{"id":39352,"date":"2025-03-12T03:02:26","date_gmt":"2025-03-11T19:02:26","guid":{"rendered":"https:\/\/17aitech.com\/?p=39352"},"modified":"2025-03-12T03:02:26","modified_gmt":"2025-03-11T19:02:26","slug":"l%c2%b2m%e6%9d%a1%e4%bb%b6%ef%bc%8cmit%e5%9b%a2%e9%98%9f%e4%b8%ba%e9%95%bf%e6%96%87%e6%9c%ac%e5%bb%ba%e6%a8%a1%e5%bb%ba%e7%ab%8b%e6%96%b0%e7%90%86%e8%ae%ba%e6%a1%86%e6%9e%b6","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39352","title":{"rendered":"L\u00b2M\u6761\u4ef6\uff0cMIT\u56e2\u961f\u4e3a\u957f\u6587\u672c\u5efa\u6a21\u5efa\u7acb\u65b0\u7406\u8bba\u6846\u67b6"},"content":{"rendered":"

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

\u7f16\u8f91 | ScienceAI<\/p>\n

\u5728\u8ffd\u6c42\u66f4\u5f3a\u5927\u00a0AI\u00a0\u7cfb\u7edf\u7684\u9053\u8def\u4e0a\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u5904\u7406\u957f\u4e0a\u4e0b\u6587\u7684\u80fd\u529b\u59cb\u7ec8\u662f\u5236\u7ea6\u5176\u53d1\u5c55\u7684\u5173\u952e\u74f6\u9888\u3002<\/p>\n

\u5c3d\u7ba1\u00a0DeepSeek\u3001GPT-4\u3001LLaMA-3\u00a0\u7b49\u9876\u5c16\u6a21\u578b\u5df2\u80fd\u5904\u7406\u6570\u4e07\u00a0token\u00a0\u7684\u6587\u672c\uff0c\u4f46\u5b66\u754c\u5bf9\u300c\u6a21\u578b\u7a76\u7adf\u9700\u8981\u4f55\u79cd\u80fd\u529b\u624d\u80fd\u6709\u6548\u7406\u89e3\u957f\u6587\u672c\u300d\u8fd9\u4e00\u6839\u672c\u95ee\u9898\u4ecd\u7f3a\u4e4f\u7406\u8bba\u6307\u5bfc\u3002<\/p>\n

\u8fd1\u65e5\uff0c\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u00a0Zhuo Chen\u3001Oriol Mayn \u0301e i Comas\u00a0\u3001Zhuotao Jin\u00a0\u3001Di Luo\u00a0\u3001Marin Solja\u010di\u00a0\u9886\u8854\u7684\u7814\u7a76\u56e2\u961f\u63d0\u51fa\u81ea\u7136\u8bed\u8a00\u4e2d\u9690\u85cf\u7684\u4e92\u4fe1\u606f\u7f29\u653e\u5b9a\u5f8b\uff08<\/strong>Mutual Information Scaling Law<\/strong>\uff09<\/strong>\uff0c\u5e76\u7531\u6b64\u63d0\u51fa\u957f\u4e0a\u4e0b\u6587\u8bed\u8a00\u5efa\u6a21\u7684\u00a0L\u00b2M\u00a0<\/strong>\u6761\u4ef6<\/strong>\uff08Long-context Language Modeling condition\uff09\uff0c\u4e3a\u7406\u89e3\u5927\u8bed\u8a00\u6a21\u578b\u7684\u957f\u6587\u672c\u5904\u7406\u80fd\u529b\u5efa\u7acb\u4e86\u9996\u4e2a\u7cfb\u7edf\u5316\u7406\u8bba\u6846\u67b6\u3002<\/p>\n

\u8fd9\u9879\u7814\u7a76\u4e0d\u4ec5\u5b8c\u5584\u4e86\u795e\u7ecf\u7f29\u653e\u5b9a\u5f8b\uff08neural scaling laws\uff09\u4f53\u7cfb\uff0c\u66f4\u63ed\u793a\u4e86\u8bed\u8a00\u6a21\u578b\u80fd\u529b\u589e\u957f\u7684\u9690\u85cf\u7ef4\u5ea6\u3002<\/p>\n

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

\u56fe1<\/p>\n

\u4e00\u3001\u957f\u6587\u672c\u5efa\u6a21\u7684\u672c\u8d28\u6311\u6218\uff1a\u8d85\u8d8a\u4f20\u7edf\u8ba4\u77e5\u7684\u4f9d\u8d56\u5173\u7cfb<\/strong><\/p>\n

\u4f20\u7edf\u89c2\u70b9\u8ba4\u4e3a\uff0c\u81ea\u7136\u8bed\u8a00\u7684\u957f\u7a0b\u4f9d\u8d56\u5173\u7cfb\u53ef\u4ee5\u901a\u8fc7\u300c\u4e24\u70b9\u4e92\u4fe1\u606f\u300d\uff08\u5373\u76f8\u9694\u00a0d\u00a0\u4e2a\u00a0token\u00a0\u7684\u4e24\u4e2a\u8bcd\u4e4b\u95f4\u7684\u7edf\u8ba1\u5173\u8054\uff09\u7684\u5e42\u5f8b\u8870\u51cf\u6765\u63cf\u8ff0\u3002\u8fd9\u4e00\u601d\u8def\u4e0e\u51dd\u805a\u6001\u7269\u7406\u4e2d\u7814\u7a76\u81ea\u65cb\u94fe\u4e24\u70b9\u5173\u8054\u51fd\u6570\u7684\u4f20\u7edf\u65b9\u6cd5\u5f02\u66f2\u540c\u5de5\u2014\u2014\u4e24\u8005\u90fd\u8bd5\u56fe\u901a\u8fc7\u5c40\u90e8\u5173\u8054\u63a8\u6d4b\u5168\u5c40\u6027\u8d28\u3002<\/p>\n

\u8fd9\u79cd\u8ba4\u77e5\u76f4\u63a5\u5f71\u54cd\u4e86\u5f53\u524d\u591a\u6570\u957f\u6587\u672c\u6a21\u578b\u7684\u67b6\u6784\u8bbe\u8ba1\uff0c\u4f8b\u5982\u901a\u8fc7\u4f18\u5316\u6ce8\u610f\u529b\u673a\u5236\u6765\u6355\u6349\u8fdc\u7a0b\u8bcd\u5bf9\u5173\u7cfb\u3002\u4f46\u00a0MIT\u00a0\u56e2\u961f\u901a\u8fc7\u4e25\u8c28\u7684\u7406\u8bba\u63a8\u5bfc\u548c\u5b9e\u9a8c\u8bc1\u660e\uff0c\u8fd9\u79cd\u4f20\u7edf\u8ba4\u77e5\u5b58\u5728\u6839\u672c\u6027\u5c40\u9650\u3002<\/p>\n

\u7814\u7a76\u56e2\u961f\u4ece\u91cf\u5b50\u591a\u4f53\u7cfb\u7edf\u7684\u7ea0\u7f20\u71b5\u5206\u6790\u4e2d\u83b7\u5f97\u5173\u952e\u542f\u793a\uff1a\u6b63\u5982\u91cf\u5b50\u7cfb\u7edf\u4e2d\u7ea0\u7f20\u71b5\u7684\u7f29\u653e\u5b9a\u5f8b\uff08\u5982\u9762\u79ef\u5f8b\u00a0vs\u00a0\u4f53\u79ef\u5f8b\uff09\u80fd\u533a\u5206\u4e0d\u540c\u7269\u8d28\u76f8\uff0c\u81ea\u7136\u8bed\u8a00\u7684\u957f\u7a0b\u4f9d\u8d56\u7ed3\u6784\u9700\u8981\u66f4\u672c\u8d28\u7684\u5168\u5c40\u5ea6\u91cf\u3002<\/p>\n

\u56e2\u961f\u63d0\u51fa\u4e86\u300c\u4e8c\u5206\u4e92\u4fe1\u606f\u300d\uff08Bipartite Mutual Information\uff09\u8fd9\u4e00\u5168\u65b0\u5ea6\u91cf\uff1a\u5c06\u957f\u5ea6\u4e3aL\u7684\u6587\u672c\u5757\u5747\u5206\u4e3a\u524d\u6bb5X\u548c\u540e\u6bb5Y\uff0c\u8ba1\u7b97\u4e24\u8005\u4e4b\u95f4\u7684\u6574\u4f53\u7edf\u8ba1\u4f9d\u8d56\uff08\u56fe\u00a01a\uff09\u3002<\/p>\n

\u901a\u8fc7\u4f7f\u7528\u00a0LLaMA-3.1 405B\u00a0\u7b49\u5148\u8fdb\u6a21\u578b\u4f5c\u4e3a\u6982\u7387\u5206\u5e03\u4f30\u8ba1\u5668\uff0c\u4ed6\u4eec\u5728\u00a0PG19\u00a0\u7ecf\u5178\u6587\u732e\u6570\u636e\u96c6\u548c\u7ef4\u57fa\u767e\u79d1\u8bed\u6599\u4e0a\u53d1\u73b0\uff0c\u4e8c\u5206\u4e92\u4fe1\u606f\u5448\u73b0\u660e\u786e\u7684\u5e42\u5f8b\u589e\u957f\u7279\u6027\uff08I ~ L^\u03b2\uff09\uff0c\u4e0e\u4e24\u70b9\u4e92\u4fe1\u606f\u7684\u5e42\u5f8b\u8870\u51cf\u5f62\u6210\u9c9c\u660e\u5bf9\u6bd4\uff08\u56fe\u00a01b,c vs e,f\uff09\u3002<\/p>\n

\u300c\u8fd9\u5c31\u50cf\u6bd4\u8f83\u4e24\u4e2a\u4eba\u4e4b\u95f4\u7684\u7535\u8bdd\u8054\u7cfb\u548c\u4e24\u4e2a\u57ce\u5e02\u4e4b\u95f4\u7684\u7ecf\u6d4e\u5f80\u6765\u3002\u300d\u8bba\u6587\u7b2c\u4e00\u4f5c\u8005\u00a0Zhuo Chen\u00a0\u89e3\u91ca\u9053\uff0c\u300c\u4e24\u70b9\u4e92\u4fe1\u606f\u53ea\u80fd\u6355\u6349\u5b64\u7acb\u7684\u8fdc\u7a0b\u8bcd\u5bf9\u5173\u8054\uff0c\u800c\u4e8c\u5206\u4e92\u4fe1\u606f\u63ed\u793a\u4e86\u6587\u672c\u5757\u4e4b\u95f4\u590d\u6742\u7684\u6574\u4f53\u4f9d\u8d56\u5173\u7cfb\u3002\u5f53\u6211\u4eec\u8981\u5904\u7406\u6574\u672c\u5c0f\u8bf4\u6216\u957f\u7bc7\u5bf9\u8bdd\u65f6\uff0c\u540e\u8005\u624d\u662f\u771f\u6b63\u7684\u5173\u952e\u3002\u300d<\/p>\n

\u4e8c\u3001L\u00b2M\u00a0<\/strong>\u6761\u4ef6\uff1a\u6a21\u578b\u80fd\u529b\u7684\u5206\u6c34\u5cad<\/strong><\/p>\n

\u57fa\u4e8e\u8fd9\u4e00\u53d1\u73b0\uff0c\u7814\u7a76\u56e2\u961f\u5efa\u7acb\u4e86\u957f\u4e0a\u4e0b\u6587\u8bed\u8a00\u5efa\u6a21\u7684\u00a0L\u00b2M\u00a0\u6761\u4ef6\uff08Long-context Language Modeling condition\uff09\u3002\u8be5\u5b9a\u7406\u8bc1\u660e\uff1a\u6a21\u578b\u5b58\u50a8\u5386\u53f2\u4fe1\u606f\u7684\u9690\u72b6\u6001\u7ef4\u5ea6\u5fc5\u987b\u81f3\u5c11\u4ee5\u4e8c\u5206\u4e92\u4fe1\u606f\u7684\u589e\u901f\uff08L^\u03b2\uff09\u589e\u957f\uff0c\u624d\u80fd\u6709\u6548\u6355\u6349\u957f\u7a0b\u4f9d\u8d56\u3002<\/p>\n

\u8fd9\u4e00\u7406\u8bba\u7a81\u7834\u63ed\u793a\u4e86\u4e0d\u540c\u67b6\u6784\u7684\u672c\u8d28\u5dee\u5f02\uff1a<\/p>\n

Transformer\u00a0<\/strong>\u7c7b\u6a21\u578b<\/strong>\uff1a\u901a\u8fc7\u5b58\u50a8\u6240\u6709\u5386\u53f2\u00a0token\u00a0\u7684\u00a0key-value\u00a0\u5bf9\uff0c\u9690\u72b6\u6001\u7ef4\u5ea6\u81ea\u7136\u968f\u5e8f\u5217\u957f\u5ea6\u7ebf\u6027\u589e\u957f\uff08~L\uff09\uff0c\u81ea\u52a8\u6ee1\u8db3 L\u00b2M\u00a0\u6761\u4ef6
<\/strong><\/p>\n

SSM\u00a0<\/strong>\u72b6\u6001\u7a7a\u95f4\u6a21\u578b<\/strong>\uff1a\u56fa\u5b9a\u5927\u5c0f\u7684\u9690\u72b6\u6001\u5bfc\u81f4\u5176\u5fc5\u987b\u968f\u5e8f\u5217\u589e\u957f\u800c\u6269\u5927\u6a21\u578b\u89c4\u6a21\uff0c\u624d\u80fd\u7ef4\u6301\u957f\u6587\u672c\u5904\u7406\u80fd\u529b \u00a0\u00a0<\/p>\n

\u7a00\u758f\u6ce8\u610f\u529b\u6a21\u578b<\/strong>\uff1a\u5176\u6709\u6548\u9690\u72b6\u6001\u7ef4\u5ea6\u53d6\u51b3\u4e8e\u6ce8\u610f\u529b\u6a21\u5f0f\u7684\u8bbe\u8ba1\uff0c\u9700\u5177\u4f53\u5206\u6790\u662f\u5426\u6ee1\u8db3\u00a0L\u00b2M\u00a0\u6761\u4ef6<\/p>\n

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

\u56fe 2<\/p>\n

\u7814\u7a76\u56e2\u961f\u901a\u8fc7\u5408\u6210\u6570\u636e\u96c6\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u8fd9\u4e00\u7406\u8bba\uff08\u56fe\u00a02\uff09\u3002\u5728\u6a21\u62df\u81ea\u7136\u8bed\u8a00\u4e92\u4fe1\u606f\u7279\u6027\u7684\u9ad8\u65af\u5206\u5e03\u4e0a\uff0cTransformer\u00a0\u5728\u4e0d\u540c\u957f\u5ea6\u4e0b\u4fdd\u6301\u7a33\u5b9a\u7684\u00a0KL\u00a0\u6563\u5ea6\uff0c\u800c\u00a0Mamba\u00a0\u7c7b\u6a21\u578b\u968f\u7740\u5e8f\u5217\u5ef6\u957f\u6027\u80fd\u663e\u8457\u4e0b\u964d\uff0c\u5fc5\u987b\u589e\u5927\u6a21\u578b\u5c3a\u5bf8\u624d\u80fd\u5339\u914d\u00a0Transformer\u00a0\u7684\u8868\u73b0\u3002<\/p>\n

\u4e09\u3001\u5b9e\u9a8c\u9a8c\u8bc1\uff1a\u6a21\u578b\u8868\u73b0\u4e0e\u7406\u8bba\u9884\u6d4b\u9ad8\u5ea6\u543b\u5408<\/strong><\/p>\n

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

\u56fe 3<\/p>\n

\u5728\u00a0PG19\u00a0\u771f\u5b9e\u6570\u636e\u96c6\u5b9e\u9a8c\u4e2d\uff08\u56fe\u00a03\uff09\uff0c\u7814\u7a76\u56e2\u961f\u89c2\u5bdf\u5230\u663e\u8457\u7684\u4f4d\u7f6e\u76f8\u5173\u6027\u80fd\u5dee\u5f02\uff1a\u5f53\u5904\u7406\u00a04096 token\u00a0\u6587\u672c\u7684\u540e\u534a\u6bb5\u65f6\uff0c355M\u00a0\u53c2\u6570\u7684\u00a0GPT-2 Medium\u00a0\u4e0e\u00a0790M\u00a0\u53c2\u6570\u7684\u00a0Mamba\u00a0\u6a21\u578b\u8fbe\u5230\u76f8\u8fd1\u6027\u80fd\uff0c\u800c\u53c2\u6570\u66f4\u5c0f\u7684\u00a0Mamba-130M\u00a0\u5728\u540e\u534a\u6bb5\u663e\u8457\u52a3\u4e8e\u540c\u4f53\u91cf\u00a0Transformer\u3002\u8fd9\u4e0e\u00a0L\u00b2M\u00a0\u6761\u4ef6\u7684\u9884\u6d4b\u5b8c\u5168\u4e00\u81f4\u2014\u2014Transformer\u00a0\u7684\u9690\u72b6\u6001\u81ea\u7136\u6269\u5bb9\u7279\u6027\u4f7f\u5176\u5728\u957f\u4e0a\u4e0b\u6587\u5efa\u6a21\u4e2d\u5177\u6709\u67b6\u6784\u4f18\u52bf\u3002<\/p>\n

\u300c\u8fd9\u89e3\u91ca\u4e86\u4e3a\u4ec0\u4e48\u00a0Mamba\u00a0\u7b49\u7ebf\u6027\u590d\u6742\u5ea6\u6a21\u578b\u5728\u5b9e\u9645\u957f\u6587\u672c\u4efb\u52a1\u4e2d\u6709\u65f6\u8868\u73b0\u4e0d\u53ca\u9884\u671f\u3002\u300dZhuo Chen\u00a0\u6307\u51fa\uff0c\u300c\u6211\u4eec\u7684\u7406\u8bba\u4e0d\u662f\u5426\u5b9a\u8fd9\u4e9b\u67b6\u6784\u7684\u4ef7\u503c\uff0c\u800c\u662f\u4e3a\u6539\u8fdb\u8bbe\u8ba1\u6307\u660e\u65b9\u5411\uff1a\u8981\u4e48\u63a5\u53d7\u6a21\u578b\u5c3a\u5bf8\u7684\u6269\u5bb9\u9700\u6c42\uff0c\u8981\u4e48\u91cd\u65b0\u8bbe\u8ba1\u9690\u72b6\u6001\u7684\u5b58\u50a8\u673a\u5236\u3002\u300d<\/p>\n

\u56db\u3001\u7406\u8bba\u6307\u5bfc\u5b9e\u8df5\uff1a\u4e0b\u4e00\u4ee3\u6a21\u578b\u7684\u8fdb\u5316\u65b9\u5411<\/strong><\/p>\n

\u8fd9\u9879\u7814\u7a76\u4e3a\u00a0AI\u00a0\u7cfb\u7edf\u7684\u8fdb\u5316\u63d0\u4f9b\u4e86\u591a\u91cd\u542f\u793a\uff1a<\/p>\n

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