{"id":39465,"date":"2025-03-17T03:02:26","date_gmt":"2025-03-16T19:02:26","guid":{"rendered":"https:\/\/17aitech.com\/?p=39465"},"modified":"2025-03-17T03:02:26","modified_gmt":"2025-03-16T19:02:26","slug":"ai%e8%bf%9b%e5%85%a5%e6%8e%a8%e7%90%86%e6%a8%a1%e5%9e%8b%e6%97%b6%e4%bb%a3%ef%bc%8c%e4%b8%80%e6%96%87%e5%b8%a6%e4%bd%a0%e8%af%bb%e6%87%82%e6%80%9d%e7%bb%b4%e9%93%be","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39465","title":{"rendered":"AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe<\/a><\/p>\n

\u8fd1\u6bb5\u65f6\u95f4\uff0c\u63a8\u7406\u6a21\u578b DeepSeek R1 \u53ef\u8bf4\u662f AI \u9886\u57df\u7684\u5934\u53f7\u8bdd\u9898\u3002\u7528\u8fc7\u7684\u90fd\u77e5\u9053\uff0c\u8be5\u6a21\u578b\u5728\u8f93\u51fa\u6700\u7ec8\u56de\u7b54\u4e4b\u524d\uff0c\u4f1a\u5148\u8f93\u51fa\u4e00\u6bb5\u601d\u7ef4\u94fe\u5185\u5bb9\u3002\u8fd9\u6837\u505a\u53ef\u4ee5\u63d0\u5347\u6700\u7ec8\u7b54\u6848\u7684\u51c6\u786e\u6027\u3002<\/section>\n
<\/section>\n
\u4eca\u5929\u8fd9\u7bc7\u6587\u7ae0\u5c06\u5e26\u4f60\u4e86\u89e3\u601d\u7ef4\u94fe\uff08CoT\uff09\u7684\u76f8\u5173\u7814\u7a76\u548c\u6280\u672f\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\uff08\u56fe\u6ce8\uff09\u67d0\u4e9b\u5f62\u5f0f\u7684\u63a8\u7406\u6280\u5de7\u3002<\/sup><\/em><\/section>\n
<\/section>\n
\u601d\u7ef4\u94fe\uff08CoT\uff09<\/strong>\u5df2\u7ecf\u5b58\u5728\u4e86\u76f8\u5f53\u957f\u7684\u4e00\u6bb5\u65f6\u95f4\u3002\u4ece\u6280\u672f\u4e0a\u8bb2\uff0c\u5b83\u662f\u4e00\u79cd\u9ad8\u7ea7\u63d0\u793a\u5de5\u7a0b\u3002\u5404\u79cd\u5f62\u5f0f\u7684 CoT \u901a\u5e38\u90fd\u662f\u5f3a\u8feb\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u63a8\u7406\u3002<\/section>\n
<\/section>\n
2024\u00a0\u5e74 9 \u6708\uff0cOpenAI \u53d1\u5e03\u4e86\u5176\u6a21\u578b o1 \u7684\u9884\u89c8\u7248\u540e\uff0c\u6211\u4eec\u770b\u5230\u56f4\u7ed5 CoT \u7684\u7092\u4f5c\u6108\u6f14\u6108\u70c8\u3002<\/section>\n
<\/section>\n
\u9664\u4e86 OpenAI\uff0c\u6ca1\u6709\u4eba\u5b8c\u5168\u77e5\u9053 o1 \u662f\u5982\u4f55\u5de5\u4f5c\u7684\uff0c\u5b83\u662f\u5426\u662f\u4e00\u4e2a\u7ec4\u5408\u7cfb\u7edf\uff0c\u7528\u4ec0\u4e48\u6837\u7684\u6570\u636e\u8fdb\u884c\u4e86\u5fae\u8c03\uff0c\u662f\u5426\u4f7f\u7528\u4e86\u5f3a\u5316\u5b66\u4e60\uff0c\u6216\u8005\u662f\u5426\u6709\u51e0\u4e2a\u6a21\u578b\u5728\u4e00\u8d77\u5de5\u4f5c\u3002<\/section>\n
<\/section>\n
\u4e5f\u8bb8\u4e00\u4e2a\u6a21\u578b\u8d1f\u8d23\u8ba1\u5212\uff0c\u53e6\u4e00\u4e2a\u6a21\u578b\u8d1f\u8d23\u601d\u8003\uff0c\u7b2c\u4e09\u4e2a\u6a21\u578b\u8d1f\u8d23\u8bc4\u5206\u3002\u4f46\u6211\u4eec\u77e5\u9053\uff0c\u5b83\u4eec\u90fd\u91c7\u7528\u4e86\u67d0\u79cd\u9010\u6b65\u63a8\u7406\u7684\u65b9\u5f0f\u3002<\/section>\n
<\/section>\n
\u5173\u4e8e\u8fd9\u4e00\u70b9\uff0c\u5df2\u7ecf\u6709\u5f88\u591a\u516c\u5f00\u7684\u7814\u7a76\u3002\u8fd9\u7bc7\u6587\u7ae0\u5c06\u4ecb\u7ecd\u73b0\u6709\u7684\u7814\u7a76\u6210\u679c\uff0c\u8ba9\u4f60\u77e5\u9053\u81ea\u5df1\u53ef\u4ee5\u4f7f\u7528\u4ec0\u4e48\u3002\u6211\u4e5f\u4f1a\u5bf9\u4e0d\u540c\u7684\u6280\u672f\u8fdb\u884c\u6d4b\u8bd5\uff0c\u770b\u770b\u6211\u4eec\u80fd\u5426\u5b9e\u73b0\u771f\u6b63\u7684\u6539\u8fdb\u3002<\/section>\n
<\/section>\n
\u7814\u7a76\u8005\u4eec\u5728\u8fc7\u53bb\u4e24\u5e74\u4e2d\u53d1\u8868\u4e86\u5f88\u591a\u8bba\u6587\u3002\u4f60\u53ef\u4ee5\u5728\u4e0b\u56fe\u4e2d\u770b\u5230\u4ed6\u4eec\u6240\u8c08\u5230\u7684\u63a8\u7406\u6280\u672f\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u8fc7\u53bb\u4e24\u5e74\u8ba8\u8bba\u8f83\u591a\u7684 CoT \u6280\u672f\u3002<\/sup><\/em><\/section>\n
<\/section>\n
\u5927\u90e8\u5206\u5de5\u4f5c\u76f4\u63a5\u6765\u81ea DeepMind \u6216\u666e\u6797\u65af\u987f\u5927\u5b66\u3002\u4e3a\u4ed6\u4eec\u7684\u5f00\u6e90\u5de5\u4f5c\u70b9\u8d5e\u3002<\/section>\n
<\/section>\n
CoT \u8fd9\u4e2a\u8bcd\u662f DeepMind \u5728 2022 \u5e74\u63d0\u51fa\u7684\uff0c\u53ea\u5728\u63d0\u793a\u4e2d\u4f7f\u7528\u3002\u6700\u65b0\u7684\u8bba\u6587\u63a2\u7d22\u4e86\u7ed3\u5408\u8499\u7279\u5361\u6d1b\u641c\u7d22\uff08Monte Carlo Search\uff09\u548c\u65e0\u9700\u63d0\u793a\u7684 CoT \u7684\u300c\u601d\u7ef4\u6811\u300d\uff08ToT\uff09\u3002<\/section>\n
<\/section>\n
\u63a5\u4e0b\u6765\u5c06\u4ecb\u7ecd\u7b80\u5355\u7684\u601d\u7ef4\u94fe (CoT)\u3001CoT \u94fe\u3001\u8d2a\u5a6a\u89e3\u7801\u3001CoT-SC\u3001\u89e3\u7801 CoT \u4ee5\u53ca\u7ed3\u5408\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\u7684\u300c\u601d\u7ef4\u6811\u300d\u3002<\/section>\n
<\/section>\n
LLM \u7684\u57fa\u7ebf\u5206\u6570<\/strong><\/section>\n
<\/section>\n
\u8981\u4e86\u89e3\u5982\u4f55\u6539\u8fdb LLM \u7684\u7ed3\u679c\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u5efa\u7acb\u67d0\u79cd\u57fa\u7ebf\u5206\u6570\u3002<\/section>\n
<\/section>\n
\u5728\u5f15\u5165\u6a21\u578b\u65f6\uff0c\u901a\u5e38\u4f1a\u9644\u5e26\u8bc4\u4f30\u6307\u6807\u3002\u76ee\u524d\u6709\u51e0\u79cd\u6d41\u884c\u7684\u8bc4\u4f30\u6307\u6807\uff0c\u5982 MMLU\uff08\u8bed\u8a00\u7406\u89e3\uff09\u3001BigBench\uff08\u63a8\u7406\uff09\u3001HellaSwag\uff08\u5e38\u8bc6\u63a8\u7406\uff09\u7b49\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u6709\u8da3\u7684\u6570\u636e\u96c6\u3002<\/sup><\/em><\/section>\n
<\/section>\n
\u4e0d\u8fc7\uff0c\u5176\u4e2d\u4e00\u4e9b\u6570\u636e\u96c6\u5df2\u7ecf\u8fc7\u65f6\uff0c\u53ef\u80fd\u53d7\u5230\u4e86\u4e00\u4e9b\u6c61\u67d3\u3002<\/section>\n
<\/section>\n
Hugging Face \u5728 12 \u6708\u4efd\u63a8\u51fa\u4e86\u65b0\u7684 LLM \u6392\u884c\u699c\uff0c\u57fa\u4e8e\u8f83\u65b0\u7684\u6570\u636e\u96c6\u8fdb\u884c\u8bc4\u4f30\u3002\u4f60\u53ef\u4ee5\u6e05\u695a\u5730\u770b\u5230\uff0c\u5927\u591a\u6570\u6a21\u578b\u7684\u5f97\u5206\u90fd\u6bd4\u5b83\u4eec\u5728\u539f\u59cb\u6570\u636e\u96c6\u4e0a\u7684\u5f97\u5206\u4f4e\u5f97\u591a\u3002<\/section>\n
<\/section>\n
\u8fd9\u91cc\u503c\u5f97\u505a\u4e00\u4e9b\u7814\u7a76\uff0c\u4ee5\u4e86\u89e3\u5728\u6a21\u578b\u8bc4\u4f30\u65b9\u9762\u5e94\u8be5\u5982\u4f55\u601d\u8003\uff0c\u4ee5\u53ca\u4f60\u548c\u4f60\u7684\u7ec4\u7ec7\u5e94\u8be5\u6839\u636e\u4ec0\u4e48\u8fdb\u884c\u8bc4\u4f30\u3002\u4f7f\u7528\u5185\u90e8\u79c1\u6709\u6570\u636e\u96c6\u8fdb\u884c\u6d4b\u8bd5\u5e76\u4e0d\u662f\u6700\u7cdf\u7cd5\u7684\u60f3\u6cd5\u3002<\/section>\n
<\/section>\n
\u6211\u4ece\u4e0d\u540c\u7684\u6570\u636e\u96c6\u4e2d\u62bd\u53d6\u4e86\u5927\u7ea6 350 \u4e2a\u95ee\u9898\uff0c\u518d\u52a0\u4e0a\u6211\u5728\u7f51\u4e0a\u627e\u5230\u7684\u4e00\u4e9b\u6d41\u884c\u95ee\u9898\uff0c\u7136\u540e\u5bf9 11 \u79cd\u4e0d\u540c\u7684\u6a21\u578b\u8fdb\u884c\u4e86\u8bc4\u4f30\u3002<\/section>\n
<\/section>\n
\u6211\u9700\u8981\u77e5\u9053\u8fd9\u4e9b\u6570\u636e\u96c6\u4ee5\u53ca LLM \u751f\u6210\u7684\u7b54\u6848\u662f\u4ec0\u4e48\u6837\u7684\u3002<\/section>\n
<\/section>\n
\u56e0\u6b64\uff0c\u6211\u6784\u5efa\u4e86\u81ea\u5df1\u7684\u811a\u672c\u6765\u904d\u5386\u95ee\u9898\uff0c\u7136\u540e\u5bf9\u6bcf\u4e2a\u95ee\u9898\u7528 0 \u6216 1 \u6765\u8bc4\u4f30 LLM\u3002<\/section>\n
<\/section>\n
\u4e0b\u9762\u662f\u6211\u53d1\u73b0\u7684\u7ed3\u679c\u3002<\/section>\n
<\/a><\/section>\n
\u4f60\u53ef\u4ee5\u5728\u8fd9\u4e2a\u8c37\u6b4c\u8868\u683c\u4e2d\u627e\u5230\u6574\u4e2a\u6570\u636e\u96c6\u548c\u7ed3\u679c\uff1ahttps:\/\/docs.google.com\/spreadsheets\/d\/1awPb5klHx-v1oafgZrV_-hdFHnibxla1BGHZ8vCY2CE\/edit<\/sup><\/em><\/section>\n
<\/section>\n
\u6211\u4eec\u53ef\u4ee5\u4ece\u91cc\u9762\u8bfb\u51fa\u6765\u7684\u4fe1\u606f\u5e76\u4e0d\u591a\u3002<\/section>\n
<\/section>\n
\u6211\u4f7f\u7528\u4e86\u6765\u81ea Big Bench\u3001MMLU \u548c Putnam \u7684\u95ee\u9898\uff0c\u4ee5\u53ca\u8bf8\u5982\u300cHow many r\u2019s are in Strawberry\u300d\u4e4b\u7c7b\u7684\u6d41\u884c\u95ee\u9898\uff0c\u4f46\u6211\u4eec\u65e0\u6cd5\u77e5\u9053\u5b83\u4eec\u662f\u5426\u53d7\u5230\u4e86\u8fd9\u4e9b\u95ee\u9898\u7684\u6c61\u67d3\u3002\u6b64\u5916\uff0c\u8fd9\u4e5f\u662f\u4e00\u4e2a\u76f8\u5f53\u5c0f\u7684\u6570\u636e\u96c6\u3002<\/section>\n
<\/section>\n
\u4e0d\u8fc7\uff0c\u6211\u4eec\u53ef\u4ee5\u6e05\u695a\u5730\u770b\u5230\uff0c\u66f4\u5927\u7684\u6a21\u578b\u8868\u73b0\u66f4\u597d\u3002<\/section>\n
<\/section>\n
\u6211\u4eec\u611f\u5174\u8da3\u7684\u662f\uff0c\u80fd\u5426\u901a\u8fc7\u8ba9\u6a21\u578b\u5728\u56de\u7b54\u4e4b\u524d\u8fdb\u884c\u63a8\u7406\u548c\u601d\u8003\uff0c\u6765\u63d0\u9ad8\u8fd9\u4e9b\u5206\u6570\u3002<\/section>\n
<\/section>\n
\u601d\u7ef4\u94fe\uff08CoT\uff09<\/strong><\/section>\n
<\/section>\n
\u601d\u7ef4\u94fe\uff08CoT\uff09\u63d0\u793a\u662f\u7531 DeepMind \u5728 2022 \u5e74\u53d1\u8868\u7684\u8bba\u6587\u300aChain-of-Thought Prompting Elicits Reasoning in Large Language Models\u300b\u4e2d\u63d0\u51fa\u7684\u3002\u56e0\u6b64\uff0cCoT \u7684\u6982\u5ff5\u5df2\u7ecf\u5b58\u5728\u4e86\u5f88\u957f\u65f6\u95f4\u3002<\/section>\n
<\/section>\n
\u4e0d\u8fc7\uff0c\u8fd9\u7b2c\u4e00\u7bc7\u8bba\u6587\u7814\u7a76\u7684\u662f\u5982\u4f55\u901a\u8fc7\u4f7f\u7528\u63d0\u793a\u7b56\u7565\u6fc0\u6d3b\u6a21\u578b\u56fa\u6709\u7684\u63a8\u7406\u80fd\u529b\uff0c\u4ece\u800c\u8feb\u4f7f\u6a21\u578b\u5bf9\u95ee\u9898\u8fdb\u884c\u63a8\u7406\u3002<\/section>\n
<\/section>\n
\u5f53\u65f6\uff0c\u4eba\u4eec\u53ea\u662f\u4ee5\u6b63\u786e\u7684\u65b9\u5f0f\u8fdb\u884c\u63d0\u793a\uff0c\u8981\u6c42\u6a21\u578b\u300c\u4e00\u6b65\u6b65\u5730\u601d\u8003<\/strong>\u300d\uff0c\u8981\u4e48\u901a\u8fc7\u96f6\u6837\u672c\uff08\u4e0d\u63d0\u4f9b\u4f8b\u5b50\uff09\uff0c\u8981\u4e48\u901a\u8fc7\u5c11\u6837\u672c\uff08\u63d0\u4f9b\u51e0\u4e2a\u4f8b\u5b50\uff09\u7684\u65b9\u6cd5\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u96f6\u6837\u672c vs \u5c11\u6837\u672c\u3002<\/sup><\/em><\/section>\n
<\/section>\n
\u5bf9\u4e8e Claude\u3001ChatGPT \u6216\u5176\u4ed6\u5404\u79cd\u6a21\u578b\uff0c\u53ea\u9700\u5728\u63d0\u793a\u8bed\u672b\u5c3e\u6dfb\u52a0\u300c\u8ba9\u6211\u4eec\u4e00\u6b65\u6b65\u601d\u8003\u300d\u5373\u53ef\u3002\u5982\u679c\u4f60\u60f3\u5c1d\u8bd5\u5c11\u6837\u672c\u5b66\u4e60\uff0c\u4f60\u53ef\u4ee5\u5728\u63d0\u793a\u4e2d\u7ed9\u5b83\u4e00\u4e9b\u4f8b\u5b50\u3002<\/section>\n
<\/section>\n
DeepMind \u62a5\u544a\u8bf4\uff0c\u4ed6\u4eec\u53ef\u4ee5\u8bc1\u5b9e\uff0c\u901a\u8fc7\u6b63\u786e\u7684\u63d0\u793a\uff0c\u4f7f\u7528 CoT \u6280\u672f\u6709\u4e86\u663e\u8457\u63d0\u9ad8\u3002<\/section>\n
<\/section>\n
\u4ece\u90a3\u65f6\u8d77\uff0c\u8bb8\u591a\u8bba\u6587\u90fd\u5728\u8fd9\u4e9b\u6280\u672f\u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u4e86\u6df1\u5165\u7814\u7a76\uff0c\u5e76\u5f00\u8f9f\u4e86\u8d8a\u6765\u8d8a\u5148\u8fdb\u7684\u9053\u8def\u3002<\/section>\n
<\/section>\n
\u6784\u5efa\u63a8\u7406\u94fe<\/strong><\/section>\n
<\/section>\n
\u5728\u63d0\u793a\u8bcd\u5de5\u7a0b\u793e\u533a\u4e2d\uff0c\u6709\u8bb8\u591a\u4eba\u5c1d\u8bd5\u4f7f\u7528 CoT \u98ce\u683c\u7684\u6280\u672f\u3002\u6211\u5728\u8fd9\u91cc\u6536\u96c6\u4e86\u5927\u90e8\u5206\u6211\u627e\u5230\u7684\u5e93\uff0c\u4ee5\u4fbf\u8bfb\u8005\u67e5\u627e\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 CoT \u98ce\u683c\u6280\u672f\u7684\u4e00\u4e9b\u5b9e\u73b0\uff0c\u8be6\u89c1 https:\/\/github.com\/ilsilfverskiold\/Awesome-LLM-Resources-List<\/sup><\/em><\/section>\n
<\/section>\n
Benjamin Klieger \u4f7f\u7528 Groq \u548c Llama 3.1 70b \u6784\u5efa\u4e86\u4e00\u4e2a\u63d0\u793a\u8bcd\u98ce\u683c\u7684\u5e94\u7528\uff0c\u901a\u8fc7\u8fdb\u4e00\u6b65\u5206\u89e3\u601d\u8003\u8fc7\u7a0b\u6765\u5f15\u53d1\u601d\u7ef4\u94fe\u3002\u53ef\u8bbf\u95ee\u8fd9\u91cc\uff1ahttps:\/\/github.com\/bklieger-groq\/g1<\/section>\n
<\/section>\n
\u5176\u60f3\u6cd5\u662f\u8981\u6c42 LLM \u5c06\u5176\u601d\u7ef4\u5206\u89e3\u4e3a\u94fe\uff0c\u5e76\u7ee7\u7eed\u601d\u8003\uff0c\u76f4\u5230\u5bf9\u7b54\u6848\u6709\u4fe1\u5fc3\u4e3a\u6b62\u3002<\/section>\n
<\/section>\n
\u7136\u540e\uff0c\u7cfb\u7edf\u5c06\u7ee7\u7eed\u4e3a\u8be5\u94fe\u7684\u6bcf\u4e2a\u90e8\u5206\u751f\u6210 LLM \u8c03\u7528\uff0c\u800c\u4e0d\u662f\u5c06\u6574\u4e2a\u601d\u8003\u8fc7\u7a0b\u653e\u5728\u4e00\u4e2a\u54cd\u5e94\u4e2d\u3002<\/section>\n
<\/section>\n
\u4e0b\u9762\u8fd9\u4e2a\u4f8b\u5b50\u5c55\u793a\u4e86\u5728 Grok-Beta \u4e0a\u5e94\u7528\u8be5\u6280\u672f\u7684\u793a\u4f8b\uff0c\u95ee\u9898\u4e3a\u300cHow many R\u2019s are in Strawberry?\u300d<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u5728 Grok \u4e0a\u4f7f\u7528 CoT \u94fe\u6765\u56de\u7b54 How many R\u2019s are in Strawberry?<\/sup><\/em><\/section>\n
<\/section>\n
\u6bcf\u4e2a\u90e8\u5206\u90fd\u7531\u8be5\u6a21\u578b\u672c\u8eab\u8bbe\u7f6e\uff0c\u4e3a\u5176\u8d4b\u4e88\u6807\u9898\uff0c\u5e76\u51b3\u5b9a\u662f\u5426\u9700\u8981\u7ee7\u7eed\u4f7f\u7528\u53e6\u4e00\u4e2a\u300c\u601d\u7ef4\u300d\uff0c\u8fd8\u662f\u662f\u5426\u5df2\u7ecf\u5f97\u51fa\u6700\u7ec8\u7b54\u6848\u3002<\/section>\n
<\/section>\n
\u8fd9\u4ecd\u7136\u662f\u4e00\u79cd CoT \u98ce\u683c\u7684\u6280\u672f\uff0c\u56e0\u4e3a\u5b83\u662f\u7ebf\u6027\u7684\uff0c\u4f46\u5b83\u6bd4\u7b80\u5355\u5730\u8981\u6c42\u6a21\u578b\u300c\u4e00\u6b65\u6b65\u601d\u8003\u300d\u7a0d\u5fae\u9ad8\u7ea7\u4e00\u4e9b\u3002<\/section>\n
<\/section>\n
\u6211\u4f7f\u7528\u4e86\u4ed6\u7684\u90e8\u5206\u4ee3\u7801\u6784\u5efa\u4e86\u4e00\u4e2a\u811a\u672c\uff0c\u5faa\u73af\u904d\u5386\u6211\u6d4b\u8bd5\u7684\u4e00\u4e9b\u9488\u5bf9 LLM \u7684\u57fa\u672c\u95ee\u9898\uff0c\u4ee5\u67e5\u770b\u4f7f\u7528\u8fd9\u6837\u7684\u7cfb\u7edf\u5b9e\u9645\u4e0a\u4f1a\u5e26\u6765\u591a\u5c11\u6539\u8fdb\u3002\u6211\u6539\u7f16\u4e86 Claude \u548c Grok \u7684\u811a\u672c\uff0c\u4ee5\u8bc4\u4f30\u8fd9\u79cd\u7b56\u7565\u5bf9\u5b83\u4eec\u7684\u5f71\u54cd\u3002\u4e0b\u9762\u662f\u63d0\u5347\u60c5\u51b5\uff1a<\/section>\n
<\/a><\/section>\n
\u5bf9\u4e8e\u524d\u4e09\u4e2a\u7c7b\u522b\uff0cLlama 3.1 70B \u7684\u8fdb\u6b65\u6700\u5927\u3002Grok \u5728\u70ed\u95e8\u95ee\u9898\u4e0a\u8868\u73b0\u8f83\u5dee\uff08Haiku \u4e5f\u662f\u5982\u6b64\uff09\u3002<\/section>\n
<\/section>\n
Putnam \u6570\u636e\u96c6\u662f\u9ad8\u7b49\u6570\u5b66\uff0c\u5f88\u5c11\u6709 LLM \u80fd\u5728\u5176\u4e0a\u8868\u73b0\u51fa\u8272\uff0c\u6240\u4ee5\u5f53 Claude Sonnet 3.5 \u51ed\u501f\u8fd9\u4e9b CoT \u94fe\u5f97\u5230\u4e86 68.75%\uff0c\u800c o1-preview \u53ea\u6709 63% \u65f6\uff0c\u6211\u6df1\u611f\u60ca\u8bb6\u3002<\/section>\n
<\/section>\n
\u603b\u7684\u6765\u8bf4\uff0cSonnet \u5728\u4f7f\u7528 CoT \u540e\uff0c\u9ad8\u7b49\u6570\u5b66\u6210\u7ee9\u63d0\u9ad8\u4e86 81%\u3002<\/section>\n
<\/section>\n
\u8bf7\u8bb0\u4f4f\uff0c\u6211\u5728\u8fd9\u91cc\u4f7f\u7528\u4e86\u4e00\u4e2a\u975e\u5e38\u5c0f\u7684\u6570\u636e\u96c6\uff0c\u8fd9\u53ea\u662f\u4e3a\u4e86\u4e86\u89e3\u5b83\u4eec\u5728\u54ea\u4e9b\u65b9\u9762\u8868\u73b0\u597d\u4ee5\u53ca\u6211\u4eec\u662f\u5426\u53ef\u4ee5\u63d0\u9ad8\u5206\u6570\u3002\u9700\u8981\u5728\u66f4\u5927\u89c4\u6a21\u7684\u6570\u636e\u4e0a\u6d4b\u8bd5\u540e\u624d\u80fd\u83b7\u5f97\u66f4\u5177\u4f53\u7684\u4fe1\u606f\u3002<\/section>\n
<\/section>\n
\u4e0d\u8fc7\uff0c\u6211\u8fd8\u89c2\u5bdf\u5230\uff0c\u5982\u679c\u8f83\u5c0f\u7684\u6a21\u578b\u5f00\u59cb\u5bf9\u7b80\u5355\u95ee\u9898\u8fdb\u884c\u8fc7\u5ea6\u5206\u6790\uff0c\u4f1a\u4ea7\u751f\u66f4\u7cdf\u7684\u7ed3\u679c\u3002Grok-Beta \u548c Haiku \u5728\u5e38\u89c1\u7684\u300c\u8f83\u7b80\u5355\u300d\u95ee\u9898\u4e0a\u7684\u8868\u73b0\u5c31\u4f53\u73b0\u4e86\u8fd9\u4e00\u70b9\u3002<\/section>\n
<\/section>\n
\u66f4\u7b80\u5355\u7684\u975e\u6570\u5b66\u95ee\u9898\u53ef\u80fd\u65e0\u6cd5\u4ece CoT \u83b7\u5f97\u540c\u6837\u7684\u597d\u5904\u3002<\/section>\n
<\/section>\n
\u6211\u4eec\u8fd8\u5fc5\u987b\u8bb0\u4f4f\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba9\u6a21\u578b\u5728\u81ea\u5df1\u7684\u80fd\u529b\u8303\u56f4\u5185\u8868\u73b0\u66f4\u597d\uff0c\u4f46\u5f88\u5c11\u80fd\u8d85\u8d8a\u5b83\u3002\u5982\u679c\u5b83\u4e0d\u77e5\u9053\u7b54\u6848\uff0c\u5b83\u5c31\u662f\u65e0\u6cd5\u77e5\u9053\u3002<\/section>\n
<\/section>\n
\u7528\u4e8e\u63a8\u7406\u7684\u5fae\u8c03<\/strong><\/section>\n
<\/section>\n
\u8fd9\u91cc\u9700\u8981\u63d0\u4e00\u4e0b\u5fae\u8c03\u3002AI \u9886\u57df\u6709\u4e00\u4e2a\u975e\u5e38\u6709\u8da3\u7684\u7814\u7a76\u65b9\u5411\uff1a\u5728 CoT \u6570\u636e\u96c6\u4e0a\u5fae\u8c03\u8f83\u5c0f\u7684\u6a21\u578b\uff0c\u4ee5\u5c06\u5176\u51c6\u786e\u5ea6\u63d0\u9ad8\u5230\u6bd4\u5176\u5927 1-2 \u500d\u7684\u5927\u6a21\u578b\u7684\u6c34\u5e73\u3002<\/section>\n
<\/section>\n
\u6211\u5df2\u7ecf\u627e\u5230\u4e86\u591a\u4e2a\u8d44\u6e90\uff0c\u4f46\u4e0d\u5e78\u7684\u662f\uff0c\u6211\u4eec\u6ca1\u80fd\u627e\u5230\u76f8\u8f83\u4e8e\u57fa\u7840\u6a21\u578b\u6709\u663e\u8457\u6539\u8fdb\u7684\u6848\u4f8b\u3002\u4e0b\u9762\u5217\u51fa\u4e86\u6211\u627e\u5230\u7684\u5f00\u6e90\u6a21\u578b\uff1a<\/section>\n
<\/a><\/section>\n
\u4e0b\u9762\u662f\u5f00\u6e90\u7684 CoT \u6570\u636e\u96c6\u3002<\/section>\n
<\/a><\/section>\n
\u8fd9\u5e76\u4e0d\u662f\u8bf4\u5fae\u8c03\u5bf9 CoT \u6ca1\u7528\uff0c\u53ea\u662f\u9700\u8981\u6784\u5efa\u66f4\u597d\u7684\u6a21\u578b\u5e76\u8fdb\u884c\u5145\u5206\u7684\u8bb0\u5f55\u3002<\/section>\n
<\/section>\n
\u5982\u679c\u4f60\u559c\u6b22\u81ea\u5df1\u5c1d\u8bd5\u5fae\u8c03\uff0c\u8bf7\u67e5\u770b\u8fd9\u4e9b\u8d44\u6e90\u3002\u6211\u76f8\u4fe1\u8fd8\u6709\u66f4\u591a\u8d44\u6e90\u3002<\/section>\n
<\/section>\n
\u5176\u5b83\u751f\u6210\u6280\u672f<\/strong><\/section>\n
<\/section>\n
\u6211\u4eec\u8ba8\u8bba\u7684\u662f\u601d\u7ef4\u94fe\u6280\u672f\uff0c\u4f46\u8fd8\u6709\u5176\u4ed6\u65b9\u6cd5\u53ef\u4ee5\u5728\u6ca1\u6709\u63d0\u793a\u7684\u60c5\u51b5\u4e0b\u4f18\u5316\u8bed\u8a00\u6a21\u578b\u7684\u8f93\u51fa\u51c6\u786e\u6027\u3002<\/section>\n
<\/section>\n
\u8fd9\u6d89\u53ca\u5230\u6211\u4eec\u5728\u8c03\u7528 LLM \u65f6\u5927\u591a\u5ffd\u7565\u7684\u90a3\u4e9b\u91c7\u6837\u5668\u8bbe\u7f6e \u2014\u2014 \u5982 temperature\u3001top_p \u548c do_sample \u7b49\u53c2\u6570 \u2014\u2014 \u5b83\u4eec\u53ef\u4ee5\u5728\u63a7\u5236\u8f93\u51fa\u884c\u4e3a\u65b9\u9762\u53d1\u6325\u4f5c\u7528\u3002<\/section>\n
<\/section>\n
\u73b0\u5728\uff0c\u6211\u4eec\u5e76\u4e0d\u603b\u662f\u53ef\u4ee5\u8bbf\u95ee\u5546\u4e1a API \u7684\u6240\u6709\u8fd9\u4e9b\u8bbe\u7f6e\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u8bbf\u95ee temperature\u3002\u4ece\u6280\u672f\u672f\u8bed\u4e0a\u8bb2\uff0ctemperature \u7684\u610f\u601d\u662f\uff1a\u5f53\u6211\u4eec\u5c06\u5176\u8bbe\u7f6e\u4e3a\u9ad8\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u7f29\u653e logit\uff0c\u4ece\u800c\u589e\u52a0\u4f4e\u6982\u7387 token \u88ab\u9009\u4e2d\u7684\u673a\u4f1a\u3002\u5982\u4e0b\u6240\u793a\uff1a<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 temperature \u5982\u4f55\u4f7f logit \u4e0a\u5347\u548c\u4e0b\u964d\uff1f<\/sup><\/em><\/section>\n
<\/section>\n
\u5047\u8bbe token\u300cmat\u300d\u5728\u5f00\u59cb\u65f6\u5177\u6709\u6700\u9ad8\u7684\u521d\u59cb logit\uff0c\u4f46\u968f\u7740\u6e29\u5ea6\u7684\u5347\u9ad8\uff0c\u6211\u4eec\u53d1\u73b0\u5b83\u5f00\u59cb\u4e0b\u964d\uff0c\u4ece\u800c\u964d\u4f4e\u4e86\u6982\u7387\u3002\u5bf9\u4e8e\u5177\u6709\u8f83\u4f4e\u6570\u5b57\u7684\u521d\u59cb logit\uff0c\u60c5\u51b5\u6b63\u597d\u76f8\u53cd\u3002<\/section>\n
<\/section>\n
\u8fd9\u662f\u4ec0\u4e48\u610f\u601d\uff1f\u8fd9\u610f\u5473\u7740\u5982\u679c\u6e29\u5ea6\u9ad8\uff0c\u6a21\u578b\u66f4\u6709\u53ef\u80fd\u9009\u62e9\u4e00\u4e2a\u611f\u89c9\u4e0d\u592a\u300c\u5b89\u5168\u300d\u7684\u8bcd\u3002<\/section>\n
<\/section>\n
\u5927\u591a\u6570\u4eba\u79f0\u4e4b\u4e3a\u968f\u673a\u6027<\/strong>\u6216\u521b\u9020\u529b<\/strong>\u3002<\/section>\n
<\/section>\n
\u5bf9\u4e8e\u5e76\u975e\u6240\u6709\u5546\u4e1a API \u90fd\u53ef\u4ee5\u8bbf\u95ee\u7684 top_p\uff0c\u4f60\u53ef\u4ee5\u9650\u5236\u6216\u6839\u636e\u4f60\u8bbe\u7f6e\u7684\u6570\u5b57\u6269\u5c55 token \u6c60\u3002\u4f4e\u5206\u5c06\u9650\u5236\u6c60\u4e2d\u5177\u6709\u9ad8\u6982\u7387\u5206\u6570\u7684 token\uff0c\u53cd\u4e4b\u4ea6\u7136 \u2014\u2014 \u4f4e\u5206\u610f\u5473\u7740\u53ea\u6709\u9ad8\u6982\u7387 token \u624d\u4f1a\u51fa\u73b0\u5728\u5019\u9009\u6c60\u4e2d\u3002<\/section>\n
<\/section>\n
\u9ad8 top_p \u4e0e\u9ad8\u6e29\u5ea6\u76f8\u7ed3\u5408\u5c06\u4ea7\u751f\u66f4\u5177\u521b\u65b0\u6027\u548c\u521b\u9020\u6027\u7684\u8f93\u51fa\uff0c\u56e0\u4e3a\u66f4\u591a\u7684 token \u5c06\u6210\u4e3a\u5019\u9009\u8005\u3002<\/section>\n
<\/section>\n
do_sample \u53c2\u6570\u51b3\u5b9a\u6a21\u578b\u662f\u5426\u4f7f\u7528\u91c7\u6837\u6765\u751f\u6210\u4e0b\u4e00\u4e2a token\u3002\u8bbe\u7f6e\u4e3a True \u65f6\uff0c\u6a21\u578b\u4f1a\u4ece\u5019\u9009\u6c60\u4e2d\u91c7\u6837\u5e76\u5177\u6709\u66f4\u5927\u7684\u81ea\u7531\u5ea6\u3002\u8bbe\u7f6e\u4e3a False \u65f6\uff0c\u5b83\u4ec5\u9009\u62e9\u6982\u7387\u6700\u9ad8\u7684 token\uff08\u5e76\u5b8c\u5168\u5ffd\u7565 temperature \u6216 top_p\uff09\u3002<\/section>\n
<\/section>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u6b64\u8bbe\u7f6e\u5f3a\u5236\u6a21\u578b\u4ea7\u751f\u66f4\u786e\u5b9a\u7684\u8f93\u51fa\uff0c\u5373\u6bcf\u4e2a\u9636\u6bb5\u6982\u7387\u6700\u9ad8\u7684 token\u3002<\/section>\n
<\/section>\n
\u8fd9\u88ab\u79f0\u4e3a\u8d2a\u5a6a\u89e3\u7801\uff08Greedy Decoding\uff09<\/strong>\u3002<\/section>\n
<\/section>\n
\u8fd9\u662f\u4e00\u79cd\u7b56\u7565\uff1a\u6a21\u578b\u5728\u6bcf\u4e00\u6b65\u90fd\u9009\u62e9\u6982\u7387\u6700\u9ad8\u7684 token\uff0c\u8fd9\u53ef\u80fd\u4f1a\u4ea7\u751f\u66f4\u51c6\u786e\u7684\u7b54\u6848\uff08\u5982\u679c\u5b83\u5177\u6709\u6240\u9700\u7684\u56fa\u6709\u77e5\u8bc6\uff09\u3002<\/section>\n
<\/section>\n
\u6211\u4e5f\u786e\u5b9e\u4f7f\u7528 do_sample \u5c06\u8d2a\u5a6a\u89e3\u7801\u5e94\u7528\u4e8e\u6a21\u578b Llama 3 8B\uff0c\u4ee5\u68c0\u9a8c\u80fd\u5426\u5728\u57fa\u7840\u95ee\u9898\u4e0a\u83b7\u5f97\u63d0\u5347\u3002\u7ed3\u679c\u5982\u4e0b\uff1a<\/section>\n
<\/a><\/section>\n
\u53ef\u4ee5\u770b\u5230\uff0c\u5728 MMLU \u548c Big-Bench \u4e0a\u6709\u6240\u63d0\u5347\uff0c\u4f46\u5728\u9ad8\u7b49\u6570\u5b66\u4e0a\u8fdb\u6b65\u5f88\u5c0f\u3002<\/section>\n
<\/section>\n
\u73b0\u5728\uff0c\u5546\u4e1a API \u591a\u534a\u4e0d\u63d0\u4f9b do_sample\uff0c\u56e0\u6b64\u8981\u5728\u65e0\u6cd5\u8bbf\u95ee\u6a21\u578b\u7684\u60c5\u51b5\u4e0b\u5e94\u7528\u7c7b\u4f3c\u7684\u4e1c\u897f\uff0c\u4f60\u53ef\u4ee5\u5c06\u6e29\u5ea6\u8bbe\u7f6e\u4e3a 0 \u4ee5\u5c1d\u8bd5\u6a21\u4eff\u8fd9\u79cd\u884c\u4e3a\uff0c\u4f46\u8fd9\u5e76\u4e0d\u80fd\u4fdd\u8bc1\u3002<\/section>\n
<\/section>\n
\u6240\u4ee5\uff0c\u4f60\u73b0\u5728\u53ef\u80fd\u6709\u4e00\u4e2a\u95ee\u9898\uff1a\u5982\u679c\u6211\u4eec\u786e\u5b9e\u770b\u5230\u4e86\u5c0f\u7684\u6539\u8fdb\uff0c\u4e3a\u4ec0\u4e48\u4e0d\u603b\u662f\u4f7f\u7528\u8d2a\u5a6a\u89e3\u7801\uff1f<\/section>\n
<\/section>\n
\u5982\u679c\u6211\u4eec\u5ffd\u7565\u8f93\u51fa\u4e2d\u5bf9\u521b\u9020\u529b\u7684\u9700\u6c42\uff0c\u4f60\u8fd8\u4f1a\u53d1\u73b0\u80fd\u529b\u8f83\u5dee\u7684 LLM \u53ef\u80fd\u4f1a\u9677\u5165\u91cd\u590d\u7684\u5faa\u73af\u4e2d\uff0c\u4f8b\u5982\u300cThe color is blue blue blue blue\u300d\uff0c\u5176\u4e2d\u300cblue\u300d\u4f3c\u4e4e\u662f\u6700\u9ad8\u6982\u7387\u7684 token\uff0c\u56e0\u6b64\u4f1a\u91cd\u590d\u3002<\/section>\n
<\/section>\n
\u9ad8\u7ea7 CoT<\/strong><\/section>\n
<\/section>\n
\u4e4b\u524d\u8c08\u5230\u90fd\u662f\u7ebf\u6027\u6280\u672f\uff0c\u5373\u6a21\u578b\u5728\u4e00\u4e2a\u7ebf\u7a0b\u6216\u94fe\u4e2d\u4ea7\u751f\u8f93\u51fa\u3002<\/section>\n
<\/section>\n
\u4f46\u5728\u7b2c\u4e00\u7bc7 CoT \u8bba\u6587\u53d1\u8868\u540e\u4e0d\u4e45\uff0cDeepMind \u5c31\u63d0\u51fa\u4e86\u53e6\u4e00\u79cd\u66f4\u5148\u8fdb\u7684\u6280\u672f\uff0c\u79f0\u4e3a\u5177\u6709\u81ea\u6211\u4e00\u81f4\u6027\u7684\u601d\u7ef4\u94fe\uff08CoT-SC\uff09\u3002<\/section>\n
<\/section>\n
\u8be5\u6280\u672f\u4f1a\u521b\u5efa\u591a\u6761\u63a8\u7406\u8def\u5f84\uff0c\u5e76\u4f7f\u7528\u67d0\u79cd\u65b9\u6cd5\u5728\u6700\u540e\u9009\u62e9\u6700\u4e00\u81f4\u7684\u7b54\u6848\uff08\u6216\u8def\u5f84\uff09\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 CoT-SC \u6f14\u793a<\/sup><\/em><\/section>\n
<\/section>\n
\u4ed6\u4eec\u62a5\u544a\u8bf4\uff0c\u4f7f\u7528\u8fd9\u79cd\u65b9\u6cd5\u8ba9\u7b97\u672f\u63a8\u7406\u80fd\u529b\u63d0\u9ad8\u4e86 1-8%\u3002<\/section>\n
<\/section>\n
\u53e6\u4e00\u79cd\u65b9\u6cd5\u7684\u60f3\u6cd5\u4e5f\u9887\u4e3a\u7c7b\u4f3c\uff0c\u662f\u4f7f\u7528\u591a\u6761\u8def\u5f84\u4f46\u4e0d\u4f7f\u7528\u4efb\u4f55\u63d0\u793a\u3002<\/section>\n
<\/section>\n
\u8fd8\u8bb0\u5f97\u6211\u5728\u4e0a\u4e00\u8282\u4e2d\u8c08\u5230\u7684\u8d2a\u5a6a\u89e3\u7801\u5417\uff1f<\/section>\n
<\/section>\n
\u8fd9\u79cd\u65b9\u6cd5\u7c7b\u4f3c\uff0c\u53ea\u662f\u5b83\u4e0d\u4ec5\u8981\u5f3a\u5236\u9009\u62e9\u6700\u53ef\u80fd\u7684 token\uff0c\u8fd8\u8981\u67e5\u770b\u6574\u4e2a\u54cd\u5e94\u7684\u7f6e\u4fe1\u5ea6\u5206\u6570\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u8bc4\u4f30\u5185\u90e8\u7f6e\u4fe1\u5ea6\u5206\u6570<\/sup><\/em><\/section>\n
<\/section>\n
\u4e3a\u6b64\uff0c\u7cfb\u7edf\u9996\u5148\u4f1a\u542f\u52a8\u4e00\u5b9a\u6570\u91cf k \u7684\u521d\u59cb\u9876\u90e8 token\uff0c\u7136\u540e\u4ece\u6bcf\u4e2a token \u751f\u6210\u8def\u5f84\u3002\u751f\u6210\u7b54\u6848\u540e\uff0c\u5b83\u4f1a\u901a\u8fc7\u5206\u6790\u4e0d\u540c\u8def\u5f84\u4e2d\u6bcf\u4e2a token \u7684\u6982\u7387\uff08logit\uff09\u6765\u8ba1\u7b97\u7f6e\u4fe1\u5ea6\u5206\u6570\u3002<\/section>\n
<\/section>\n
\u8fd4\u56de\u7684\u7ed3\u679c\u662f\u5177\u6709\u6700\u9ad8\u6982\u7387\u7684\u7b54\u6848\uff08\u6216\u8def\u5f84\uff09\u3002<\/section>\n
<\/section>\n
\u8fd9\u79cd\u65b9\u6cd5\u79f0\u4e3a Decoding CoT\uff0c\u7531 DeepMind \u63d0\u51fa\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u601d\u60f3\u662f\u67e5\u770b\u6a21\u578b\u5bf9\u8fd4\u56de\u7b54\u6848\u7684\u5185\u90e8\u7f6e\u4fe1\u5ea6\u3002<\/section>\n
<\/section>\n
\u4f46\u662f\u5982\u679c\u5b83\u6ca1\u6709\u56de\u7b54\u95ee\u9898\u7684\u56fa\u6709\u77e5\u8bc6\u4f1a\u53d1\u751f\u4ec0\u4e48\uff1f\u4e0e CoT-SC \u4e00\u6837\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d6\u51b3\u4e8e\u6a21\u578b\u9996\u5148\u662f\u5426\u5177\u6709\u6b63\u786e\u7684\u7b54\u6848\u3002<\/section>\n
<\/section>\n
\u4e0d\u8fc7\uff0c\u8fd9\u5e76\u4e0d\u610f\u5473\u7740\u6211\u4eec\u4e0d\u5e94\u8be5\u6d4b\u8bd5\u5b83\u3002<\/section>\n
<\/section>\n
\u5bf9\u4e8e\u6240\u6709\u8fd9\u4e9b\u6280\u672f\uff0c\u90fd\u6709\u4eba\u5f00\u6e90\u4e86\u4e0d\u540c\u7684\u5b9e\u73b0\uff0c\u8fd9\u4e2a\u4e5f\u4e0d\u4f8b\u5916\u3002<\/section>\n
<\/section>\n
\u56e0\u6b64\uff0c\u6211\u5f88\u5bb9\u6613\u5c31\u5efa\u7acb\u4e86\u4e00\u4e2a\u7cfb\u7edf\u6765\u6d4b\u8bd5\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u6bd4\u8f83\u54ea\u79cd\u65b9\u6cd5\u5728\u8f83\u5c0f\u7684\u5f00\u6e90\u6a21\u578b Llama 3 8B \u4e0a\u8868\u73b0\u66f4\u597d\u3002<\/section>\n
<\/a><\/section>\n
\u611f\u8c22 Codelion \u5f00\u6e90\u4ed6\u7684\u5b9e\u73b0\uff0c\u8ba9\u6211\u53ef\u4ee5\u8f7b\u677e\u590d\u73b0\uff1ahttps:\/\/github.com\/codelion\/optillm<\/section>\n
<\/section>\n
\u4ece\u4e0a\u9762\u7684\u7ed3\u679c\u53ef\u4ee5\u770b\u5230\uff0c\u4e0e\u5176\u4ed6\u65b9\u6cd5\uff08\u4f8b\u5982 Entropy\uff09\u6216\u4ec5\u4f7f\u7528\u8d2a\u5a6a\u89e3\u7801\u6765\u5904\u7406\u6b64\u7279\u5b9a\u6a21\u578b\u76f8\u6bd4\uff0c\u4f7f\u7528 Decoding CoT \u663e\u7136\u4ea7\u751f\u4e86\u6700\u4f73\u7ed3\u679c\u3002<\/section>\n
<\/section>\n
\u66f4\u65b0\u7684\u6280\u672f<\/strong><\/section>\n
<\/section>\n
\u73b0\u5728\u7684\u7814\u7a76\u8fdb\u5c55\u5f88\u5feb\uff0c\u5f88\u96be\u5b8c\u5168\u8ddf\u8fdb\u3002\u8fd9\u91cc\u4e0d\u4f1a\u8fc7\u591a\u8bba\u8ff0\uff0c\u4f46\u6211\u786e\u5b9e\u60f3\u63d0\u4e00\u4e0b\u00a0Tree of Thoughts (ToT)<\/a>\uff0c\u7279\u522b\u662f\u4e0e\u8499\u7279\u5361\u6d1b\u641c\u7d22\u7684\u7ed3\u5408\u65f6\u3002<\/section>\n
<\/section>\n
ToT \u4e8e 2023 \u5e74\u5e95\u7531\u666e\u6797\u65af\u987f\u5927\u5b66\u548c DeepMind \u63d0\u51fa\uff0c\u4f46\u901a\u5e38\u5efa\u7acb\u5728\u4ee5\u524d\u7684\u57fa\u4e8e\u6811\u7684\u63a8\u7406\u65b9\u6cd5\u4e4b\u4e0a\u3002<\/section>\n
<\/section>\n
ToT \u4e0d\u540c\u4e8e\u5177\u6709\u81ea\u6211\u4e00\u81f4\u6027\u7684\u601d\u7ef4\u94fe\uff08CoT-SC\uff09\u3002ToT \u4e0d\u4f1a\u751f\u6210\u591a\u6761\u8def\u5f84\uff0c\u800c\u662f\u5728\u751f\u6210\u540e\u624d\u5bf9\u5176\u8fdb\u884c\u8bc4\u4f30\uff0c\u800c\u662f\u5728\u601d\u7ef4\u63a8\u8fdb\u8fc7\u7a0b\u4e2d\u5bf9\u5176\u8fdb\u884c\u52a8\u6001\u8bc4\u4f30\u3002<\/section>\n
<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u7b80\u5355\u6f14\u793a ToT\u00a0<\/sup><\/em><\/section>\n
<\/section>\n
\u6211\u4eec\u53ef\u4ee5\u5c06 ToT \u60f3\u8c61\u4e3a 4 \u4e2a\u4e0d\u540c\u7684\u4eba\u805a\u5728\u4e00\u8d77\u89e3\u51b3\u95ee\u9898\u3002\u6bcf\u4e00\u6b65\uff0c\u4ed6\u4eec\u90fd\u4f1a\u63d0\u51fa\u81ea\u5df1\u7684\u60f3\u6cd5\uff0c\u5e76\u5171\u540c\u8bc4\u4f30\u54ea\u4e9b\u60f3\u6cd5\u770b\u8d77\u6765\u6700\u6709\u5e0c\u671b\u3002\u5982\u679c\u4e00\u4e2a\u4eba\u7684\u63a8\u7406\u4f3c\u4e4e\u6709\u7f3a\u9677\uff0c\u4ed6\u5c31\u4f1a\u79bb\u5f00\uff0c\u5176\u4ed6\u4eba\u4f1a\u7ee7\u7eed\u63a8\u8fdb\u4ed6\u4eec\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/section>\n
<\/section>\n
\u6700\u540e\uff0c\u63a8\u7406\u6b63\u786e\u7684\u4eba\u5c06\u80fd\u591f\u4e3a\u4f60\u63d0\u4f9b\u7b54\u6848\u3002<\/section>\n
<\/section>\n
\u8fd9\u4f7f\u5f97\u6a21\u578b\u53ef\u4ee5\u52a8\u6001\u4fee\u526a\u770b\u8d77\u6765\u4e4f\u5584\u53ef\u9648\u7684\u8def\u5f84\uff0c\u4e13\u6ce8\u4e8e\u66f4\u6709\u5e0c\u671b\u7684\u7ebf\u7a0b\uff0c\u4ece\u800c\u8282\u7701\u8d44\u6e90\u3002<\/section>\n
<\/section>\n
\u4f46\u662f\uff0c\u6709\u4eba\u53ef\u80fd\u4f1a\u95ee\uff0c\u7cfb\u7edf\u5982\u4f55\u51b3\u5b9a\u54ea\u4e2a\u7ebf\u7a0b\u662f\u5bf9\u7684\uff0c\u54ea\u4e2a\u7ebf\u7a0b\u662f\u9519\u7684\uff1f\u8fd9\u662f\u7531\u6a21\u578b\u672c\u8eab\u51b3\u5b9a\u7684\u3002<\/section>\n
<\/section>\n
\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48\u50cf\u8499\u7279\u5361\u6d1b\u6811\u641c\u7d22\uff08MCTS\uff09\u8fd9\u6837\u7684\u6269\u5c55\u53ef\u4ee5\u63d0\u4f9b\u66f4\u591a\u65e0\u504f\u89c1\u7684\u8bc4\u4f30\u673a\u5236\u3002MCTS \u5141\u8bb8\u53cd\u5411\u4f20\u64ad\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u53ef\u4ee5\u6839\u636e\u65b0\u4fe1\u606f\u91cd\u65b0\u5ba1\u89c6\u548c\u6539\u8fdb\u65e9\u671f\u6b65\u9aa4\uff0c\u800c\u7b80\u5355\u7684 ToT \u53ea\u4f1a\u5411\u524d\u79fb\u52a8\u3002<\/section>\n
<\/section>\n
\u5728 4 \u4e2a\u4eba\u89e3\u51b3\u95ee\u9898\u7684\u6848\u4f8b\u4e2d\uff0cMCTS \u4f1a\u5141\u8bb8\u4eba\u4eec\u6709\u4e0d\u592a\u7406\u60f3\u7684\u601d\u7ef4\uff0c\u4f46\u4ecd\u4f1a\u5728\u6e38\u620f\u4e2d\u505c\u7559\u66f4\u957f\u65f6\u95f4\u3002\u8fd9\u79cd\u60c5\u51b5\u7684\u8bc4\u4f30\u65b9\u6cd5\u4f1a\u6709\u6240\u4e0d\u540c\u3002<\/section>\n
<\/section>\n
MCTS \u53ef\u4ee5\u6a21\u62df\u591a\u79cd\u672a\u6765\u8def\u5f84\uff0c\u8bc4\u4f30\u5176\u6f5c\u529b\uff0c\u5e76\u56de\u6eaf\u4ee5\u6539\u8fdb\u65e9\u671f\u51b3\u7b56\u3002\u5b83\u5f15\u5165\u4e86\u5916\u90e8\u6307\u6807\uff08\u5956\u52b1\uff09\uff0c\u800c\u4e0d\u662f\u5b8c\u5168\u4f9d\u8d56\u6a21\u578b\u3002<\/section>\n
<\/section>\n
\u50cf UCB\uff08\u7f6e\u4fe1\u4e0a\u9650\uff09\u8fd9\u6837\u7684\u7edf\u8ba1\u6570\u636e\u4f7f\u7528\u8fd9\u4e9b\u5956\u52b1\u6765\u51b3\u5b9a\u8fdb\u4e00\u6b65\u63a2\u7d22\u6216\u91cd\u65b0\u5ba1\u89c6\u54ea\u4e9b\u60f3\u6cd5\u3002<\/section>\n
<\/section>\n
MCTS \u6bd4\u7b80\u5355\u7684 ToT \u7a0d\u5fae\u590d\u6742\u4e00\u4e9b\uff0c\u503c\u5f97\u5355\u72ec\u5199\u4e00\u7bc7\u6587\u7ae0\u3002<\/section>\n
<\/section>\n
CoT \u7684\u7ecf\u6d4e\u5b66<\/strong><\/section>\n
<\/section>\n
\u6240\u4ee5\uff0c\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u4f60\u53ef\u80fd\u4f1a\u60f3\uff1a\u597d\u5427\uff0c\u6211\u4eec\u5df2\u7ecf\u6709\u4e00\u4e9b\u6539\u8fdb\uff0c\u4e3a\u4ec0\u4e48\u4e0d\u603b\u662f\u4f7f\u7528\u66f4\u9ad8\u7ea7\u7684\u601d\u7ef4\u94fe\u5f62\u5f0f\u5462\uff1f<\/section>\n
<\/section>\n
\u9996\u5148\uff0c\u6210\u672c<\/strong>\uff08\u4ee5\u53ca\u601d\u8003\u65f6\u95f4\uff09\u3002<\/section>\n
<\/section>\n
\u5bf9\u4e8e\u5e94\u7528\u4e8e\u4e0d\u540c\u6a21\u578b\u7684\u94fe\uff0c\u8fd9\u91cc\u8ba1\u7b97\u7684\u662f\u5e73\u5747\u63a8\u7406\u6b65\u6570\u3002<\/section>\n
<\/a><\/section>\n
\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u6765\u770b\uff0c\u4f60\u5e73\u5747\u8981\u4e3a\u6bcf\u4e2a\u95ee\u9898\u652f\u4ed8\u9ad8\u8fbe 8 \u500d\u7684\u8d39\u7528\u3002\u5bf9\u4e8e\u5728\u9ad8\u7ea7\u6570\u5b66\u95ee\u9898\u4e0a\u8868\u73b0\u6700\u597d\u7684 Sonnet\uff0c\u4f60\u6bcf 500 \u4e2a\u95ee\u9898\u6700\u591a\u8981\u652f\u4ed8 15 \u7f8e\u5143\u3002<\/section>\n
<\/section>\n
\u8fd9\u770b\u8d77\u6765\u53ef\u80fd\u4e0d\u591a\uff0c\u4f46\u662f\u4e00\u65e6\u4f60\u6bcf\u5929\u4f7f\u7528\u8fd9\u4e2a\u7cfb\u7edf\u4e3a\u5ba2\u6237\u670d\u52a1\u6216\u4f60\u7684\u56e2\u961f\u751f\u6210\u7b54\u6848\uff0c\u90a3\u6bcf\u6708\u7684\u6d88\u8017\u53ef\u8fbe\u6570\u767e\u4e43\u81f3\u6570\u5343\u3002<\/section>\n
<\/section>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f7f\u7528\u9ad8\u7ea7\u63a8\u7406\u65b9\u6cd5\u662f\u6709\u610f\u4e49\u7684\uff0c\u4f46\u5e76\u975e\u603b\u662f\u5982\u6b64\u3002<\/section>\n
<\/section>\n
\u73b0\u5728\u53ef\u80fd\u5b58\u5728\u5bf9 CoT \u8fdb\u884c\u5fae\u8c03\u7684\u60c5\u51b5\uff0c\u53ef\u4ece\u6839\u672c\u4e0a\u6d88\u9664\u4e86\u591a\u6b21\u8c03\u7528\u7684\u9700\u8981\u3002<\/section>\n
<\/section>\n
\u8fd9\u91cc\u6709\u4e00\u70b9\u9700\u8981\u6743\u8861\u8003\u8651\uff1a\u6211\u4eec\u5e0c\u671b\u589e\u52a0\u601d\u8003\u65f6\u95f4\uff0c\u8ba9\u6a21\u578b\u6709\u8db3\u591f\u7684\u65f6\u95f4\u8fdb\u884c\u6709\u6548\u63a8\u7406\uff0c\u4f46\u8fd9\u6837\u505a\u4e5f\u4f1a\u589e\u52a0\u7528\u6237\u7684\u5931\u671b\u60c5\u7eea\u548c\u6210\u672c\u3002<\/section>\n
<\/section>\n
\u6784\u5efa\u667a\u80fd\u7cfb\u7edf<\/strong><\/section>\n
<\/section>\n
\u53bb\u5e74 9 \u6708\uff0c\u4e00\u7bc7\u9898\u4e3a\u300cTo CoT or not to CoT?\u300d\u7684\u8bba\u6587<\/a>\u53d1\u8868\uff0c\u8be5\u8bba\u6587\u8ba4\u4e3a\u5e94\u7528 CoT \u5e26\u6765\u7684\u5927\u591a\u6570\u6539\u8fdb\u4e3b\u8981\u5728\u6570\u5b66\u548c\u590d\u6742\u63a8\u7406\u65b9\u9762\u3002<\/section>\n
<\/section>\n
\u6211\u4eec\u5728\u8fd9\u91cc\u4e5f\u770b\u5230\u4e86\u8fd9\u4e00\u70b9\uff0c\u5728\u7b80\u5355\u7684\u95ee\u9898\u4e0a\uff0cCoT \u5e26\u6765\u7684\u63d0\u5347\u6709\u9650\u3002<\/section>\n
<\/section>\n
\u5f53\u6211\u4eec\u5e94\u7528\u8fd9\u4e9b\u94fe\u65f6\uff0c\u6211\u4eec\u5fc5\u987b\u7b49\u5f85\u66f4\u957f\u65f6\u95f4\u624d\u80fd\u5f97\u5230\u7b54\u590d\u3002\u8fd9\u503c\u5f97\u5417\uff1f\u5e94\u8be5\u6ce8\u610f\u7684\u662f\uff0c\u5bf9\u4e8e\u7b80\u5355\u7684\u4efb\u52a1\u6765\u8bf4\uff0c\u6240\u6709\u8fd9\u4e9b\u7b56\u7565\u90fd\u53ef\u80fd\u6709\u70b9\u8fc7\u5934\u4e86\u3002<\/section>\n
<\/section>\n
\u4f46\u662f\uff0c\u5982\u679c\u4f60\u6b63\u5728\u6784\u5efa\u4e00\u4e2a\u9700\u8981\u786e\u4fdd\u7b54\u6848\u6b63\u786e\u7684\u7cfb\u7edf\uff0c\u90a3\u4e48\u91c7\u7528\u67d0\u79cd\u5f62\u5f0f\u7684 CoT \u6216\u89e3\u7801\u53ef\u80fd\u4f1a\u5927\u6709\u52a9\u76ca\u3002<\/section>\n
<\/section>\n
\u6216\u8bb8\uff0c\u4e00\u79cd\u503c\u5f97\u8003\u8651\u7684\u505a\u6cd5\u662f\uff1a\u5148\u7528\u4e00\u4e2a\u6a21\u578b\u6839\u636e\u4efb\u52a1\u96be\u5ea6\u6765\u8bbe\u7f6e\u524d\u9762\u51e0\u6b65\uff0c\u7136\u540e\u5206\u6790\u5b83\u662f\u5426\u6709\u4fe1\u5fc3\u4e00\u5f00\u59cb\u5c31\u89e3\u7b54\u8fd9\u4e2a\u95ee\u9898\u3002\u7136\u540e\u8ba9\u6a21\u578b\u63a8\u7406\uff08\u901a\u8fc7\u94fe\uff09\uff0c\u6700\u540e\u7528\u53e6\u4e00\u4e2a\u6a21\u578b\u5bf9\u5176\u54cd\u5e94\u8fdb\u884c\u8bc4\u5206\u3002<\/section>\n
<\/section>\n
\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/towardsdatascience.com\/advanced-prompt-engineering-chain-of-thought-cot-8d8b090bf699<\/sup><\/em><\/section>\n

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[27],"tags":[68,82],"class_list":["post-39465","post","type-post","status-publish","format-standard","hentry","category-news","tag-68","tag-82"],"yoast_head":"\nAI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe - \u4e00\u8d77AI\u6280\u672f<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/17aitech.com\/?p=39465\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/17aitech.com\/?p=39465\",\"url\":\"https:\/\/17aitech.com\/?p=39465\",\"name\":\"AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe - \u4e00\u8d77AI\u6280\u672f\",\"isPartOf\":{\"@id\":\"https:\/\/17aitech.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/17aitech.com\/?p=39465#primaryimage\"},\"image\":{\"@id\":\"https:\/\/17aitech.com\/?p=39465#primaryimage\"},\"thumbnailUrl\":\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-744e635ff7d6d59abb7a0d3f58963a4b.png\",\"datePublished\":\"2025-03-16T19:02:26+00:00\",\"author\":{\"@id\":\"https:\/\/17aitech.com\/#\/schema\/person\/60225458499e817ae0af73e67e440b9d\"},\"breadcrumb\":{\"@id\":\"https:\/\/17aitech.com\/?p=39465#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/17aitech.com\/?p=39465\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/17aitech.com\/?p=39465#primaryimage\",\"url\":\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-744e635ff7d6d59abb7a0d3f58963a4b.png\",\"contentUrl\":\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-744e635ff7d6d59abb7a0d3f58963a4b.png\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/17aitech.com\/?p=39465#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/17aitech.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/17aitech.com\/#website\",\"url\":\"https:\/\/17aitech.com\/\",\"name\":\"\u4e00\u8d77AI\u6280\u672f\",\"description\":\"\u8ba9AI\u77e5\u8bc6\u89e6\u624b\u53ef\u53ca\",\"alternateName\":\"\u4e00\u8d77AI\u6280\u672f\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/17aitech.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/17aitech.com\/#\/schema\/person\/60225458499e817ae0af73e67e440b9d\",\"name\":\"AI\u5c0f\u52a9\u624b\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/17aitech.com\/#\/schema\/person\/image\/\",\"url\":\"\/\/17aitech.com\/wp-content\/uploads\/2024\/04\/robot_3.png\",\"contentUrl\":\"\/\/17aitech.com\/wp-content\/uploads\/2024\/04\/robot_3.png\",\"caption\":\"AI\u5c0f\u52a9\u624b\"},\"description\":\"\u8fd9\u4e2a\u4eba\u5f88\u61d2\uff0c\u4ec0\u4e48\u90fd\u6ca1\u6709\u7559\u4e0b\uff5e\",\"url\":\"https:\/\/17aitech.com\/?page_id=33738&user=3\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe - \u4e00\u8d77AI\u6280\u672f","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/17aitech.com\/?p=39465","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/17aitech.com\/?p=39465","url":"https:\/\/17aitech.com\/?p=39465","name":"AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe - \u4e00\u8d77AI\u6280\u672f","isPartOf":{"@id":"https:\/\/17aitech.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/17aitech.com\/?p=39465#primaryimage"},"image":{"@id":"https:\/\/17aitech.com\/?p=39465#primaryimage"},"thumbnailUrl":"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-744e635ff7d6d59abb7a0d3f58963a4b.png","datePublished":"2025-03-16T19:02:26+00:00","author":{"@id":"https:\/\/17aitech.com\/#\/schema\/person\/60225458499e817ae0af73e67e440b9d"},"breadcrumb":{"@id":"https:\/\/17aitech.com\/?p=39465#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/17aitech.com\/?p=39465"]}]},{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/17aitech.com\/?p=39465#primaryimage","url":"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-744e635ff7d6d59abb7a0d3f58963a4b.png","contentUrl":"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-744e635ff7d6d59abb7a0d3f58963a4b.png"},{"@type":"BreadcrumbList","@id":"https:\/\/17aitech.com\/?p=39465#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/17aitech.com\/"},{"@type":"ListItem","position":2,"name":"AI\u8fdb\u5165\u63a8\u7406\u6a21\u578b\u65f6\u4ee3\uff0c\u4e00\u6587\u5e26\u4f60\u8bfb\u61c2\u601d\u7ef4\u94fe"}]},{"@type":"WebSite","@id":"https:\/\/17aitech.com\/#website","url":"https:\/\/17aitech.com\/","name":"\u4e00\u8d77AI\u6280\u672f","description":"\u8ba9AI\u77e5\u8bc6\u89e6\u624b\u53ef\u53ca","alternateName":"\u4e00\u8d77AI\u6280\u672f","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/17aitech.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/17aitech.com\/#\/schema\/person\/60225458499e817ae0af73e67e440b9d","name":"AI\u5c0f\u52a9\u624b","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/17aitech.com\/#\/schema\/person\/image\/","url":"\/\/17aitech.com\/wp-content\/uploads\/2024\/04\/robot_3.png","contentUrl":"\/\/17aitech.com\/wp-content\/uploads\/2024\/04\/robot_3.png","caption":"AI\u5c0f\u52a9\u624b"},"description":"\u8fd9\u4e2a\u4eba\u5f88\u61d2\uff0c\u4ec0\u4e48\u90fd\u6ca1\u6709\u7559\u4e0b\uff5e","url":"https:\/\/17aitech.com\/?page_id=33738&user=3"}]}},"_links":{"self":[{"href":"https:\/\/17aitech.com\/index.php?rest_route=\/wp\/v2\/posts\/39465","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/17aitech.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/17aitech.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/17aitech.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/17aitech.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=39465"}],"version-history":[{"count":0,"href":"https:\/\/17aitech.com\/index.php?rest_route=\/wp\/v2\/posts\/39465\/revisions"}],"wp:attachment":[{"href":"https:\/\/17aitech.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=39465"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/17aitech.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=39465"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/17aitech.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=39465"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}