{"id":34801,"date":"2024-12-13T08:57:40","date_gmt":"2024-12-13T00:57:40","guid":{"rendered":"https:\/\/17aitech.com\/?p=34801"},"modified":"2024-12-13T08:57:40","modified_gmt":"2024-12-13T00:57:40","slug":"llama-%e5%af%b9%e5%86%b3-gpt%ef%bc%9aai-%e5%bc%80%e6%ba%90%e6%8b%90%e7%82%b9%e5%b7%b2%e8%87%b3%ef%bd%9c%e6%99%ba%e8%80%85%e8%ae%bf%e8%b0%88","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34801","title":{"rendered":"Llama \u5bf9\u51b3 GPT\uff1aAI \u5f00\u6e90\u62d0\u70b9\u5df2\u81f3?\uff5c\u667a\u8005\u8bbf\u8c08"},"content":{"rendered":"

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Meta \u53d1\u5e03 Llama 3.1 405B\uff0c\u5f00\u653e\u6743\u91cd<\/mark>\u5927\u6a21\u578b\u7684\u6027\u80fd\u8868\u73b0\u9996\u6b21\u4e0e\u4e1a\u5185\u9876\u7ea7\u5c01\u95ed\u5927\u6a21\u578b\u6bd4\u80a9\uff0cAI \u884c\u4e1a\u4f3c\u4e4e\u6b63\u8d70\u5411\u4e00\u4e2a\u5173\u952e\u7684\u5206\u53c9\u70b9\u3002\u624e\u514b\u4f2f\u683c\u4eb2\u81ea\u64b0\u6587\uff0c\u575a\u5b9a\u8868\u660e\u300c\u5f00\u6e90 AI \u5373\u672a\u6765<\/a>\u300d\uff0c\u518d\u6b21\u5c06\u5f00\u6e90\u4e0e\u5c01\u95ed\u7684\u4e89\u8bba\u63a8\u5411\u821e\u53f0\u4e2d\u592e\u3002<\/p>\n

\u56de\u671b\u8fc7\u53bb\uff0cOpenAI \u4ece\u5f00\u6e90\u5230\u5c01\u95ed\u7684\u8f6c\u53d8\uff0c\u6298\u5c04\u51fa AI \u9886\u57df\u5728\u5b89\u5168\u98ce\u9669\u3001\u5546\u4e1a\u5229\u76ca\u3001\u6280\u672f\u7406\u60f3\u7b49\u65b9\u9762\u7684\u535a\u5f08\u4e0e\u6743\u8861\u3002\u5c55\u671b\u672a\u6765\uff0c\u968f\u7740\u5f00\u653e\u6743\u91cd<\/mark>\u5927\u6a21\u578b\u7684\u65e5\u76ca\u5f3a\u5927\uff0c\u5f00\u6e90 AI \u662f\u5426\u771f\u80fd\u6210\u4e3a\u884c\u4e1a\u6807\u51c6\uff1f<\/p>\n

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\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u5927\u5bb6\u597d\uff0c\u6b22\u8fce\u6765\u5230\u300c\u667a\u8005\u8bbf\u8c08\u300d\uff0c\u4eca\u5929\u6211\u4eec\u7684\u4e3b\u9898\u662f\u300c\u6280\u672f\u53d1\u5c55\u4e2d\u3001\u5de8\u5934\u535a\u5f08\u4e0b\u7684 AI \u5f00\u6e90\u300d\u3002\u5f00\u6e90\u4e00\u76f4\u4ee5\u6765\u90fd\u662f AI \u793e\u533a\u6240\u5173\u6ce8\u7684\u4e3b\u9898\u4e4b\u4e00\u3002\u4e0d\u8fc7\u968f\u7740 AI \u80fd\u529b\u7684\u589e\u5f3a\uff0c\u5c24\u5176\u662f\u5927\u6a21\u578b\u51fa\u73b0\u4ee5\u540e\uff0c\u4e0d\u628a\u7814\u7a76\u6210\u679c\u5b8c\u5168\u5f00\u6e90\u4e5f\u6210\u4e86\u4e00\u79cd\u4e3b\u6d41\u7684\u505a\u6cd5\uff0c\u5f53\u7136\u8fd9\u4e5f\u5f15\u53d1\u4e86\u8bf8\u591a\u7684\u4e89\u8bae\uff0c\u5728\u8fd9\u6837\u7684\u80cc\u666f\u4e0b\uff0cAI \u5f00\u6e90\u5c06\u5982\u4f55\u53d1\u5c55\uff1f\u4eca\u5929\u6211\u4eec\u975e\u5e38\u9ad8\u5174\u5730\u8bf7\u5230\u4e86 AI \u5f00\u6e90\u751f\u6001\u4e13\u5bb6\u9ec4\u4e4b\u9e4f\u5148\u751f\u4e00\u8d77\u63a2\u8ba8\u3002<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u4e5f\u975e\u5e38\u9ad8\u5174\u4eca\u5929\u6765\u8fd9\u91cc\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u8bf4\u5230 AI \u5f00\u6e90\uff0c\u73b0\u5728\u4e1a\u754c\u6700\u6d41\u884c\u7684\u4e00\u4e2a\u6897\u5c31\u662f OpenAI \u53d8\u6210 CloseAI\u3002\u60a8\u89c9\u5f97 OpenAI \u4ece\u5f00\u6e90\u8d70\u5411\u95ed\u6e90\uff0c\u80cc\u540e\u7684\u6df1\u5c42\u539f\u56e0\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u5bf9\u4e8e OpenAI \u6765\u8bf4\uff0c\u6211\u4eec\u5982\u679c\u8003\u5bdf\u5b83\u7684\u5386\u53f2\uff0c\u6574\u4e2a\u7684\u53d8\u8fc1\u5e94\u8be5\u8bf4\u662f\u633a\u6b63\u5e38\u7684\u4e00\u4e2a\u8f6c\u53d8\u3002OpenAI \u6700\u65e9\u8bbe\u7acb\u7684\u65f6\u5019\uff0c\u786e\u5b9e\u662f\u6309\u7167\u975e\u8425\u5229\u673a\u6784\u5728\u8fd0\u4f5c\uff0c\u6240\u4ee5 GPT-1\u3001GPT-2<\/mark> \u57fa\u672c\u4e0a\u90fd\u662f\u5f00\u6e90\u7684\uff0c\u7f8e\u56fd\u5bf9\u975e\u8425\u5229\u673a\u6784\u4e5f\u6709\u5ba2\u89c2\u7684\u8981\u6c42\uff0c\u6240\u4ee5\u5b83\u5fc5\u987b\u8981\u5f00\u6e90\u3002\u8f6c\u6298\u70b9\u5927\u6982\u51fa\u73b0\u5728 2019 \u5e74\uff0c\u5fae\u8f6f\u5f00\u59cb\u6ce8\u8d44\uff0c\u5176\u524d\u63d0\u662f Sam Altman \u6539\u4e86\u516c\u53f8\u7ed3\u6784\uff0c\u641e\u4e86\u4e00\u4e2a\u5546\u4e1a\u5b9e\u4f53\u51fa\u6765\uff0c\u8ba9\u5b83\u53ef\u4ee5\u63a5\u53d7\u6ce8\u8d44\u3002\u6240\u4ee5 OpenAI \u8f6c\u53d8\u6210\u4e00\u4e2a\u4ee5\u5546\u4e1a\u7ed3\u679c\u4e3a\u5bfc\u5411\u7684\u673a\u6784\uff0c\u800c\u5176\u6838\u5fc3\u7ade\u4e89\u529b\u5728\u5f53\u65f6\u57fa\u672c\u4e0a\u8fd8\u662f\u6a21\u578b\u672c\u8eab\uff0c\u90a3\u5bf9\u4e8e OpenAI \u6765\u8bf4\uff0c\u5f00\u6e90\u786e\u5b9e\u5c31\u4e0d\u662f\u9996\u9009\u9879\uff0c\u56e0\u4e3a\u5b83\u5df2\u7ecf\u4e0d\u662f\u4ee5\u7814\u7a76\u6216\u8005\u8bf4\u4ee5\u5171\u4eab\u7814\u7a76\u6210\u679c\u4e3a\u76ee\u7684\u4e86\uff0c\u6240\u4ee5\u4ece GPT-3 \u5f00\u59cb\uff0c\u5c31\u57fa\u672c\u4e0a\u662f\u95ed\u6e90\u7684\u72b6\u6001\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u4e0d\u8fc7\u5f53\u65f6\u4ed6\u4eec\u5b98\u65b9\u7684\u53e3\u5f84\u662f\u51fa\u4e8e\u5b89\u5168\u8003\u8651\uff0c\u4e0d\u516c\u5f00\u4ee3\u7801\uff0c\u62c5\u5fc3\u4f1a\u88ab\u6ee5\u7528\u3002<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u6211\u89c9\u5f97\u90e8\u5206\u5e94\u8be5\u662f\u5b9e\u8bdd\uff0c\u4ee5 Ilya Sutskever \u4e3a\u4ee3\u8868\u7684\uff0c\u6216\u8005\u8bf4\u6700\u65e9\u7684 OpenAI \u7684 alignment team\uff0c\u5bf9\u4eba\u7c7b\u7684\u5b89\u5168\uff0c\u4ed6\u4eec\u786e\u5b9e\u6709\u8fd9\u4e2a\u62c5\u5fc3\u3002\u5f53\u7136\u540e\u9762\u6211\u89c9\u5f97\u53ef\u80fd\u591a\u591a\u5c11\u5c11\u662f\u4e00\u4e2a\u8bf4\u8f9e\u3002<\/p>\n

\u6211\u89c9\u5f97\u300c\u5bf9\u9f50\u300d\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u88ab\u5938\u5f20\u4e86\u3002\u6211\u4e00\u76f4\u4ee5\u6765\u7684\u89c2\u70b9\u662f\uff0c\u5f53\u4f60\u7814\u53d1\u4e00\u4e2a\u5927\u6a21\u578b\u51fa\u6765\u4e4b\u540e\uff0c\u6bd4\u5982\u8bf4\u8981\u505a\u5230\u5bf9\u5f53\u5730\u7684\u6cd5\u5f8b\u6cd5\u89c4\u3001\u4e60\u4fd7\u7b49\u7684\u9075\u4ece\uff0c\u4ee5\u8fd9\u4e2a\u4e3a\u76ee\u7684\u505a\u76f8\u5e94\u7684 alignment\uff0c\u662f\u975e\u5e38\u5408\u7406\u7684\u3002<\/p>\n

\u4f46\u662f\uff0c\u73b0\u5728\u5317\u7f8e\u5bf9\u4e8e alignment \u5176\u5b9e\u6709\u4e00\u70b9\u8fc7\u706b\uff0c\u4f53\u73b0\u5728\u6709\u4e00\u79cd\u4e13\u5bb6\u7684\u81ea\u8d1f\u5728\u91cc\u9762\uff0c\u5c24\u5176\u662f\u8fd9\u4e9b\u5bf9\u9f50 team \u7684\u4e13\u5bb6\uff0c\u4ed6\u4eec\u4f1a\u5448\u73b0\u51fa\u6765\u4e00\u79cd\u503e\u5411\uff0c\u5c31\u662f\u6211\u8ba4\u4e3a\u4ec0\u4e48\u662f\u5bf9\u4eba\u7c7b\u5b89\u5168\u7684\uff0c\u6211\u8ba4\u4e3a\u4ec0\u4e48\u662f\u597d\u7684\uff0c\u90a3\u6211\u5e0c\u671b\u6a21\u578b\u8981\u5bf9\u9f50\u5230\u8fd9\u4e2a\u7a0b\u5ea6\uff0c\u8fd9\u5c31\u6709\u4e00\u70b9\u591a\u4f59\u4e86\u3002<\/p>\n

\u53e6\u5916\uff0cAnthropic \u4e5f\u63ed\u9732\u8fc7\uff0c\u5bf9\u9f50\u5728\u8bad\u7ec3\u6a21\u578b\u4e0a\u4e5f\u662f\u4e00\u4e2a\u6210\u672c\uff0c\u4ed6\u4eec\u4e13\u95e8\u6709\u4e00\u4e2a\u8bcd\u53eb alignment tax\uff0c\u5c31\u662f\u4f60\u7528\u77e5\u8bc6\u538b\u7f29\u4e00\u4e2a\u6a21\u578b\u51fa\u6765\uff0c\u9664\u4e86\u8be5\u5bf9\u9f50\u7684\u4e4b\u5916\uff0c\u975e\u8981\u8ba9\u6211\u8fd9\u4e9b\u8bdd\u4e0d\u80fd\u8bf4\uff0c\u90a3\u4e9b\u8bcd\u4e0d\u80fd\u7528\uff0c\u53ef\u80fd\u6d89\u53ca\u5230\u5f88\u591a\u653f\u6cbb\u6b63\u786e\u7684\uff0c\u8fd9\u5bf9\u8bad\u7ec3\u672c\u8eab\u6765\u8bf4\u4e5f\u662f\u4e00\u4e2a\u6210\u672c\uff0c\u6709\u53ef\u80fd\u4f1a\u5f71\u54cd\u5230\u6a21\u578b\u5f88\u591a\u5176\u4ed6\u7684\u8868\u73b0\u3002\u6240\u4ee5\u6bcf\u505a\u5b8c\u4e00\u6b21\u5bf9\u9f50\u540e\uff0c\u8fd8\u5f97\u6d4b\u8bd5\u5b83\u662f\u4e0d\u662f\u5bf9\u5176\u4ed6\u4ea7\u751f\u5f71\u54cd\uff0c\u4e07\u4e00\u4ea7\u751f\u4e86\u5173\u8054\u5f71\u54cd\uff0c\u8fd8\u5f97\u770b\u600e\u4e48\u53bb\u8c03\u6574\u3002\u6240\u4ee5\u5ba2\u89c2\u6210\u672c\u4e0a\u6765\u8bf4\uff0c\u5176\u5b9e\u662f\u5f15\u5165\u4e86\u989d\u5916\u7684\u8d1f\u62c5\u3002<\/p>\n

\u6700\u8fd1\u6709\u4e00\u7bc7\u8bba\u6587\u53eb OR-Bench\uff0cOR \u6307 over refusal\uff0c\u8fd9\u4e2a bench \u5c31\u770b\u5f88\u591a\u6240\u8c13\u7684\u6b63\u5e38\u95ee\u9898\uff0c\u6709\u53ef\u80fd\u4f1a\u56e0\u4e3a\u4ef7\u503c\u89c2\u5bf9\u9f50\uff0c\u5927\u6a21\u578b\u62d2\u7edd\u56de\u7b54\u7684\u6982\u7387\uff0c\u8fd9\u5f20\u56fe\u663e\u793a\u51fa\u6765\u4e00\u4e2a\u5f88\u6709\u8da3\u7684\u8d8b\u52bf\uff0c\u6240\u6709 GPT \u73b0\u5728\u80fd\u6253\u7684\u7248\u672c\uff0crefusal \u7387\u5176\u5b9e\u90fd\u4e0d\u662f\u5f88\u9ad8\u4e86\uff0c\u53cd\u800c\u662f\u5927\u5bb6\u5370\u8c61\u91cc\u9762\uff0c\u4e0d\u600e\u4e48\u505a\u5bf9\u9f50\u7684\uff0c\u62d2\u7edd\u7387\u5f88\u9ad8\u3002<\/p>\n

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\u6700\u540e\u66f4\u65b0\u4e8e 2024 \u5e74 6 \u6708\u7684 arXiv \u8bba\u6587 OR-Bench\uff0c\u5bf9\u5e38\u89c1 LLM \u62d2\u7edd\u751f\u6210\u6587\u672c\u7684\u80fd\u529b\u8fdb\u884c\u4e86\u7814\u7a76\uff0c\u5f3a\u8c03\u4e86\u6a21\u578b\u5b89\u5168\u6027\u4e0e\u5176\u8fc7\u5ea6\u62d2\u7edd\u7387\u4e4b\u95f4\u7684\u6743\u8861\u3002\u8bba\u6587\u5730\u5740\uff1aarxiv.org\/pdf\/2405.20947<\/p>\n

\u5927\u5bb6\u523b\u677f\u504f\u89c1 Llama \u5e94\u8be5\u662f\u4e0d\u600e\u4e48\u641e\u5bf9\u9f50\u7684\uff0c\u56e0\u4e3a Yann LeCun \u4e00\u76f4\u662f\u65d7\u624b\uff0c\u8bf4\u6211\u4eec\u8981\u5f00\u6e90\uff0c\u662f\u5427\uff1f\u4f46\u662f\u4f60\u770b Llama \u7684 refusal rate \u5176\u5b9e\u8fd8\u662f\u5f88\u9ad8\u7684\uff0c\u8fd9\u4e2a\u7814\u7a76\u53ef\u80fd\u63ed\u793a\u4e86\u8868\u8c61\u540e\u9762\u73b0\u5b9e\u4e16\u754c\u771f\u6b63\u5728\u53d1\u751f\u7684\u4e8b\u60c5\uff0c\u90a3\u5c31\u662f\u6240\u6709\u5728\u558a\u5bf9\u9f50\u7684\u4eba\u5176\u5b9e\u90fd\u5df2\u7ecf\u4e0d\u518d\u505a\u4e86\u3002<\/p>\n

Anthropic \u6211\u89c9\u5f97\u57fa\u672c\u4e0a\u662f\u6253\u7740\u5bf9\u9f50\u7684\u65d7\u53f7\uff0c\u5728\u505a\u53ef\u89e3\u91ca\u6027\u7684\u4e1c\u897f\u3002\u53cd\u800c\u662f\u4e0d\u592a\u5f3a\u8c03\u5bf9\u9f50\u7684 Llama\uff0c\u6bcf\u4e00\u6b21\u53d1\u51fa\u6765\u540e\u53ef\u4ee5\u770b\u51fa\uff0c\u8fd8\u662f\u5f88\u4e25\u683c\u8ba4\u771f\u5730\u505a\u4e86\u5f88\u591a\u7684 alignment\uff0c\u6240\u4ee5\u8fd9\u662f\u5f88\u6709\u8da3\u7684\u4e00\u4e2a\u73b0\u8c61\u3002\u6240\u4ee5\u6211\u4f30\u8ba1\u540e\u9762\u7684\u4e00\u4e2a\u5927\u8d8b\u52bf\u662f\uff0c\u57fa\u672c\u7684\u5bf9\u9f50\u5927\u5382\u8be5\u505a\u7684\u80af\u5b9a\u8fd8\u662f\u505a\uff0c\u4f46\u662f\u989d\u5916\u7684\u90a3\u90e8\u5206\u57fa\u672c\u4e0a\u6ca1\u6709\u4eba\u4f1a\u7279\u522b\u8ba4\u771f\u5730\u53bb\u505a\uff0c\u53cd\u800c\u662f\u5f00\u6e90\u5f00\u6216\u8005\u8bf4\u5f00\u653e\u6743\u91cd<\/mark>\u7684\u8fd9\u4e9b\u56e2\u961f\uff0c\u56e0\u4e3a\u4ed6\u4eec\u6015\u8fd9\u79cd\u4e0d\u786e\u5b9a\u6027\u3002<\/p>\n

\u5176\u5b9e\u6709\u4e00\u4e2a\u6982\u5ff5\u9700\u8981\u6f84\u6e05\uff0c\u6216\u8005\u8bf4\u5f88\u591a\u4eba\u4e0d\u592a\u4e86\u89e3\uff0c\u5c31\u662f\u5927\u5bb6\u73b0\u5728\u770b\u5230\u7684\u6700\u597d\u7528\u7684\u8fd9\u4e9b\u6240\u8c13\u7684\u5f00\u6e90\u6a21\u578b\uff0c\u4e25\u683c\u610f\u4e49\u4e0a\u6765\u8bf4\u5e76\u4e0d\u662f\u5f00\u6e90\u4e86\uff0c\u53ea\u662f\u5f00\u653e\u4e86\u6743\u91cd<\/mark>\uff0c\u6743\u91cd<\/mark>\u53ea\u662f\u4e00\u4e2a\u53ef\u6267\u884c\u6587\u4ef6\uff0c\u5b8c\u5168\u7684\u5f00\u6e90\u6a21\u578b\uff0c\u662f\u6307\u5305\u62ec\u6570\u636e\u96c6\uff0c\u5bf9\u6570\u636e\u96c6\u7684\u5404\u79cd\u5904\u7406\u7684\u65b9\u6cd5\u3001\u5904\u7406\u5de5\u5177\uff0c\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u7528\u5230\u7684\u5de5\u5177\u3001\u811a\u672c\uff0c\u4ee5\u53ca\u5bf9\u9f50\uff0c\u4e0d\u7ba1\u662f RLHF \u8fd8\u662f DPO\u3001PPO\uff0c\u6240\u7528\u5230\u7684\u90a3\u4e2a\u5c0f\u7684 reward \u6a21\u578b\uff0c\u4f8b\u5982\u505a DPO \u7aef\u5230\u7aef\u7684 pair \u6570\u636e\u96c6\uff0c\u5982\u679c\u90fd\u80fd\u5f00\u653e\u51fa\u6765\uff0c\u90a3\u624d\u7b97\u5b8c\u5168\u5f00\u6e90\u3002<\/p>\n

\u50cf Allen Institute for AI \u53d1\u5e03\u7684 OLMo\uff0c\u4ee5\u53ca LLM360 \u7684 K2-65B\uff0c\u8fd9\u4e9b\u662f\u7b26\u5408\u7684\uff0c\u4f46\u4e00\u662f\u6bd4\u8f83\u5c11\uff0c\u53e6\u4e00\u4e2a\u5c31\u662f\u8fd9\u4e00\u7c7b\u6a21\u578b\u4e00\u822c\u4e5f\u90fd\u4e0d\u592a\u80fd\u6253\uff0c\u56e0\u4e3a\u4f60\u60f3\u5b83\u7528\u7684\u90fd\u662f\u5f00\u6e90\u6570\u636e\u96c6\u3002\u5927\u5bb6\u5e73\u5e38\u7528\u7684\u5c31\u662f\u5f00\u653e\u6743\u91cd<\/mark>\u7684\u6a21\u578b\u3002<\/p>\n

\u5bf9\u4e8e Meta \u6765\u8bf4\uff0c\u867d\u7136 Llama \u7684\u5f00\u653e\u6743\u91cd<\/mark>\u6a21\u578b\u5e26\u7ed9\u4ed6\u4eec\u5de8\u5927\u7684\u58f0\u8a89\u548c\u5f00\u53d1\u8005\u7684\u751f\u6001\uff0c\u4f46\u662f\u786e\u5b9e\u4e5f\u662f\u4e00\u79cd\u8d1f\u62c5\uff0c\u5c31\u662f\u4e00\u65e6\u6709\u95ee\u9898\uff0c\u4f60\u7684\u4e00\u4e2a\u6ca1\u5bf9\u9f50\uff0c\u4f60\u4e00\u53d1\u5e03\u51fa\u6765\u4e0a\u4e07\u4e2a fine tuning \u5df2\u7ecf\u51fa\u6765\u4e86\uff0c\u4f60\u8981\u600e\u4e48\u56de\u6536\uff1f\u6240\u4ee5\u5bf9\u4e8e\u4ed6\u4eec\u6765\u8bf4\u53cd\u800c\u5bf9\u9f50\u7684\u538b\u529b\u8981\u66f4\u5927\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u4e0e OpenAI \u5f62\u6210\u56de\u5e94\uff0cGoogle \u548c Meta \u5728\u5f00\u6e90\u4e0a\u9762\u7684\u7b56\u7565\u548c\u5e94\u5bf9\uff0c\u5305\u62ec\u60a8\u521a\u624d\u63d0\u5230\u7684 Llama \u5f00\u6e90\uff0c\u5176\u5b9e\u4e5f\u662f\u4e00\u5927\u770b\u70b9\u3002<\/strong><\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u5bf9\uff0c\u4e0d\u7ba1\u662f Google \u8fd8\u662f Meta\uff0c\u5f00\u6e90\u5bf9\u4e8e\u8fd9\u4e9b\u5927\u7684\u5546\u4e1a\u4f01\u4e1a\u6765\u8bf4\uff0c\u4e00\u5b9a\u662f\u670d\u52a1\u5176\u5546\u4e1a\u76ee\u7684\u7684\u4e00\u4e2a\u624b\u6bb5\u3002\u6bd4\u5982 Google\uff0c\u4e00\u76f4\u4ee5\u6765\u7684\u68a6\u9b47\u5c31\u662f\u5b83\u7684\u641c\u7d22\u5165\u53e3\u88ab\u522b\u4eba\u7ed9\u6390\u6389\uff0c\u6240\u4ee5 Google \u6700\u5f00\u59cb\u7684 Gemini \u6a21\u578b\u57fa\u672c\u4e0a\u662f\u4fdd\u6301\u5c01\u95ed\u7684\u3002\u4f46\u662f\u540e\u6765\u6211\u4eec\u53d1\u73b0\u5b83\u63a8\u51fa\u4e86\u4e00\u7cfb\u5217\u7684\u5f00\u653e\u6743\u91cd<\/mark>\u6a21\u578b\uff0c\u6bd4\u5982 Gemma\uff0c\u4eca\u5e74 Google I\/O \u4e0a\u66f4\u662f\u63a8\u51fa\u4e86\u66f4\u591a\u5927\u5bb6\u6bd4\u8f83\u5173\u6ce8\u7684\u6a21\u578b\uff0c\u5305\u62ec\u6587\u751f\u56fe\u7684 PaliGemma\uff0c\u6211\u770b\u7f51\u4e0a\u5927\u5bb6\u5b9e\u6d4b\u6548\u679c\u4e5f\u90fd\u5f88\u4e0d\u9519\u3002<\/p>\n

\u6211\u8ddf Google \u4e4b\u524d Gemma \u7684\u4ea7\u54c1\u7ecf\u7406\u9762\u5bf9\u9762\u804a\u8fc7\uff0c\u4ed6\u4e5f\u5f88\u5766\u8bda\uff0c\u5176\u5b9e Google \u7684\u601d\u8def\u5f88\u7b80\u5355\uff0c\u5c31\u662f\u5bf9\u4e8e Google \u6700\u8981\u547d\u7684\u51e0\u6761\u7ebf\u2014\u2014Web \u7f51\u9875\u7aef\u3001Mobile \u79fb\u52a8\u7aef\uff0c\u4ee5\u53ca\u5b83\u81ea\u5df1\u7684 Search \u641c\u7d22\u548c\u4e91\uff0c\u5b83\u7684\u5927\u6a21\u578b\u751f\u6001\u4e00\u5b9a\u8981\u628a\u8fd9\u51e0\u70b9\u5360\u4f4f\u3002<\/p>\n

Google \u53d1\u73b0\u53ef\u80fd\u5149\u9760\u4e00\u4e2a\u4e0d\u592a\u5f00\u653e\u7684 Gemini\uff0c\u4e3b\u8981\u9760\u4e91\u4e0a\u7684\u670d\u52a1\u53ef\u80fd\u8fd8\u4e0d\u591f\uff0c\u90a3\u5c31\u589e\u52a0\u624b\u6bb5\uff0c\u5f00\u653e\u4e00\u7cfb\u5217\u540c\u6e90\u7684\u3001\u5c0f\u4e00\u4e9b\u7684\u6a21\u578b\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u628a\u5b83\u5173\u5fc3\u7684\u5168\u573a\u666f\u9010\u6e10\u5360\u8d77\u6765\u3002<\/p>\n

\u5bf9\u4e8e\u7845\u8c37\u7684\u516c\u53f8\u6765\u8bf4\uff0c\u901a\u8fc7\u5f00\u6e90\u6216\u5f00\u653e\u505a\u77ed\u671f\u751f\u6001\u5efa\u8bbe\u4ee5\u53ca\u957f\u671f\u7684\u4eba\u624d\u57f9\u80b2\uff0c\u57fa\u672c\u4e0a\u5927\u5bb6\u90fd\u8ba4\u4e3a\u662f\u6bd4\u8f83\u91cd\u8981\u7684\uff0c\u6240\u4ee5 Google \u662f\u8fd9\u4e48\u4e00\u4e2a\u53d1\u5c55\u3002\u6211\u89c9\u5f97 Meta \u60f3\u7684\u4e5f\u5f88\u6e05\u695a\uff0cLlama \u662f\u7b2c\u4e00\u4e2a\u6027\u80fd\u5f88\u597d\u7684\u5f00\u653e\u6743\u91cd<\/mark>\u6a21\u578b\uff0c\u7136\u540e\u4e00\u76f4\u5230\u73b0\u5728 Llama 3\uff08\u7f16\u6ce8\uff1a\u622a\u6b62\u5317\u4eac\u65f6\u95f4 2024 \u5e74 7 \u6708 24 \u65e5\uff0cMeta \u5df2\u53d1\u5e03 Llama 3.1 405B<\/a>\uff0c\u5b98\u65b9\u79f0\u5176\u6027\u80fd\u5ab2\u7f8e\u6700\u597d\u7684\u95ed\u6e90\u6a21\u578b\uff09\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u5176\u5b9e\u5927\u5bb6\u6700\u5f00\u59cb\u4e5f\u5728\u770b\uff0c\u8c01\u4f1a\u6700\u5148\u5f00\u6e90\u51fa\u8fd9\u6837\u7684\u4e00\u4e2a\u6a21\u578b\uff0c\u80cc\u540e\u63a8\u52a8\u8005\u662f Meta\uff0c\u4e1a\u754c\u5bf9\u6b64\u8fd8\u662f\u6709\u4e00\u4e9b\u60ca\u8bb6\u7684\u3002<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u662f\uff0c\u5927\u5bb6\u5176\u5b9e\u539f\u6765\u4f1a\u731c\u8981\u4e48\u662f Google\uff0c\u8981\u4e48\u662f\u4e9a\u9a6c\u900a\uff0c\u6bd5\u7adf Azure \u5bf9\u4e8e AWS \u6765\u8bf4\u8fd8\u662f\u5f88\u5927\u7684\u4e00\u4e2a\u7ade\u4e89\u5bf9\u624b\uff0c\u4f60\u4e0d\u80fd\u8ba9\u5b83\u8fd9\u4e48\u5360\u98ce\u5934\uff0c\u7ed3\u679c\u53d1\u73b0\u8fd9\u4e24\u8005\u90fd\u4e0d\u662f\u3002<\/p>\n

\u6211\u89c9\u5f97\u4ece\u624e\u514b\u4f2f\u683c\u8bbf\u8c08\u91cc\u9762\u7684\u4fe1\u606f\u6765\u770b\uff0c\u5176\u5f00\u6e90 Llama \u7684\u9009\u62e9\u8ddf Meta \u81ea\u8eab\u7684\u5546\u4e1a\u8def\u5f84\u8fd8\u662f\u6bd4\u8f83\u5339\u914d\u7684\uff0c\u56e0\u4e3a\u5bf9\u4e8e Meta \u6765\u8bf4\uff0c\u5927\u6a21\u578b\u53ea\u662f\u4e00\u4e2a\u57fa\u7840\u4ef6\uff0c\u624e\u514b\u4f2f\u683c\u53cd\u590d\u5f3a\u8c03\u8fd9\u4e00\u70b9\uff0c\u6211\u57fa\u4e8e\u5927\u6a21\u578b\u80fd\u591f\u6784\u5efa\u5f88\u591a\u7684\u751f\u6210\u80fd\u529b\u3001Agent \u80fd\u529b\uff0c\u6700\u540e\u8981\u670d\u52a1\u5230\u6211\u7684\u5143\u5b87\u5b99\u3001\u6211\u7684\u793e\u4ea4\uff0c\u8fd9\u4e9b\u624d\u662f\u6211\u6700\u5173\u5fc3\u7684\u3002\u6240\u4ee5\u4f60\u770b\u5728 Meta \u7684\u6838\u5fc3\u4e1a\u52a1\u5c42\u9762\uff0c\u5b83\u4e0d\u4f1a\u641e\u4efb\u4f55\u5f00\u6e90\u7684\u9879\u76ee\u3002<\/p>\n

Meta \u628a Llama \u5f00\u653e\u51fa\u6765\uff0c\u53ef\u4ee5\u8fbe\u5230\u51e0\u4e2a\u76ee\u7684\uff1f\u7b2c\u4e00\uff0c\u80af\u5b9a\u80fd\u6253\u7834 OpenAI \u7684\u5784\u65ad\uff0c\u7ed9\u5e7f\u5927\u5f00\u53d1\u8005\u53e6\u5916\u4e00\u4e2a\u6bd4\u8f83\u597d\u7684\u9009\u62e9\u3002\u7b2c\u4e8c\uff0c\u4e00\u4ee5\u8d2f\u4e4b\u7684\u7845\u8c37\u505a\u4eba\u624d\u57f9\u517b\uff0c\u6709\u8d8a\u6765\u8d8a\u591a\u7684\u4eba\u4e60\u60ef Llama \u8fd9\u4e2a\u67b6\u6784\u7684 LLM \u5f00\u53d1\uff0c\u90a3\u5bf9 Meta \u6765\u8bf4\u662f\u4e00\u79cd\u4eba\u624d\u50a8\u5907\u3002<\/p>\n

\u5fae\u8f6f\u548c OpenAI\uff0c\u662f\u53cc\u65b9\u56e0\u4e3a\u8054\u76df\u8fbe\u6210\u4e86\u4e00\u4e2a\u6218\u7565\u9ed8\u5951\u3002\u6240\u4ee5\u4f60\u770b\u5fae\u8f6f\u5728\u75af\u72c2\u63a8\u7684\u662f\u5f88\u8f7b\u91cf\u7684\u3001\u80fd\u591f\u5728\u7aef\u4fa7\u8dd1\u7684\u5927\u6a21\u578b\u3002<\/p>\n

Sam Altman \u81ea\u5df1\u5728\u8bbf\u8c08\u91cc\u9762\u8bf4\u8fc7\uff0c\u4ed6\u89c9\u5f97\u5982\u679c\u901a\u8fc7\u5f00\u6e90\u7684\u9879\u76ee\u80fd\u591f\u4e0d\u8ba9 Google\u3001\u82f9\u679c\u628a\u8fd9\u4e00\u5757\u5360\u4f4f\uff0c\u90a3\u4ed6\u7684\u76ee\u7684\u5c31\u8fbe\u5230\u4e86\uff0c\u56e0\u4e3a\u4ed6\u6700\u4e0d\u5e0c\u671b\u770b\u5230\u7684\u662f\u51fa\u6765\u4e00\u4e2a\u96c6\u7fa4\u5f0f\u7684\u5bf9 GPT \u800c\u8a00\u6709\u5f88\u5f3a\u7ade\u4e89\u529b\u7684\u6a21\u578b\u3002\u6240\u4ee5\u5fae\u8f6f\u7684\u5f00\u6e90\u5bf9\u4e8e\u4ed6\u6765\u8bf4\u662f\u7b56\u7565\u4e0a\u7684\u4e92\u8865\uff0c\u90a3\u5bf9\u4e8e\u5fae\u8f6f\u6765\u8bf4\uff0c\u53cd\u6b63\u591a\u7559\u4e9b\u624b\u724c\u4e5f\u9ad8\u5174\u4e86\u3002<\/p>\n

\u56de\u5230\u521a\u624d\u8bf4\u7684\uff0c\u5176\u5b9e\u6211\u4eec\u770b\u5230\u5927\u5382\u7684\u5927\u6a21\u578b\u662f\u4e0d\u662f\u5f00\u653e\u6743\u91cd<\/mark>\uff0c\u6216\u8005\u662f\u4e0d\u662f\u81ea\u5df1\u518d\u505a\u4e00\u4e2a\uff0c\u90fd\u6709\u5176\u72ec\u7279\u7684\u7b56\u7565\u8bbe\u8ba1\uff0c\u4f46\u57fa\u672c\u4e0a\u90fd\u662f\u7b26\u5408\u81ea\u8eab\u5546\u4e1a\u7b56\u7565\u7684\u3002<\/p>\n

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\u6240\u4ee5\u73b0\u5728\u5f00\u6e90\u5f00\u53d1\u8005\u5708\u5b50\u91cc\u9762\u4e5f\u5728\u4e89\u8bba\u8fd9\u4e2a\u95ee\u9898\uff0c\u8fd8\u6ca1\u6709\u5b9a\u8bba\u3002\u5df2\u7ecf\u6709\u4e00\u90e8\u5206\u4eba\u8ba4\u4e3a\uff0c\u53ef\u80fd\u5fae\u8c03\u7684\u610f\u4e49\u4e5f\u4e0d\u5927\u4e86\uff0c\u56e0\u4e3a\u7a7a\u95f4\u8d8a\u6765\u8d8a\u5c0f\uff0c\u8d39\u4e86\u534a\u5929\u52b2\uff0c\u8fd8\u4e0d\u5982\u76f4\u63a5\u7528\u90a3\u4e9b\u6709\u51e0\u767e\u4e07\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u6a21\u578b\uff0c\u81ea\u5df1\u5582\u6570\u636e\u8fdb\u53bb\uff0c\u8fde RAG \u90fd\u4e0d\u7528\uff0c\u8fd9\u6837\u4e0d\u662f\u66f4\u9999\u5417\uff1f\u5f53\u7136\u4e86\uff0c\u652f\u6301\u5fae\u8c03\u6216\u8005\u6301\u7eed\u505a\u4e00\u4e9b\u91cf\u5316<\/mark>\u7684\u4eba\uff0c\u8fd8\u662f\u5e0c\u671b\u80fd\u591f\u81ea\u5df1\u53bb\u8c03\u4e00\u4e9b\u4e1c\u897f\uff0c\u8981\u4e0d\u7136\u4e00\u4e2a\u6a21\u578b\u5f00\u653e\u6743\u91cd<\/mark>\u51fa\u6765\u5e72\u561b\u5462\uff1f\u6240\u4ee5\u8fd9\u662f\u73b0\u5728\u65b0\u7684\u4e00\u4e2a\u72b6\u51b5\u3002\u5982\u679c\u4eca\u5e74\u4e0b\u534a\u5e74\u548c\u660e\u5e74\u65b0\u51fa\u6765\u7684\u9884\u8bad\u7ec3\u5927\u6a21\u578b\uff0c\u786e\u5b9e\u662f\u5bf9\u77e5\u8bc6\u7684\u538b\u7f29\u8d8a\u6765\u8d8a\u597d\u7684\u8bdd\uff0c\u53ef\u80fd\u5fae\u8c03\u771f\u7684\u53c8\u8981\u88ab\u6740\u6b7b\u4e86<\/strong>\uff0c\u7136\u540e\u5c31\u4f1a\u6709\u65b0\u7684\u6280\u672f\u51fa\u6765\uff0c\u53bb\u8c03\u8fd9\u4e9b\u8d8a\u6765\u8d8a\u597d\u7684\u9884\u8bad\u7ec3\u5927\u6a21\u578b\u3002<\/p>\n

\u6a21\u578b\u5c42\u518d\u5f80\u4e0a\uff0c\u5c31\u662f\u73b0\u5728\u63d0\u5230\u7684\u5f88\u591a Agent\uff0c\u8fd8\u6709\u505a Prompt Engineering \u7684\u5de5\u5177\uff0c\u6bd4\u5982 LangChain\uff0c\u5927\u5bb6\u90fd\u5f88\u719f\u6089\u4e86\u3002\u53e6\u5916\u6709\u4e24\u4e2a\u9879\u76ee\u6211\u89c9\u5f97\u53ef\u80fd\u540e\u9762\u4f1a\u8d8a\u6765\u8d8a\u91cd\u8981\uff0c\u90fd\u662f\u4ece\u65af\u5766\u798f\u51fa\u6765\u7684\uff0c\u4e00\u4e2a\u53eb DSPy\uff0c\u5b83\u662f\u4e3a Prompt \u63d0\u4f9b\u4e00\u79cd\u7f16\u7a0b\u5316\u7684\u65b9\u6cd5\u3002\u53e6\u4e00\u4e2a\u9879\u76ee\u53eb SGLang\uff0c\u53ef\u4ee5\u642d\u914d DSPy \u4f7f\u7528\uff0c\u5b83\u5b9e\u9645\u4e0a\u662f\u4e00\u4e2a\u7f16\u8bd1\u5668\uff0c\u80fd\u591f\u8ba9\u4f60\u628a prompt \u7684\u8bed\u8a00\u7f16\u8bd1\u6210\u53ef\u4ee5\u5bf9\u63a5\u5230\u5404\u4e2a\u5927\u6a21\u578b\u7684\u4ee3\u7801\u3002<\/p>\n

\u53ef\u80fd\u8fd9\u4e00\u5c42\u66f4\u8d34\u8fd1\u5e94\u7528\uff0c\u6240\u4ee5\u9879\u76ee\u975e\u5e38\u591a\uff0c\u6211\u521a\u624d\u53ea\u662f\u6311\u51fa\u6765\u8bf4\u4e86\u51e0\u4e2a\u3002\u8fd8\u6709\u4e00\u4e2a\u5c42\u9762\u8981\u8bf4\u7684\u662f AI \u7cfb\u7edf\uff0c\u5bf9\u5427\uff1f<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u662f\u7684\uff0c\u5c31\u662f\u5173\u4e8e\u5927\u6a21\u578b\u672c\u8eab\u7684\u4e89\u8bba\uff0c\u57fa\u4e8e\u5927\u6a21\u578b\u80fd\u4e0d\u80fd\u591f\u5b9e\u73b0 AGI\uff0c\u6216\u8005\u66f4\u51c6\u786e\u5730\u8bf4\u2014\u2014\u5149\u9760 LLM \u591f\u4e0d\u591f\uff1f<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u5bf9\uff0c\u5f53\u7136\u6211\u4eec\u5982\u679c\u5c31\u8fd9\u4e48\u4e00\u60f3\u7684\u8bdd\uff0c\u80af\u5b9a\u90fd\u4f1a\u89c9\u5f97\u4e0d\u591f\uff0c\u4f46\u662f\u7f3a\u4ec0\u4e48\u5462\uff1f\u6211\u6700\u8fd1\u5728\u770b\u4e00\u672c\u4e66\uff0c\u662f Thomas Parr \u7b49\u4eba\u5199\u7684\uff0c\u53eb\u300aActive Inference\u300b\uff0c\u8fd9\u672c\u4e66\u53ef\u4ee5\u7ed9\u6211\u4eec\u63d0\u4f9b\u4e00\u4e9b\u542f\u53d1\u3002<\/p>\n

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

\u300aActive Inference\u300b\u4e00\u4e66\u7531 Thomas Parr\u3001Giovanni Pezzulo \u548c Karl J. Friston \u5408\u8457\uff0c\u5168\u9762\u6982\u8ff0\u4e86 Active Inference \u5047\u8bf4\uff0c\u8fd9\u662f\u4e00\u79cd\u5c06\u81ea\u7531\u80fd\u539f\u7406\uff08Free Energy Principle\uff09\u5e94\u7528\u4e8e\u7406\u89e3\u5fc3\u667a\u3001\u5927\u8111\u548c\u884c\u4e3a\u7684\u7406\u8bba\u3002\u6765\u6e90\uff1aMIT Press<\/p>\n

\u6709\u4e00\u6d3e\u79d1\u5b66\u5bb6\u8ba4\u4e3a\uff0cLLM \u672c\u8eab\u4e0d\u5177\u5907\u63a8\u7406\u80fd\u529b\uff08reasoning\uff09\u3002\u6bd4\u5982\u8bf4 Keras \u7684\u4f5c\u8005 Fran\u00e7ois Chollet\uff0c\u4ed6\u89c9\u5f97\u5927\u6a21\u578b\u4e3b\u8981\u5c31\u662f\u9760\u8bb0\u5fc6\uff08memorization\uff09\uff0c\u5c31\u662f\u8bb0\u5f97\u591a\u3002\u6240\u4ee5\u4ed6\u4eec\u8fd9\u4e00\u6d3e\u6709\u4e00\u4e2a\u89c2\u70b9\uff1a\u6240\u6709 LLM \u7684\u63a8\u7406\uff08inference\uff09\u90fd\u662f\u6240\u8c13\u7684 inactive inference\uff0c\u56e0\u4e3a\u6a21\u578b\u5df2\u7ecf\u8bad\u7ec3\u597d\u4e86\uff0c\u6a21\u578b\u7684\u63a8\u7406\uff0c\u7528 Fran\u00e7ois Chollet \u7684\u8bdd\u8bf4\uff0c\u5c31\u8ddf\u6570\u636e\u5e93<\/mark>\u67e5\u8be2<\/mark>\u6ca1\u6709\u4efb\u4f55\u533a\u522b\u3002\u6a21\u578b\u672c\u8eab\u662f\u4e0d\u52a8\u7684\uff0c\u53ea\u662f\u628a\u4e00\u5806\u4e1c\u897f\u538b\u7f29\u5230\u4e00\u8d77\uff0c\u4f60\u95ee\u5b83\u4ec0\u4e48\uff0c\u5b83\u5c31\u544a\u8bc9\u4f60\u4ec0\u4e48\uff0c\u800c\u4e14\u4e0d\u4f1a\u544a\u8bc9\u4f60\u8d85\u7eb2\u7684\u4e1c\u897f\u3002<\/p>\n

\u4ed6\u4eec\u8ba4\u4e3a\u672a\u6765\u7684\u65b9\u5411\u5e94\u8be5\u662f Active Inference\u3002\u5982\u4f55\u5b9a\u4e49 Active Inference\uff1f\u4ed6\u4eec\u8ba4\u4e3a\uff0c\u6240\u6709\u611f\u5b98\u751f\u7269\uff08sensory animal\uff09\u7684\u795e\u7ecf\u7cfb\u7edf\u65e0\u65f6\u65e0\u523b\u4e0d\u5728\u505a\u7684\u4e00\u4ef6\u4e8b\uff0c\u5c31\u662f\u8981\u51cf\u5c11\u5b83\u5b9e\u9645\u9047\u5230\u7684\u60c5\u51b5\u548c\u5b83\u9884\u8bbe\u60c5\u51b5\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u4ed6\u4eec\u79f0\u4e4b\u4e3a\u300csurprise\u300d\uff0c\u6240\u8c13\u7684 Active Inference \u5c31\u662f\u8981\u51cf\u5c11\u8fd9\u4e2a surprise\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u8fd9\u79cd\u5bf9\u667a\u80fd\u7684\u5b9a\u4e49\u5f88\u6709\u8da3\u3002<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u4ed6\u4eec\u8ba4\u4e3a\u6240\u6709\u611f\u5b98\u52a8\u7269\uff0c\u5305\u62ec\u4eba\uff0c90% \u7684\u65f6\u95f4\u5176\u5b9e\u90fd\u662f\u5728\u505a active inference\uff0c\u53ef\u80fd\u5269\u4e0b 10% \u662f\u5229\u7528\u8bb0\u5fc6\u6765\u505a\u7684\u4e8b\u60c5\u3002\u6bd4\u5982\u8bf4\u6211\u4eec\u4eca\u5929\u505a\u8fd9\u4e2a\u64ad\u5ba2\uff0c\u8fd9\u662f\u6211\u7b2c\u4e00\u6b21\u5728\u8fd9\u4e2a\u5730\u65b9\uff0c\u8ddf\u4f60\u505a\u8fd9\u4e2a\u8282\u76ee\uff0c\u6211\u7684\u5927\u8111\u9700\u8981\u5904\u7406\u5168\u65b0\u7684\u573a\u666f\uff0c\u867d\u7136\u6211\u6709\u5f88\u591a\u4e4b\u524d\u7684\u77e5\u8bc6\u50a8\u5907\uff0c\u6709\u4e00\u5b9a\u7684\u8bb0\u5fc6\uff0c\u4f46\u6211\u8fd8\u662f\u8981\u9488\u5bf9\u8fd9\u4e2a\u65b0\u7684\u573a\u666f\u53bb\u505a active inference\u3002<\/p>\n

\u4e3a\u4ec0\u4e48\u8bf4 Active Inference \u4f1a\u5bf9 AI \u7cfb\u7edf\u63d0\u4f9b\u4e00\u4e2a\u65b0\u7684\u89d2\u5ea6\uff1f\u56e0\u4e3a\u5b83\u6838\u5fc3\u7684\u89c2\u70b9\uff0c\u505a\u4f01\u4e1a\u7684\u4eba\u53ef\u80fd\u4e5f\u4f1a\u6bd4\u8f83\u611f\u5174\u8da3\uff0c\u5c31\u662f\u611f\u77e5<\/mark>\u52a8\u7269\u7684\u884c\u4e3a\u4e00\u76f4\u5728\u8ffd\u6c42\u4e00\u4e2a\u71b5\u51cf\u7684\u8fc7\u7a0b\u3002<\/p>\n

\u5c31\u50cf\u521a\u624d\u8bf4\u7684\u8981 minimize surprise\uff0c\u4e66\u91cc\u4e3e\u4e86\u4e00\u4e9b\u4f8b\u5b50\uff0c\u6bd4\u5982\u8bf4\u4eba\u4eec\u4f1a\u76d6\u623f\u5b50\uff0c\u65b0\u5efa\u4e00\u4e2a\u4e1c\u897f\u80af\u5b9a\u662f\u589e\u52a0\u590d\u6742\u5ea6\u7684\uff0c\u4f46\u5982\u679c\u4ece\u957f\u65f6\u95f4\u5c3a\u5ea6\u53bb\u770b\uff0c\u5b83\u5176\u5b9e\u662f\u8ba9\u4eba\u4eec\u80fd\u591f\u4f4f\u8fdb\u53bb\uff0c\u8ba9\u6574\u4e2a\u6587\u660e\u4ece\u6e38\u7267\u7684\u9a91\u7740\u9a6c\u56db\u5904\u4e71\u8dd1\uff0c\u53d8\u6210\u5728\u4e00\u4e2a\u5730\u65b9\u5b9a\u5c45\u4e0b\u6765\u3002\u6240\u4ee5\u4ed6\u4eec\u8fd9\u4e00\u6d3e\u4f1a\u8ba4\u4e3a\uff0c\u5927\u6a21\u578b\u4ee3\u8868\u7684\u80fd\u529b\uff0c\u53ea\u662f AI \u7cfb\u7edf\u4e2d\u7684\u4e00\u73af\uff0c\u5b83\u53ef\u4ee5\u505a\u5f88\u591a\u8bb0\u5fc6\u3001\u751f\u6210\u5f88\u591a\u4e1c\u897f\uff0c\u4f46\u771f\u6b63\u53bb\u505a\u71b5\u51cf\uff0c\u73b0\u5728\u5e94\u8be5\u8fd8\u6ca1\u6709\u89e6\u78b0\u5230\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u60a8\u4e4b\u524d\u8fd8\u63d0\u5230\u4e86\u4e00\u4e2a\u66f4\u6df1\u523b\u7684\u5f71\u54cd\uff0c\u5c31\u662f\u300c\u6570\u636e\u4ee3\u66ff\u903b\u8f91<\/mark>\u300d\u3002<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u5bf9\uff0c\u6570\u636e\u4ee3\u66ff\u903b\u8f91<\/mark><\/strong>\uff0c\u8fd9\u662f Google \u505a Robot \u57fa\u7840\u5927\u6a21\u578b\u7684\uff0c\u4e5f\u5373 RT-2 \u9879\u76ee\u7684\u4e00\u4f4d\u4f5c\u8005\uff0c\u5979\u4e4b\u524d\u53d1\u8868\u7684\u4e00\u4e2a\u89c2\u70b9\uff0c\u5bf9\u6211\u633a\u6709\u89e6\u52a8\u7684\u3002<\/p>\n

\u6211\u89c9\u5f97\u6709\u5f88\u5927\u51e0\u7387\uff0c\u4ee5\u540e\u5bf9\u4e8e\u6211\u4eec\u5de5\u7a0b\u5e08\u6765\u8bf4\uff0c\u53ef\u80fd\u4ee3\u7801\u8d8a\u6765\u8d8a\u4e0d\u90a3\u4e48\u91cd\u8981\u4e86\uff0c\u8bf8\u5982\u4ee3\u7801\u903b\u8f91<\/mark>\u8fd9\u4e9b\uff0c\u5927\u6a21\u578b\u4e00\u5b9a\u90fd\u4f1a\u5e2e\u4f60\u641e\u5f97\u597d\u597d\u7684\uff0c\u4f46\u662f\u4f60\u8981\u80fd\u77e5\u9053\u4f60\u9700\u8981\u7684\u8fd9\u4e2a\u4ee3\u7801\u662f\u600e\u6837\u7684\u6570\u636e\u505a\u51fa\u6765\u7684\uff0c\u8fd9\u662f\u5168\u65b0\u7684\u4e00\u4e2a skill set\uff0c\u5927\u5bb6\u8981\u9010\u6e10\u57f9\u517b\u8fd9\u4e2a\u80fd\u529b\u3002<\/p>\n

\u8981\u77e5\u9053\u5982\u4f55\u6536\u96c6\u6570\u636e\u3001\u5904\u7406\u6570\u636e\uff0c\u7136\u540e\u80fd\u591f\u6839\u636e\u6570\u636e\uff0c\u4e0d\u7ba1\u662f\u5fae\u8c03\u8fd8\u662f\u5176\u4ed6\u65b9\u6cd5\u2014\u2014\u4e4b\u524d\u8bf4\u53ef\u80fd\u4ee5\u540e\u6ca1\u6709\u5fae\u8c03\u7684\u7a7a\u95f4\u4e86\uff0c\u662f\u5427\uff1f\u2014\u2014\u505a\u51fa\u6700\u9002\u7528\u4e8e\u81ea\u5df1\u7684\u6a21\u578b\uff0c\u7136\u540e\u8ba9\u6a21\u578b\u66ff\u4f60\u5199\u4ee3\u7801\u3002\u8fd9\u662f\u4e00\u4e2a\u5168\u65b0\u7684\u672a\u6765\uff0c\u8ba9\u6211\u4eec\u62ed\u76ee\u4ee5\u5f85\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1aAI Stack \u548c Infra \u6709\u4e86\u8fd9\u4e9b\u5173\u952e\u7684\u8d8b\u52bf\uff0c\u5176\u672c\u8d28\u8fd8\u662f AI \u7684\u6280\u672f\u5728\u4e0d\u65ad\u6f14\u53d8\u548c\u53d1\u5c55\uff0c\u800c\u8fd9\u6df1\u523b\u5730\u5f71\u54cd\u6574\u4e2a AI \u5f00\u6e90\u751f\u6001\u3002\u73b0\u5728 AI \u5f00\u6e90\u751f\u6001\u6bd4\u8f83\u6d3b\u8dc3\u7684\u6280\u672f\u65b9\u5411\uff0c\u60a8\u80fd\u5206\u4eab\u4e00\u4e0b\u5417\uff1f<\/strong><\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u53ef\u4ee5\u5148\u804a\u804a\u5927\u6a21\u578b\u672c\u8eab\u3002\u7b2c\u4e00\u4e2a\u662f\u591a\u6a21\u6001\uff0c\u800c\u4e14\u662f\u80fd\u591f\u505a\u5230\u539f\u751f\u7684\u591a\u6a21\u6001\u8fdb\u3001\u591a\u6a21\u6001\u51fa\u7684\u7edf\u4e00\u67b6\u6784\uff0c\u8fd9\u80af\u5b9a\u662f\u672a\u6765\u7684\u4e00\u4e2a\u53d1\u5c55\u65b9\u5411\u3002Meta \u6df7\u5408\u6a21\u6001\u5927\u6a21\u578b Chameleon \u56e2\u961f\u8d1f\u8d23\u4eba\uff0c\u4ed6\u5728\u793e\u4ea4\u7f51\u7edc\u4e0a\u900f\u9732\u7684\u4fe1\u606f\u662f\uff0cMeta \u4e0d\u6ee1\u8db3\u4e8e token \u8fd9\u4e2a\u5c42\u9762\uff0c\u800c\u662f\u8981\u505a\u5230 byte \u5c42\u9762\u7684\u7edf\u4e00<\/strong>\uff0c\u5c31\u662f\u65e0\u8bba\u8f93\u5165\u7684\u662f\u56fe\u50cf\u3001\u89c6\u9891\u8fd8\u662f\u5176\u4ed6\uff0c\u6700\u540e\u90fd\u5f52\u7ed3\u5230 byte\u3002\u5f53\u7136\uff0c\u4ece\u76f4\u89c9\u4e0a\u6765\u8bf4\uff0c\u8d8a\u57fa\u672c\u8d8a\u6709\u52a9\u4e8e\u7edf\u4e00\uff0c\u4f46\u662f\u8fd9\u6837\u505a\u96be\u5ea6\u4e5f\u5f88\u5927\uff0c\u56e0\u4e3a\u4f60\u9700\u8981\u4ece\u4e00\u4e2a byte \u5c31\u5224\u65ad\u51fa\u5b83\u662f\u67d0\u4e2a\u56fe\u50cf\u6216\u89c6\u9891\u7684\u4e00\u90e8\u5206\u3002<\/p>\n

\u5176\u5b9e\u5df2\u7ecf\u6709\u5f88\u591a\u4eba\u5c1d\u8bd5\u8fc7\u8fd9\u4e2a\u65b9\u5411\u4e86\uff0c\u6709\u7bc7\u8bba\u6587\u53eb\u300aBytes are All You Need\u300b\u3002\u8fd9\u90e8\u5206\u5de5\u4f5c\u786e\u5b9e\u96be\uff0c\u4f46\u5982\u679c\u505a\u6210\u4e86\uff0c\u6bd4\u5982\u6211\u4eec\u4e00\u76f4\u671f\u5f85\u7684 400B \u89c4\u6a21\u7684 Llama 3 \u5728\u4eca\u5e74\u4e0b\u534a\u5e74\u51fa\u6765\u7684\u8bdd\uff0c\u6211\u4eec\u9884\u8ba1\u5b83\u5f88\u6709\u53ef\u80fd\u662f\u4e00\u4e2a\u591a\u6a21\u6001\u7684\u7248\u672c\uff0c\u5982\u679c\u771f\u7684\u53ef\u4ee5\u5b9e\u73b0 byte \u7ea7\u7edf\u4e00\uff0c\u90a3\u5c06\u4f1a\u662f\u4e00\u4e2a\u5f88\u5927\u7684\u53d1\u5c55\u3002<\/p>\n

\u7b2c\u4e8c\u4e2a\u662f Meta \u5728\u6301\u7eed\u63a8\u8fdb\u7684\uff0c\u6216\u8005\u8bf4\u5927\u5bb6\u5173\u6ce8\u7684 schedule \u7684\u6982\u5ff5\uff0c\u6307\u7684\u662f\u8bad\u7ec3\u91cc\u9762\u5bf9 learning rate \u7684\u8c03\u5ea6<\/mark>\u3002Meta \u4e00\u76f4\u5728\u63a8\u4e00\u4e2a\u53eb\u300cscheduleless\u300d\u7684\u65b9\u6cd5\uff0c\u4ed6\u4eec\u53d1\u73b0\u4e0d\u7ba1\u662f SGD \u8fd8\u662f Adam\uff0c\u5bf9\u4e8e\u4f18\u5316\u5668<\/mark>\u6765\u8bf4\uff0c\u53ef\u80fd\u5e76\u4e0d\u9700\u8981\u5f88\u590d\u6742\u7684 cosine annealing\uff0c\u53ef\u4ee5\u4e0d\u7528 schedule\uff0c\u8fd9\u53ef\u80fd\u4e5f\u662f\u4e00\u4e2a\u65b0\u65b9\u5411<\/strong>\uff0c\u5305\u62ec\u5f88\u591a\u65b0\u7684\u4f18\u5316\u5668<\/mark>\u7684\u63a2\u7d22\uff0c\u50cf Sophia\u3002<\/p>\n

\u53e6\u5916\u4e00\u4e2a\u6280\u672f\u53d1\u5c55\u65b9\u5411\u662f\u5c1d\u8bd5\u66ff\u4ee3\u73b0\u6709 Transformer \u67b6\u6784\u7684\uff0c\u6700\u706b\u7684\u5c31\u662f State Space Model\uff08SSM\uff09\uff0c\u4ee5 Mamba \u4e3a\u4ee3\u8868\u3002\u53e6\u5916\u4e00\u7c7b\u662f LSTM \u7684\u4f5c\u8005\uff0c\u4ed6\u4eec\u505a\u7684 xLSTM\u3002\u4e0d\u8fc7\u770b\u6700\u65b0\u7684\u4e00\u4e9b\u7814\u7a76\uff0c\u6211\u89c9\u5f97\u73b0\u5728\u8def\u5f84\u6709\u4e9b\u5f52\u4e00\u4e86\u3002Transformer \u6bd5\u7adf\u662f\u5728\u751f\u4ea7\u73af\u5883\u5df2\u7ecf\u9a8c\u8bc1\u8fc7\u7684\uff0c\u5b83\u7684\u53ef\u6269\u5c55\u6027\u3001\u5e94\u7528\u6027\u90fd\u5f88\u597d\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u800c\u4e14\u5f53\u4e00\u4e2a\u6a21\u578b\u5df2\u7ecf\u5e94\u7528\u5230\u8fd9\u79cd\u8303\u56f4\u548c\u7a0b\u5ea6\u4e4b\u540e\uff0c\u8981\u6709\u4e00\u4e2a\u65b0\u7684\u4e1c\u897f\u53d6\u4ee3\u5b83\uff0c\u4e5f\u9700\u8981\u5de8\u5927\u7684\u6210\u672c\uff0c\u4f60\u63d0\u4f9b\u7684\u4ef7\u503c\u5f97\u8d85\u8d8a\u53d6\u4ee3\u5b83\u7684\u8fd9\u4e9b\u6210\u672c\u3002<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u5bf9\uff0c\u5176\u5b9e\u9488\u5bf9 Transformer \u505a\u7684\u4f18\u5316\u73b0\u5728\u4e5f\u5f88\u591a\uff0c\u6240\u4ee5\u672a\u6765\u5982\u679c\u4e24\u4e2a\u67b6\u6784\u5728\u4e92\u8865\u7684\u70b9\u80fd\u591f\u5f62\u6210\u4e00\u4e2a\u6df7\u5408\u67b6\u6784\uff0c\u73b0\u5728\u770b\u662f\u53ef\u80fd\u662f\u4e00\u4e2a\u65b9\u5411\uff0c\u53ef\u80fd\u4e0d\u4f1a\u5b58\u5728\u5b8c\u5168\u7684\u66ff\u4ee3\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u5728\u5b8c\u5168\u66ff\u4ee3\u4e4b\u524d\u6280\u672f\u90fd\u662f\u8fd9\u6837\u53d1\u5c55\u7684\u3002\u5728\u539f\u6709\u7684\u57fa\u7840\u4e0a\uff0c\u7136\u540e\u8fed\u4ee3\u4e00\u90e8\u5206\uff0c\u76f4\u5230\u628a\u539f\u5148\u7684\u5f7b\u5e95\u8fed\u4ee3\u5b8c\u3002<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u53e6\u5916\u4e00\u4e2a\u8d8b\u52bf\u5c31\u662f SAE \u6216\u8005\u8bf4 Sparse AutoEncoder\uff0c\u8fd9\u53ef\u80fd\u4e5f\u662f\u4e00\u4e2a\u65b9\u5411\u3002\u8fd9\u5176\u5b9e\u662f OpenAI \u548c Anthropic \u7684 alignment team \u90fd\u5728\u505a\u7684\u4e00\u4ef6\u4e8b\uff0c\u5f53\u7136\u4ed6\u4eec\u7684\u6280\u672f\u70b9\u8fd8\u662f\u671d\u7740\u53ef\u89e3\u91ca\u6027\u65b9\u5411\u52aa\u529b\uff0cAnthropic \u7ed9\u5b83\u8d77\u4e86\u4e00\u4e2a\u540d\u5b57\u53eb\u300cMono-Semanticity\u300d\uff0c\u5355\u8bed\u4e49\u3002\u4e3a\u4ec0\u4e48\u8981\u8ffd\u5bfb\u8fd9\u4e2a\u5355\u8bed\u4e49\u5462\uff1f\u5c31\u662f\u4ed6\u4eec\u53d1\u73b0\uff0c\u57fa\u4e8e\u73b0\u5728\u7684 Transformer \u867d\u7136\u5f88\u597d\u7528\uff0c\u4f46\u662f\u5927\u5bb6\u90fd\u89c9\u5f97\u5b83\u662f\u4e2a\u9ed1\u76d2\u5b50\uff0c\u628a\u5f88\u591a\u7ef4\u5ea6\u7684\u4e1c\u897f superposition \u5230\u4e00\u8d77\uff0c\u4f60\u4e0d\u77e5\u9053\u54ea\u4e2a\u795e\u7ecf\u5143<\/mark>\u5bf9\u5e94\u54ea\u4e2a\u8bf7\u6c42\u3001\u54ea\u4e2a\u8f93\u51fa\u3002<\/p>\n

\u4ed6\u4eec\u73b0\u5728\u5728\u505a\u7684 SAE \u7684\u5c1d\u8bd5\uff0c\u5c31\u662f\u628a\u539f\u6765 MLP \u90a3\u5757\u6539\u6210\u4e00\u4e2a\u5c3d\u53ef\u80fd\u7a00\u758f\u7684 AutoEncoder\uff0c\u8fd9\u6837\u5728\u4e0d\u5f71\u54cd\u6027\u80fd\u7684\u60c5\u51b5\u4e0b\uff0c\u5927\u6982\u80fd\u591f\u7c7b\u4f3c\u4e8e\u751f\u7269\u5b66\u91cc\uff0c\u80fd\u770b\u5230\u54ea\u4e2a\u795e\u7ecf\u5143<\/mark>\u88ab\u6fc0\u6d3b\uff0c\u8fd9\u4e2a\u795e\u7ecf\u5143<\/mark>\u7684\u6fc0\u6d3b\u8def\u5f84\u5927\u6982\u662f\u600e\u6837\u7684\u3002<\/p>\n

Anthropic \u5728 Claude \u4e0a\u9762\u505a\u4e86\u4e00\u4e2a\u5b9e\u9a8c\u53eb\u300cGolden Bridge\u300d\uff0c\u4ed6\u4eec\u4e13\u95e8\u4e0a\u7ebf\u4e86\u4e00\u4e2a\u7248\u672c\u7684 Claude\uff0c\u4f60\u65e0\u8bba\u95ee\u5b83\u4ec0\u4e48\uff0c\u5b83\u56de\u7b54\u91cc\u9762\u90fd\u662f\u300c\u6211\u8ddf\u4f60\u8bf4\u4e00\u4e0b\u91d1\u95e8\u5927\u6865\u2026\u2026\u300d\uff0c\u8fd9\u5f88\u6709\u610f\u601d\uff0c\u56e0\u4e3a\u4ed6\u4eec\u901a\u8fc7\u5b9e\u9a8c\u53d1\u73b0\u91d1\u95e8\u5927\u6865\u662f\u4e00\u4e2a\u89e6\u53d1\u70b9\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a<\/strong>\u7c7b\u4f3c\u4e8e\u7956\u6bcd\u7ec6\u80de\u90a3\u6837\uff1f<\/p>\n

\u9ec4\u4e4b\u9e4f\uff1a<\/strong>\u5bf9\uff0c\u4f60\u53ea\u8981\u4e00\u89e6\u53d1\u8fd9\u4e2a\uff0c\u6a21\u578b\u5c31\u505c\u4e0d\u4e0b\u6765\uff0c\u5c31\u8981\u53cd\u590d\u8bf4\u91d1\u95e8\u5927\u6865\uff0c\u8fd8\u633a\u6709\u610f\u601d\u7684\uff0c\u4ed6\u4eec\u540e\u6765\u628a\u8fd9\u4e2a\u7248\u672c\u4e0b\u7ebf\u4e86\u3002\u6240\u4ee5\u6211\u89c9\u5f97 SAE \u4e5f\u662f\u4e00\u4e2a\u5f88\u6709\u6f5c\u529b\u7684\u65b9\u5411\uff0c\u8ba9\u7f51\u7edc\u7684\u53ef\u89e3\u91ca\u6027\u66f4\u5f3a\u4e00\u4e9b\u3002\u53ef\u89e3\u91ca\u6027\u5f3a\u6709\u4ec0\u4e48\u597d\u5904\u5462\uff1f\u6b63\u597d\u5c31\u53ef\u4ee5\u7275\u51fa\u6765 MoE \u8fd9\u4e2a\u8bdd\u9898\u3002<\/p>\n

\u6211\u4eca\u5e74\u5e74\u521d\u6b63\u597d\u53bb\u6cd5\u56fd\uff0c\u6709\u673a\u4f1a\u8ddf Mistral AI \u7684 CTO Timoth\u00e9e Lacroix \u804a\u4e86\u804a\u3002\u5df4\u9ece\u73b0\u5728\u6709\u4e00\u4e2a\u50cf\u521d\u521b\u5b75\u5316\u5668\u7684\u5730\u65b9\u53eb Station F\uff0c\u6211\u4eec\u6b63\u597d\u8d76\u4e0a\u90a3\u8fb9\u641e\u6d3b\u52a8\uff0c\u5c31\u8fc7\u53bb\u8ddf\u4ed6\u804a\u4e86\u534a\u5929\u3002\u56e0\u4e3a\u6211\u89c9\u5f97 MoE \u4e00\u76f4\u6709\u4e00\u4e2a\u5f88\u5927\u7684\u8bef\u533a\uff0c\u5f53\u7136\u90e8\u5206\u662f\u56e0\u4e3a\u6211\u81ea\u5df1\u4e5f\u8d21\u732e\u8fc7\u7684\u4e00\u4e2a\u9879\u76ee\u53eb mergekit\uff0c\u8fd9\u662f\u4e00\u4e2a\u5408\u5e76 MoE \u6a21\u578b\u7684\u5de5\u5177\u3002\u4f46\u662f mergekit \u7684\u811a\u672c\u91cc\u9762\u660e\u786e\u8981\u6c42\u4e0d\u540c\u7684\u4e13\u5bb6\u8981\u5199\u660e\u4e0d\u540c\u7684\u7528\u5904\uff0c\u6211\u66fe\u7ecf\u5199\u8fc7\u51e0\u4e2a\u7528\u5904\u4e00\u6837\u7684\u4e13\u5bb6\uff0c\u7f16\u8bd1\u662f\u4e0d\u7ed9\u8fc7\u7684\uff0c\u662f\u62a5\u9519\u7684\u3002<\/p>\n

\u7136\u540e\u6211\u5c31\u95ee Timoth\u00e9e\uff0c\u56e0\u4e3a\u73b0\u5728 Stable Diffusion 2 \u4e4b\u540e\uff0c\u5f88\u663e\u7136 diffusion model \u5728\u5f80 Transformer \u8fc1\uff0c\u6bd4\u5982 DiT \u6216\u8005 SiT\u3002\u6211\u8bf4\uff0c\u90a3\u662f\u4e0d\u662f\u4ee5\u540e\u6240\u6709\u751f\u6210\u56fe\u7247\u6216\u751f\u6210\u89c6\u9891\u7684\u6a21\u578b\uff0c\u4e5f\u53ef\u4ee5\u505a MoE\uff0c\u7136\u540e\u8fd9\u4e9b MoE \u53ef\u4ee5\u662f\u4e0d\u540c\u89d2\u8272\u6216\u529f\u80fd\u7684\uff0c\u6bd4\u5982\u8bf4\u6709\u505a\u52a8\u753b\u7684\u4e13\u5bb6\uff0c\u6709\u505a\u4e0d\u540c\u98ce\u683c\u7684\u4e13\u5bb6\u2026\u2026\u4ed6\u56de\u7b54\u6211\u8bf4\uff0c\u9996\u5148 diffusion \u7684 MoE \u80af\u5b9a\u662f\u53ef\u4ee5\u505a\u7684\uff0c\u4f46\u4e0d\u662f\u50cf\u6211\u60f3\u7684\u8fd9\u6837\u3002<\/p>\n

\u786e\u5b9e\uff0cMistral \u81ea\u5df1\u53d1\u7684 MoE \u7684\u8bba\u6587\u91cc\u9762\uff0c\u5b83\u660e\u786e\u5199\u4e86 expert \u662f\u6ca1\u6709\u89d2\u8272\u5206\u5de5\u7684\u3002MoE \u6700\u65e9\u662f Google \u53d1\u7684\u8bba\u6587\uff0c\u4e3b\u8981\u662f\u5bf9\u8fd9\u4e2a\u67b6\u6784\u7684\u4e00\u4e2a\u63cf\u8ff0\uff0c\u786e\u5b9e\u662f\u6709\u5206\u6210\u4e0d\u540c\u7684 expert\uff0c\u4f46\u662f\u5728\u8bad\u7ec3\u7684\u65f6\u5019\uff0c\u6240\u6709\u7684 expert \u5176\u5b9e\u90fd\u662f\u5728\u4e00\u4e2a\u53eb latent space \u7684\u5f88\u9ad8\u7ef4\u7684\u7a7a\u95f4\u91cc\u3002\u4f60\u4e0d\u77e5\u9053\u54ea\u4e2a\u4e13\u5bb6\u5728\u5e72\u4ec0\u4e48\u3002<\/p>\n

\u6240\u4ee5\u8ddf Timoth\u00e9e \u804a\u5b8c\u4e4b\u540e\uff0c\u5bf9\u4e8e\u6211\u6765\u8bf4\u4e5f\u7b97\u662f\u4e00\u4e2a\u6f84\u6e05\uff0c\u6216\u8005\u8bf4\u4e4b\u524d\u6211\u4e5f\u6709\u8bef\u533a\uff0c\u4f60\u5982\u679c\u8bef\u4ee5\u4e3a\u53ea\u662f Mistral \u5b9a\u4e49\u7684 MoE \u4e0d\u505a\u533a\u5206\uff0c\u7136\u540e\u4f60\u4e5f\u8ba4\u4e3a mergekit \u7684\u90a3\u4e2a\u811a\u672c\u662f\u6b63\u786e\u7684\uff0c\u4f60\u5f88\u5bb9\u6613\u5c31\u4ee5\u4e3a\u6bcf\u4e2a expert \u90fd\u6709\u4e0d\u540c\u7684\u89d2\u8272\u3002<\/p>\n

Anthropic \u7684\u53ef\u89e3\u91ca\u6027\u4e13\u5bb6\u4e5f\u8868\u793a\uff0c\u8fd9\u5176\u5b9e\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u96be\u9898\uff0c\u5305\u62ec OpenAI\u3001Anthropic\u3001Mistral\uff0cMoE \u672c\u8eab\u7684\u53ef\u89e3\u91ca\u6027\u76ee\u524d\u6765\u8bf4\u8fd8\u662f\u5f88\u5dee\u7684\uff0c\u4f60\u771f\u7684\u4e0d\u77e5\u9053\u54ea\u4e2a\u4e13\u5bb6\u5728\u5e72\u4ec0\u4e48\uff0c\u4f60\u4e5f\u6ca1\u6cd5\u6309\u7167\u89d2\u8272\u7ed9\u5b83\u4eec\u5b89\u6392\u3002\u4f46\u662f\uff0c\u5982\u679c\u521a\u624d\u8bf4\u7684 sparse autoencoder \u672a\u6765\u771f\u80fd\u505a\u8d77\u6765\u7684\u8bdd\uff0c\u662f\u6709\u53ef\u80fd\u6309\u7167\u89d2\u8272\u53bb\u533a\u5206 MoE \u7684\uff0c\u6216\u8005\u8bf4 MoE \u672a\u6765\u7684\u4e00\u4e2a\u65b9\u5411\u53ef\u80fd\u662f\u4e0e\u53ef\u89e3\u91ca\u6027\u8fde\u5728\u4e00\u8d77\u7684<\/strong>\u3002<\/p>\n

\u8fd8\u6709\u4e00\u4e2a\u4e0e MoE \u76f8\u5173\u7684\u8bdd\u9898\uff0c\u90a3\u5c31\u662f\u91cf\u5316<\/mark>\uff08quantization\uff09\u3002\u4f8b\u5982\uff0c\u73b0\u5728\u6700\u706b\u7684 GGUF \u683c\u5f0f\u7684\u91cf\u5316<\/mark>\u6a21\u578b\uff0c\u5f88\u591a\u4eba\uff0c\u5305\u62ec\u6211\u81ea\u5df1\uff0c\u5728\u8bd5\u7528\u8bb8\u591a\u5927\u6a21\u578b\u65f6\uff0c\u5305\u62ec\u8dd1\u6d4b\u8bd5\uff0c\u57fa\u672c\u90fd\u662f\u5728\u7b14\u8bb0\u672c\u4e0a\u8fdb\u884c\u7684\u3002<\/p>\n

\u73b0\u5728\u4e00\u4e2a\u5927\u7684\u65b9\u5411\u53eb\u4e09\u5143\u8fd0\u7b97\uff08Ternary\uff09\u3002\u6700\u8fd1\u8fd8\u6709\u4e00\u7bc7\u8bba\u6587\u53eb\u300aMatMul Free LLMs\u300b\uff0c\u5b83\u5b9e\u9645\u4e0a\u628a\u77e9\u9635\u4e58\u6cd5\u5168\u90e8\u8f6c\u6362\u6210\u4e86\u52a0\u6cd5\u548c\u963f\u8fbe\u9a6c\u77e9\u9635\uff08Hadamard matrix\uff09\uff0c\u56e0\u4e3a\u91cf\u5316<\/mark>\u5230\u4e09\u5143\u540e\uff0c\u590d\u6742\u5ea6\u4f1a\u964d\u4f4e\u5f88\u591a\uff0c\u8fd9\u53ef\u80fd\u662f\u91cf\u5316<\/mark>\u672a\u6765\u7684\u4e00\u4e2a\u65b9\u5411\u3002\u4f46\u91cf\u5316<\/mark>\u540e\u9762\u4e34\u7684\u6700\u5927\u95ee\u9898\u521a\u624d\u5df2\u7ecf\u63d0\u5230\u4e86\uff0c\u5c31\u662f\u5982\u679c\u9884\u8bad\u7ec3\u5927\u6a21\u578b\u5bf9\u6570\u636e\u7684\u538b\u7f29\u505a\u5f97\u8d8a\u6765\u8d8a\u597d\uff0c\u90a3\u4e48\u7559\u7ed9\u91cf\u5316<\/mark>\u7684\u7a7a\u95f4\u5c31\u8d8a\u6765\u8d8a\u5c11\uff0c\u6240\u4ee5\u672a\u6765\u91cf\u5316<\/mark>\u5982\u4f55\u53d1\u5c55\u4e5f\u503c\u5f97\u5173\u6ce8\u3002<\/p>\n

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

\u8be5\u8bba\u6587\u53d1\u73b0\uff0c\u968f\u7740\u6a21\u578b\u89c4\u6a21\u7684\u6269\u5927\uff0c\u65e0\u77e9\u9635\u4e58\u6cd5\u6a21\u578b\u4e0e\u4f20\u7edf Transformer \u6a21\u578b\u6027\u80fd\u4e4b\u95f4\u7684\u5dee\u8ddd\u8d8a\u6765\u8d8a\u5c0f\uff0c\u5e76\u6709\u53ef\u80fd\u5728\u8d85\u5927\u89c4\u6a21\u6a21\u578b\u4e0a\u8d85\u8d8a\u540e\u8005\u3002\u6765\u6e90\uff1aRui-Jie Zhu et. al<\/em>\uff0cScalable MatMul-free Language Modeling\uff0carxiv.org\/pdf\/2406.02528<\/p>\n

\u8fd8\u5fd8\u4e86\u4e00\u70b9\uff0c\u5c31\u662f MoE \u672c\u8eab\u7684\u4e00\u4e2a\u8d8b\u52bf\uff0c\u4ece DeepSeek \u548c\u5343\u95ee\u8fd9\u4e24\u4e2a\u6211\u4eec\u56fd\u5185\u6bd4\u8f83\u4f18\u79c0\u7684\u5f00\u6e90\u9879\u76ee\u7684\u6280\u672f\u62a5\u544a\u53ef\u4ee5\u770b\u51fa\uff0c\u4ed6\u4eec\u7684 MoE \u90fd\u662f fine-grained \u7684\u3002<\/p>\n

Fine-grained \u7684\u610f\u601d\u662f\uff0c\u5c3d\u53ef\u80fd\u5730\u505a\u5f88\u591a\u5f88\u591a\u4e13\u5bb6\uff0c\u7136\u540e\u53ea\u9009\u53d6\u6fc0\u6d3b\u5176\u4e2d\u7684\u4e00\u90e8\u5206\uff0c\u8fd9\u662f\u73b0\u5728\u7684\u4e00\u4e2a\u8d8b\u52bf\u3002\u4e4b\u524d\u5728\u793e\u4ea4\u7f51\u7edc\u4e0a\u4e5f\u6709\u4eba\u95ee\u8fc7\uff0c\u6709\u6ca1\u6709\u53ef\u80fd\u7ed9 MoE \u505a\u4e00\u4e9b\u526a\u679d<\/mark>\u3002\u540e\u6765\u5927\u5bb6\u8ba8\u8bba\u8bf4\uff0c\u56e0\u4e3a\u53ef\u89e3\u91ca\u6027\u7684\u95ee\u9898\uff0c\u73b0\u5728\u53ef\u4ee5\u505a\u8fd9\u79cd fine-grained \u7684\u53e0\u52a0\uff0c\u4f46\u662f\u4e0d\u77e5\u9053\u8be5\u526a\u54ea\u91cc\uff0c\u56e0\u4e3a\u4e0d\u77e5\u9053\u8c01\u662f\u8c01\u3002\u6240\u4ee5\u5982\u679c\u672a\u6765\u53ef\u89e3\u91ca\u6027\u80fd\u6709\u6240\u7a81\u7834\uff0c\u6bd4\u5982\u6211\u4eec\u6709\u4e00\u4e2a fine-grained \u7684 MoE\uff0c\u5c06\u4f1a\u662f\u5bf9\u7f51\u7edc\u6548\u7387\u7684\u4e00\u4e2a\u63d0\u5347\u3002<\/p>\n

\u4ee5\u4e0a\u5c31\u662f\u6211\u4eec\u901a\u8fc7\u5f00\u6e90\u793e\u533a\u770b\u5230\u7684\u8ddf LLM \u76f8\u5173\u7684\u51e0\u4e2a\u53d1\u5c55\u65b9\u5411\uff0c\u90fd\u662f\u6bd4\u8f83\u7ec6\u8282\u7684\uff0c\u80af\u5b9a\u8fd8\u6709\u5f88\u591a\u6211\u6ca1\u6709\u8bf4\u5230\u3002<\/p>\n

\u5982\u679c\u628a\u65f6\u95f4\u7ebf\u62c9\u5f97\u518d\u957f\u4e00\u70b9\uff0c\u6211\u89c9\u5f97\u6709\u51e0\u4e2a\u8fd8\u6ca1\u6709\u6210\u4e3a\u663e\u5b66\u7684\u8d8b\u52bf\u53ef\u4ee5\u5173\u6ce8\u4e00\u4e0b\uff0c\u4e00\u4e2a\u662f Neuro + AI\u3002\u5982\u679c\u6211\u4eec\u8fd8\u662f\u8ba4\u4e3a\u50cf\u4eba\u8111\u8fd9\u79cd\u4f4e\u80fd\u8017\u3001\u9ad8\u8fd0\u7b97\u6548\u7387\u7684\u65b9\u5f0f\u662f\u503c\u5f97\u8ffd\u6c42\u7684\uff0c\u90a3\u4e48 Neuroscience \u9886\u57df\u8fd8\u6709\u5f88\u591a\u503c\u5f97\u7814\u7a76\u7684\u5730\u65b9\uff0c\u800c\u4e14\u8fd9\u4e9b\u7814\u7a76\u6210\u679c\u53cd\u8fc7\u6765\u4e5f\u4f1a\u4fc3\u8fdb\u4eba\u5de5\u667a\u80fd<\/mark>\u7684\u53d1\u5c55\u3002\u53e6\u5916\u4e00\u4e2a\u6bd4\u8f83\u504f\u95e8\u7684\u9886\u57df\u53eb\u505a\u8303\u7574\u5b66\uff08Category Theory\uff09\uff0c\u5305\u62ec DeepMind<\/mark> \u4e5f\u6709\u4e13\u95e8\u7684\u56e2\u961f\u5728\u7814\u7a76\u8303\u7574\u5b66\u4e0e AI \u7684\u7ed3\u5408\uff0c\u4e3b\u8981\u8fd8\u662f\u5bf9 Al4S \u5e2e\u52a9\u6bd4\u8f83\u5927\u3002\u56e0\u4e3a\u8303\u7574\u5b66\u4e3b\u8981\u7814\u7a76\u7684\u662f\u7ed3\u6784\uff0c\u65e0\u8bba\u662f\u5206\u5b50\u7ed3\u6784\u8fd8\u662f\u836f\u7269\u7ed3\u6784\uff0c\u5982\u679c\u60f3\u66f4\u597d\u5730\u63cf\u8ff0\u548c\u53d1\u73b0\u8fd9\u4e9b\u7ed3\u6784\uff0c\u53ef\u80fd\u786e\u5b9e\u9700\u8981\u4e00\u5957\u6bd4\u8f83\u597d\u7684\u795e\u7ecf\u7f51\u7edc<\/mark>\u7cfb\u7edf\u3002<\/p>\n

\u6240\u4ee5\uff0cNeuro + AI \u548c Category Theory \u662f\u4e24\u4e2a\u73b0\u5728\u6bd4\u8f83\u5c0f\u4f17\uff0c\u4f46\u6211\u8ba4\u4e3a\u672a\u6765\u53ef\u80fd\u4f1a\u6210\u4e3a\u663e\u5b66\uff0c\u5e76\u5e26\u6765\u98a0\u8986\u6027\u53d1\u5c55\u7684\u65b9\u5411\u3002<\/p>\n

\u673a\u5668\u4e4b\u5fc3<\/mark>\uff1a\u63a2\u8ba8\u4e86 AI \u6280\u672f\u7684\u53d1\u5c55\uff0cAI Infra \u5728\u5404\u5c42\u4e0d\u540c\u7684\u8d8b\u52bf\u3001\u503c\u5f97\u5173\u6ce8\u7684\u70b9\uff0c\u56de\u5230\u672c\u6b21\u8bbf\u8c08\u7684\u4e3b\u9898\u2014\u2014\u6280\u672f\u6f14\u53d8\u548c\u5de8\u5934\u535a\u5f08\u4e0b\u7684 AI \u5f00\u6e90\u751f\u6001\uff0c\u6211\u4eec\u9700\u8981\u66f4\u52a0\u6df1\u5165\u5730\u63a2\u8ba8\u4e00\u4e2a\u95ee\u9898\uff1a\u5f00\u6e90\u4e0e\u5c01\u95ed\u4e4b\u4e89\u7684\u672c\u8d28\u7a76\u7adf\u662f\u4ec0\u4e48\uff1f<\/strong><\/p>\n

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

\u52a0\u5dde\u6b63\u5728\u5ba1\u8bae\u4e2d\u7684\u6cd5\u6848 SB 1047\uff0c\u8be5\u6cd5\u6848\u65e8\u5728\u89c4\u8303\u524d\u6cbf\u4eba\u5de5\u667a\u80fd<\/mark>\u6a21\u578b\u7684\u5f00\u53d1\u548c\u4f7f\u7528\uff0c\u4f8b\u5982\u8981\u6c42\u5f00\u53d1\u8005\u5728\u8bad\u7ec3\u524d\u6ee1\u8db3\u7279\u5b9a\u5b89\u5168\u8981\u6c42\uff0c\u5e76\u8fdb\u884c\u5408\u89c4\u6027\u5ba1\u8ba1\u7b49\u3002\u6765\u6e90\uff1aleginfo.legislature.ca.gov<\/p>\n

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

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