\u4e4e\u6b63\u9010\u6e10\u6210\u4e3a\u4e00\u79cd\u884c\u4e1a\u5171\u8bc6\uff0c\u90a3\u4e48\uff0cMoE \u4f1a\u662f\u672a\u6765 AI \u7684\u65b9\u5411\u5417\uff1f<\/p>\n

\u5bf9\u6b64\uff0c\u4f17\u8bf4\u7eb7\u7ead\uff0c\u4fe1\u5949\u5b83\u7684\u4eba\u8ba4\u4e3a\uff0c\u5b83\u53ef\u4ee5\u5b9e\u73b0\u540c\u7b49\u53c2\u6570\u89c4\u6a21\u4e0b\u7b97\u529b\u7684\u5927\u5e45\u964d\u4f4e\uff0c\u5728 Scaling Law \u4ecd\u672a\u5931\u6548\u7684\u5f53\u4e0b\uff0c\u65e0\u7591\u662f\u6700\u4f18\u89e3\u3002<\/p>\n

\u4f46\u4e0d\u770b\u597d\u7684\u4e5f\u5927\u6709\u4eba\u5728\u3002<\/p>\n

\u4eca\u5e74 4 \u6708\u5e95\uff0cMeta \u5b98\u5ba3\u4e86 Llama 3\uff0c\u603b\u5171\u6709\u4e09\u4e2a\u7248\u672c\u2014\u20148B\u300170B \u548c 400B+\u3002\u5176\u4e2d\uff0c8B \u548c 70B \u7248\u672c\u5df2\u7ecf\u5f00\u6e90\uff0c\u800c 400B+ \u7248\u672c\u4ecd\u5728\u8bad\u7ec3\u4e2d\u3002CEO \u624e\u514b\u4f2f\u683c\u5728\u8bbf\u8c08\u63d0\u5230\uff0cLlama 3 400B+ \u5c06\u662f\u4e00\u4e2a\u7a20\u5bc6\u6a21\u578b\u3002\u9762\u5bf9\u5982\u6b64\u5927\u7684\u53c2\u6570\u91cf\uff0c\u4ecd\u7136\u9009\u62e9\u7a20\u5bc6\u6a21\u578b\uff0c\u6216\u8bb8\u8868\u660e\uff0cMeta \u4e0d\u76f8\u4fe1\u7a00\u758f\u5316\uff0c\u300c\u62d2\u7edd\u300d\u4e86 MoE \u67b6\u6784\u3002<\/p>\n

\u5176\u5b9e\uff0c\u5373\u4fbf\u662f\u90a3\u4e9b\u9009\u62e9\u4e86 MoE \u67b6\u6784\u7684\u73a9\u5bb6\uff0c\u4e5f\u4e0d\u5f97\u4e0d\u627f\u8ba4\uff0c\u867d\u7136\u6709\u7740\u9ad8\u6548\u8bad\u7ec3\u3001\u7075\u6d3b\u6027\u548c\u53ef\u89e3\u91ca\u6027\u7684\u4f18\u70b9\uff0cMoE \u7684\u5c40\u9650\u6027\u4ecd\u7136\u660e\u663e\uff0c\u662f\u300c\u4e00\u95e8\u59a5\u534f\u7684\u827a\u672f\u300d\u3002<\/p>\n

\u5b8b\u6668\u9633\u8868\u793a\uff0cMoE \u7684\u597d\u5904\u5728\u4e8e\u7b97\u529b\u6709\u9650\u7684\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u5b9e\u73b0\u540c\u7b49\u53c2\u6570\u89c4\u6a21\u4e0b\uff0c\u8ba1\u7b97\u91cf\u7684\u5927\u5e45\u964d\u4f4e\u3002\u4f46\u5982\u679c\u6709\u8db3\u591f\u7684\u7b97\u529b\uff0c\u8bad\u7ec3\u4e00\u4e2a MoE \u6a21\u578b\u548c\u540c\u7b49\u53c2\u6570\u91cf\u7684\u7a20\u5bc6\u6a21\u578b\uff0c\u5c31\u6027\u80fd\u6765\u8bf4\uff0c\u4e00\u5b9a\u662f\u7a20\u5bc6\u6a21\u578b\u66f4\u597d\u3002<\/p>\n

\u4e5f\u5c31\u662f\u8bf4\uff0c\u540c\u7b49\u53c2\u6570\u89c4\u6a21\u4e0b\uff0c\u7a20\u5bc6\u6a21\u578b\u7684\u8868\u73b0\u8981\u4f18\u80dc\u4e8e MoE \u6a21\u578b\u3002\u8fd9\u662f\u56e0\u4e3a\uff0c\u672c\u8d28\u4e0a FFN \u7684\u8868\u8fbe\u80fd\u529b\u662f\u4e0d\u53d7\u9650\u7684\uff0c\u4f46 MoE \u6a21\u578b\u4e3a\u4e86\u7a00\u758f\u6fc0\u6d3b\uff0c\u5f3a\u884c\u89c4\u5b9a\u53ea\u80fd\u6fc0\u6d3b\u88ab\u5207\u7ec6\u540e\u7684\u4e00\u90e8\u5206 FFN\uff0c\u76f8\u5f53\u4e8e\u628a\u6a21\u578b\u7684\u6574\u4e2a\u53ef\u8868\u793a\u7a7a\u95f4\u7ed9\u7f29\u5c0f\u4e86\u3002<\/p>\n

\u53e6\u5916\uff0c\u65e0\u8bba\u662f MoE \u8fd8\u662f\u6574\u4e2a\u7a00\u758f\u5316\uff0c\u90fd\u6709\u4e00\u4e2a\u300c\u81f4\u547d\u300d\u95ee\u9898\uff0c\u5c31\u662f\u76ee\u524d\u5e76\u6ca1\u6709\u4e00\u4e2a\u7279\u522b\u6709\u6548\u7684\u65b9\u6cd5\u80fd\u591f\u964d\u4f4e\u5b83\u4eec\u7684\u5b58\u50a8\u6d88\u8017\u3002\u6bd4\u5982\u5bf9\u4e8e\u4e00\u4e2a 7B \u6a21\u578b\u6765\u8bf4\uff0c\u53ef\u4ee5\u628a\u5b83\u505a\u6210\u7a00\u758f\u67b6\u6784\uff0c\u4f7f\u5176\u8ba1\u7b97\u91cf\u5c0f\u4e8e 7B\uff0c\u4f46\u5b83\u7684\u5185\u5b58\u6d88\u8017\u8fd8\u662f\u4e00\u4e2a 7B \u7684\u89c4\u6a21\uff0c\u8fd9\u4f1a\u5bfc\u81f4\u5728\u5b9e\u9645\u5c06\u5176\u90e8\u7f72\u5728\u7aef\u4fa7\u7684\u65f6\u5019\uff0c\u51fa\u73b0\u95ee\u9898\u3002<\/p>\n

\u8f69\u6587\u70fd\u4e5f\u8868\u793a\uff0cMoE \u73b0\u5728\u7684\u9ad8\u6548\u8bad\u7ec3\u7b49\u4f18\u52bf\u5176\u5b9e\u5c31\u662f\u901a\u8fc7\u663e\u5b58\u6362\u6548\u679c\u3002\u867d\u7136 MoE \u4e0d\u50cf\u7a20\u5bc6\u6a21\u578b\u90a3\u6837\uff0c\u53c2\u6570\u589e\u5927\u540e\u8bad\u7ec3\u3001\u63a8\u7406\u6210\u672c\u90fd\u4f1a\u663e\u8457\u589e\u52a0\uff0c\u4f46\u5bf9\u4e8e\u4e00\u4e2a\u7528 4.2B \u7684\u6fc0\u6d3b\u53c2\u6570\u91cf\u8fbe\u5230 13B \u6548\u679c\u7684 MoE \u6a21\u578b\u6765\u8bf4\uff0c\u63a8\u7406\u6210\u672c\u662f\u4f4e\u4e86\u4e9b\uff0c\u4f46\u662f\u663e\u5b58\u7684\u5360\u7528\u5e76\u6ca1\u6709\u53d8\u5316\u3002<\/p>\n

\u56e0\u6b64\uff0c\u300c\u5982\u4f55\u4f18\u5316\u663e\u5b58\u65b9\u9762\u7684\u95ee\u9898\uff0c\u540c\u65f6\u4fdd\u6301\u5b83\u8fd9\u79cd\u83b7\u5f97\u66f4\u9ad8\u6548\u679c\u7684\u6027\u4ef7\u6bd4\uff0c\u53ef\u80fd\u662f\u9700\u8981\u884c\u4e1a\u53bb\u7814\u7a76\u7684\u3002\u300d<\/p>\n

\u53e6\u5916\uff0c\u4e00\u4f4d\u4ece\u4e8b MoE \u6a21\u578b\u8bad\u7ec3\u7684\u7814\u7a76\u5458\u4e5f\u611f\u6168\uff0c\u5728\u5b9e\u9645\u8bad\u7ec3\u4e2d\uff0cMoE \u67b6\u6784\u6a21\u578b\u786e\u5b9e\u5b58\u5728\u4e00\u4e9b\u6311\u6218\u3002<\/p>\n

\u6bd4\u5982\uff0c\u8bad\u7ec3\u548c\u63a8\u7406\u96be\u5ea6\u5927\uff0c\u4e07\u4ebf\u7684 MoE \u67b6\u6784\u9700\u8981\u5c06\u5404\u4e13\u5bb6\u653e\u5728\u4e0d\u540c\u7684\u8ba1\u7b97\u8282\u70b9\u4e0a\uff0c\u4f1a\u5f15\u5165\u989d\u5916\u7684\u5e76\u884c\u7ef4\u5ea6\u548c\u7f51\u7edc\u901a\u4fe1\uff0c\u4e13\u5bb6\u4e4b\u95f4\u7684\u4e0d\u5e73\u8861\u6027\u4f1a\u62d6\u7d2f\u6574\u4e2a\u7cfb\u7edf\u7684\u8bad\u7ec3\u3001\u63a8\u7406\u6548\u7387\uff0c\u6781\u7aef\u60c5\u51b5\u4e0b\u53ef\u80fd\u4f1a\u6d6a\u8d39 50% \u4ee5\u4e0a\u7684\u96c6\u7fa4\u7b97\u529b\uff1b\u53c2\u6570\u5229\u7528\u7387\u4e0d\u9ad8\uff0c\u6bcf\u4e2a\u4e13\u5bb6\u90fd\u5fc5\u987b\u6210\u4e3a\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7684\u300c\u901a\u624d\u300d\uff0c\u6d88\u8017\u5f88\u591a\u7684\u53c2\u6570\u91cf\u5b66\u4e60\u5171\u6709\u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u5728\u6b64\u57fa\u7840\u4e0a\u624d\u80fd\u6709\u6240\u300c\u4e13\u7cbe\u300d\uff0c\u56e0\u6b64\u76f8\u540c\u53c2\u6570\u91cf\u7684 MoE \u6a21\u578b\u5f80\u5f80\u6bd4\u4e0d\u8fc7\u4f20\u7edf\u7a20\u5bc6\u6a21\u578b\u3002<\/p>\n

\u4f46\u8fd9\u4e9b\u4ece\u4e1a\u8005\u4e5f\u7eb7\u7eb7\u5411\u96f7\u5cf0\u7f51\u5766\u8a00\uff0c\u5373\u4fbf\u5982\u6b64\uff0c\u5c31\u5f53\u4e0b\u7684\u5b9e\u9645\u60c5\u51b5\u800c\u8a00\uff0cMoE \u80af\u5b9a\u662f\u4e00\u4e2a\u975e\u5e38\u6709\u5e0c\u671b\u7684\u505a\u6cd5\u3001\u5fc5\u7136\u7684\u8d8b\u52bf\u3002<\/p>\n

\u6216\u8bb8\uff0c\u5728\u7b97\u529b\u8db3\u591f\u7684\u7406\u60f3\u72b6\u6001\u4e0b\uff0c\u6ca1\u6709\u5fc5\u8981\u975e\u5f97\u7528 MoE \u67b6\u6784\uff0c\u4f46\u5728\u7b97\u529b\u4f9d\u65e7\u77ed\u7f3a\u7684\u73b0\u5728\uff0c\u65e0\u6cd5\u8bbe\u60f3\u90a3\u4e2a\u4e0d\u5b58\u5728\u7684\u672a\u6765\u3002\u5f53\u7136\uff0c\u5982\u679c\u6211\u4eec\u628a\u76ee\u5149\u653e\u5f97\u957f\u8fdc\u4e9b\uff0c\u5341\u5e74\u6216\u4e8c\u5341\u5e74\u540e\uff0c\u6280\u672f\u6301\u7eed\u53d1\u5c55\uff0c\u786c\u4ef6\u548c\u8ba1\u7b97\u6846\u67b6\u4e0d\u518d\u6210\u4e3a\u77ed\u677f\uff0c\u5230\u5e95\u60f3\u8981\u4f7f\u7528\u4ec0\u4e48\u6837\u7684\u67b6\u6784\u8bad\u7ec3\u5927\u6a21\u578b\uff0c\u4f1a\u66f4\u81ea\u7531\u4e9b\u3002<\/p>\n

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