{"id":17472,"date":"2024-01-15T09:00:10","date_gmt":"2024-01-15T01:00:10","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=17472"},"modified":"2024-01-15T09:00:10","modified_gmt":"2024-01-15T01:00:10","slug":"%e5%a6%82%e4%bd%95%e9%ab%98%e6%95%88%e9%83%a8%e7%bd%b2%e5%a4%a7%e6%a8%a1%e5%9e%8b%ef%bc%9fcmu%e6%9c%80%e6%96%b0%e4%b8%87%e5%ad%97%e7%bb%bc%e8%bf%b0%e7%ba%b5%e8%a7%88llm%e6%8e%a8%e7%90%86mlsys%e4%bc%98","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2024\/01\/15\/17472\/","title":{"rendered":"\u5982\u4f55\u9ad8\u6548\u90e8\u7f72\u5927\u6a21\u578b\uff1fCMU\u6700\u65b0\u4e07\u5b57\u7efc\u8ff0\u7eb5\u89c8LLM\u63a8\u7406MLSys\u4f18\u5316\u6280\u672f"},"content":{"rendered":"
\u8fd1\u65e5\uff0cCMU Catalyst \u56e2\u961f\u63a8\u51fa\u4e86\u4e00\u7bc7\u5173\u4e8e\u9ad8\u6548 LLM \u63a8\u7406\u7684\u7efc\u8ff0\uff0c\u8986\u76d6\u4e86 300 \u4f59\u7bc7\u76f8\u5173\u8bba\u6587\uff0c\u4ece MLSys \u7684\u7814\u7a76\u89c6\u89d2\u4ecb\u7ecd\u4e86\u7b97\u6cd5\u521b\u65b0\u548c\u7cfb\u7edf\u4f18\u5316\u4e24\u4e2a\u65b9\u9762\u7684\u76f8\u5173\u8fdb\u5c55\u3002<\/div>\n
\n
\n

\u5728\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u7684\u5feb\u901f\u53d1\u5c55\u80cc\u666f\u4e0b\uff0c\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u51ed\u501f\u5176\u5728\u8bed\u8a00\u76f8\u5173\u4efb\u52a1\u4e0a\u7684\u6770\u51fa\u8868\u73b0\uff0c\u5df2\u6210\u4e3a AI \u9886\u57df\u7684\u91cd\u8981\u63a8\u52a8\u529b\u3002\u7136\u800c\uff0c\u968f\u7740\u8fd9\u4e9b\u6a21\u578b\u5728\u5404\u79cd\u5e94\u7528\u4e2d\u7684\u666e\u53ca\uff0c\u5b83\u4eec\u7684\u590d\u6742\u6027\u548c\u89c4\u6a21\u4e5f\u4e3a\u5176\u90e8\u7f72\u548c\u670d\u52a1\u5e26\u6765\u4e86\u524d\u6240\u672a\u6709\u7684\u6311\u6218\u3002LLM \u90e8\u7f72\u548c\u670d\u52a1\u9762\u4e34\u7740\u5bc6\u96c6\u7684\u8ba1\u7b97\u5f3a\u5ea6\u548c\u5de8\u5927\u7684\u5185\u5b58\u6d88\u8017\uff0c\u7279\u522b\u662f\u5728\u8981\u6c42\u4f4e\u5ef6\u8fdf\u548c\u9ad8\u541e\u5410\u91cf\u7684\u573a\u666f\u4e2d\uff0c\u5982\u4f55\u63d0\u9ad8 LLM \u670d\u52a1\u6548\u7387\uff0c\u964d\u4f4e\u5176\u90e8\u7f72\u6210\u672c\uff0c\u5df2\u7ecf\u6210\u4e3a\u4e86\u5f53\u524d AI \u548c\u7cfb\u7edf\u9886\u57df\u4e9f\u9700\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n

\u6765\u81ea\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u7684 Catalyst \u56e2\u961f\u5728\u4ed6\u4eec\u7684\u6700\u65b0\u7efc\u8ff0\u8bba\u6587\u4e2d\uff0c\u4ece\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\uff08MLSys\uff09\u7684\u7814\u7a76\u89c6\u89d2\u51fa\u53d1\uff0c\u8be6\u7ec6\u5206\u6790\u4e86\u4ece\u524d\u6cbf\u7684 LLM \u63a8\u7406\u7b97\u6cd5<\/strong>\u5230\u7cfb\u7edf<\/strong>\u7684\u9769\u547d\u6027\u53d8\u9769\uff0c\u4ee5\u5e94\u5bf9\u8fd9\u4e9b\u6311\u6218\u3002\u8be5\u7efc\u8ff0\u65e8\u5728\u63d0\u4f9b\u5bf9\u9ad8\u6548 LLM \u670d\u52a1\u7684\u5f53\u524d\u72b6\u6001\u548c\u672a\u6765\u65b9\u5411\u7684\u5168\u9762\u7406\u89e3\uff0c\u4e3a\u7814\u7a76\u8005\u548c\u5b9e\u8df5\u8005\u63d0\u4f9b\u4e86\u5b9d\u8d35\u7684\u6d1e\u89c1\uff0c\u5e2e\u52a9\u4ed6\u4eec\u514b\u670d\u6709\u6548 LLM \u90e8\u7f72\u7684\u969c\u788d\uff0c\u4ece\u800c\u91cd\u5851 AI \u7684\u672a\u6765\u3002<\/p>\n

<\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2312.15234<\/p>\n

\u8be5\u8bba\u6587\u7684\u7b2c\u4e00\u4f5c\u8005\u662f\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u7684 Xupeng Miao\uff08\u82d7\u65ed\u9e4f\uff09\u535a\u58eb\u540e\u7814\u7a76\u5458\uff0c\u5408\u4f5c\u8005\u8fd8\u5305\u62ec Tianqi Chen \u548c Zhihao Jia \u52a9\u7406\u6559\u6388\u3002\u6b64\u5916\uff0c\u5176\u4ed6\u5b66\u751f\u4f5c\u8005\u4e5f\u5747\u6765\u81ea\u4e8e CMU Catalyst Group \u5b9e\u9a8c\u5ba4\uff0c\u8be5\u5b9e\u9a8c\u5ba4\u7531 Zhihao Jia \u4e0e Tianqi Chen\uff08\u9648\u5929\u5947\uff09\u5728 CMU \u5171\u540c\u4e3b\u6301\uff0c\u81f4\u529b\u4e8e\u96c6\u6210\u6765\u81ea\u4e8e\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3001\u7cfb\u7edf\u3001\u786c\u4ef6\u7b49\u591a\u65b9\u9762\u7684\u4f18\u5316\u6280\u672f\uff0c\u6784\u9020\u81ea\u52a8\u5316\u7684\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u3002\u6b64\u524d\uff0c\u8be5\u5b9e\u9a8c\u5ba4\u8fd8\u63a8\u51fa\u4e86 SpecInfer, MLC-LLM, SpotServe [ASPLOS\u201824] \u7b49\u5f00\u6e90\u9879\u76ee\uff0c\u63a8\u8fdb LLM \u5927\u6a21\u578b\u76f8\u5173\u7cfb\u7edf\u7684\u7814\u7a76\u548c\u5e94\u7528\u3002\u5b9e\u9a8c\u5ba4\u4e3b\u9875\uff1ahttps:\/\/catalyst.cs.cmu.edu\u3002<\/p>\n

\u7efc\u8ff0\u6982\u89c8<\/h4>\n

\u8be5\u7efc\u8ff0\u7cfb\u7edf\u5730\u5ba1\u89c6\u4e86\u73b0\u6709 LLM \u63a8\u7406\u6280\u672f\uff0c\u8986\u76d6\u4e86 300 \u4f59\u7bc7\u76f8\u5173\u8bba\u6587\uff0c\u4ece\u7b97\u6cd5\u521b\u65b0<\/strong>\u548c\u7cfb\u7edf\u4f18\u5316<\/strong>\u4e24\u4e2a\u65b9\u9762\u5c55\u5f00\u4ecb\u7ecd\u3002\u8bba\u6587\u4ee5\u6b64\u4e3a\u57fa\u7840\uff0c\u5bf9\u73b0\u6709\u5de5\u4f5c\u8bbe\u8ba1\u4e86\u4e00\u5957\u6e05\u6670\u4e14\u8be6\u5c3d\u7684\u5206\u7c7b\u6cd5<\/strong>\uff0c\u7a81\u51fa\u4e86\u5404\u79cd\u65b9\u6cd5\u7684\u4f18\u52bf\u548c\u5c40\u9650\u6027\uff0c\u9010\u7c7b\u522b\u641c\u96c6\u6574\u7406\u5e76\u4ecb\u7ecd\u4e86\u6bcf\u79cd\u65b9\u6cd5\u7684\u76f8\u5173\u8bba\u6587\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u8bba\u6587\u8fd8\u5bf9\u5f53\u524d\u7684\u4e3b\u6d41\u00a0LLM \u63a8\u7406\u6846\u67b6<\/strong>\u5728\u7cfb\u7edf\u8bbe\u8ba1\u4e0e\u5b9e\u73b0\u65b9\u9762\u8fdb\u884c\u4e86\u6df1\u5165\u7684\u5bf9\u6bd4\u548c\u5206\u6790\u3002\u6700\u540e\uff0c\u4f5c\u8005\u5bf9\u672a\u6765\u5982\u4f55\u7ee7\u7eed\u63d0\u9ad8 LLM \u63a8\u7406\u6548\u7387\u8fdb\u884c\u4e86\u5c55\u671b\uff0c\u5728\u6280\u672f\u5c42\u9762\u63d0\u51fa\u4e86\u516d\u5927\u6f5c\u5728\u53d1\u5c55\u65b9\u5411<\/strong>\u3002<\/p>\n

\u5206\u7c7b\u6cd5<\/h4>\n

\"\u56fe\u7247\"<\/p>\n

\u7b97\u6cd5\u521b\u65b0<\/strong><\/p>\n

\u8fd9\u4e00\u8282\u5bf9\u63d0\u51fa\u7684\u5404\u79cd\u7b97\u6cd5\u548c\u6280\u672f\u8fdb\u884c\u4e86\u5168\u9762\u5206\u6790\uff0c\u65e8\u5728\u6539\u8fdb\u5927\u89c4\u6a21 Transformer \u6a21\u578b\u63a8\u7406\u7684\u539f\u751f\u6027\u80fd\u7f3a\u9677\uff0c\u5305\u62ec\u89e3\u7801\u7b97\u6cd5<\/strong>\u3001\u67b6\u6784\u8bbe\u8ba1<\/strong>\u3001\u548c\u6a21\u578b\u538b\u7f29<\/strong>\u7b49\u7b49\u3002<\/p>\n

\"\u56fe\u7247\"<\/p>\n

\u89e3\u7801\u7b97\u6cd5\uff1a\u5728\u8fd9\u4e00\u90e8\u5206\u4e2d\uff0c\u6211\u4eec\u56de\u987e\u4e86\u5728\u56fe 2 \u4e2d\u5c55\u793a\u7684\u51e0\u79cd LLMs \u63a8\u7406\u4f18\u5316\u8fc7\u7a0b\u7684\u65b0\u9896\u89e3\u7801\u7b97\u6cd5\u3002\u8fd9\u4e9b\u7b97\u6cd5\u65e8\u5728\u51cf\u5c11\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u5e76\u63d0\u9ad8\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u5728\u751f\u6210\u4efb\u52a1\u4e2d\u7684\u603b\u4f53\u6548\u7387\uff0c\u5305\u62ec\uff1a<\/p>\n

    \n
  • \u975e\u81ea\u56de\u5f52\u89e3\u7801\uff1a\u73b0\u6709 LLMs \u7684\u4e00\u4e2a\u4e3b\u8981\u9650\u5236\u662f\u9ed8\u8ba4\u7684\u81ea\u56de\u5f52\u89e3\u7801\u673a\u5236\uff0c\u5b83\u9010\u4e2a\u987a\u5e8f\u751f\u6210\u8f93\u51fa token\u3002\u4e3a\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u4e00\u79cd\u4ee3\u8868\u6027\u7684\u5de5\u4f5c\u65b9\u5411\u662f\u975e\u81ea\u56de\u5f52\u89e3\u7801 [97, 104, 108\uff0c271]\uff0c\u5373\u653e\u5f03\u81ea\u56de\u5f52\u751f\u6210\u8303\u5f0f\uff0c\u6253\u7834\u5355\u8bcd\u4f9d\u8d56\u5e76\u5047\u8bbe\u4e00\u5b9a\u7a0b\u5ea6\u7684\u6761\u4ef6\u72ec\u7acb\u6027\uff0c\u5e76\u884c\u89e3\u7801\u8f93\u51fa token\u3002\u7136\u800c\uff0c\u5c3d\u7ba1\u8fd9\u7c7b\u65b9\u6cd5\u89e3\u7801\u901f\u5ea6\u6709\u6240\u63d0\u9ad8\uff0c\u4f46\u5927\u591a\u6570\u975e\u81ea\u56de\u5f52\u65b9\u6cd5\u7684\u8f93\u51fa\u8d28\u91cf\u4ecd\u4e0d\u5982\u81ea\u56de\u5f52\u65b9\u6cd5\u53ef\u9760\u3002<\/li>\n
  • \u6295\u673a\u5f0f\u63a8\u7406\uff1a\u53e6\u4e00\u7c7b\u5de5\u4f5c\u662f\u901a\u8fc7\u6295\u673a\u6267\u884c\u601d\u60f3 [47] \u5b9e\u73b0\u5e76\u884c\u89e3\u7801\u3002\u81ea\u56de\u5f52 LLM \u63a8\u7406\u8fc7\u7a0b\u4e2d\u7684\u6bcf\u4e2a\u89e3\u7801\u6b65\u9aa4\u90fd\u53ef\u4ee5\u88ab\u89c6\u4e3a\u5e26\u6709\u6761\u4ef6\u5206\u652f\u7684\u7a0b\u5e8f\u6267\u884c\u8bed\u53e5\uff0c\u5373\u51b3\u5b9a\u63a5\u4e0b\u6765\u751f\u6210\u54ea\u4e2a token\u3002\u6295\u673a\u5f0f\u63a8\u7406 [51, 155] \u5148\u4f7f\u7528\u8f83\u5c0f\u7684\u8349\u7a3f\u6a21\u578b\u8fdb\u884c\u591a\u6b65\u89e3\u7801\u9884\u6d4b\uff0c\u7136\u540e\u8ba9 LLM \u540c\u65f6\u9a8c\u8bc1\u8fd9\u4e9b\u9884\u6d4b\u4ee5\u5b9e\u73b0\u52a0\u901f\u3002\u7136\u800c\uff0c\u5c06\u6295\u673a\u89e3\u7801\u5e94\u7528\u4e8e LLMs \u65f6\u4ecd\u7136\u5b58\u5728\u4e00\u4e9b\u5b9e\u9645\u6311\u6218\uff0c\u4f8b\u5982\uff0c\u5982\u4f55\u4f7f\u89e3\u7801\u9884\u6d4b\u8db3\u591f\u8f7b\u91cf\u4e14\u51c6\u786e\uff0c\u4ee5\u53ca\u5982\u4f55\u501f\u52a9 LLMs \u5b9e\u73b0\u9ad8\u6548\u7684\u5e76\u884c\u9a8c\u8bc1\u3002SpecInfer [177] \u9996\u6b21\u5f15\u5165\u57fa\u4e8e tree-based speculative decoding \u548c tree attention\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u4e2a\u4f4e\u5ef6\u8fdf LLM \u670d\u52a1\u7cfb\u7edf\u5b9e\u73b0\uff0c\u8be5\u673a\u5236\u4e5f\u88ab\u540e\u7eed\u591a\u4e2a\u5de5\u4f5c [48, 118, 168, 185, 229, 236, 274, 310] \u76f4\u63a5\u91c7\u7528\u3002<\/li>\n
  • \u63d0\u524d\u9000\u51fa\uff1a\u8fd9\u7c7b\u65b9\u6cd5\u4e3b\u8981\u5229\u7528 LLMs \u7684\u6df1\u5c42\u591a\u5c42\u7ed3\u6784\uff0c\u5728\u4e2d\u95f4\u5c42\u63d0\u524d\u63a8\u51fa\u63a8\u7406\uff0c\u4e2d\u95f4\u5c42\u8f93\u51fa\u53ef\u4ee5\u901a\u8fc7\u5206\u7c7b\u5668\u8f6c\u5316\u6210\u8f93\u51fa\u7684 token\uff0c\u4ece\u800c\u964d\u4f4e\u63a8\u7406\u5f00\u9500 [117, 147, 163, 167, 234, 272, 282, 291, 308]\uff0c\u5b83\u4eec\u4e5f\u88ab\u79f0\u4e3a\u81ea\u9002\u5e94\u8ba1\u7b97 [68, 219]\u3002<\/li>\n
  • \u7ea7\u8054\u63a8\u7406\uff1a\u8fd9\u7c7b\u65b9\u6cd5\u7ea7\u8054\u4e86\u591a\u4e2a\u4e0d\u540c\u89c4\u6a21\u7684 LLM \u6a21\u578b\uff0c\u7528\u4e8e\u5206\u522b\u5904\u7406\u4e0d\u540c\u590d\u6742\u5ea6\u7684\u63a8\u7406\u8bf7\u6c42\uff0c\u4ee3\u8868\u6027\u5de5\u4f5c\u5305\u62ec CascadeBERT [157] \u548c FrugalGPT [53]\u3002<\/li>\n<\/ul>\n

    \u67b6\u6784\u8bbe\u8ba1\uff1a<\/p>\n

      \n
    • \u914d\u7f6e\u7f29\u5c0f\uff1a\u76f4\u63a5\u7f29\u5c0f\u6a21\u578b\u914d\u7f6e\u3002<\/li>\n
    • \u6ce8\u610f\u529b\u7b80\u5316\uff1a\u6700\u8fd1\u51fa\u73b0\u4e86\u5f88\u591a\u7814\u7a76\u5de5\u4f5c\uff0c\u5b83\u4eec\u4e3b\u8981\u662f\u5c06\u4e4b\u524d\u7684\u957f\u5e8f\u5217\u9ad8\u6548\u6ce8\u610f\u529b\u673a\u5236 [240] \u5e94\u7528\u5728 LLM \u4e0a\uff0c\u4ee5\u7f29\u77ed\u4e0a\u4e0b\u6587\uff0c\u51cf\u5c11 KV \u7f13\u5b58\uff0c\u4ee5\u53ca\u6ce8\u610f\u529b\u590d\u6742\u5ea6\uff0c\u540c\u65f6\u7565\u5fae\u964d\u4f4e\u89e3\u7801\u8d28\u91cf\uff08\u5982\u6ed1\u52a8\u7a97\u53e3 [129, 299]\u3001\u54c8\u5e0c [198]\u3001dilated [74]\u3001\u52a8\u6001\u9009\u62e9\u7b49\u7b49\uff09\u3002\u8868 1 \u4e2d\u603b\u7ed3\u4e86\u4e00\u4e9b\u8fd1\u671f\u7684\u70ed\u95e8\u65b9\u6cd5\u548c\u4e4b\u524d\u7684\u5de5\u4f5c\u4e4b\u95f4\u7684\u5bf9\u5e94\u5173\u7cfb\u3002<\/li>\n<\/ul>\n

      \"\u56fe\u7247\"<\/p>\n

        \n
      • \u6fc0\u6d3b\u5171\u4eab\uff1a\u8fd9\u7c7b\u65b9\u6cd5\u4e3b\u8981\u662f\u901a\u8fc7\u5171\u4eab attention \u8ba1\u7b97\u7684\u4e2d\u95f4\u6fc0\u6d3b\u6765\u964d\u4f4e\u63a8\u7406\u5185\u5b58\u5f00\u9500\uff0c\u4ee3\u8868\u6027\u5de5\u4f5c\u5305\u62ec MQA [220] \u548c GQA [32]\u3002<\/li>\n
      • \u6761\u4ef6\u8ba1\u7b97\uff1a\u8fd9\u7c7b\u65b9\u6cd5\u4e3b\u8981\u662f\u6307\u7a00\u758f\u4e13\u5bb6\u6df7\u5408\u6a21\u578b\uff08Sparse MoE\uff09\uff0c\u6bd4\u5982\u6700\u8fd1\u5927\u706b\u7684 Mistrial 7Bx8 \u6a21\u578b\u5c31\u5c5e\u4e8e\u6b64\u7c7b\u3002<\/li>\n
      • \u5faa\u73af\u5355\u5143\uff1a\u5c3d\u7ba1 Transformer \u5df2\u7ecf\u66ff\u4ee3\u4e86 RNN \u6a21\u578b\uff0c\u4f46\u8003\u8651\u5230\u6ce8\u610f\u529b\u673a\u5236\u7684\u4e8c\u6b21\u590d\u6742\u6027\uff0c\u4eba\u4eec\u59cb\u7ec8\u672a\u66fe\u653e\u5f03\u5c06 recurrent unit \u673a\u5236\u91cd\u65b0\u5f15\u5165 LLM \u7684\u5c1d\u8bd5\uff0c\u6bd4\u5982 RWKV [200]\u3001RetNet [235]\uff0c\u4ee5\u53ca\u72b6\u6001\u7a7a\u95f4\u6a21\u578b [91, 102, 103, 176] \u7b49\u7b49\u3002<\/li>\n<\/ul>\n

        \u6a21\u578b\u538b\u7f29\uff1a<\/p>\n

          \n
        • \u77e5\u8bc6\u84b8\u998f\uff1a\u8fd9\u7c7b\u65b9\u6cd5\u4ee5\u5927\u578b\u7684\u6559\u5e08\u6a21\u578b\u4e3a\u76d1\u7763\uff0c\u8bad\u7ec3\u4e00\u4e2a\u5c0f\u578b\u7684\u5b66\u751f\u6a21\u578b\u3002\u5927\u591a\u6570\u4e4b\u524d\u7684\u65b9\u6cd5\u90fd\u5728\u63a2\u7d22\u767d\u76d2\u84b8\u998f [106, 133, 214, 233, 255]\uff0c\u9700\u8981\u8bbf\u95ee\u6574\u4e2a\u6559\u5e08\u6a21\u578b\u7684\u53c2\u6570\u3002\u7531\u4e8e\u57fa\u4e8e API \u7684 LLM \u670d\u52a1\uff08\u5982 ChatGPT\uff09\u7684\u51fa\u73b0\uff0c\u4e00\u4e9b\u9ed1\u76d2\u84b8\u998f\u6a21\u578b\u5438\u5f15\u4e86\u5f88\u591a\u5173\u6ce8 [238,59, 273, 201, 313]\uff0c\u8fd9\u4e9b\u6a21\u578b\u901a\u5e38\u5177\u6709\u66f4\u5c11\u7684\u6a21\u578b\u53c2\u6570\uff0c\u4e0e\u539f\u59cb LLMs\uff08\u5982 GPT-4 [195]\uff09\u76f8\u6bd4\uff0c\u5728\u5404\u79cd\u4e0b\u6e38\u4efb\u52a1\u4e0a\u8868\u73b0\u51fa\u4e86\u76f8\u5f53\u7684\u6027\u80fd\u3002<\/li>\n
        • \u7f51\u7edc\u526a\u679d\uff1a\u8fc7\u53bb\u51e0\u5e74\u4e2d\uff0c\u7f51\u7edc\u526a\u679d\u65b9\u6cd5 [180, 215, 215] \u5df2\u88ab\u5e7f\u6cdb\u7814\u7a76\uff0c\u4f46\u5e76\u975e\u6240\u6709\u65b9\u6cd5\u90fd\u53ef\u4ee5\u76f4\u63a5\u5e94\u7528\u4e8e LLMs\uff0c\u9700\u8981\u8003\u8651\u91cd\u65b0\u8bad\u7ec3\u53ef\u80fd\u5e26\u6765\u7684\u8fc7\u9ad8\u8ba1\u7b97\u6210\u672c\uff0c\u4ee5\u53ca\u8bc4\u4f30\u526a\u679d\u662f\u5426\u53ef\u4ee5\u5728\u5e95\u5c42\u7cfb\u7edf\u5b9e\u73b0\u4e0a\u53d6\u5f97\u6548\u7387\u63d0\u5347\u3002\u5927\u81f4\u4e0a\u53ef\u4ee5\u5206\u4e3a\u7ed3\u6784\u5316\u526a\u679d [80, 149, 174, 216, 172] \u548c\u534a\u7ed3\u6784\u5316\u7a00\u758f\u5316 [40, 87, 232, 251, 276] \u7b49\u3002<\/li>\n<\/ul>\n

          \u7cfb\u7edf\u4f18\u5316<\/strong><\/p>\n

          \u672c\u8282\u7814\u7a76 LLM \u63a8\u7406\u7cfb\u7edf\u4f18\u5316\u6280\u672f\uff0c\u4ee5\u52a0\u901f LLM \u63a8\u7406\uff0c\u800c\u4e0d\u6539\u53d8 LLM \u8ba1\u7b97\u8bed\u4e49\u3002\u8fd9\u4e00\u5de5\u4f5c\u7684\u76ee\u6807\u662f\u901a\u8fc7\u6539\u8fdb\u7528\u4e8e\u5927\u578b\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u7684\u5e95\u5c42\u7cfb\u7edf\u548c\u6846\u67b6\u6765\u63d0\u9ad8\u7cfb\u7edf\u6548\u7387\uff0c\u5305\u62ec\u4f4e\u6bd4\u7279\u91cf\u5316\u3001\u5e76\u884c\u8ba1\u7b97\u3001\u5185\u5b58\u7ba1\u7406\u3001\u8bf7\u6c42\u8c03\u5ea6\u3001\u548c\u5185\u6838\u4f18\u5316<\/strong>\u7b49\u7b49\uff0c\u8be6\u7ec6\u5185\u5bb9\u53ef\u4ee5\u53c2\u89c1\u8bba\u6587\u539f\u6587\u3002<\/p>\n

          \u8f6f\u4ef6\u6846\u67b6<\/h4>\n

          \"\u56fe\u7247\"<\/p>\n

          \u8bba\u6587\u8fd8\u5bf9\u4e00\u4e9b\u76ee\u524d\u6700\u5148\u8fdb\u7684\u57fa\u4e8e GPU \u7684\u5f00\u6e90 LLM \u63a8\u7406\u7cfb\u7edf\u8fdb\u884c\u4e86\u6df1\u5165\u7684\u5206\u6790\uff0c\u5e76\u4ece\u591a\u4e2a\u65b9\u9762\u603b\u7ed3\u4e86\u5b83\u4eec\u5728\u8bbe\u8ba1\u4e0e\u5b9e\u73b0\u4f24\u7684\u5dee\u5f02\u3002<\/p>\n

          \u672a\u6765\u65b9\u5411<\/h4>\n
            \n
          • \u4e13\u7528\u786c\u4ef6\u52a0\u901f\u5668\u7684\u53d1\u5c55<\/strong>\uff1a\u751f\u6210\u578b LLM \u670d\u52a1\u6548\u7387\u7684\u663e\u8457\u63d0\u5347\u53ef\u80fd\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4f9d\u8d56\u4e8e\u4e13\u7528\u786c\u4ef6\u52a0\u901f\u5668\u7684\u53d1\u5c55\u548c\u63d0\u5347\uff0c\u5c24\u5176\u662f\u8f6f\u786c\u534f\u540c\u8bbe\u8ba1\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u8ba9\u5185\u5b58\u5355\u5143\u66f4\u52a0\u63a5\u8fd1\u5904\u7406\u5355\u5143\uff0c\u6216\u662f\u9488\u5bf9 LLM \u7b97\u6cd5\u6570\u636e\u6d41\u4f18\u5316\u82af\u7247\u67b6\u6784\uff0c\u8fd9\u4e9b\u786c\u4ef6\u4f18\u5316\u53ef\u4ee5\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4e3a LLM \u63a8\u7406\u5728\u8f6f\u4ef6\u5c42\u9762\u5e26\u6765\u4fbf\u5229\u548c\u673a\u4f1a\u3002<\/li>\n
          • \u9ad8\u6548\u6709\u6548\u7684\u89e3\u7801\u7b97\u6cd5<\/strong>\uff1a\u5f00\u53d1\u66f4\u9ad8\u6548\u7684\u89e3\u7801\u7b97\u6cd5\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u670d\u52a1\u6548\u7387\u3002\u53d7\u5bf9\u5b9e\u65f6\u5e94\u7528\u66f4\u5feb\u751f\u6210\u901f\u5ea6\u7684\u9700\u6c42\u9a71\u52a8\uff0c\u4e00\u4e2a\u6709\u524d\u9014\u7684\u65b9\u5411\u662f\u5e7f\u4e49\u7684\u6295\u673a\u5f0f\u63a8\u7406\uff08generalized speculative inference\uff09\uff0c\u4e0d\u4ec5\u4f1a\u5e26\u6765\u663e\u8457\u52a0\u901f\uff0c\u540c\u65f6\u4fdd\u6301\u76f8\u540c\u7684\u751f\u6210\u8d28\u91cf\u3002\u6b63\u5982 SpecInfer \u4e2d\u6240\u6307\u51fa\u7684\uff0c\u5e7f\u4e49\u7684\u6295\u673a\u5f0f\u63a8\u7406\u4e2d\uff0c\u7528\u4e8e\u751f\u6210\u8349\u7a3f token \u7684\u5c0f\u6a21\u578b\u53ef\u4ee5\u88ab\u66ff\u6362\u4e3a\u4efb\u4f55\u5feb\u901f\u7684 token \u751f\u6210\u65b9\u6cd5\uff0c\u6bd4\u5982\u81ea\u5b9a\u4e49\u51fd\u6570\u3001\u53ec\u56de\u65b9\u6cd5\u3001\u751a\u81f3\u65e9\u505c\u673a\u5236\u548c\u975e\u81ea\u56de\u5f52\u89e3\u7801\u7b49\u7b49\u3002<\/li>\n
          • \u957f\u4e0a\u4e0b\u6587 \/ \u5e8f\u5217\u573a\u666f\u4f18\u5316<\/strong>\uff1a\u968f\u7740\u5e94\u7528\u573a\u666f\u53d8\u5f97\u66f4\u52a0\u590d\u6742\uff0c\u5904\u7406\u66f4\u957f\u7684\u4e0a\u4e0b\u6587\u6216\u5e8f\u5217\u7684\u9700\u6c42\u4e0d\u65ad\u589e\u957f\u3002\u670d\u52a1\u957f\u5e8f\u5217\u8d1f\u8f7d\u7684 LLM \u9700\u8981\u89e3\u51b3\u7b97\u6cd5\u548c\u7cfb\u7edf\u4e24\u65b9\u9762\u7684\u6311\u6218\u3002\u5728\u7b97\u6cd5\u65b9\u9762\uff0c\u5b83\u4eec\u4f9d\u7136\u9762\u4e34\u957f\u5ea6\u6cdb\u5316\u5931\u6548\u95ee\u9898\uff0c\u751a\u81f3\u53ef\u80fd\u51fa\u73b0 \u201closs in the middle\u201d \u7684\u60c5\u51b5\u3002\u76ee\u524d\u7684\u89e3\u6cd5\u4e3b\u8981\u662f\u901a\u8fc7\u53ec\u56de\u589e\u5f3a\u3001\u5e8f\u5217\u538b\u7f29\u548c\u7f13\u5b58\u6765\u5c3d\u53ef\u80fd\u7f29\u77ed\u5e8f\u5217\u957f\u5ea6\u5e76\u4fdd\u5b58\u76f8\u5173\u4fe1\u606f\u3002<\/li>\n
          • \u63a2\u7d22\u66ff\u4ee3\u57fa\u7840\u67b6\u6784<\/strong>\uff1a\u5c3d\u7ba1 Transformer \u6a21\u578b\u548c\u81ea\u6ce8\u610f\u529b\u673a\u5236\u76ee\u524d\u4e3b\u5bfc\u7740 LLM \u9886\u57df\uff0c\u4f46\u63a2\u7d22\u66ff\u4ee3\u67b6\u6784\u662f\u672a\u6765\u7814\u7a76\u7684\u4e00\u4e2a\u6709\u524d\u666f\u7684\u65b9\u5411\u3002\u4f8b\u5982\uff0c\u4e00\u4e9b\u6700\u65b0\u7814\u7a76\u63a2\u7d22\u4e86\u65e0\u6ce8\u610f\u529b\u65b9\u6cd5\uff0c\u4f7f\u7528\u7eaf MLP\uff08\u591a\u5c42\u611f\u77e5\u673a\uff09\u67b6\u6784\u6765\u66ff\u4ee3\u6ce8\u610f\u529b\u673a\u5236\uff0c\u53ef\u80fd\u4f1a\u6539\u53d8\u76ee\u524d LLM \u63a8\u7406\u4f18\u5316\u7684\u683c\u5c40\u3002<\/li>\n
          • \u5728\u590d\u6742\u73af\u5883\u4e2d\u7684\u90e8\u7f72\u63a2\u7d22<\/strong>\uff1a\u968f\u7740 LLM \u5e94\u7528\u7684\u6269\u5c55\uff0c\u63a2\u7d22\u5e76\u4f18\u5316\u5b83\u4eec\u5728\u5404\u79cd\u590d\u6742\u73af\u5883\u4e2d\u7684\u90e8\u7f72\u6210\u4e3a\u4e00\u4e2a\u5173\u952e\u7684\u672a\u6765\u65b9\u5411\u3002\u8fd9\u4e00\u63a2\u7d22\u4e0d\u4ec5\u9650\u4e8e\u4f20\u7edf\u7684\u57fa\u4e8e\u4e91\u7684\u90e8\u7f72\uff0c\u8fd8\u5305\u62ec\u8fb9\u7f18\u8ba1\u7b97\u3001\u6df7\u5408\u8ba1\u7b97\uff08cloud+edge\uff09\u3001\u53bb\u4e2d\u5fc3\u5316\u8ba1\u7b97\u4ee5\u53ca\u5ec9\u4ef7\u7684\u53ef\u62a2\u5360\u8d44\u6e90\u7b49\u3002<\/li>\n
          • \u7279\u5b9a\u9700\u6c42\u7684\u81ea\u52a8\u9002\u5e94<\/strong>\uff1a\u5e94\u7528\u7279\u5b9a\u9700\u6c42\u7684\u591a\u6837\u6027\u521b\u9020\u4e86\u4e00\u7cfb\u5217\u521b\u65b0\u7684 LLM \u670d\u52a1\u4f18\u5316\u673a\u4f1a\uff0c\u4f8b\u5982\u6a21\u578b\u5fae\u8c03\uff08parameter-efficient fine-tuning\uff09\u3001\u5411\u91cf\u6570\u636e\u5e93\u68c0\u7d22\u3001\u591a\u6a21\u6001\u8d1f\u8f7d\u7b49\u7b49\u3002\u8fd9\u4e9b\u72ec\u7279\u7684\u6311\u6218\u4e5f\u8981\u6c42\u5c06 LLM \u670d\u52a1\u6280\u672f\u81ea\u52a8\u4e14\u987a\u5229\u5730\u96c6\u6210\u5230\u73b0\u6709 IT \u57fa\u7840\u8bbe\u65bd\u4e2d\uff0c\u5c06\u4f18\u5316\u7a7a\u95f4\u6269\u5c55\u5230\u6574\u4e2a LLM \u751f\u547d\u5468\u671f\u3002<\/li>\n<\/ul>\n

            \u603b\u7ed3<\/h4>\n

            \u603b\u7684\u6765\u8bf4\uff0c\u8be5\u7efc\u8ff0\u4e0d\u4ec5\u662f\u5bf9\u5f53\u524d LLM \u670d\u52a1\u4f18\u5316\u7814\u7a76\u7684\u5168\u9762\u6982\u8ff0\uff0c\u4e5f\u4e3a\u672a\u6765\u5728\u8fd9\u4e00\u9886\u57df\u7684\u63a2\u7d22\u548c\u53d1\u5c55\u6307\u660e\u4e86\u65b9\u5411\u3002\u901a\u8fc7\u6df1\u5165\u4e86\u89e3\u8fd9\u4e9b\u5148\u8fdb\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u7814\u7a76\u8005\u548c\u5b9e\u8df5\u8005\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u5bf9\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u90e8\u7f72\u5927\u578b\u8bed\u8a00\u6a21\u578b\u65f6\u9762\u4e34\u7684\u6311\u6218\u3002<\/p>\n<\/div>\n<\/div>\n

            <\/div>\n

            <\/g><\/svg><\/i> \"Loading\"<\/p>\n

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

            \u8fd1\u65e5\uff0cCMU Catalyst \u56e2\u961f\u63a8\u51fa\u4e86\u4e00\u7bc7\u5173\u4e8e\u9ad8\u6548 LLM \u63a8\u7406\u7684\u7efc\u8ff0\uff0c\u8986\u76d6\u4e86 300 \u4f59\u7bc7\u76f8\u5173\u8bba\u6587\uff0c\u4ece […]<\/p>\n

            <\/div>\n

            <\/g><\/svg><\/i> \"Loading\"<\/p>\n

            <\/div>\n","protected":false},"author":56,"featured_media":17473,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,23,80],"tags":[956],"class_list":["post-17472","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-23","category-80","tag-956"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/17472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=17472"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/17472\/revisions"}],"predecessor-version":[{"id":17478,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/17472\/revisions\/17478"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/17473"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=17472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=17472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=17472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}