{"id":1532,"date":"2024-09-20T14:58:50","date_gmt":"2024-09-20T06:58:50","guid":{"rendered":"https:\/\/www.niuniucard.com\/blog\/?p=1532"},"modified":"2024-09-20T14:58:50","modified_gmt":"2024-09-20T06:58:50","slug":"openai-o1%ef%bc%9a%e5%a4%a7%e9%80%b2%e6%ad%a5%ef%bc%9f%e5%b0%8f%e6%8a%80%e5%b7%a7%ef%bc%9f%e6%96%b0%e6%80%9d%e8%b7%af%ef%bc%9f","status":"publish","type":"post","link":"\/blog\/archives\/1532","title":{"rendered":"OpenAI o1\uff1a\u5927\u9032\u6b65\uff1f\u5c0f\u6280\u5de7\uff1f\u65b0\u601d\u8def\uff1f"},"content":{"rendered":"\n

o1\u53ea\u662f\u4e00\u500b\u958b\u59cb<\/p>\n\n\n\n

\u7d93\u904e\u6f2b\u9577\u7684\u7b49\u5f85\uff0cOpenAI\u7d42\u65bc\u57289\u670812\u65e5\u767c\u5e03\u4e86\u65b0\u6a21\u578bO1\uff0c\u7528\u6236\u53ef\u4ee5\u76f4\u63a5\u8a2a\u554f\u9810\u89bd\u7248o1-preview\uff0c\u6216\u662f\u5c0f\u5c3a\u5bf8\u7248o1-mini\u3002\u5176\u919e\u91c0\u4e86\u5feb\u4e00\u5e74\u7684\u5927\u62db\uff0c\u4e00\u6703\u5152Q*\u3001\u4e00\u6703\u5152\u8349\u8393\u3001\u4e00\u6703\u5152AGI\u3001\u4e00\u6703\u5152GPT5\uff0c\u8017\u5f97\u6838\u5fc3\u6280\u8853\u5718\u968a\u90fd\u5feb\u8d70\u5149\u4e86\uff0c\u624d\u7d42\u65bc\u62ff\u51fa\u4f86\u8b93\u6240\u6709\u4eba\u6aa2\u9a57\u548c\u8a55\u8ad6\u3002\u9019\u6a23\u5099\u53d7\u77da\u76ee\u7684\u7522\u54c1\uff0c\u52e2\u5fc5\u5c0d\u7522\u696d\u751a\u81f3\u793e\u6703\u7522\u751f\u6df1\u9060\u7684\u5f71\u97ff\u3002\u800c\u4e14\u5b83\u4e0d\u50cf\u5e73\u5e38\u90a3\u200b\u200b\u4e9b\u7248\u672c\u66f4\u65b0\u4e00\u6a23\uff0c\u53ea\u662f\u7c21\u55ae\u7684\u6280\u8853\u80fd\u529b\u63d0\u5347\uff0c\u800c\u9700\u8981\u5f9e\u591a\u500b\u8996\u89d2\u548c\u7dad\u5ea6\u53bb\u89c0\u5bdf\u548c\u9810\u6e2c\u5176\u5f71\u97ff\u3002<\/p>\n\n\n\n


\u4e00\u3001\u5927\u9032\u6b65<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u8207GPT-4o\u76f8\u6bd4\uff0co1-preview\u5728\u89e3\u6c7a\u6578\u5b78\u548c\u7a0b\u5f0f\u8a2d\u8a08\u554f\u984c\u4e0a\u7684\u80fd\u529b\u63d0\u5347\u4e865\u500d\u4ee5\u4e0a\uff0c\u800c\u9084\u672a\u653e\u51fa\u7684o1\u5247\u8d85\u904e8\u500d\uff01\u5728\u89e3\u6c7a\u535a\u58eb\u7d1a\u79d1\u5b78\u984c\u76ee\u7684\u6642\u7684\u6210\u529f\u7387\uff0c\u90fd\u5df2\u7d93\u8d85\u904e\u4e86\u4eba\u985e\u5c08\u5bb6\u7684\u6c34\u5e73\u3002\u7406\u5316\u7af6\u8cfd\u80fd\u529b\u90fd\u8d85\u904e\u4e86\u4eba\u985e\u535a\u58eb\u7684\u6c34\u5e73\uff1b\u5728\u570b\u969b\u6578\u5b78\u5967\u6797\u5339\u514b\uff08IMO\uff09\u8cc7\u683c\u8003\u8a66\u4e2d\uff0cGPT-4o \u53ea\u6b63\u78ba\u89e3\u6c7a\u4e8613% \u7684\u554f\u984c\uff0c\u800c\u63a8\u7406\u6a21\u578b\u7684\u5f97\u5206\u70ba83%\uff1b\u7de8\u7a0b\u80fd\u529b\u5728Codeforces \u7af6\u8cfd\u4e2d\u8d85\u904e\u4e8689%\u7684\u4eba\u985e\u9078\u624b\u3002 o1\u770b\u8d77\u4f86\u5728\u5305\u62ec\u79d1\u5b78\u5728\u5167\u7684\u5404\u500b\u9818\u57df\u90fd\u8d85\u904e\u4eba\u985e\u7684\u6700\u5f37\u80fd\u529b\uff0c\u4e0d\u96e3\u7406\u89e3\u5967\u7279\u66fc\u4e4b\u524d\u5c0d\u5be6\u73feAGI\u7684\u6eff\u6eff\u81ea\u4fe1\u3002
\u5728\u5be6\u969b\u64cd\u4f5c\u4e2d\uff0c\u53ef\u4ee5\u770b\u51fa\u65b0\u6a21\u578b\u7684\u63a8\u7406\u904e\u7a0b\u8207\u4e4b\u524d\u6709\u5f88\u5927\u5dee\u7570\u3002\u6211\u5011\u53ef\u4ee5\u770b\u5230\u591a\u4e86\u4e00\u500b\u53ef\u4ee5\u6253\u958b\u548c\u95dc\u9589\u7684Show chain of thought\uff08\u986f\u793a\u601d\u8def\uff09\u6846\uff0c\u986f\u793a\u4e86\u6574\u500b\u601d\u7dad\u904e\u7a0b\u3002\u985e\u4f3c\u65bc\u4eba\u985e\u5728\u56de\u7b54\u96e3\u984c\u4e4b\u524d\u7684\u9577\u6642\u9593\u601d\u8003\uff0co1 \u5728\u5617\u8a66\u89e3\u6c7a\u554f\u984c\u6642\u6703\u900f\u904e\u601d\u8003\u5c07\u554f\u984c\u5206\u89e3\uff0c\u4e26\u6b65\u6b65\u70ba\u71df\uff0c\u53cd\u8986\u601d\u8003\u6bcf\u500b\u5c0f\u4efb\u52d9\uff0c\u8a8d\u8b58\u4e26\u7cfe\u6b63\u932f\u8aa4\u3002\u7576\u4e00\u500b\u65b9\u6cd5\u4e0d\u8d77\u4f5c\u7528\u6642\uff0c\u5b83\u6703\u5617\u8a66\u53e6\u4e00\u7a2e\u65b9\u6cd5\uff0c\u5f9e\u800c\u6975\u5927\u5730\u63d0\u9ad8\u4e86\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

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1\u3001\u601d\u7dad\u93c8
<\/strong>CoT\uff08Chain of thought\uff0c\u601d\u7dad\u93c8\uff09\uff0c\u662f\u5b78\u8005\u767c\u73fe\u7684\u80fd\u5920\u6fc0\u767c\u5927\u6a21\u578b\u900f\u904e\u300c\u601d\u8003\u300d\u4f86\u56de\u7b54\u56f0\u96e3\u554f\u984c\u7684\u6280\u8853\uff0c\u53ef\u4ee5\u986f\u8457\u63d0\u9ad8\u5176\u5728\u63a8\u7406\u7b49\u4efb\u52d9\u4e0a\u7684\u6b63\u78ba\u7387\u3002\u9019\u500b\u60f3\u6cd5\u5728\u5169\u5e74\u524d\u7684\u5e7e\u7bc7\u7d93\u5178\u8ad6\u6587\u4e2d\u5df2\u7d93\u4e0d\u65b7\u6539\u9032\u3002
\u300aChain-of-Thought Prompting Elicits Reasoning in Large Language Models\uff0cNeurIPS2022\u300b\u9019\u7bc7\u6587\u7ae0\u63d0\u51fa\uff0c\u5728\u554fLLM\u554f\u984c\u524d\uff0c\u624b\u5de5\u5728prompt\u88e1\u9762\u52a0\u5165\u4e00\u4e9b\u5305\u542b\u601d\u7dad\u904e\u7a0b\uff08Chain of thought\uff09\u7684\u554f\u7b54\u793a\u4f8b\uff08Manual CoT\uff09\uff0c\u5c31\u53ef\u4ee5\u8b93LLM\u5728\u63a8\u7406\u4efb\u52d9\u4e0a\u5927\u5e45\u63d0\u5347\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u300aLarge language models are zero-shot reasoners. NeurIPS2022\u300b\u63d0\u51fa\u5148\u4f7f\u7528\u300cLet’s think step by step.\u300d \u8b93\u6a21\u578b\u81ea\u5df1\u7d66\u51fa\u63a8\u7406\u904e\u7a0b\uff08Zero-shot CoT \uff09\uff0c\u4e5f\u884d\u751f\u51fa\u8af8\u5982\u300c\u4e00\u6b65\u4e00\u6b65\u6162\u6162\u4f86\u300c\u9019\u4e9b\u8457\u540d\u7684\u5492\u8a9e\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u300aAutomatic Chain of Thought Prompting in Large Language Models\uff0cICLR2023\u300b\u9019\u7bc7\u6587\u7ae0\u53ef\u4ee5\u7406\u89e3\u70ba\u4e8c\u8005\u7684\u7d50\u5408\uff0c\u5148\u7528\u300cLet’s think step by step.\u300d \u5492\u8a9e\u7522\u751f\u63a8\u7406\u904e\u7a0b\uff0c\u518d\u628a\u9019\u4e9b\u904e\u7a0b\u52a0\u5230prompt\u88e1\u9762\u53bb\u5f15\u5c0e\u5927\u6a21\u578b\u63a8\u7406\u3002\u9019\u6a23\u4e0d\u9700\u8981\u81ea\u5df1\u5beb\uff0c\u53c8\u80fd\u76f8\u5c0d\u53ef\u9760\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u5728\u9019\u4e9b\u4e4b\u5f8c\uff0cCoT\u9084\u7d93\u6b77\u4e86\u5343\u8b8a\u842c\u5316\u7684\u6f14\u9032\uff0c\u4f46\u5927\u90fd\u9084\u662f\u900f\u904eprompt\u4f86\u8a98\u5c0e\u5927\u6a21\u578b\u5206\u6b65\u601d\u7dad\uff0c\u4eba\u5011\u5c31\u5728\u60f3\uff0c\u80fd\u4e0d\u80fd\u8b93\u5927\u6a21\u578b\u81ea\u5df1\u5b78\u6703\u9019\u7a2e\u65b9\u6cd5\u5462\uff1f<\/p>\n\n\n\n


2\u3001\u5f37\u5316\u5b78\u7fd2\u8207\u81ea\u5b78\u63a8\u7406<\/strong>
\u985e\u4f3c\u7576\u5e74\u7684Alpha-Zero\uff0c\u5f37\u5316\u5b78\u7fd2\u662f\u8b93\u6a5f\u5668\u81ea\u5df1\u900f\u904e\u8207\u74b0\u5883\u4e92\u52d5\u4e26\u89c0\u5bdf\u7d50\u679c\u7684\u65b9\u5f0f\u8abf\u6574\u884c\u70ba\u7b56\u7565\u7684\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\uff0c\u4f46\u4e4b\u524d\u5f88\u96e3\u7528\u65bc\u8a9e\u8a00\u6a21\u578b\u3002\u76f4\u5230\u53f2\u4e39\u4f5b\u5927\u5b782022 \u5e74\u63d0\u51fa\u4e00\u7a2e\u300c\u81ea\u5b78\u63a8\u7406\u300d\uff08Self-Taught Reasoner\uff0cSTaR\uff09\u65b9\u6cd5\uff1a\u5148\u7d66\u6a21\u578b\u4e00\u4e9b\u4f8b\u984c\u8a73\u7d30\u89e3\u6cd5\uff0c\u518d\u8b93\u6a21\u578b\u5b78\u8457\u53bb\u89e3\u66f4\u591a\u7684\u984c\uff0c\u5982\u679c\u505a\u5c0d\u5c31\u628a\u65b9\u6cd5\u518d\u88dc\u5145\u5230\u4f8b\u984c\u88e1\uff0c\u5f62\u6210\u8cc7\u6599\u96c6\uff0c\u5c0d\u539f\u6a21\u578b\u5fae\u8abf\uff0c\u8b93\u6a21\u578b\u5b78\u6703\u9019\u4e9b\u65b9\u6cd5\uff0c\u9019\u4e5f\u662f\u7d93\u5178\u7684\u81ea\u52d5\u7522\u751f\u8cc7\u6599\u7684\u65b9\u6cd5\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u5f8c\u4f86\u57fa\u65bc\u6b64\u53c8\u6f14\u9032\u51fa\u4e86\u540d\u70ba”Quiet-STaR”\u7684\u65b0\u6280\u8853\uff0c\u4e5f\u5c31\u662f\u50b3\u8aaa\u4e2d\u7684Q*\uff0c\u7ffb\u8b6f\u904e\u4f86\u5927\u6982\u70ba”\u5b89\u975c\u7684\u81ea\u5b78\u63a8\u7406”\u3002\u6838\u5fc3\u70ba\u5728\u6bcf\u500b\u8f38\u5165 token \u4e4b\u5f8c\u63d2\u5165\u4e00\u500b”\u601d\u8003”\u6b65\u9a5f\uff0c\u8b93\u5927\u6a21\u578b\u7522\u751f\u5167\u90e8\u63a8\u7406\u3002\u7136\u5f8c\uff0c\u7cfb\u7d71\u6703\u8a55\u4f30\u9019\u4e9b\u63a8\u7406\u662f\u5426\u6709\u52a9\u65bc\u9810\u6e2c\u5f8c\u7e8c\u6587\u672c\uff0c\u4e26\u76f8\u61c9\u5730\u8abf\u6574\u6a21\u578b\u53c3\u6578\u3002\u9019\u7a2e\u65b9\u6cd5\u5141\u8a31\u6a21\u578b\u5728\u8655\u7406\u5404\u7a2e\u6587\u672c\u6642\u90fd\u80fd\u9032\u884c\u96b1\u542b\u7684\u63a8\u7406\uff0c\u800c\u4e0d\u50c5\u50c5\u662f\u5728\u56de\u7b54\u554f\u984c\u6642\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

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3\u3001Scaling Law\u7684\u5ef6\u4f38<\/strong>
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\"\"<\/figure>\n\n\n\n

OpenAI \u63d0\u53ca\u4e86\u81ea\u5df1\u8a13\u7df4\u4e2d\u767c\u73fe\u7684\u4e00\u500b\u73fe\u8c61\uff1a\u96a8\u8457\u66f4\u591a\u7684\u5f37\u5316\u5b78\u7fd2\uff08\u8a13\u7df4\u6642\u8a08\u7b97\uff09\u548c\u66f4\u591a\u7684\u601d\u8003\u6642\u9593\uff08\u63a8\u7406\u6642\u8a08\u7b97\uff09\uff0co1 \u7684\u8868\u73fe\u80fd\u6301\u7e8c\u63d0\u5347\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u82f1\u5049\u9054AI\u9818\u5c0e\u8005Jim Fan \u5728X \u4e0a\u9ede\u8a55\u4e86\u9019\u4e00\u4e8b\u4ef6\u7684\u6b77\u53f2\u610f\u7fa9\u2014\u2014\u6a21\u578b\u4e0d\u50c5\u50c5\u64c1\u6709\u8a13\u7df4\u6642\u7684scaling law\uff0c\u9084\u64c1\u6709\u63a8\u7406\u5c64\u9762\u7684scaling law\uff0c\u96d9\u66f2\u7dda\u7684\u5171\u540c\u589e\u9577\uff0c\u5c07\u7a81\u7834\u4e4b\u524d\u5927\u6a21\u578b\u80fd\u529b\u7684\u63d0\u5347\u74f6\u9838\u3002 \u201c\u4e4b\u524d\uff0c\u6c92\u6709\u4eba\u80fd\u5c07 AlphaGo \u7684\u6210\u529f\u8907\u88fd\u5230\u5927\u6a21\u578b\u4e0a\uff0c\u4f7f\u7528\u66f4\u591a\u7684\u8a08\u7b97\u8b93\u6a21\u578b\u8d70\u5411\u8d85\u4eba\u7684\u80fd\u529b\u3002\u76ee\u524d\uff0c\u6211\u5011\u5df2\u7d93\u7ffb\u904e\u9019\u4e00\u9801\u4e86\u3002\u201d
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2\u3001\u6210\u672c<\/strong>
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3.\u65b9\u6cd5\u8ad6<\/strong>
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\"\"<\/figure>\n\n\n\n

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