{"id":1527,"date":"2024-09-22T07:56:00","date_gmt":"2024-09-21T23:56:00","guid":{"rendered":"https:\/\/blog.laoyulaoyu.top\/?p=1527"},"modified":"2024-09-20T21:03:25","modified_gmt":"2024-09-20T13:03:25","slug":"%e5%9f%ba%e4%ba%8e-o1-%e8%8d%89%e8%8e%93%e6%a8%a1%e5%9e%8b%e5%bc%80%e5%8f%91%e7%9a%84%e4%ba%a4%e6%98%93%e7%ad%96%e7%95%a5%ef%bc%8c%e8%bd%bb%e6%9d%be%e8%b6%85%e8%b6%8a-gpt-4o","status":"publish","type":"post","link":"https:\/\/laoyulaoyu.com\/index.php\/2024\/09\/22\/%e5%9f%ba%e4%ba%8e-o1-%e8%8d%89%e8%8e%93%e6%a8%a1%e5%9e%8b%e5%bc%80%e5%8f%91%e7%9a%84%e4%ba%a4%e6%98%93%e7%ad%96%e7%95%a5%ef%bc%8c%e8%bd%bb%e6%9d%be%e8%b6%85%e8%b6%8a-gpt-4o\/","title":{"rendered":"\u57fa\u4e8e o1 \u8349\u8393\u6a21\u578b\u5f00\u53d1\u7684\u4ea4\u6613\u7b56\u7565\uff0c\u8f7b\u677e\u8d85\u8d8a GPT-4o"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c<\/a><\/p>\n\n\n\n

\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/p>\n\n\n

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\"\"<\/figure>\n<\/div>\n\n\n
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\u5199\u5728\u524d\u9762\u7684\u8bdd\uff1a<\/strong>\u672c\u6587\u8bb0\u5f55\u4e86\u6211\u7528 OpenAI \u7684 o1 \u6a21\u578b\uff08\u8349\u8393\u6a21\u578b\uff09\u5f00\u53d1\u7b97\u6cd5\u4ea4\u6613\u7b56\u7565\u7684\u8fc7\u7a0b\u3002\u6211\u867d\u7136\u5728\u9996\u6b21\u5c1d\u8bd5\u65f6\u9047\u5230\u4e86\u6a21\u578b\u54cd\u5e94\u6162\u7684\u95ee\u9898\uff0c\u4f46\u6700\u7ec8\u8fd8\u662f\u521b\u5efa\u4e86\u51fa\u8272\u7684\u4ea4\u6613\u7b56\u7565<\/mark>\u3002\u672c\u6587\u5c55\u793a\u4e86\u5982\u4f55\u7ed3\u5408\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4e0e\u7b97\u6cd5\u4ea4\u6613\uff0c\u5305\u62ec\u5904\u7406\u7528\u6237\u8bf7\u6c42\u3001\u5206\u7c7b\u8bf7\u6c42\u3001\u751f\u6210 SQL \u67e5\u8be2\u548c\u521b\u5efa\u6295\u8d44\u7ec4\u5408\u7b49\u6b65\u9aa4\u3002\u4e0e GPT-4 \u6a21\u578b\u5bf9\u6bd4\u5b9e\u9a8c\u53d1\u73b0\uff0co1 \u6a21\u578b\u65e0\u9700\u4eba\u5de5\u5e72\u9884\u5c31\u80fd\u521b\u5efa\u9ad8\u6536\u76ca\u4ea4\u6613\u7b56\u7565<\/mark>\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u5728\u6211\u9996\u6b21\u5bf9\u65b0\u7684 OpenAI o1\uff08”\u8349\u8393”\uff09\u6a21\u578b\u8fdb\u884c\u5c1d\u8bd5\u65f6\uff0c\u7531\u4e8e\u5728\u6574\u4e2a\u7a0b\u5e8f\u4e2d\u4e0d\u65ad\u51fa\u73b0\u8d85\u65f6\uff0c\u6211\u4e0d\u5f97\u4e0d\u53cd\u590d\u68c0\u67e5\u6211\u7684\u7a0b\u5e8f\u4ee3\u7801\u3001API\u63a5\u53e3\u548c\u7f51\u7edc\u73af\u5883\u3002\u6211\u5f00\u59cb\u4e0d\u77e5\u9053\u65b0\u7684\u6807\u51c6\u662f\u53ef\u80fd\u8981\u7b49 5 \u5206\u949f\ud83d\ude02\u624d\u80fd\u5f97\u5230\u56de\u590d\u3002<\/p>\n\n\n\n
\u6240\u4ee5 o1 \u6709\u522b\u4e8e\u4f20\u7edf\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u6211\u4eec\u901a\u5e38\u80fd\u591f\u671f\u671b\u8f93\u5165\u540e\u7acb\u523b\u83b7\u5f97\u56de\u5e94\uff0c\u7136\u800c\u65b0\u7684 OpenAI \u6a21\u578b\u5374\u9700\u8981\u66f4\u957f\u7684\u65f6\u95f4\u6765\u8fdb\u884c\u5904\u7406\u548c\u751f\u6210\u56de\u5e94 \u2014\u2014 \u6211\u4eec\u4e0d\u59a8\u5c06\u6b64\u8fc7\u7a0b\u5f62\u5bb9\u4e3a \u201c\u601d\u8003\u201d\u3002\u5e76\u4e14\uff0c\u8fd9\u786e\u5b9e\u9700\u8981\u76f8\u5f53\u957f\u7684\u65f6\u95f4\u3002<\/p>\n\n\n\n
\u4f46\u4ece\u7ed3\u679c\u6765\u770b\uff0c\u8fd9\u79cd\u601d\u8003\u662f\u503c\u5f97\u7684\u3002\u56e0\u4e3a o1 \u5e2e\u6211\u521b\u9020\u4e86\u4e00\u79cd\u7b97\u6cd5\u4ea4\u6613\u7b56\u7565\uff0c\u5176\u8868\u73b0\u660e\u663e\u4f18\u4e8e\u5e02\u573a\u3002\u800c\u4e14\u8fd8\u662f\u5728\u7b2c\u4e00\u6b21\u5c1d\u8bd5\u65f6\u5c31\u505a\u5230\u4e86\uff0c\u8fd9\u786e\u5b9e\u51fa\u4e4e\u6211\u7684\u610f\u6599\u3002<\/p>\n\n\n\n
\u4e00\u3001\u5982\u4f55\u5229\u7528 o1 \u521b\u5efa\u7b97\u6cd5\u4ea4\u6613\u7b56\u7565<\/strong><\/h3>\n\n\n\n
\u6211\u5efa\u7acb\u7684\u7b97\u6cd5\u4ea4\u6613\u5e73\u53f0\uff08\u53ef\u4ee5\u7406\u89e3\u5e95\u5c42\u662f\u7c7b\u4f3c\u4e8eDify\u7684\u5e73\u53f0\uff09\uff0c\u53ef\u4ee5\u4e0e\u4efb\u4f55\u5927\u578b\u8bed\u8a00\u6a21\u578b\u534f\u540c\u5de5\u4f5c\u3002\u867d\u7136\u540e\u53f0\u652f\u6301Gemini\u3001Llama \u7b49\u5f00\u6e90\u6a21\u578b\u548c\u5176\u4ed6 LLMs\uff0c\u4f46\u5728\u524d\u53f0\u4ea4\u4e92\u65b9\u9762\u6211\u9009\u62e9\u4f7f\u7528 OpenAI \u548c Anthropic \uff0c\u5176\u5de5\u4f5c\u65b9\u5f0f\u5982\u4e0b\u56fe\uff0c\u5b83\u662f\u4e00\u4e2a\u591a\u6b65\u9aa4\u7684\u8fc7\u7a0b\u3002<\/p>\n\n\n
\n
\"\"
AI \u5982\u4f55\u548c\u5e73\u53f0\u914d\u5408\u4f7f\u7528<\/figcaption><\/figure>\n<\/div>\n\n\n
    \n
  1. \u53d1\u9001\u8bf7\u6c42\uff08Send Request\uff09<\/strong>\uff1a\u5411\u670d\u52a1\u5668\u53d1\u9001\u7528\u6237\u4fe1\u606f\u3002<\/li>\n\n\n\n
  2. \u5bf9\u8bf7\u6c42\u8fdb\u884c\u5206\u7c7b<\/strong>\uff08Classify Request\uff09<\/strong>:  \u4ece\u63d0\u793a\u5217\u8868\uff08\u5982 “AI \u7b5b\u9009\u5668\u63d0\u793a”\u3001”\u521b\u5efa\u6295\u8d44\u7ec4\u5408\u63d0\u793a “\u548c “\u5206\u6790\u57fa\u672c\u9762 “\u63d0\u793a\uff09\u4e2d\uff0c\u6a21\u578b\u786e\u5b9a\u6700\u76f8\u5173\u7684\u63d0\u793a\u4ee5\u5904\u7406\u8bf7\u6c42\u3002<\/li>\n\n\n\n
  3. \u8f6c\u53d1\u5230\u63d0\u793a\u5de5\u7a0b\uff08Forward to Prompt\uff09<\/strong>\uff1a\u5c06\u4fe1\u606f\u53d1\u9001\u81f3\u6700\u76f8\u5173\u7684\u63d0\u793a\u5de5\u7a0b\u5e76\u83b7\u5f97\u56de\u590d\u3002<\/li>\n\n\n\n
  4. \u5904\u7406\u540e\u54cd\u5e94\uff08Post-Process Response\uff09<\/strong>\uff1a\u6839\u636e\u63d0\u793a\uff0c\u6211\u4eec\u5c06\u6267\u884c\u5176\u4ed6\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u5728 “AI \u80a1\u7968\u7b5b\u9009\u5668\u63d0\u793a “\u63d0\u793a\u4e0b\uff0c\u6211\u4eec\u5c06\u751f\u6210\u4e00\u4e2a SQL \u67e5\u8be2\uff0c\u7136\u540e\u5728\u540e\u5904\u7406\u6b65\u9aa4\u4e2d\uff0c\u6211\u4eec\u5c06\u9488\u5bf9\u6570\u636e\u5e93\u6267\u884c\u8be5\u67e5\u8be2\u3002<\/li>\n<\/ol>\n\n\n
    \n
    \"\"<\/figure>\n<\/div>\n\n\n
    \u6839\u636e\u7b56\u7565\u63cf\u8ff0\uff0c\u6211\u4eec\u521b\u5efa\u7b56\u7565\u5927\u7eb2\u3002\u5176\u4e2d\u5305\u62ec\u7b56\u7565\u540d\u79f0\u3001\u64cd\u4f5c\uff08\u201c\u4e70\u5165\u201d\u6216\u201c\u5356\u51fa\u201d\uff09\u3001\u6211\u4eec\u60f3\u8981\u8d2d\u4e70\u7684\u8d44\u4ea7\u3001\u91d1\u989d\uff08\u4f8b\u5982\uff0c\u8d2d\u4e70\u529b\u7684 10% \u6216 100 \u80a1\uff09\u4ee5\u53ca\u6211\u4eec\u60f3\u8981\u6267\u884c\u64cd\u4f5c\u7684\u65f6\u95f4\u63cf\u8ff0\u3002<\/p>\n\n\n\n
    \u968f\u540e\uff0c\u6211\u4eec\u9488\u5bf9\u8fd9\u4e9b\u6761\u4ef6\u518d\u6b21\u91cd\u590d\u8be5\u8fc7\u7a0b\uff0c\u5e76\u5c06\u63cf\u8ff0\u8f6c\u5316\u4e3a\u80fd\u591f\u901a\u8fc7\u5e73\u53f0\u7684\u56de\u6eaf\u6d4b\u8bd5\u4e0e\u5b9e\u65f6\u4ea4\u6613\u529f\u80fd\u8fdb\u884c\u89e3\u8bfb\u7684\u6761\u4ef6\u3002\u901a\u8fc7\u8fd9\u4e00\u8fc7\u7a0b\uff0c\u6211\u4eec\u4fbf\u80fd\u591f\u501f\u52a9 AI \u6765\u521b\u5efa\u6295\u8d44\u7ec4\u5408\u3002<\/p>\n\n\n\n
    \u5728 OpenAI \u63a8\u51fa\u8349\u8393\u6a21\u578b\u4e4b\u524d\uff0cAI \u975e\u5e38\u6ce8\u91cd\u5b57\u9762\u610f\u601d<\/strong>\u3002\u5b83\u4f1a\u6839\u636e\u4f60\u7684\u8981\u6c42\u8fdb\u884c\u521b\u4f5c\uff0c\u4f46\u4e0d\u592a\u64c5\u957f\u4ea7\u751f\u81ea\u5df1\u7684\u60f3\u6cd5\u3002\u7528\u6237\u5fc5\u987b\u5b8c\u5168\u8d1f\u8d23\u8868\u8fbe\u4ed6\u4eec\u60f3\u8981\u4ec0\u4e48\uff0c\u5e76\u53cd\u590d\u601d\u8003\u4ed6\u4eec\u7684\u60f3\u6cd5\u3002<\/p>\n\n\n\n
    \u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u5f53\u6211\u770b\u5230\u8fd9\u4e2a\u65b0\u6a21\u578b\u5728\u7b2c\u4e00\u6b21\u5c1d\u8bd5\u65f6\u521b\u9020\u51fa\u4e00\u79cd\u9ad8\u5229\u6da6\u7684<\/strong>\u4ea4\u6613\u7b56\u7565\u65f6\u6211\u611f\u5230\u9707\u60ca\u3002<\/p>\n\n\n\n
    \u4e8c\u3001o1 \u6a21\u578b “\u601d\u8003 “\u7684\u4f5c\u7528\u4e0e\u4f17\u4e0d\u540c<\/strong><\/h3>\n\n\n\n
    \u4e3a\u4e86\u5c55\u73b0\u8fd9\u6709\u591a\u4e48\u4ee4\u4eba\u96be\u4ee5\u7f6e\u4fe1\uff0c\u6211\u4f1a\u4f7f\u7528\u5b8c\u5168\u4e00\u6837\u7684\u63d0\u793a\u8bcd\u6765\u6784\u5efa\u4e24\u4e2a\u6295\u8d44\u7ec4\u5408\u3002\u7b2c\u4e00\u4e2a\u6295\u8d44\u7ec4\u5408\u4f1a\u7531 GPT-4o \u6765\u521b\u5efa\uff0c\u800c\u7b2c\u4e8c\u4e2a\u6295\u8d44\u7ec4\u5408\u5219\u7531 GPT-o1-mini \u6765\u521b\u5efa\u3002\u6211\u7528\u4e8e\u521b\u5efa\u8fd9\u4e9b\u6295\u8d44\u7ec4\u5408\u7684\u63d0\u793a\u8bcd\u5c06\u4e00\u6a21\u4e00\u6837\u3002<\/p>\n\n\n\n
    \u5148\u7528 GPT-4o \u6765\u505a\uff1a<\/strong><\/p>\n\n\n\n
    \u4e3a\u4e86\u521b\u5efa\u6295\u8d44\u7ec4\u5408\u7b56\u7565\uff0c\u6211\u5bf9 AI \u8bf4\u4e86\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
      \n
    1. \u6211\uff1a<\/strong>\u521b\u5efa\u4e00\u4e2a\u53eb Omni \u7684\u6295\u8d44\u7ec4\u5408\uff0c\u521d\u59cb\u4ef7\u503c\u4e3a 10,000 \u7f8e\u5143<\/strong>\u3002<\/li>\n\n\n\n
    2. Aime\uff1a<\/strong>\u4f60\u60f3\u5728\u4f60\u7684\u201cOmni\u201d\u6295\u8d44\u7ec4\u5408\u4e2d\u5b9e\u73b0\u4ec0\u4e48\u7b56\u7565\uff1f\u4f8b\u5982\uff0c\u4f60\u53ef\u4ee5\u6307\u5b9a\u4e70\u5165\u6216\u5356\u51fa\u7279\u5b9a\u80a1\u7968\u6216\u52a0\u5bc6\u8d27\u5e01\u7684\u6761\u4ef6\u3002<\/li>\n\n\n\n
    3. \u6211\uff1a<\/strong>\u6211\u60f3\u5728 TQQQ \u4e0a\u91c7\u7528 SMA \u4ea4\u53c9\u7b56\u7565\u3002\u6211\u503e\u5411\u4e8e\u91c7\u7528\u83b7\u5229\u7b56\u7565\uff0c\u540c\u65f6\u4e0d\u8bbe\u5b9a\u6b62\u635f \u2014\u2014 \u6211\u5bf9\u79d1\u6280\u80a1\u7684\u957f\u671f\u524d\u666f\u6301\u4e50\u89c2\u6001\u5ea6\uff0c\u5e76\u4e0d\u60f3\u8fdb\u884c\u6b62\u635f\u64cd\u4f5c\u3002\u6b64\u5916\uff0c\u6211\u8fd8\u5e0c\u671b\u8fdb\u884c\u5206\u6563\u4e70\u5165\uff0c\u800c\u975e\u4e00\u6b21\u6027\u5168\u90e8\u6295\u5165\u3002<\/li>\n<\/ol>\n\n\n
      \n
      \"\"<\/figure>\n<\/div>\n\n\n
      \u53ef\u4ee5\u770b\u51fa\uff0c\u7ed3\u679c\u5e76\u4e0d\u7406\u60f3\u3002\u5176\u767e\u5206\u6bd4\u56de\u62a5\u7387\u8fdc\u8fdc\u4f4e\u4e8e\u6301\u6709 SPY\uff0c\u98ce\u9669\u8c03\u6574\u540e\u7684\u56de\u62a5\u7387\u4e5f\u900a\u8272\u4e0d\u5c11\uff0c\u5e76\u4e14\u5b83\u8fdb\u884c\u4e86\u5927\u91cf\u7684\u4ea4\u6613\uff08\u56e0\u4e3a\u5728\u5b9e\u76d8\u4ea4\u6613\u4e2d\u4f1a\u4ea4\u7a0e\uff0c\u4f1a\u8fdb\u4e00\u6b65\u524a\u51cf\u5b9e\u9645\u5b9e\u73b0\u5229\u6da6<\/em>\uff09\u3002<\/p>\n\n\n\n
      \u6211\u4eec\u518d\u8bd5\u4e0b GPT-o1-mini \uff1a<\/strong><\/p>\n\n\n
      \n
      \"\"<\/figure>\n<\/div>\n\n\n
      \u521b\u5efa\u8fd9\u4e2a\u6295\u8d44\u7ec4\u5408\u7684\u8fc7\u7a0b\u5b9e\u9645\u4e0a\u5b8c\u5168\u76f8\u540c\u3002\u8fd9\u4e24\u4e2a\u8bf7\u6c42\u4e4b\u95f4\u7684\u552f\u4e00\u533a\u522b\u662f\u6211\u4f7f\u7528\u4e86GPT-o1-mini<\/strong> \u6a21\u578b\u3002<\/p>\n\n\n
      \n
      \"\"<\/figure>\n<\/div>\n\n\n
      \u611f\u89c9\u81ea\u5df1\u7b49\u4e86\u4e00\u4e2a\u4e16\u7eaa\u540e\uff08\u5b9e\u9645\u4e0a\u662f4\u520622\u79d2<\/em>\uff09\uff0co1 \u7ed9\u6211\u7684\u8fd9\u4e2a\u6295\u8d44\u7ec4\u5408\u7b56\u7565\u7684\u7ed3\u679c\u597d\u5f97\u51e0\u4e4e\u4ee4\u4eba\u96be\u4ee5\u7f6e\u4fe1\uff0c\u8be5\u7b56\u7565\u51e0\u4e4e\u5728\u6240\u6709\u80fd\u60f3\u5230\u7684\u65b9\u9762\u90fd\u8dd1\u8d62\u4e86\u5e02\u573a\u3002<\/p>\n\n\n\n
        \n
      1.  \u4ece\u767e\u5206\u6bd4\u7684\u53d8\u5316\u6765\u770b\uff0c\u51e0\u4e4e\u662f\u6301\u6709 SPY \u7684 3 \u500d<\/strong>\uff0c\u9ad8\u8fbe 268% \uff1b<\/li>\n\n\n\n
      2. \u800c\u590f\u666e\u6bd4\u7387<\/strong>\uff08The sharpe ratio\uff09\u8981\u9ad8\u5f88\u591a\uff0c\u4e3a 0.71<\/strong>\uff0c\u800c\u4e0d\u662f 0.51 \uff1b<\/li>\n\n\n\n
      3. \u6700\u5927\u56de\u64a4\u4e3a 37%<\/strong>\uff0c\u800c\u6301\u6709 SPY \u7684\u56de\u64a4\u4e3a 34% \uff1b<\/li>\n\n\n\n
      4. \u4f46\u5e73\u5747\u56de\u64a4\u5e45\u5ea6<\/strong>\u8f83\u5c0f\uff0c\u4e3a 4.35%<\/strong>\uff0c\u800c\u6301\u6709 SPY \u7684\u5e73\u5747\u56de\u64a4\u5e45\u5ea6\u63a5\u8fd1 7%\u3002<\/li>\n<\/ol>\n\n\n\n
        \u8fd9TM\u6709\u70b9\u592a\u4e0d\u53ef\u601d\u8bae\u4e86\u3002\u4e0d\u4ec5\u5229\u6da6\u5927\u589e\u4e86\uff0c\u800c\u4e14\u628a\u98ce\u9669\u63a7\u5236\u7684\u66f4\u4f4e\uff1f<\/p>\n\n\n\n
        \u4e09\u3001\u5bf9\u7ed3\u679c\u8fdb\u884c\u6df1\u5165\u5206\u6790<\/strong><\/h3>\n\n\n\n
        \u5b9e\u8bdd\u5b9e\u8bf4\uff0c\u7b2c\u4e00\u6b21\u770b\u5230\u8fd9\u4e9b\u7ed3\u679c\u540e\uff0c\u6211\u6709\u70b9\u60ca\u5446\u4e86\uff0c\u4e8e\u662f\u51b3\u5b9a\u8fdb\u884c\u4e00\u4e9b\u6df1\u5165\u7814\u7a76\u2014\u2014\u8fd9\u4e2a\u6a21\u578b\u505a\u4e86\u4ec0\u4e48\u800c GPT-4o \u6ca1\u6709\u505a\u7684\u4e8b\u60c5\uff1f<\/p>\n\n\n\n
        \u806a\u660e\u7684\u6211\u5f88\u5feb\u5c31\u53d1\u73b0\u4e86\u8fd9\u4e2a\u5173\u952e\u7ec6\u8282\uff1a\u5728\u4e3a\u8be5\u7b56\u7565\u751f\u6210\u5356\u51fa\u6761\u4ef6\u65f6\uff0c\u5982\u679c\u5934\u5bf8\u4e0a\u6da8\u54ea\u6015\u4e00\u70b9\u70b9\uff0c\u8fbe\u5230 0.15%\uff0cGPT-4o \u5c31\u4f1a\u5356\u51fa\u3002<\/p>\n\n\n
        \n
        \"\"<\/figure>\n<\/div>\n\n\n
        \u76f8\u6bd4\u4e4b\u4e0b\uff0c\u770b\u770b\u7531 GPT-o1 \u5efa\u7684\u6295\u8d44\u7ec4\u5408\u662f\u600e\u4e48\u505a\u7684\uff1f\u5b83\u7684\u7b56\u7565\u662f\uff1a\u5982\u679c\u80a1\u7968 14 \u5929\u5e73\u5747\u4ef7\u683c\u4e0a\u6da8 15% + \u540e\u624d\u9009\u62e9\u5356\u51fa\u3002<\/p>\n\n\n
        \n
        \"\"<\/figure>\n<\/div>\n\n\n
        \u672c\u7740\u201c\u6cbb\u75c5\u6551\u4eba\u201d\uff08\u6ca1\u4e8b\u627e\u4e8b<\/em>\uff09\u7684\u539f\u5219\uff0c\u6211\u6839\u636e o1\u7ed9\u51fa\u7684\u6295\u8d44\u7ec4\u5408\u7b56\u7565\uff0c\u5bf9 GPT-4o \u521b\u5efa\u7684\u6295\u8d44\u7ec4\u5408\u505a\u4e86\u4e00\u4e9b\u5c0f\u8c03\u6574\u3002<\/p>\n\n\n\n
        \"\"<\/figure>\n\n\n\n
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        \n
        \"\"<\/figure>\n<\/div>\n\n\n
        \u663e\u7136\uff0co1-mini \u6a21\u578b\u66f4\u597d\u5730\u7406\u89e3\u4e86\u5982\u4f55\u4e3a\u6211\u7684\u5e94\u7528\u521b\u5efa\u6709\u6548\u7684\u6295\u8d44\u7ec4\u5408\uff0c\u800c\u65e0\u9700\u8fed\u4ee3\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cGPT-4 \u6a21\u578b\u9700\u8981\u4e13\u5bb6\u7528\u6237\u7684\u66f4\u591a\u5e2e\u52a9\u3002\u6700\u7ec8\uff0c\u8fd9\u4e24\u4e2a\u6295\u8d44\u7ec4\u5408\u90fd\u83b7\u5f97\u4e86\u8d85\u8d8a\u5e02\u573a\u7684\u51fa\u8272\u56de\u62a5\u3002<\/strong><\/p>\n\n\n\n
        \u56db\u3001\u540e\u7eed\u6211\u8981\u505a\u7684\u4e8b\u60c5<\/strong><\/h3>\n\n\n\n
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        \n
        \"\"<\/figure>\n<\/div>\n\n\n
        \u201c\u53ea\u6709\u65f6\u95f4\u80fd\u544a\u8bc9\u6211\u4eec\u4e00\u5207\u3002\u201d\u2014\u2014 \u4e9a\u4f2f\u62c9\u7f55\u30fb\u6797\u80af\u3002<\/strong><\/p>\n\n\n\n
        <\/p>\n\n\n\n
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        \u4eba\u5de5\u667a\u80fd\u5c06\u5f7b\u5e95\u6539\u53d8\u5404\u884c\u5404\u4e1a\uff0c\u91d1\u878d\u4e1a\u4e5f\u4e0d\u4f8b\u5916\u3002\u8fd9\u9879\u5b9e\u9a8c\u8bc1\u660e\uff0cAI \u81f3\u5c11\u53ef\u4ee5\u5e2e\u52a9\u4f60\u505a\u51fa\u66f4\u660e\u667a\u7684\u4ea4\u6613\u51b3\u7b56\u3002\u73b0\u5728\u4e0b\u7ed3\u8bba\u8bf4\u7eaf\u7cb9\u7531AI \u751f\u6210\u7684\u6295\u8d44\u7ec4\u5408\u672c\u8d28\u4e0a\u66f4\u4f18\u8d8a\u8fd8\u4e3a\u65f6\u5c1a\u65e9\uff0c\u4f46\u8fd9\u4e2a\u5b9e\u9a8c\u6700\u4ee4\u4eba\u9707\u60ca\u7684\u662f\uff0c\u8fd9\u4e9b\u6295\u8d44\u7ec4\u5408\u662f\u5728\u77ed\u77ed\u51e0\u5206\u949f\u5185\u751f\u6210\u7684\u3002<\/p>\n\n\n\n
        \u770b\u4e86\u672c\u6587\u4f60\u4f1a\u4e86\u89e3\uff0cOpenAI \u7684\u4e24\u79cd\u8bed\u8a00\u6a21\u578b\u90fd\u80fd\u521b\u5efa\u9ad8\u6536\u76ca\u7684\u7b97\u6cd5\u4ea4\u6613\u7b56\u7565\u3002o1 \u6a21\u578b\u65e0\u9700\u4efb\u4f55\u4eba\u5de5\u5e72\u9884\uff0c\u800c GPT-4 \u6a21\u578b\u5219\u9700\u8981\u4eba\u7c7b\u7684\u5e2e\u52a9\u3002\u6700\u7ec8\uff0c\u8fd9\u4e24\u4e2a\u6a21\u578b\u7684\u56de\u6eaf\u6d4b\u8bd5\u56de\u62a5\u7387\u90fd\u5c06 S&P500 \u6307\u6570\u7529\u5728\u4e86\u540e\u9762\u3002<\/p>\n\n\n\n
        \u4f46\u8fd9\u4e9b\u56de\u6eaf\u6d4b\u8bd5\u7ed3\u679c\u8fd8\u4e0d\u591f\u3002\u5728\u63a5\u4e0b\u6765\u7684\u51e0\u5468\u91cc\uff0c\u6211\u5c06\u4f1a\u516c\u5e03\u7531 AI \u751f\u6210\u7684\u6295\u8d44\u7ec4\u5408\u7684\u5b9e\u9645\u529f\u6548\u3002<\/p>\n\n\n\n
        \u8bf7\u5927\u5bb6\u7ee7\u7eed\u5173\u6ce8\u7ed3\u679c\u2014\u2014\u8fd9\u53ef\u80fd\u4f1a\u662f\u6539\u53d8\u7b97\u6cd5\u4ea4\u6613\u7684\u6e38\u620f\u89c4\u5219\u3002<\/strong><\/p>\n\n\n\n
        <\/p>\n\n\n\n
        \n\n\n\n
        <\/p>\n\n\n\n
        <\/p>\n\n\n\n
        <\/p>\n\n\n\n
        \u672c<\/mark><\/strong>\u6587\u5185\u5bb9\u4ec5\u4ec5\u662f\u6280\u672f\u63a2\u8ba8\u548c\u5b66\u4e60\uff0c\u5e76\u4e0d\u6784\u6210\u4efb\u4f55\u6295\u8d44\u5efa\u8bae\u3002<\/mark><\/strong><\/p>\n\n\n\n
        \u8f6c\u53d1\u8bf7\u6ce8\u660e\u539f\u4f5c\u8005\u548c\u51fa\u5904\u3002<\/mark><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"
        \u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c \u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002…<\/p>\n
        Continue reading\u57fa\u4e8e o1 \u8349\u8393\u6a21\u578b\u5f00\u53d1\u7684\u4ea4\u6613\u7b56\u7565\uff0c\u8f7b\u677e\u8d85\u8d8a GPT-4o<\/span><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[3,4],"class_list":{"0":"post-1527","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-aiinvest","7":"tag-ai","9":"entry"},"_links":{"self":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts\/1527","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/comments?post=1527"}],"version-history":[{"count":1,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts\/1527\/revisions"}],"predecessor-version":[{"id":1528,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/posts\/1527\/revisions\/1528"}],"wp:attachment":[{"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/media?parent=1527"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/categories?post=1527"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/laoyulaoyu.com\/index.php\/wp-json\/wp\/v2\/tags?post=1527"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}