{"id":34768,"date":"2024-12-12T16:57:37","date_gmt":"2024-12-12T08:57:37","guid":{"rendered":"https:\/\/17aitech.com\/?p=34768"},"modified":"2024-12-12T16:57:37","modified_gmt":"2024-12-12T08:57:37","slug":"%e4%b8%ba%e4%bb%80%e4%b9%88ai%e6%95%b0%e4%b8%8d%e6%b8%85strawberry%e9%87%8c%e6%9c%89%e5%87%a0%e4%b8%aa-r%ef%bc%9fkarpathy%ef%bc%9a%e6%88%91%e7%94%a8%e8%a1%a8%e6%83%85%e5%8c%85%e7%bb%99%e4%bd%a0","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34768","title":{"rendered":"\u4e3a\u4ec0\u4e48AI\u6570\u4e0d\u6e05Strawberry\u91cc\u6709\u51e0\u4e2a r\uff1fKarpathy\uff1a\u6211\u7528\u8868\u60c5\u5305\u7ed9\u4f60\u89e3\u91ca\u4e00\u4e0b"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u4e3a\u4ec0\u4e48AI\u6570\u4e0d\u6e05Strawberry\u91cc\u6709\u51e0\u4e2a r\uff1fKarpathy\uff1a\u6211\u7528\u8868\u60c5\u5305\u7ed9\u4f60\u89e3\u91ca\u4e00\u4e0b<\/a><\/p>\n

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\u8ba9\u6a21\u578b\u77e5\u9053\u81ea\u5df1\u64c5\u957f\u4ec0\u4e48\u3001\u4e0d\u64c5\u957f\u4ec0\u4e48\u662f\u4e00\u4e2a\u5f88\u91cd\u8981\u7684\u95ee\u9898\u3002<\/p>\n<\/section>\n<\/blockquote>\n

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\u8fd8\u8bb0\u5f97\u8fd9\u4e9b\u5929\u5927\u6a21\u578b\u88ab\u63ea\u51fa\u6765\u7684\u4f4e\u7ea7\u9519\u8bef\u5417\uff1f<\/section>\n
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\u4e0d\u77e5\u9053 9.11 \u548c 9.9 \u54ea\u4e2a\u5927\uff0c\u6570\u4e0d\u6e05 Strawberry \u5355\u8bcd\u91cc\u9762\u6709\u591a\u5c11\u4e2a r\u2026\u2026 \u6bcf\u6bcf\u88ab\u53d1\u73b0\u4e00\u4e2a\u5f31\u70b9\uff0c\u5927\u6a21\u578b\u90fd\u53ea\u80fd\u63a5\u53d7\u4eba\u4eec\u7684\u65e0\u60c5\u5632\u7b11\u3002<\/section>\n
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\u5632\u7b11\u4e4b\u540e\uff0c\u5927\u5bb6\u4e5f\u51b7\u9759\u4e86\u4e0b\u6765\uff0c\u5f00\u59cb\u601d\u8003\uff1a\u4f4e\u7ea7\u9519\u8bef\u80cc\u540e\u7684\u672c\u8d28\u662f\u4ec0\u4e48\uff1f<\/section>\n
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\u5927\u5bb6\u666e\u904d\u8ba4\u4e3a\uff0c\u662f Token \u5316\uff08Tokenization\uff09\u7684\u9505\u3002<\/section>\n
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\u5728\u56fd\u5185\uff0cTokenization \u7ecf\u5e38\u88ab\u7ffb\u8bd1\u6210\u300c\u5206\u8bcd\u300d\u3002\u8fd9\u4e2a\u7ffb\u8bd1\u6709\u4e00\u5b9a\u7684\u8bef\u5bfc\u6027\uff0c\u56e0\u4e3a Tokenization \u91cc\u7684 token \u6307\u7684\u672a\u5fc5\u662f\u8bcd\uff0c\u4e5f\u53ef\u4ee5\u662f\u6807\u70b9\u7b26\u53f7\u3001\u6570\u5b57\u6216\u8005\u67d0\u4e2a\u5355\u8bcd\u7684\u4e00\u90e8\u5206\u3002\u6bd4\u5982\uff0c\u5728 OpenAI \u63d0\u4f9b\u7684\u4e00\u4e2a\u5de5\u5177\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0cStrawberry \u8fd9\u4e2a\u5355\u8bcd\u5c31\u88ab\u5206\u4e3a\u4e86 Str-aw-berry \u4e09\u4e2a token\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u4f60\u8ba9 AI \u5927\u6a21\u578b\u6570\u5355\u8bcd\u91cc\u6709\u51e0\u4e2a r\uff0c\u5c5e\u5b9e\u662f\u4e3a\u96be\u5b83\u3002<\/section>\n
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\u9664\u4e86\u8349\u8393 (Strawberry) \u4e4b\u5916\uff0c\u8fd8\u6709\u4e00\u4e2a\u5f88\u597d\u7684\u4f8b\u5b50\u5c31\u662f\u300cSchoolbooks\u300d\u8fd9\u4e2a\u8bcd\uff0cAI \u6a21\u578b\u4f1a\u628a\u5b83\u5206\u4e3a school \u548c books \u4e24\u4e2a token\u3002<\/section>\n
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\u8fd9\u4e2a\u95ee\u9898\u4e5f\u5438\u5f15\u4e86\u521a\u521a\u6295\u8eab AI + \u6559\u80b2\u884c\u4e1a\u7684 Karpathy \u7684\u6ce8\u610f\u3002\u4e3a\u4e86\u8ba9\u5927\u5bb6\u76f4\u89c2\u5730\u770b\u5230\u5927\u6a21\u578b\u773c\u91cc\u7684\u6587\u5b57\u4e16\u754c\uff0c\u4ed6\u7279\u5730\u5199\u4e86\u4e00\u4e2a\u5c0f\u7a0b\u5e8f\uff0c\u7528\u8868\u60c5\u7b26\u53f7\uff08emoji\uff09\u6765\u8868\u793a token\u3002<\/section>\n
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\u6309\u7167\u5c0f\u7a0b\u5e8f\u88ab\u8bbe\u8ba1\u7684\u8868\u793a\u65b9\u6cd5\uff0c\u300cHow many letters ‘r’ in the word’strawberry’?\u300d\u5728 LLM \u770b\u6765\u662f\u8fd9\u6837\u7684\uff1a<\/section>\n
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\u4e00\u6bb5\u6587\u672c\u5728 LLM \u770b\u6765\u4f1a\u662f\u8fd9\u6837\uff1a<\/section>\n
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\u4f46\u8fd9\u79cd\u89e3\u91ca\u4e5f\u5f15\u8d77\u4e86\u53e6\u4e00\u79cd\u7591\u95ee\uff1a\u5982\u679c\u4f60\u8ba9\u5927\u6a21\u578b\u628a Strawberry \u8fd9\u4e2a\u8bcd\u7684\u6bcf\u4e2a\u5b57\u6bcd\u90fd\u5217\u51fa\u6765\uff0c\u7136\u540e\u5220\u6389 r \u4ee5\u5916\u7684\u5b57\u6bcd\uff0c\u5927\u6a21\u578b\u5c31\u80fd\u6570\u5bf9\u4e86\uff0c\u90a3\u5927\u6a21\u578b\u4e3a\u4ec0\u4e48\u81ea\u5df1\u4e0d\u8fd9\u4e48\u505a\u5462\uff1f\u5b83\u597d\u50cf\u4e0d\u592a\u4f1a\u5229\u7528\u81ea\u5df1\u7684\u80fd\u529b\u3002<\/section>\n
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\u5bf9\u6b64\uff0cKarpathy \u7ed9\u51fa\u7684\u56de\u590d\u662f\u300c\u56e0\u4e3a\u6ca1\u6709\u4eba\u6559\u5b83\u8fd9\u4e48\u505a\u300d\u3002<\/section>\n
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\u5176\u5b9e\uff0c\u5982\u679c\u4f60\u5728 Prompt \u91cc\u52a0\u4e0a\u300cthink step by step\u300d\u7b49\u601d\u7ef4\u94fe\u76f8\u5173\u300c\u5492\u8bed\u300d\uff0c\u5927\u6a21\u578b\u662f\u53ef\u4ee5\u5206\u6b65\u9aa4\u89e3\u51b3\u95ee\u9898\u7684\uff0c\u800c\u4e14\u5f88\u6709\u53ef\u80fd\u6570\u5bf9\u300cr\u300d\u7684\u6570\u91cf\u3002\u90a3\u5b83\u4e4b\u524d\u4e0d\u5047\u601d\u7d22\u5c31\u7ed9\u51fa\u7b54\u6848\uff0c\u662f\u4e0d\u662f\u56e0\u4e3a\u8fc7\u5ea6\u81ea\u4fe1\uff1f \u00a0\u00a0<\/section>\n
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\u5bf9\u6b64\uff0c\u6709\u4eba\u731c\u6d4b\u8bf4\uff0c\u5927\u6a21\u578b\u516c\u53f8\u7ed9 LLM \u7684\u8bbe\u5b9a\u53ef\u80fd\u5c31\u662f\u8ba9\u5b83\u5728\u4e00\u4e2a\u95ee\u9898\u4e0a\u82b1\u8d39\u5c3d\u53ef\u80fd\u5c11\u7684\u65f6\u95f4\uff0c\u56e0\u6b64\uff0c\u9664\u975e\u4f60\u660e\u786e\u8981\u6c42\uff0c\u4e0d\u7136\u5b83\u4e0d\u4f1a\u4e3b\u52a8\u53bb\u6df1\u5165\u601d\u8003\u3002<\/section>\n
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\u5bf9\u4e8e\u8fd9\u79cd\u8bf4\u6cd5\uff0c\u6211\u4eec\u4e5f\u6d4b\u8bd5\u4e86\u4e00\u4e0b\u3002\u7ed3\u679c\u53d1\u73b0\uff0c\u5982\u679c\u660e\u786e\u8981\u6c42\u6df1\u5165\u601d\u8003\uff0c\u6a21\u578b\u786e\u5b9e\u7acb\u9a6c\u5c31\u4f1a\u6570\u4e86\uff1a \u00a0\u00a0<\/section>\n
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\u8fd9\u5c31\u7c7b\u4f3c\u4e8e\u5b83\u6709\u4e24\u5957\u7cfb\u7edf\uff1a\u5feb\u901f\u3001\u4f9d\u9760\u76f4\u89c9\u7684\u7cfb\u7edf 1 \u548c\u8f83\u6162\u3001\u8f83\u5177\u8ba1\u5212\u6027\u4e14\u66f4\u4ef0\u8d56\u903b\u8f91\u7684\u7cfb\u7edf 2\uff0c\u5e73\u65f6\u9ed8\u8ba4\u4f7f\u7528\u7cfb\u7edf 1\u3002<\/section>\n
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\u5f53\u7136\uff0c\u8fd9\u4e9b\u53ea\u662f\u731c\u6d4b\u3002<\/section>\n
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\u7efc\u5408\u6700\u8fd1\u7684\u65b0\u95fb\u6765\u770b\uff0c\u6211\u4eec\u4f1a\u53d1\u73b0\u4e00\u4e2a\u6709\u610f\u601d\u7684\u73b0\u8c61\uff1a\u4e00\u65b9\u9762\uff0c\u5927\u6a21\u578b\u90fd\u80fd\u5728\u4eba\u7c7b\u5965\u6570\u4e2d\u62ff\u94f6\u724c\u4e86\uff1b\u800c\u53e6\u4e00\u65b9\u9762\uff0c\u5b83\u4eec\u53c8\u5728\u6570\u6570\u3001\u6bd4\u5927\u5c0f\u65b9\u9762\u96c6\u4f53\u7ffb\u8f66\u3002\u7c7b\u4f3c\u7684\u4f8b\u5b50\u8fd8\u6709\u4e0d\u4f1a\u73a9\u51e0\u5c81\u5c0f\u5b69\u90fd\u4f1a\u73a9\u7684\u4e95\u5b57\u68cb\uff0c\u4e0d\u4f1a\u5224\u65ad\u4e24\u4e2a\u5706\u662f\u5426\u91cd\u53e0\u7b49\u3002<\/section>\n
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Karpathy \u7ed9\u8fd9\u79cd\u73b0\u8c61\u53d6\u4e86\u4e2a\u540d\u5b57 \u2014\u2014Jagged Intelligence<\/strong>\uff08Jagged \u7684\u610f\u601d\u662f\u53c2\u5dee\u4e0d\u9f50\u7684\uff09\u3002\u8fd9\u79cd\u53c2\u5dee\u4e0d\u9f50\u7684\u667a\u80fd\u8868\u73b0\u548c\u4eba\u7c7b\u662f\u4e0d\u4e00\u6837\u7684\uff0c\u4eba\u7c7b\u7684\u77e5\u8bc6\u4f53\u7cfb\u548c\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u5728\u6210\u957f\u8fc7\u7a0b\u4e2d\u662f\u9ad8\u5ea6\u76f8\u5173\u7684\uff0c\u5e76\u4e14\u662f\u540c\u6b65\u7ebf\u6027\u53d1\u5c55\u7684\uff0c\u800c\u4e0d\u662f\u5728\u67d0\u4e9b\u9886\u57df\u7a81\u7136\u5927\u5e45\u5ea6\u63d0\u5347\uff0c\u800c\u5728\u5176\u4ed6\u9886\u57df\u5374\u505c\u6ede\u4e0d\u524d\u3002<\/section>\n
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Karpathy \u8ba4\u4e3a\uff0c\u8fd9\u4e00\u95ee\u9898\u7684\u6838\u5fc3\u5728\u4e8e\u76ee\u524d\u7684\u5927\u6a21\u578b\u7f3a\u4e4f\u300c\u8ba4\u77e5\u81ea\u6211\u77e5\u8bc6\uff08cognitive self-knowledge<\/strong>\uff09\u300d<\/strong>\uff08 \u6a21\u578b\u81ea\u8eab\u5bf9\u5176\u77e5\u8bc6\u548c\u80fd\u529b\u7684\u81ea\u6211\u8ba4\u77e5 \uff09\u3002\u5982\u679c\u6a21\u578b\u5177\u5907\u8fd9\u79cd\u80fd\u529b\uff0c\u5b83\u53ef\u80fd\u4f1a\u5728\u9762\u5bf9\u300c\u6570\u5b57\u6bcd\u300d\u8fd9\u6837\u7684\u95ee\u9898\u65f6\u56de\u7b54\u8bf4\uff0c\u300c\u6211\u4e0d\u592a\u64c5\u957f\u6570\u5b57\u6bcd\uff0c\u8ba9\u6211\u4f7f\u7528\u4ee3\u7801\u89e3\u91ca\u5668\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u300d\u3002<\/section>\n
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\u8fd9\u4e00\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\u53ef\u80fd\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u6269\u5927\u89c4\u6a21\uff0c\u53ef\u80fd\u9700\u8981\u5728\u6574\u4e2a\u6280\u672f\u6808\u7684\u5404\u4e2a\u65b9\u9762\u90fd\u505a\u4e00\u4e9b\u5de5\u4f5c\uff0c\u6bd4\u5982\u5728\u540e\u8bad\u7ec3\u9636\u6bb5\u91c7\u7528\u66f4\u590d\u6742\u7684\u65b9\u6cd5\u3002<\/section>\n
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\u5bf9\u6b64\uff0cKarpathy \u63a8\u8350\u9605\u8bfb Llama 3 \u8bba\u6587\u7684 4.3.6 \u7ae0\u8282\u3002\u5728\u6b64\u7ae0\u8282\u4e2d\uff0cMeta \u7684\u7814\u7a76\u8005\u63d0\u51fa\u4e86\u4e00\u4e9b\u65b9\u6cd5\u6765\u8ba9\u6a21\u578b\u300c\u53ea\u56de\u7b54\u5b83\u77e5\u9053\u7684\u95ee\u9898\u300d\u3002<\/section>\n
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\u8be5\u7ae0\u8282\u5199\u5230\uff1a<\/section>\n
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\u6211\u4eec\u9075\u5faa\u7684\u539f\u5219\u662f\uff0c\u540e\u8bad\u7ec3\u5e94\u4f7f\u6a21\u578b\u300c\u77e5\u9053\u5b83\u77e5\u9053\u4ec0\u4e48\u300d\uff0c\u800c\u4e0d\u662f\u589e\u52a0\u77e5\u8bc6\u3002\u6211\u4eec\u7684\u4e3b\u8981\u65b9\u6cd5\u662f\u751f\u6210\u6570\u636e\uff0c\u4f7f\u6a21\u578b\u751f\u6210\u4e0e\u9884\u8bad\u7ec3\u6570\u636e\u4e2d\u7684\u4e8b\u5b9e\u6570\u636e\u5b50\u96c6\u4fdd\u6301\u4e00\u81f4\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u77e5\u8bc6\u63a2\u6d4b\u6280\u672f\uff0c\u5229\u7528 Llama 3 \u7684 in-context \u80fd\u529b\u3002\u6570\u636e\u751f\u6210\u8fc7\u7a0b\u5305\u62ec\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
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1\u3001\u4ece\u9884\u8bad\u7ec3\u6570\u636e\u4e2d\u63d0\u53d6\u6570\u636e\u7247\u6bb5\u3002<\/section>\n
2\u3001\u901a\u8fc7\u63d0\u793a Llama 3 \u751f\u6210\u4e00\u4e2a\u5173\u4e8e\u8fd9\u4e9b\u7247\u6bb5\uff08\u4e0a\u4e0b\u6587\uff09\u7684\u4e8b\u5b9e\u95ee\u9898\u3002<\/section>\n
3\u3001\u91c7\u6837 Llama 3 \u5173\u4e8e\u8be5\u95ee\u9898\u7684\u56de\u7b54\u3002<\/section>\n
4\u3001\u4ee5\u539f\u59cb\u4e0a\u4e0b\u6587\u4e3a\u53c2\u7167\uff0c\u4ee5 Llama 3 \u4e3a\u88c1\u5224\uff0c\u8bc4\u4f30\u751f\u6210\u7684\u56de\u7b54\u7684\u6b63\u786e\u6027\u3002\u00a0<\/section>\n
5\u3001\u4ee5 Llama 3 \u4e3a\u88c1\u5224\uff0c\u8bc4\u4f30\u751f\u6210\u56de\u7b54\u7684\u4fe1\u606f\u91cf\u3002<\/section>\n
6\u3001\u5bf9\u4e8e Llama 3 \u6a21\u578b\u5728\u591a\u4e2a\u751f\u6210\u8fc7\u7a0b\u4e2d\u63d0\u4f9b\u7684\u4fe1\u606f\u867d\u591a\u4f46\u5185\u5bb9\u4e0d\u6b63\u786e\u7684\u56de\u7b54\uff0c\u4f7f\u7528 Llama 3 \u751f\u6210\u62d2\u7edd\u56de\u7b54\u7684\u5185\u5bb9\u3002\u00a0<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
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<\/section>\n
\u53c2\u8003\u94fe\u63a5\uff1ahttps:\/\/www.reddit.com\/r\/ChatGPT\/comments\/1e6do2a\/why_the_strawberry_problem_is_hard_for_llms\/<\/sup><\/em><\/section>\n
https:\/\/x.com\/karpathy\/status\/1816531576228053133<\/sup><\/em><\/section>\n

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