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\u4f46\u662f\uff0c\u968f\u7740\u4ee5 GPU\u3001HBM\u3001\u9ad8\u901f\u4e92\u8054\u7f51\u7edc\u4e3a\u4ee3\u8868\u7684\u5206\u79bb\u5f0f\uff08Disaggregation\uff09\u670d\u52a1\u5668\u67b6\u6784\u9010\u6e10\u53d6\u4ee3\u4f20\u7edf\u4ee5 CPU \u4e3a\u4e2d\u5fc3\u7684\u670d\u52a1\u5668\uff0c\u4eba\u5de5\u667a\u80fd\u667a\u80fd\u4f53\uff08AI Agent\uff09\u548c\u5927\u6a21\u578b\u6210\u4e3a\u4e91\u8ba1\u7b97\u5e73\u53f0\u7684\u4e3b\u6d41\u670d\u52a1\uff0c\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u9010\u6e10\u66ff\u4ee3\u4f20\u7edf\u670d\u52a1\u6838\u5fc3\u7b97\u6cd5\uff0c\u4e91\u8ba1\u7b97\u8fd9\u4e2a\u59cb\u4e8e\u672c\u4e16\u7eaa\u521d\u7684\u6700\u91cd\u8981\u7684 IT \u57fa\u7840\u7cfb\u7edf\u4e5f\u9700\u8981\u91cd\u5851\u81ea\u8eab\u3002<\/p>\n\n\n\n

\u4f20\u7edf\u4e91\u8ba1\u7b97\u9886\u57df\u7684\u7814\u7a76\u65b9\u5411\uff0c\u5982\u865a\u62df\u673a\uff08VM\uff09\u3001\u5fae\u670d\u52a1\uff08Micro-services\uff09\u3001\u8ba1\u7b97\u5b58\u50a8\u5206\u79bb\u3001\u5f39\u6027\u8ba1\u7b97\u7b49\uff0c\u5728\u4eba\u5de5\u667a\u80fd\u65f6\u4ee3\u4e0b\u9700\u8981\u88ab\u91cd\u65b0\u5b9a\u4e49\u548c\u53d1\u5c55\u3002\u865a\u62df\u5316\u6280\u672f\u9700\u8981\u5728\u5206\u79bb\u5f0f\u67b6\u6784\u7684\u80cc\u666f\u4e0b\u8fdb\u884c\u91cd\u65b0\u8bbe\u8ba1\uff1b\u5fae\u670d\u52a1\u53ca\u5176\u76f8\u5173\u4e91\u8ba1\u7b97\u6a21\u5757\u9700\u8981\u4e3a AI Agent \u548c\u5927\u8bed\u8a00\u6a21\u578b\u6784\u5efa\u9ad8\u6548\u4e14\u53ef\u9760\u7684\u670d\u52a1\u5e73\u53f0\uff1b\u6570\u636e\u9690\u79c1\u548c\u5b89\u5168\u9700\u8981\u6210\u4e3a\u4e91\u8ba1\u7b97\u7cfb\u7edf\u521b\u65b0\u7684\u6838\u5fc3\u8981\u7d20\u3002\u6240\u6709\u8fd9\u4e9b\u53d8\u9769\u521b\u65b0\u90fd\u8981\u670d\u52a1\u4e8e\u4e91\u8ba1\u7b97\u7cfb\u7edf\u7684\u667a\u80fd\u5316\uff08Cloud + AI\uff09\u3002<\/p>\n\n\n\n

\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\uff0c\u6211\u4eec\u5728\u4f53\u7cfb\u7ed3\u6784\u65b9\u9762\u56f4\u7ed5\u5206\u79bb\u5f0f\u67b6\u6784\u5c55\u5f00\u7814\u7a76\uff0c\u5728\u7cfb\u7edf\u8f6f\u4ef6\u4e0a\u4ee5\u5927\u8bed\u8a00\u6a21\u578b\u548c AI Agent \u4e3a\u6838\u5fc3\uff0c\u63d0\u51fa\u4e86\u8bf8\u591a\u6784\u60f3\uff0c\u63a8\u51fa\u4e86\u591a\u9879\u521b\u65b0\u6280\u672f\u3002\u8fd9\u4e9b\u6280\u672f\u5c06\u5728\u672a\u6765\u7684\u4e91\u8ba1\u7b97\u5e73\u53f0\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002<\/p>\n\n\n\n

\u4e91\u8ba1\u7b97\u81ea\u8eab\u7684\u53d8\u9769\u4e5f\u4e3a\u4e91\u8ba1\u7b97\u5e73\u53f0\u4e0a\u7684\u4f20\u7edf\u670d\u52a1\uff0c\u5982\u6570\u636e\u5e93\u7cfb\u7edf\u3001\u5927\u6570\u636e\u7cfb\u7edf\u3001\u641c\u7d22\u548c\u5e7f\u544a\u7cfb\u7edf\u3001\u79d1\u5b66\u8ba1\u7b97\u7b49\u5927\u89c4\u6a21\u7cfb\u7edf\uff0c\u5e26\u6765\u4e86\u65b0\u7684\u8fdb\u5316\u673a\u9047\u3002\u4e00\u65b9\u9762\uff0c\u5927\u89c4\u6a21\u5f02\u6784\u8ba1\u7b97\u7cfb\u7edf\u5728\u4e91\u7aef\u7684\u666e\u53ca\u4e3a\u4f20\u7edf\u5927\u89c4\u6a21\u7cfb\u7edf\u63d0\u4f9b\u4e86\u65b0\u7684\u8ba1\u7b97\u5e73\u53f0\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u6df1\u5ea6\u5b66\u4e60\u7279\u522b\u662f\u5927\u6a21\u578b\u7684\u53d1\u5c55\u4e3a\u4f20\u7edf\u5927\u89c4\u6a21\u7cfb\u7edf\u7684\u5185\u5728\u7b97\u6cd5\u8bbe\u8ba1\u548c\u5b9e\u73b0\u63d0\u4f9b\u4e86\u5d2d\u65b0\u7684\u601d\u8def\u3002\u4ee5\u641c\u7d22\u7cfb\u7edf\u4e3a\u4f8b\uff0c\u6211\u4eec\u57fa\u4e8e\u5f02\u6784\u8ba1\u7b97\u7cfb\u7edf\u548c\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u5bf9\u641c\u7d22\u7cfb\u7edf\u8fdb\u884c\u4e86\u521b\u65b0\uff0c\u4ece Web Scale \u7684\u77e2\u91cf\u641c\u7d22\u7cfb\u7edf SPANN[4] \u5230\u6700\u65b0\u7684 Neural index \u7d22\u5f15\u7cfb\u7edf MEVI[5] \u7684\u8bbe\u8ba1\uff0c\u8fd9\u4e9b\u521b\u65b0\u4e0d\u4ec5\u6781\u5927\u63d0\u5347\u4e86\u641c\u7d22\u548c\u5e7f\u544a\u7cfb\u7edf\u7684\u6027\u80fd\uff0c\u4e5f\u4e3a\u672a\u6765\u4fe1\u606f\u68c0\u7d22\u7cfb\u7edf\u63d0\u4f9b\u4e86\u65b0\u7684\u8303\u5f0f\u3002\u7c7b\u4f3c\u7684\u521b\u65b0\u4e5f\u53d1\u751f\u5728\u6570\u636e\u5e93\u7cfb\u7edf\u3001\u79d1\u5b66\u8ba1\u7b97\u7cfb\u7edf\u7b49\u9886\u57df\u3002<\/p>\n\n\n\n

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\u5206\u5e03\u5f0f\u7cfb\u7edf\u5c06\u662f\u5206\u5e03\u5f0f\u667a\u80fd\u7684\u5173\u952e\u57fa\u7840\u8bbe\u65bd<\/h2>\n\n\n\n

\u201c\u4eba\u7c7b\u7684\u667a\u80fd\u4e0d\u5355\u5b58\u5728\u4e8e\u4eba\u7c7b\u7684\u5934\u8111\u4e2d\uff0c\u8fd8\u5e7f\u6cdb\u5206\u5e03\u5728\u6574\u4e2a\u7269\u7406\u4e16\u754c\u3001\u793e\u4f1a\u6d3b\u52a8\u548c\u7b26\u53f7\u4f53\u7cfb\u4e2d\u2014\u2014\u8fd9\u5c31\u662f\u2018\u5206\u5e03\u5f0f\u667a\u80fd\u2019\u3002\u201d\u7f8e\u56fd\u8ba4\u77e5\u79d1\u5b66\u5bb6 Roy Pea \u5728 1993 \u5e74\u53d1\u8868\u7684\u4e00\u7bc7\u8bba\u6587\u300aDistributed Cognition: Toward a New Foundation for the Study of Learning\u300b\u4e2d\u63d0\u51fa\u4e86\u5206\u5e03\u5f0f\u667a\u80fd\uff08distributed cognition\uff09\u7684\u6982\u5ff5\uff0c\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u79cd\u65b0\u7684\u89c6\u89d2\u6765\u7406\u89e3\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u4e0e\u793e\u4f1a\u4ee5\u53ca\u73af\u5883\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u3002<\/p>\n\n\n\n

\u76ee\u524d\uff0c\u5927\u6a21\u578b\u7684\u6280\u672f\u94fe\u6761\uff0c\u4ece\u8bad\u7ec3\u5230\u63a8\u7406\u90fd\u4f9d\u8d56\u4e8e\u4e91\u8ba1\u7b97\u4e2d\u5fc3\u3002\u4f46\u6211\u4eec\u76f8\u4fe1\uff0c\u667a\u80fd\u5e7f\u6cdb\u5b58\u5728\u4e8e\u5206\u5e03\u5f0f\u73af\u5883\u4e2d\uff0c\u672a\u6765\u7684\u667a\u80fd\u8ba1\u7b97\u4e5f\u5fc5\u7136\u5b58\u5728\u4e8e\u4efb\u610f\u7684\u5206\u5e03\u5f0f\u73af\u5883\u4e2d\u3002<\/p>\n\n\n\n

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\u53e6\u5916\uff0c\u5bf9\u4e8e\u8fb9\u7f18\u8ba1\u7b97\u5e73\u53f0\u548c\u8bbe\u5907\uff0c\u786c\u4ef6\u548c\u63a8\u7406\u7b97\u6cd5\u7684\u521b\u65b0\u4e5f\u81f3\u5173\u91cd\u8981\uff0c\u8fd9\u5c06\u4ece\u6839\u672c\u4e0a\u9769\u65b0\u7aef\u4fa7\u7684\u63a8\u7406\u65b9\u5f0f\uff0c\u6bd4\u5982\u5229\u7528\u57fa\u4e8e\u67e5\u627e\u8868\uff08Lookup Table\uff09\u7b49\u5168\u65b0\u7684\u8ba1\u7b97\u8303\u5f0f\u6765\u63d0\u5347\u7aef\u4fa7\u63a8\u7406\u6548\u7387\uff0c\u5305\u62ec LUT-NN[8] \u7b49\u6280\u672f\u3002<\/p>\n\n\n\n

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\u672a\u6765\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u5c06\u81ea\u6211\u8fdb\u5316<\/h2>\n\n\n\n

\u672a\u6765\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u7814\u7a76\u5c06\u662f\u4e00\u4e2a\u6301\u7eed\u81ea\u6211\u9769\u65b0\u7684\u8fc7\u7a0b\u3002\u8fd9\u4e0d\u4ec5\u610f\u5473\u7740\u8ba1\u7b97\u673a\u7cfb\u7edf\u9700\u8981\u4e0d\u65ad\u8fdb\u5316\u6765\u6ee1\u8db3\u672a\u6765\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u7684\u9700\u6c42\uff0c\u4e5f\u610f\u5473\u7740\u8ba1\u7b97\u673a\u7cfb\u7edf\u672c\u8eab\u5c06\u66f4\u52a0\u667a\u80fd\u5316\uff0c\u5e76\u5177\u5907\u81ea\u6211\u6f14\u5316\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n

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\u672c\u6587\u4f5c\u8005<\/strong><\/p>\n\n\n\n

\u6768\u61cb\u535a\u58eb\u73b0\u4efb\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u526f\u9662\u957f\uff0c\u9886\u5bfc\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5728\u8ba1\u7b97\u673a\u7cfb\u7edf\u548c\u7f51\u7edc\u9886\u57df\u7684\u7814\u7a76\u5de5\u4f5c\u3002<\/p>\n\n\n\n

\u6768\u61cb\u535a\u58eb\u4e8e2006\u5e74\u52a0\u5165\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\uff0c\u4e3b\u8981\u4ece\u4e8b\u5206\u5e03\u5f0f\u7cfb\u7edf\u3001\u641c\u7d22\u5f15\u64ce\u7cfb\u7edf\u548c\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edf\u7684\u7814\u7a76\u3001\u8bbe\u8ba1\u4e0e\u5b9e\u73b0\u3002\u540c\u65f6\u9886\u5bfc\u56e2\u961f\u5728\u8ba1\u7b97\u673a\u7cfb\u7edf\u3001\u8ba1\u7b97\u673a\u5b89\u5168\u3001\u8ba1\u7b97\u673a\u7f51\u7edc\u3001\u5f02\u6784\u8ba1\u7b97\u3001\u8fb9\u7f18\u8ba1\u7b97\u548c\u7cfb\u7edf\u7b97\u6cd5\u7b49\u65b9\u5411\u8fdb\u884c\u5173\u952e\u6280\u672f\u7814\u7a76\u3002\u56e2\u961f\u53ca\u4e2a\u4eba\u5728 OSDI\u3001SOSP\u3001NSDI\u3001SIGCOMM\u3001ATC \u7b49\u8ba1\u7b97\u673a\u7cfb\u7edf\u548c\u7f51\u7edc\u7684\u9876\u7ea7\u4f1a\u8bae\u4e0a\u6301\u7eed\u53d1\u8868\u591a\u7bc7\u8bba\u6587\u3002\u56e2\u961f\u5728\u7814\u7a76\u7684\u540c\u65f6\u8fd8\u6ce8\u91cd\u4e0e\u5b9e\u9645\u8ba1\u7b97\u673a\u548c\u7f51\u7edc\u7cfb\u7edf\u7684\u6f14\u8fdb\u7ed3\u5408\uff0c\u4e0e Azure \u4e91\u8ba1\u7b97\u3001Bing \u641c\u7d22\u5f15\u64ce\u7cfb\u7edf\u3001Windows \u64cd\u4f5c\u7cfb\u7edf\u3001SQL Server \u6570\u636e\u5e93\u7cfb\u7edf\u4ee5\u53ca\u591a\u4e2a\u5f00\u6e90\u793e\u533a\u5bc6\u5207\u5408\u4f5c\u3002\u6768\u535a\u58eb\u540c\u65f6\u8fd8\u662f\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u535a\u58eb\u751f\u5bfc\u5e08\u3002<\/p>\n\n\n\n

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\u76f8\u5173\u94fe\u63a5\uff1a<\/strong><\/p>\n\n\n\n

[1] Microsoft Collective Communication Library (MSCCL) (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

[2] Tutel MoE: An Optimized Mixture-of-Experts Implementation (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

[3] \u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u63a8\u51faAI\u7f16\u8bd1\u5668\u754c\u201c\u5de5\u4e1a\u91cd\u91d1\u5c5e\u56db\u90e8\u66f2\u201d (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

[4] SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search<\/a><\/p>\n\n\n\n

[5] Model-enhanced Vector Index<\/a><\/p>\n\n\n\n

[6] PIT\uff1a\u901a\u8fc7\u6392\u5217\u4e0d\u53d8\u6027\u4f18\u5316\u52a8\u6001\u7a00\u758f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

[7] Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

[8] LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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GPU \u96c6\u7fa4\u4e3a\u4ee3\u8868\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\u673a\u7cfb\u7edf\u4e5f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\u5b9e\u73b0\u4e86\u8d28\u7684\u98de\u8dc3\u3002 \u7136\u800c\uff0c\u968f\u7740\u4eba\u5de5\u667a\u80fd\u6280\u672f\u66f4\u65b0\u8fed\u4ee3\u901f\u5ea6\u7684\u52a0\u5feb\uff0c\u6211\u4eec\u4e5f\u6108\u53d1\u6e05\u6670\u5730\u770b\u5230\u4f20\u7edf\u8ba1\u7b97\u673a\u7cfb\u7edf\u9762\u4e34\u7740\u65b0\u7684\u6311\u6218\uff1a\u5f53\u524d\u7684 GPU \u96c6\u7fa4\u5728\u89c4\u6a21\u548c\u6548\u7387\u4e0a\uff0c\u5df2\u7ecf\u96be\u4ee5\u6ee1\u8db3\u65b0\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u670d\u52a1\u7684\u9700\u6c42\uff0c\u800c\u73b0\u6709\u7684\u4e91\u8ba1\u7b97\u548c\u79fb\u52a8\u8ba1\u7b97\u7cfb\u7edf\u5e73\u53f0\uff0c\u4e5f\u9700\u8981\u4ece\u670d\u52a1\u4f20\u7edf\u7684\u8ba1\u7b97\u4efb\u52a1\u5411\u670d\u52a1\u667a\u80fd\u5e94\u7528\u8f6c\u53d8\u3002 \u9762\u5bf9\u8fd9\u4e00\u7cfb\u5217\u6311\u6218\uff0c\u6211\u4eec\u610f\u8bc6\u5230\u6784\u5efa\u4e8e\u5927\u89c4\u6a21\u9ad8\u6027\u80fd\u8ba1\u7b97\u673a\u7cfb\u7edf\u4e4b\u4e0a\u7684\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u5c06\u4e3a\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u7814\u7a76\u5e26\u6765\u65e0\u9650\u7684\u673a\u9047\u3002\u56e0\u6b64\uff0c\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u9769\u65b0\u4e5f\u52bf\u5fc5\u8981\u4ece\u8fd9\u4e09\u4e2a\u65b9\u5411\u5c55\u5f00\uff1a\u521b\u65b0\u8d85\u5927\u89c4\u6a21\u8ba1\u7b97\u673a\u7cfb\u7edf\u4ee5\u652f\u6301\u672a\u6765\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\uff1b\u91cd\u6784\u4e91\u8ba1\u7b97\u8fd9\u4e00\u91cd\u8981\u7684 IT \u57fa\u7840\u5e73\u53f0\uff1b\u8bbe\u8ba1\u524d\u6cbf\u7684\u5206\u5e03\u5f0f\u7cfb\u7edf\uff0c\u4ee5\u9002\u5e94\u66f4\u5e7f\u6cdb\u7684\u5206\u5e03\u5f0f\u667a\u80fd\u9700\u6c42\u3002 \u5f3a\u5316\u5b66\u4e60\u9886\u57df\u7684\u521b\u59cb\u4eba\u4e4b\u4e00 Rich Sutton \u66fe\u8bf4\u8fc7\uff0c\u201c\u4ece70\u5e74\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4e2d\u53ef\u4ee5\u603b\u7ed3\u51fa\u7684\u6700\u91cd\u8981\u7684\u7ecf\u9a8c\u662f\uff0c\u6700\u5927\u5316\u5229\u7528\u8ba1\u7b97\u80fd\u529b\u662f\u6700\u6709\u6548\uff0c\u4e5f\u662f\u6700\u6709\u4f18\u52bf\u7684\u65b9\u6cd5\u3002\u4ece\u957f\u8fdc\u6765\u770b\uff0c\u552f\u4e00\u91cd\u8981\u7684\u4e8b\u60c5\u5c31\u662f\u5229\u7528\u597d\u7b97\u529b\u3002\u201d \u8d85\u7ea7\u8ba1\u7b97\u673a\u7cfb\u7edf\u4f5c\u4e3a\u5f53\u524d\u6700\u6709\u6548\u7684\u8ba1\u7b97\u529b\u201c\u6e90\u529b\u201d\uff0c\u662f\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u6210\u529f\u7684\u91cd\u8981\u57fa\u77f3\u3002\u7136\u800c\uff0c\u5728\u57fa\u4e8e\u8d85\u7ea7\u8ba1\u7b97\u673a\u7cfb\u7edf\u6784\u5efa\u5927\u89c4\u6a21 GPU 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\u8fc7\u53bb\u4e94\u5e74\u4e2d\uff0c\u6211\u4eec\u4ece\u4f53\u7cfb\u7ed3\u6784\u3001\u7f51\u7edc\u901a\u4fe1\u3001\u7f16\u8bd1\u4f18\u5316\u548c\u4e0a\u5c42\u7cfb\u7edf\u8f6f\u4ef6\u7b49\u591a\u4e2a\u89d2\u5ea6\uff0c\u5f00\u5c55\u4e86\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u521b\u65b0\u7814\u7a76\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u67b6\u6784\u7684\u6f14\u5316\u63d0\u4f9b\u4e86\u6709\u529b\u652f\u6301\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u63a8\u51fa\u4e86\u80fd\u591f\u8de8\u591a\u4e2a\u52a0\u901f\u5668\u6267\u884c\u96c6\u4f53\u901a\u4fe1\u7b97\u6cd5\u7684\u5fae\u8f6f\u96c6\u4f53\u901a\u4fe1\u5e93 MSCCL[1]\uff0c\u4ee5\u53ca\u6709\u52a9\u4e8e\u5f00\u53d1\u5927\u89c4\u6a21\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u9ad8\u6027\u80fd MoE\uff08Mixture of Experts\uff0c\u6df7\u5408\u4e13\u5bb6\uff09\u5e93 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