{"id":35629,"date":"2024-12-28T15:00:16","date_gmt":"2024-12-28T07:00:16","guid":{"rendered":"https:\/\/17aitech.com\/?p=35629"},"modified":"2024-12-28T15:00:16","modified_gmt":"2024-12-28T07:00:16","slug":"%e3%80%8cllm%e3%80%8d%e8%bf%99%e4%b8%aa%e5%90%8d%e5%ad%97%e4%b8%8d%e5%a5%bd%ef%bc%8ckarpathy%e8%ae%a4%e4%b8%ba%e4%b8%8d%e5%87%86%e7%a1%ae%e3%80%81%e9%a9%ac%e6%96%af%e5%85%8b%e6%80%92%e6%89%b9%e5%a4%aa","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=35629","title":{"rendered":"\u300cLLM\u300d\u8fd9\u4e2a\u540d\u5b57\u4e0d\u597d\uff0cKarpathy\u8ba4\u4e3a\u4e0d\u51c6\u786e\u3001\u9a6c\u65af\u514b\u6012\u6279\u592a\u611a\u8822"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u300cLLM\u300d\u8fd9\u4e2a\u540d\u5b57\u4e0d\u597d\uff0cKarpathy\u8ba4\u4e3a\u4e0d\u51c6\u786e\u3001\u9a6c\u65af\u514b\u6012\u6279\u592a\u611a\u8822<\/a><\/p>\n

\u5728 AI \u9886\u57df\uff0c\u51e0\u4e4e\u6bcf\u4e2a\u4eba\u90fd\u5728\u8c08\u8bba\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u5176\u82f1\u6587\u5168\u79f0\u4e3a Large Language Models\uff0c\u7b80\u5199\u4e3a LLM\u3002<\/p>\n

\u56e0\u4e3a LLM \u4e2d\u6709\u300cLanguage\u300d\u4e00\u8bcd\uff0c\u56e0\u6b64\uff0c\u5927\u5bb6\u9ed8\u8ba4\u8fd9\u79cd\u6280\u672f\u548c\u8bed\u8a00\u5bc6\u5207\u76f8\u5173\u3002<\/p>\n

\u7136\u800c\uff0c\u77e5\u540d AI \u5927\u725b Andrej Karpathy \u5374\u5bf9\u6b64\u6709\u7740\u72ec\u7279\u7684\u89c1\u89e3\uff1a<\/p>\n

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

\u300c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u540d\u5b57\u867d\u7136\u5e26\u6709\u8bed\u8a00\u4e8c\u5b57\uff0c\u4f46\u5b83\u4eec\u5176\u5b9e\u4e0e\u8bed\u8a00\u5173\u7cfb\u4e0d\u5927\uff0c\u8fd9\u53ea\u662f\u5386\u53f2\u95ee\u9898\uff0c\u66f4\u786e\u5207\u7684\u540d\u5b57\u5e94\u8be5\u662f\u81ea\u56de\u5f52 Transformer \u6216\u8005\u5176\u4ed6\u3002<\/p>\n

LLM \u66f4\u591a\u662f\u4e00\u79cd\u7edf\u8ba1\u5efa\u6a21\u7684\u901a\u7528\u6280\u672f\uff0c\u5b83\u4eec\u4e3b\u8981\u901a\u8fc7\u81ea\u56de\u5f52 Transformer \u6765\u6a21\u62df token \u6d41\uff0c\u800c\u8fd9\u4e9b token \u53ef\u4ee5\u4ee3\u8868\u6587\u672c\u3001\u56fe\u7247\u3001\u97f3\u9891\u3001\u52a8\u4f5c\u9009\u62e9\u3001\u751a\u81f3\u662f\u5206\u5b50\u7b49\u4efb\u4f55\u4e1c\u897f\u3002\u56e0\u6b64\uff0c\u53ea\u8981\u80fd\u5c06\u95ee\u9898\u8f6c\u5316\u4e3a\u6a21\u62df\u4e00\u7cfb\u5217\u79bb\u6563 token \u7684\u6d41\u7a0b\uff0c\u7406\u8bba\u4e0a\u90fd\u53ef\u4ee5\u5e94\u7528 LLM \u6765\u89e3\u51b3\u3002\u00a0<\/p>\n

\u5b9e\u9645\u4e0a\uff0c\u968f\u7740\u5927\u578b\u8bed\u8a00\u6a21\u578b\u6280\u672f\u6808\u7684\u65e5\u76ca\u6210\u719f\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u770b\u5230\u8d8a\u6765\u8d8a\u591a\u7684\u95ee\u9898\u88ab\u7eb3\u5165\u8fd9\u79cd\u5efa\u6a21\u8303\u5f0f\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u95ee\u9898\u56fa\u5b9a\u5728\u4f7f\u7528 LLM \u8fdb\u884c\u300e\u4e0b\u4e00\u4e2a token \u7684\u9884\u6d4b\u300f\uff0c\u53ea\u662f\u6bcf\u4e2a\u9886\u57df\u4e2d token \u7684\u7528\u9014\u548c\u542b\u4e49\u6709\u6240\u4e0d\u540c\u3002\u00a0<\/p>\n

\u5982\u679c\u6838\u5fc3\u95ee\u9898\u771f\u7684\u53d8\u6210\u4e86\u9884\u6d4b\u4e0b\u4e00\u4e2a token\uff0c\u90a3\u4e48\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff08\u4f8b\u5982 PyTorch \u53ca\u5176\u540c\u7c7b\u6846\u67b6\uff0c \u56e0\u4e3a PyTorch \u63d0\u4f9b\u4e86\u8fc7\u4e8e\u5e7f\u6cdb\u7684\u64cd\u4f5c\u548c\u5c42\u7684\u53ef\u914d\u7f6e\u6027\u800c\u663e\u5f97\u8fc7\u4e8e\u666e\u901a\uff09\u4e5f\u53ef\u80fd\u8fc7\u4e8e\u666e\u901a\uff0c\u65e0\u6cd5\u6ee1\u8db3\u5927\u591a\u6570\u95ee\u9898\u968f\u65f6\u95f4\u63a8\u79fb\u7684\u9700\u8981\u3002\u5982\u679c 80% \u7684\u95ee\u9898\u53ea\u9700\u8981\u4f7f\u7528 LLM \u6765\u89e3\u51b3\uff0c\u90a3\u4e48\u6210\u5343\u4e0a\u4e07\u4e2a\u53ef\u4ee5\u968f\u610f\u91cd\u65b0\u914d\u7f6e\u7684\u64cd\u4f5c\u548c\u5c42\u53c8\u6709\u4ec0\u4e48\u7528\u5462\uff1f\u6211\u8ba4\u4e3a\u8fd9\u4e0d\u662f\u771f\u7684\uff0c\u4f46\u6211\u8ba4\u4e3a\u5b83\u53ea\u5bf9\u4e86\u4e00\u534a\u3002\u300d<\/p>\n

Karpathy \u7684\u8fd9\u756a\u8a00\u8bba\u5f15\u6765\u5f88\u591a\u4eba\u56f4\u89c2\uff0c\u6d4f\u89c8\u91cf\u9ad8\u8fbe 20 \u591a\u4e07\u3002<\/p>\n

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

Karpathy \u66fe\u662f OpenAI \u7684\u65e9\u671f\u6210\u5458\u4e4b\u4e00\uff0c\u4e4b\u540e\u52a0\u5165\u7279\u65af\u62c9\u9886\u5bfc\u5176\u81ea\u52a8\u9a7e\u9a76\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u56e2\u961f\u3002\u4e4b\u540e\u4ed6\u53c8\u56de\u5230\u8fc7 OpenAI\uff0c\u9886\u5bfc\u7740\u4e00\u4e2a\u4e13\u6ce8\u63d0\u5347 ChatGPT \u7684 GPT-4 \u7684\u5c0f\u56e2\u961f\u3002\u4eca\u5e74 7 \u6708\uff0c\u4ed6\u5ba3\u5e03\u521b\u7acb\u4e86\u4e00\u5bb6\u540d\u4e3a Eureka Labs \u7684 AI + \u6559\u80b2\u516c\u53f8\u3002<\/p>\n

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

\u4f5c\u4e3a\u524d\u6392\u5403\u74dc\u7fa4\u4f17\u7684\u9a6c\u65af\u514b\u975e\u5e38\u8d5e\u540c\u7684\u8868\u793a\uff1a\u8fd9\u7edd\u5bf9\u9700\u8981\u4e00\u4e2a\u65b0\u540d\u5b57\uff0c\u300c\u591a\u6a21\u6001 LLM\uff08Multimodal Large Language Models\uff09\u300d\u662f\u4e00\u4e2a\u7279\u522b\u611a\u8822\u7684\u540d\u5b57\uff0c\u56e0\u4e3a\u7b2c\u4e00\u4e2a\u8bcd\u4e0e\u7b2c\u4e09\u4e2a\u8bcd\u76f8\u77db\u76fe\uff01<\/p>\n

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

\u673a\u5668\u5b66\u4e60\u548c AI \u7814\u7a76\u5458\u3001\u7545\u9500\u4e66\u300aPython \u673a\u5668\u5b66\u4e60\u300b\u4f5c\u8005 Sebastian Raschka \u4e5f\u975e\u5e38\u8d5e\u540c\uff0c\u4ed6\u8868\u793a\uff1a\u5982\u679c\u5c06 LLM \u6539\u4e3a\u81ea\u56de\u5f52 Transformers \u6216\u8005\u5176\u4ed6\u540d\u5b57\u7684\u8bdd\uff0c\u90a3 Mamba\u3001Jamba\u3001Samba \u53ef\u4ee5\u7533\u8bf7\u52a0\u5165\u5417\u3002\u4e0d\u7ba1\u600e\u6837\uff0c\u8fd8\u662f\u975e\u5e38\u8d5e\u540c Karpathy \u89c2\u70b9\u3002<\/p>\n

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

\u4e0d\u8fc7\uff0c\u6765\u81ea OpenAI \u7684\u7814\u7a76\u8005 Clive Chan \u5374\u8868\u793a\uff1a\u53e6\u4e00\u65b9\u9762\uff0c\u4e5f\u8bb8\u6240\u6709\u53ef\u4ee5\u7528\u81ea\u56de\u5f52\u65b9\u5f0f\u8868\u8fbe\u7684\u4e1c\u897f\u90fd\u53ef\u4ee5\u88ab\u89c6\u4e3a\u4e00\u79cd\u8bed\u8a00\u3002\u4efb\u4f55\u4e8b\u7269\u90fd\u53ef\u4ee5\u88ab\u8f6c\u5316\u4e3a\u4e00\u4e32 token \u6d41\uff0c\u56e0\u6b64\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u770b\uff0c\u4e00\u5207\u90fd\u662f\u8bed\u8a00\uff01<\/p>\n

\u5bf9\u4e8e\u8fd9\u79cd\u8bf4\u6cd5\uff0cKarpathy \u56de\u590d\u5230\uff1a\u5f53\u7136\uff0c\u4f60\u53ef\u4ee5\u60f3\u8c61\u8bf4\u8bdd\u7eb9\u7406\u3001\u8bf4\u8bdd\u5206\u5b50\u7b49\u7b49\u3002\u4f46\u6211\u6240\u89c2\u5bdf\u5230\u7684\u662f\uff0c\u8bed\u8a00\u8fd9\u4e2a\u8bcd\u8bef\u5bfc\u4e86\u4eba\u4eec\u8ba4\u4e3a\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u53ea\u9650\u4e8e\u6587\u672c\u5e94\u7528\u3002<\/p>\n

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

\u5728 Meta \u4ece\u4e8b PyTorch \u7814\u7a76\u7684 Horace He \u8868\u793a\uff1a\u786e\u5b9e\uff0c\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u53ef\u80fd\u5728\u67d0\u4e9b\u65b9\u9762\u8fc7\u4e8e\u666e\u904d\u3002\u5c3d\u7ba1\u5982\u6b64\uff0c\u5373\u4fbf\u53ea\u662f\u9488\u5bf9\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\uff0c\u5b9e\u9645\u8fd0\u884c\u7684\u64cd\u4f5c\u4e5f\u6709\u5f88\u5927\u7684\u53d8\u5316\u3002\u8fd9\u5305\u62ec\u65b0\u7684\u6ce8\u610f\u529b\u64cd\u4f5c\u3001\u6df7\u5408\u4e13\u5bb6\u6a21\u578b\uff08MoE\uff09\u3001\u4e0d\u540c\u53d8\u4f53\u7684\u6fc0\u6d3b\u68c0\u67e5\u70b9\u3001\u4e0d\u540c\u7684\u4f4d\u7f6e\u5d4c\u5165\u7b49\u3002<\/p>\n

\u5728 Horace He \u770b\u6765\uff0c\u8fd9\u4e9b\u6280\u672f\u7684\u591a\u6837\u6027\u8bf4\u660e\uff0c\u5373\u4f7f\u662f\u5728\u4e13\u6ce8\u4e8e LLM \u7684\u5e94\u7528\u4e2d\uff0c\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u7684\u901a\u7528\u6027\u4e5f\u662f\u6709\u5176\u5fc5\u8981\u6027\u7684\uff0c\u4ee5\u9002\u5e94\u4e0d\u65ad\u53d1\u5c55\u548c\u53d8\u5316\u7684\u6a21\u578b\u9700\u6c42\u3002\u00a0<\/p>\n

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

\u00a0\u300c\u50cf LLMs\u3001GPT \u548c RLHF \u8fd9\u6837\u7684\u672f\u8bed\u73b0\u5728\u53d8\u6210\u4e3b\u6d41\uff0c\u8fd9\u5b9e\u5728\u6709\u4e9b\u5947\u602a\u3002\u901a\u5e38\uff0c\u4e00\u4e2a\u9886\u57df\u5411\u66f4\u5e7f\u6cdb\u7684\u4e16\u754c\u4ecb\u7ecd\u81ea\u5df1\u65f6\u5e76\u4e0d\u4f1a\u8fd9\u6837\u505a\uff08\u5728\u6211\u770b\u6765\uff0c\u8fd9\u4e5f\u662f\u6709\u4e9b\u673a\u6784\u54c1\u724c\u63a8\u5e7f\u5931\u8d25\u7684\u539f\u56e0\uff09\u3002\u300d\u6709\u4eba\u53d1\u8868\u4e86\u8fd9\u6837\u7684\u89c2\u70b9\u3002<\/p>\n

\u8fd9\u79cd\u60c5\u51b5\u53cd\u6620\u4e86\u590d\u6742\u6280\u672f\u672f\u8bed\u7684\u666e\u53ca\u53ef\u80fd\u5e76\u4e0d\u603b\u80fd\u6709\u6548\u5730\u4ee3\u8868\u5176\u771f\u5b9e\u7684\u5e94\u7528\u548c\u5f71\u54cd\uff0c\u6709\u65f6\u751a\u81f3\u53ef\u80fd\u5bfc\u81f4\u516c\u4f17\u7406\u89e3\u4e0a\u7684\u56f0\u96be\u3002\u00a0<\/p>\n

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

\u8fd8\u6709\u7f51\u53cb\u8ba4\u4e3a\uff0c\u300cLarge\u300d\u8fd9\u4e2a\u8bcd\u7528\u7684\u4e5f\u4e0d\u597d\uff0c\u56e0\u4e3a\u4eca\u5929\u7684\u300c\u5927\u300d\u5728\u672a\u6765\u4f1a\u663e\u5f97\u300c\u5c0f\u300d\u3002<\/p>\n

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

\u300c \u540c\u6837\u7684\u60c5\u51b5\u4e5f\u9002\u7528\u4e8e\u7535\u8bdd\u548c\u8ba1\u7b97\u673a\u9886\u57df\uff0c\u770b\u8d77\u6765\u6700\u521d\u7684\u672f\u8bed\u5f80\u5f80\u4f1a\u4fdd\u6301\u4f7f\u7528\u3002\u300d<\/p>\n

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

\u8fd9\u4e0d\u7531\u5f97\u8ba9\u6211\u4eec\u60f3\u8d77 AI \u9886\u57df\u5404\u79cd\u547d\u540d\u65b9\u5f0f\uff0c\u65e9\u671f\u7684\u540d\u79f0\u5f80\u5f80\u56e0\u4e3a\u5148\u5165\u4e3a\u4e3b\u7684\u6548\u5e94\u800c\u88ab\u5e7f\u6cdb\u6cbf\u7528\uff0c\u5373\u4f7f\u968f\u7740\u6280\u672f\u7684\u6f14\u8fdb\uff0c\u8fd9\u4e9b\u540d\u79f0\u53ef\u80fd\u5df2\u4e0d\u518d\u51c6\u786e\u63cf\u8ff0\u5176\u529f\u80fd\u4e86\u3002\u00a0<\/p>\n

\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5230\u5e95\u5e94\u4e0d\u5e94\u8be5\u6539\u540d\uff0c\u4f60\u600e\u4e48\u770b\uff0c\u6b22\u8fce\u8bc4\u8bba\u533a\u7559\u8a00\u3002<\/p>\n

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