{"id":35646,"date":"2024-12-28T23:00:11","date_gmt":"2024-12-28T15:00:11","guid":{"rendered":"https:\/\/17aitech.com\/?p=35646"},"modified":"2024-12-28T23:00:11","modified_gmt":"2024-12-28T15:00:11","slug":"openai-o1%e5%bc%8f%e6%80%9d%e7%bb%b4%e9%93%be%ef%bc%8c%e5%bc%80%e6%ba%90%e6%a8%a1%e5%9e%8b%e4%b9%9f%e5%8f%af%e4%bb%a5%e6%9c%89%ef%bc%8c%e6%88%90%e5%8a%9f%e6%a1%88%e4%be%8b%e6%9d%a5%e4%ba%86","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=35646","title":{"rendered":"OpenAI o1\u5f0f\u601d\u7ef4\u94fe\uff0c\u5f00\u6e90\u6a21\u578b\u4e5f\u53ef\u4ee5\u6709\uff0c\u6210\u529f\u6848\u4f8b\u6765\u4e86"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-09-17-2\" target=\"_blank\">OpenAI o1\u5f0f\u601d\u7ef4\u94fe\uff0c\u5f00\u6e90\u6a21\u578b\u4e5f\u53ef\u4ee5\u6709\uff0c\u6210\u529f\u6848\u4f8b\u6765\u4e86<\/a><\/p>\n<p>\u5317\u4eac\u65f6\u95f4 9 \u6708 13 \u65e5\u5348\u591c\uff0c<a data-itemshowtype=\"0\" data-linktype=\"2\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzA3MzI4MjgzMw==&amp;mid=2650934313&amp;idx=1&amp;sn=3e89923751621fed57602ffe4ba751f4&amp;chksm=84e7c857b3904141d5ef61e834efeb469e7982498aca47cfe92cadcf3912908754e752793c2a&amp;scene=21#wechat_redirect\" target=\"_blank\">OpenAI \u53d1\u5e03\u4e86\u63a8\u7406\u6027\u80fd\u5f3a\u5927\u7684 \u03bf1 \u7cfb\u5217\u6a21\u578b<\/a>\u3002\u4e4b\u540e\uff0c\u5404\u8def\u7814\u7a76\u8005\u4e00\u76f4\u5728\u5c1d\u8bd5\u6316\u6398 \u03bf1 \u5353\u8d8a\u6027\u80fd\u80cc\u540e\u7684\u6280\u672f\u5e76\u5c1d\u8bd5\u590d\u73b0\u5b83\u3002\u5f53\u7136\uff0cOpenAI \u4e5f\u60f3\u4e86\u4e00\u4e9b\u65b9\u6cd5\u6765\u6291\u5236\u7aa5\u63a2\uff0c\u6bd4\u5982\u6709\u591a\u540d\u7528\u6237\u58f0\u79f0\u66fe\u8bd5\u56fe\u8bf1\u5bfc \u03bf1 \u6a21\u578b\u516c\u5e03\u5176\u601d\u7ef4\u8fc7\u7a0b\uff0c\u7136\u540e\u6536\u5230\u4e86 OpenAI \u7684\u5c01\u53f7\u5a01\u80c1\u3002<\/p>\n<article>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-282a72a40f261a0d9679f7e60127fe83.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-282a72a40f261a0d9679f7e60127fe83.png\"><\/a><\/p>\n<p>\u5c3d\u7ba1\u5982\u6b64\uff0c\u4e0d\u8fc7\u4e09\u56db\u5929\u65f6\u95f4\uff0c\u5c31\u5df2\u7ecf\u6709\u7814\u7a76\u8005\u5ba3\u79f0\u5df2\u7ecf\u6210\u529f\u590d\u73b0\/\u5f00\u53d1\u51fa\u4e86\u4e0e \u03bf1 \u6027\u80fd\u5dee\u4e0d\u591a\u7684\u63a8\u7406\u6280\u672f\uff0c\u5e76\u4e14\u8fd8\u4e0d\u6b62\u4e00\u4e2a\uff01<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_78 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 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href=\"https:\/\/17aitech.com\/?p=35646\/#%E5%A4%9A%E8%BD%AE%E6%8E%A8%E7%90%86%E6%98%AF%E5%85%B3%E9%94%AE\" >\u591a\u8f6e\u63a8\u7406\u662f\u5173\u952e<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/17aitech.com\/?p=35646\/#%E5%A6%82%E4%BD%95%E5%AE%9E%E7%8E%B0\" >\u5982\u4f55\u5b9e\u73b0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/17aitech.com\/?p=35646\/#%E5%8D%95%E8%BD%AE%E6%8E%A8%E7%90%86_vs_%E5%A4%9A%E8%BD%AE%E6%8E%A8%E7%90%86\" >\u5355\u8f6e\u63a8\u7406 vs \u591a\u8f6e\u63a8\u7406<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/17aitech.com\/?p=35646\/#%E5%A6%82%E4%BD%95%E4%BD%BF%E7%94%A8_Llamaberry\" >\u5982\u4f55\u4f7f\u7528 Llamaberry?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/17aitech.com\/?p=35646\/#g1%EF%BC%9A%E5%AE%9E%E7%8E%B0%E7%B1%BB%E4%BC%BC_%CE%BF1_%E7%9A%84%E6%8E%A8%E7%90%86%E9%93%BE\" >g1\uff1a\u5b9e\u73b0\u7c7b\u4f3c \u03bf1 \u7684\u63a8\u7406\u94fe<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/17aitech.com\/?p=35646\/#%E9%A1%B9%E7%9B%AE%E5%9C%B0%E5%9D%80%EF%BC%9Ahttps_githubcombklieger-groqg1\" >\u9879\u76ee\u5730\u5740\uff1ahttps:\/\/github.com\/bklieger-groq\/g1<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/17aitech.com\/?p=35646\/#g1_%E7%9A%84%E5%B7%A5%E4%BD%9C%E6%96%B9%E5%BC%8F\" >g1 \u7684\u5de5\u4f5c\u65b9\u5f0f<\/a><\/li><\/ul><\/nav><\/div>\n<h4><span class=\"ez-toc-section\" id=\"Llamaberry%EF%BC%9A%E6%95%99%E4%BC%9A_AI_%E5%83%8F%E8%81%AA%E6%98%8E%E4%BA%BA%E4%B8%80%E6%A0%B7%E6%80%9D%E8%80%83\"><\/span><strong>Llamaberry\uff1a\u6559\u4f1a AI \u50cf\u806a\u660e\u4eba\u4e00\u6837\u601d\u8003<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Llamaberry \u7684\u63d0\u51fa\u8005\u662f Martin Bowling\u3002\u4ed6\u5f00\u53d1\u7684\u9879\u76ee\u5305\u62ec RAGMiner.dev \u548c Replit\uff1b\u5176\u4e2d\u524d\u8005\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u6beb\u4e0d\u8d39\u529b\u5730\u5c06\u7f51\u7ad9\u8f6c\u6362\u6210 Markdown\u3001XML \u6216 JSON \u7b49\u683c\u5f0f\u4ee5\u4fbf RAG \u548c LLM \u5e94\u7528\u4f7f\u7528\uff0c\u800c\u540e\u8005\u5219\u662f\u4e00\u4e2a\u4f7f\u7528 AI \u5c06\u60f3\u6cd5\u53d8\u6210\u4ee3\u7801\u7684\u9879\u76ee\u3002<\/p>\n<p>Llamaberry \u7684\u6838\u5fc3\u601d\u8def\u662f\u4f7f\u7528\u601d\u7ef4\u94fe\uff08CoT\uff09\u6765\u5b9e\u73b0\u63a8\u7406\u3002\u8fd9\u4e2a\u540d\u5b57\u81ea\u7136\u6e90\u81ea\u4ee3\u8868 o1 \u6a21\u578b\u7684 Strawberry\uff08\u8349\u8393\uff09\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"HuggingFace%E5%9C%B0%E5%9D%80%EF%BC%9Ahttps_huggingfacecospacesmartinbowlingLlamaberry\"><\/span>HuggingFace\u5730\u5740\uff1ahttps:\/\/huggingface.co\/spaces\/martinbowling\/Llamaberry<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u4ec0\u4e48\u662f\u601d\u7ef4\u94fe\uff1fBowling \u5728\u535a\u5ba2\u4e2d\u6253\u4e86\u4e2a\u6bd4\u65b9\uff1a\u300c\u601d\u7ef4\u94fe\u63a8\u7406\u5c31\u50cf\u662f\u7ed9 AI \u4e00\u4e2a\u7b14\u8bb0\u672c\u6765\u5c55\u793a\u5176\u5de5\u4f5c\u8fc7\u7a0b\u3002\u5176\u4e2d\u4e0d\u4ec5\u4ec5\u662f\u7b80\u5355\u5730\u7ed9\u51fa\u7b54\u6848\uff0c\u800c\u662f\u4f1a\u5e26\u9886\u6211\u4eec\u7ecf\u5386\u5176\u601d\u7ef4\u8fc7\u7a0b\u3002\u300d<\/p>\n<p>Llamaberry \u80fd\u6559\u4f1a AI \u900f\u5f7b\u5730\u601d\u8003\uff0c\u5c31\u50cf\u662f\u4e00\u4f4d\u4eba\u7c7b\u4e13\u5bb6\u653b\u514b\u96be\u9898\u65f6\u90a3\u6837\u3002<\/p>\n<p>\u5177\u4f53\u6765\u8bf4\uff0cLlamaberry \u662f\u4e00\u4e2a<strong>\u591a\u8f6e\u601d\u7ef4\u94fe\u63a8\u7406\u7cfb\u7edf<\/strong>\u7684\u5b9e\u73b0\uff0c\u5176\u57fa\u4e8e\u8fd0\u884c\u5728 Groq \u4e0a\u7684 Llama 3.1 70B \u6a21\u578b\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E5%A4%9A%E8%BD%AE%E6%8E%A8%E7%90%86%E6%98%AF%E5%85%B3%E9%94%AE\"><\/span><strong>\u591a\u8f6e\u63a8\u7406\u662f\u5173\u952e<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u591a\u8f6e\u63a8\u7406\uff0c\u987e\u540d\u601d\u4e49\uff0c\u5c31\u662f\u8ba9\u6a21\u578b\u5728\u7ed9\u51fa\u7b54\u6848\u4e4b\u524d\u8fdb\u884c\u591a\u6b65\u601d\u8003\uff0c\u800c\u4e0d\u662f\u4e00\u6b65\u7ed9\u51fa\u7b54\u6848\u3002\u6253\u4e2a\u6bd4\u65b9\uff0c\u8fd9\u5c31\u50cf\u662f\u770b\u4e00\u4f4d\u5927\u53a8\u4ece\u5907\u83dc\u5230\u5b8c\u6210\u6446\u76d8\u4e00\u6b65\u6b65\u5730\u5b8c\u6210\u4e00\u9053\u7cbe\u7f8e\u83dc\u80b4\uff0c\u800c\u4e0d\u662f\u76f4\u63a5\u5fae\u6ce2\u52a0\u70ed\u9884\u5236\u83dc\u3002<\/p>\n<p>\u4e3e\u4e2a\u793a\u4f8b\uff1a<\/p>\n<p>\u7b2c 1 \u8f6e\uff1aAI \u5148\u5c1d\u8bd5\u89e3\u51b3\u5f53\u524d\u95ee\u9898\u3002<\/p>\n<p>\u7b2c 2 \u8f6e\uff1aAI \u56de\u987e\u7b2c\u4e00\u6b21\u5c1d\u8bd5\u5e76\u5c3d\u529b\u6539\u8fdb\u6216\u4f18\u5316\u5176\u601d\u7ef4\u8fc7\u7a0b\u3002<\/p>\n<p>\u7b2c 3 \u8f6e\uff1a\u518d\u8fdb\u884c\u4e00\u8f6e\u53cd\u601d\u548c\u6539\u8fdb\u3002<\/p>\n<p>\u7efc\u5408\u7ed3\u679c\uff1a\u6700\u540e\uff0c\u5c06\u6240\u6709\u8fd9\u4e9b\u601d\u8003\u7efc\u5408\u5230\u4e00\u8d77\uff0c\u5f97\u5230\u4e00\u4e2a\u8fde\u8d2f\u4e14\u5408\u7406\u7684\u7b54\u6848\u3002<\/p>\n<p>\u4e0b\u9762\u5c55\u793a\u4e86\u8fd9\u4e2a\u591a\u8f6e\u8fc7\u7a0b\u7684\u793a\u610f\u56fe\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-bb0ccd9ce4217043a4455ec46b3d0171.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-bb0ccd9ce4217043a4455ec46b3d0171.png\"><\/a><\/p>\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u524d\u4e00\u8f6e\u7684\u8f93\u51fa\u4f1a\u6210\u4e3a\u540e\u4e00\u8f6e\u7684\u8f93\u5165\uff0c\u4ece\u800c\u8ba9 AI \u53ef\u5728\u6bcf\u4e2a\u9636\u6bb5\u4e0d\u65ad\u5b8c\u5584\u5176\u601d\u7ef4\u3002\u6700\u540e\uff0c\u6240\u6709\u8fd9\u4e9b\u601d\u8003\u4f1a\u51dd\u7ec3\u6210\u4e00\u4e2a\u5408\u7406\u7684\u6700\u7ec8\u7b54\u6848\u3002\u5c31\u50cf\u770b\u7740\u4e00\u679a\u8393\u679c\u9010\u6e10\u6210\u719f\uff01<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E5%A6%82%E4%BD%95%E5%AE%9E%E7%8E%B0\"><\/span><strong>\u5982\u4f55\u5b9e\u73b0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u4e0b\u9762\u5c06\u6df1\u5165 Llamaberry \u7684\u5b9e\u73b0\u7ec6\u8282\u3002<\/p>\n<p><strong>1.\u8bbe\u7f6e\u821e\u53f0<\/strong><\/p>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u4e3a AI \u52a9\u624b\u8bbe\u7f6e\u4e00\u4e9b\u57fa\u672c\u89c4\u5219\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code>initial_system_prompt = \"\"\"You are an AI assistant capable of detailed, step-by-step thinking. When presented with a question or problem, break down your thought process into clear, logical steps. For each step, explain your reasoning. Conclude with a final answer. Use the following markdown structure:\r\n\r\n## Reasoning\r\n1. [First step]\r\n   **Explanation:** [Detailed explanation of this step]\r\n2. [Second step]\r\n   **Explanation:** [Detailed explanation of this step]\r\n...\r\n\r\n## Answer\r\n[Final answer]\r\n\r\nBe comprehensive and show your reasoning clearly.\"\"\"<\/code><\/pre>\n<p>\u8fd9\u5c31\u662f\u63d0\u4f9b\u7ed9 AI \u5927\u53a8\u7684\u83dc\u8c31\u3002\u5b83\u77e5\u9053\u9700\u8981\u9010\u6b65\u5206\u89e3\u5176\u601d\u8003\u8fc7\u7a0b\u5e76\u89e3\u91ca\u6bcf\u4e2a\u6b65\u9aa4\uff0c\u5e76\u4e14\u4ee5 Markdown \u683c\u5f0f\u5c06\u5b83\u4eec\u663e\u793a\u51fa\u6765\u3002<\/p>\n<p><strong>2.\u601d\u8003\u8fc7\u7a0b<\/strong><\/p>\n<p>\u5728\u6bcf\u4e00\u8f6e\u63a8\u7406\u4e2d\uff0c\u90fd\u9700\u8981\u8ba9 AI \u5bf9\u95ee\u9898\u8fdb\u884c\u601d\u8003\u3002\u4f46\u5728\u7b2c\u4e00\u8f6e\u7ed3\u675f\u540e\uff0c\u8fd8\u9700\u8981\u6c42\u5b83\u601d\u8003\u4e4b\u524d\u5df2\u7ecf\u601d\u8003\u8fc7\u7684\u4e1c\u897f\u3002\u8fd9\u5c31\u50cf\u95ee\u670b\u53cb\uff0c\u300c\u563f\uff0c\u8fd8\u8bb0\u5f97\u4f60\u4e4b\u524d\u8bf4\u8fc7\u4ec0\u4e48\u5417\uff1f\u8ba9\u6211\u4eec\u518d\u60f3\u4e00\u60f3\u3002\u300d<\/p>\n<p>\u4e0b\u9762\u662f\u6bcf\u4e00\u8f6e\u7684\u751f\u6210\u65b9\u5f0f\uff1a<\/p>\n<pre><code>async def generate_turn(query: str, previous_turns: list = None) -&gt; str:\r\n    is_first_turn = previous_turns is None or len(previous_turns) == 0\r\nif is_first_turn:\r\n        messages = [{\r\n            \"role\": \"system\",\r\n            \"content\": initial_system_prompt\r\n        }, {\r\n            \"role\": \"user\",\r\n            \"content\": query\r\n        }]\r\n    else:\r\n        previous_content = \"nn\".join(previous_turns)\r\n        messages = [{\r\n            \"role\": \"system\",\r\n            \"content\": followup_system_prompt\r\n        }, {\r\n            \"role\":\r\n            \"user\",\r\n            \"content\":\r\n            f\"Original Query: {query}nnPrevious Turns:n{previous_content}nnProvide the next turn of reasoning.\"\r\n        }]\r\n\r\n    return await call_llm(messages)<\/code><\/pre>\n<p>\u8be5\u51fd\u6570\u662f\u591a\u8f6e\u63a8\u7406\u7684\u6838\u5fc3\u3002\u5b83\u51b3\u5b9a\u6211\u4eec\u662f\u5728\u7b2c\u4e00\u8f6e\u8fd8\u662f\u5728\u540e\u7eed\u8f6e\uff0c\u5e76\u4ee5\u6b64\u6784\u5efa\u63d0\u793a\u8bcd\u3002\u5bf9\u4e8e\u540e\u7eed\u8f6e\uff0c\u5b83\u4f1a\u5c06\u4e4b\u524d\u6240\u6709\u63a8\u7406\u8f6e\u90fd\u5305\u542b\u5728\u4e0a\u4e0b\u6587\u4e2d\uff0c\u8ba9 AI \u53ef\u4ee5\u57fa\u4e8e\u4e4b\u524d\u7684\u601d\u8003\u8fdb\u884c\u6784\u5efa\u3002<\/p>\n<p><strong>3.\u7efc\u5408\u7ed3\u679c<\/strong><\/p>\n<p>\u7ecf\u8fc7\u4e09\u8f6e\u601d\u8003\u4e4b\u540e\uff0c\u518d\u8ba9 AI \u68c0\u89c6\u5176\u6240\u6709\u601d\u8003\u5e76\u5f97\u51fa\u4e00\u4e2a\u5408\u7406\u7684\u6700\u7ec8\u7b54\u6848\u3002\u8fd9\u5c31\u50cf\u662f\u8ba9\u4e13\u5bb6\u8ba8\u8bba\u95ee\u9898\uff0c\u7136\u540e\u7f16\u5199\u6700\u7ec8\u62a5\u544a\u3002<\/p>\n<pre><code>async def synthesize_turns(query: str, turns: list) -&gt; str:\r\n    turns_text = \"nn\".join(\r\n        [f\"Turn {i+1}:n{turn}\" for i, turn in enumerate(turns)])\r\n    messages = [{\r\n        \"role\": \"system\",\r\n        \"content\": synthesis_prompt\r\n    }, {\r\n        \"role\":\r\n        \"user\",\r\n        \"content\":\r\n        f\"Original Query: {query}nnTurns of Reasoning:n{turns_text}\"\r\n    }]\r\n    return await call_llm(messages)<\/code><\/pre>\n<p>\u8fd9\u4e2a\u7efc\u5408\u6b65\u9aa4\u81f3\u5173\u91cd\u8981\uff0c\u662f AI \u7efc\u5408\u6240\u6709\u601d\u8003\u5185\u5bb9\u51dd\u7ec3\u51fa\u6700\u7ec8\u7b54\u6848\u7684\u4e00\u6b65\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E5%8D%95%E8%BD%AE%E6%8E%A8%E7%90%86_vs_%E5%A4%9A%E8%BD%AE%E6%8E%A8%E7%90%86\"><\/span><strong>\u5355\u8f6e\u63a8\u7406 vs \u591a\u8f6e\u63a8\u7406<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Martin Bowling \u5728\u5176\u535a\u5ba2\u4e2d\u7b80\u5355\u6bd4\u8f83\u4e86\u5355\u8f6e\u548c\u591a\u8f6e\u63a8\u7406\u3002<\/p>\n<p>\u8fd9\u91cc\u4ed6\u91c7\u7528\u4e86\u4e00\u4e2a\u7b80\u5355\u793a\u4f8b\uff0c\u5373\u8be2\u95ee AI\uff1a\u300c\u4eba\u5de5\u667a\u80fd\u5bf9\u5c31\u4e1a\u5e02\u573a\u6709\u4ec0\u4e48\u6f5c\u5728\u5f71\u54cd\uff1f\u300d<\/p>\n<p>\u5355\u8f6e\u63a8\u7406\uff1a<\/p>\n<pre><code>AI: Artificial intelligence will likely have significant impacts on the job market, including:\r\n1. Automation of routine tasks\r\n2. Creation of new job roles in AI development and maintenance\r\n3. Potential job displacement in certain industries\r\n4. Increased demand for skills in data analysis and machine learning\r\n\r\nWhile AI may eliminate some jobs, it will also create new opportunities and increase productivity in many fields.<\/code><\/pre>\n<p>\u4f7f\u7528 Llamaberry \u6267\u884c\u591a\u8f6e\u63a8\u7406\uff1a<\/p>\n<p>\u7b2c 1 \u8f6e\uff1a<\/p>\n<pre><code>AI: Let's approach this step-by-step:\r\n\r\n1. Identify current AI capabilities\r\n   Explanation: AI can perform data analysis, pattern recognition, and automate routine tasks.\r\n\r\n2. Analyze vulnerable job sectors\r\n   Explanation: Manufacturing, customer service, and data entry are likely to be affected.\r\n\r\n3. Consider new job opportunities\r\n   Explanation: AI development, data science, and AI ethics consultation may see growth.\r\n\r\n4. Examine potential economic effects\r\n   Explanation: Increased productivity might lead to economic growth, but wealth distribution could be a challenge.\r\n\r\nInitial Answer: AI will likely cause significant shifts in the job market, with both job losses in some sectors and new opportunities in others.<\/code><\/pre>\n<p>\u7b2c 2 \u8f6e\uff1a<\/p>\n<pre><code>AI: Let's refine our thinking:\r\n\r\n1. Reassess the timeline of AI impact\r\n   Explanation: The effects won't be immediate but will unfold over years or decades.\r\n\r\n2. Consider the adaptability of the workforce\r\n   Explanation: Retraining and education will be crucial for workers to transition to new roles.\r\n\r\n3. Analyze potential societal changes\r\n   Explanation: The nature of work itself might change, with more emphasis on creativity and emotional intelligence.\r\n\r\n4. Examine global differences\r\n   Explanation: AI's impact will vary across different countries and economies.\r\n\r\nRefined Answer: AI's impact on the job market will be complex and gradual, requiring proactive measures in education and economic policy to ensure a smooth transition.<\/code><\/pre>\n<p>\u7b2c 3 \u8f6e\uff1a<\/p>\n<pre><code>AI: Let's delve deeper:\r\n\r\n1. Explore the concept of human-AI collaboration\r\n   Explanation: Many jobs may evolve to involve working alongside AI rather than being replaced by it.\r\n\r\n2. Consider the ethical implications\r\n   Explanation: Issues like algorithmic bias in hiring processes need to be addressed.\r\n\r\n3. Analyze the potential for new economic models\r\n   Explanation: Universal Basic Income or reduced working hours might become more prominent discussions.\r\n\r\n4. Examine historical parallels\r\n   Explanation: Previous technological revolutions, like the Industrial Revolution, can offer insights into potential outcomes.\r\n\r\nFurther Refined Answer: While AI will undoubtedly transform the job market, its impact will likely be nuanced, involving collaboration between humans and AI, ethical considerations, and potentially new economic paradigms.<\/code><\/pre>\n<p>\u7efc\u5408\u7b54\u6848\uff1a<\/p>\n<pre><code>AI: After careful consideration across multiple turns of reasoning, we can synthesize our thoughts on the potential impacts of artificial intelligence on the job market:\r\n\r\n1. Job Transformation: AI will lead to significant changes in the job market, but these changes will be gradual and complex. While some jobs may be automated, many others will be transformed to involve collaboration between humans and AI. Industries like manufacturing, customer service, and data entry are likely to see the most immediate impacts.\r\n\r\n2. New Opportunities: The rise of AI will create new job categories, particularly in fields like AI development, data science, AI ethics consultation, and human-AI interaction design. There will likely be an increased demand for skills in creativity, emotional intelligence, and complex problem-solving that AI cannot easily replicate.\r\n\r\n3. Economic and Social Implications: The integration of AI into the workforce has the potential to increase productivity and economic growth. However, it also raises concerns about wealth distribution and may necessitate discussions about new economic models, such as Universal Basic Income or reduced working hours.\r\n\r\n4. Education and Adaptation: The changing job market will require a strong emphasis on continuous learning and adaptation. Educational systems and workforce training programs will need to evolve to prepare people for the new reality of working alongside AI.\r\n\r\n5. Ethical Considerations: As AI becomes more prevalent in hiring and work processes, addressing issues like algorithmic bias and ensuring fair opportunities for all workers will be crucial.\r\n\r\n6. Global Variations: The impact of AI on the job market will not be uniform across the globe. Different countries and economies will experience varying effects based on their economic structures, technological readiness, and policy responses.\r\n\r\n7. Historical Context: While AI represents a significant shift, it's important to view it in the context of previous technological revolutions. Like the Industrial Revolution, the AI revolution will likely lead to short-term disruptions but potentially long-term benefits if managed properly.\r\n\r\nIn conclusion, while AI will undoubtedly have profound impacts on the job market, these impacts will be multifaceted and evolve over time. The key to navigating this transition successfully lies in proactive measures in education, economic policy, and ethical governance, ensuring that the benefits of AI are broadly shared while mitigating potential negative effects.<\/code><\/pre>\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u591a\u8f6e\u65b9\u6cd5\u80fd\u5b9e\u73b0\u66f4\u52a0\u7cbe\u7ec6\u3001\u5168\u9762\u7684\u5206\u6790\u3002\u8fd9\u80fd\u4ece\u591a\u4e2a\u89d2\u5ea6\u8003\u8651\u95ee\u9898\uff0c\u4f18\u5316\u5176\u601d\u8003\uff0c\u6700\u540e\u5f97\u5230\u66f4\u52a0\u6df1\u601d\u719f\u8651\u548c\u5168\u9762\u8be6\u7ec6\u7684\u7b54\u6848\u3002<\/p>\n<p>Bowling \u8868\u793a\uff0c\u8fd9\u6837\u7684\u591a\u8f6e\u63a8\u7406\u5728\u601d\u8003\u6df1\u5ea6\u3001\u81ea\u6211\u63d0\u5347\u3001\u900f\u660e\u5ea6\u3001\u7075\u6d3b\u6027\u7b49\u65b9\u9762\u90fd\u6709\u5de8\u5927\u4f18\u52bf\uff0c\u540c\u65f6\u5176\u8fd8\u91c7\u7528\u4e86 Markdown \u683c\u5f0f\uff0c\u4f7f\u5176\u7ed3\u679c\u66f4\u5bb9\u6613\u9605\u8bfb\u548c\u7528\u4e8e\u540e\u7eed\u6d41\u7a0b\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u8fd9\u79cd\u6280\u672f\u53ef\u8ba9 AI \u8fdb\u5165\u66f4\u591a\u5b9e\u9645\u5e94\u7528\u573a\u666f\uff0c\u6bd4\u5982\u533b\u7597\u8bca\u65ad\u3001\u6cd5\u5f8b\u5206\u6790\u3001\u79d1\u5b66\u7814\u7a76\u3001\u5546\u4e1a\u7b56\u7565\u3001\u6559\u80b2\u3002\u5f53\u7136\uff0c\u5728\u4f7f\u7528 Llamaberry \u7b49\u591a\u8f6e\u63a8\u7406\u7cfb\u7edf\u65f6\uff0c\u4e5f\u9700\u8981\u6ce8\u610f\u5b83\u4eec\u7684\u5c40\u9650\u548c\u6f5c\u5728\u7684\u9053\u5fb7\u4f26\u7406\u95ee\u9898\uff0c\u6bd4\u5982\u504f\u89c1\u3001\u8ba1\u7b97\u6210\u672c\u3001\u8fc7\u5ea6\u4f9d\u8d56\u548c\u9690\u79c1\u95ee\u9898\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E5%A6%82%E4%BD%95%E4%BD%BF%E7%94%A8_Llamaberry\"><\/span><strong>\u5982\u4f55\u4f7f\u7528 Llamaberry?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Llamaberry \u4e5f\u5f88\u5bb9\u6613\u4f7f\u7528\uff0c\u70b9\u51fb\u51e0\u4e0b\u5c31\u80fd\u62e5\u6709\u4f60\u81ea\u5df1\u7684\u591a\u8f6e\u63a8\u7406\u7cfb\u7edf\u3002\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li>\n<p>\u524d\u5f80 Replit\uff0c\u70b9\u51fb\u8be5\u94fe\u63a5\u83b7\u53d6 Llamaberry \u6a21\u677f\uff1ahttps:\/\/replit.com\/@MartinBowling\/Llamaberry-Powered-By-Groq?v=1<\/p>\n<\/li>\n<li>\n<p>\u521b\u5efa\u6a21\u677f\u5206\u652f\uff1a\u70b9\u51fb Fork \u6309\u94ae\u521b\u5efa\u4f60\u81ea\u5df1\u7684 Llamaberry \u9879\u76ee\u526f\u672c\u3002<\/p>\n<\/li>\n<li>\n<p>\u83b7\u53d6\u4f60\u7684 Groq API Key\uff1a\u6ce8\u518c Groq \u8d26\u6237\uff0c\u83b7\u53d6 API Key\u3002<\/p>\n<\/li>\n<li>\n<p>\u8bbe\u7f6e\u73af\u5883\uff1a\u5728\u4f60\u7684\u5206\u652f Replit \u9879\u76ee\u4e2d\uff0c\u627e\u5230\u300cSecrets\u300d\u9009\u9879\u5361\u3002\u6dfb\u52a0\u4e00\u4e2a\u65b0\u5bc6\u94a5\uff0c\u5bc6\u94a5\u4e3a GROQ_API_KEY\uff0c\u503c\u662f\u4f60\u7684 Groq API \u5bc6\u94a5\u3002<\/p>\n<\/li>\n<li>\n<p>\u8fd0\u884c\u9879\u76ee\uff1a\u5355\u51fb Replit \u754c\u9762\u9876\u90e8\u7684 Run \u6309\u94ae\u3002\u8fd9\u5c06\u542f\u52a8 Llamaberry \u5e94\u7528\u3002<\/p>\n<\/li>\n<li>\n<p>\u5f00\u59cb\u5b9e\u9a8c\uff1a\u5e94\u7528\u8fd0\u884c\u8d77\u6765\u540e\uff0c\u4f60\u5c06\u770b\u5230\u4e00\u4e2a Gradio \u754c\u9762\u3002\u4f60\u53ef\u4ee5\u5728\u5176\u4e2d\u8f93\u5165\u95ee\u9898\u5e76\u67e5\u770b Llamaberry \u591a\u8f6e\u63a8\u7406\u7684\u5b9e\u9645\u6548\u679c\uff01\u5e76\u4e14\u8f93\u51fa\u662f\u7b80\u6d01\u6f02\u4eae\u7684 Markdown \u683c\u5f0f\uff01<\/p>\n<\/li>\n<\/ol>\n<p>\u4e86\u89e3\u4e86 Llamaberry\uff0c\u4e0b\u9762\u6765\u770b\u53e6\u4e00\u4e2a\u53f7\u79f0\u5b9e\u73b0\u4e86\u7c7b o1 \u63a8\u7406\u94fe\u7684\u9879\u76ee\uff1ag1\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"g1%EF%BC%9A%E5%AE%9E%E7%8E%B0%E7%B1%BB%E4%BC%BC_%CE%BF1_%E7%9A%84%E6%8E%A8%E7%90%86%E9%93%BE\"><\/span><strong>g1\uff1a\u5b9e\u73b0\u7c7b\u4f3c \u03bf1 \u7684\u63a8\u7406\u94fe<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>g1 \u8fd9\u4e2a\u9879\u76ee\u6765\u81ea Benjamin Klieger\uff0c\u4ed6\u662f Groq \u7684\u4e00\u4f4d\u7814\u7a76\u8005\u3002\u4e5f\u56e0\u6b64\uff0cg1 \u540c\u6837\u57fa\u4e8e Groq\uff0c\u5e76\u4e14\u5176\u4e5f\u4f7f\u7528\u4e86 Llama 3.1 70b \u6a21\u578b\u3002<\/p>\n<p>\u4e0d\u540c\u4e8e Llamaberry \u4f7f\u7528\u7684\u591a\u8f6e\u601d\u7ef4\u94fe\u63a8\u7406\uff0cg1 \u7684\u7b56\u7565\u662f\u89d2\u8272\u626e\u6f14\u3001\u601d\u7ef4\u94fe\u63d0\u793a \u3001\u683c\u5f0f\u5316\u4ee5\u53ca\u53e6\u4e00\u4e9b\u63d0\u793a\u6280\u5de7\u3002\u5e76\u4e14\uff0cg1 \u5f00\u6e90\u4e86\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E9%A1%B9%E7%9B%AE%E5%9C%B0%E5%9D%80%EF%BC%9Ahttps_githubcombklieger-groqg1\"><\/span>\u9879\u76ee\u5730\u5740\uff1ahttps:\/\/github.com\/bklieger-groq\/g1<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-60f794bf1b8c970345c9f2a07a23ab36.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-60f794bf1b8c970345c9f2a07a23ab36.png\"><\/a><\/p>\n<p>\u5f00\u53d1\u8005\u5ba3\u79f0 g1 \u6709 70% \u7684\u65f6\u95f4\u80fd\u6210\u529f\u6570\u51fa Strawberry \u4e2d\u6709\u591a\u5c11\u4e2a R\uff0c\u540c\u65f6\u65e0\u9700\u4efb\u4f55\u5fae\u8c03\u6216\u5c11\u6837\u672c\u6280\u672f\u3002\u4e0b\u9762\u662f\u5176\u4e00\u6b21\u6267\u884c\u8fc7\u7a0b\uff1a\u00a0<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-57faf1a94c8c7dc8b9de41345840c91a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-57faf1a94c8c7dc8b9de41345840c91a.png\"><\/a><\/p>\n<p>\u5f00\u53d1\u8005 Klieger \u8868\u793a\uff0cg1 \u548c \u03bf1 \u4e00\u6837\u80fd\u8ba9 LLM \u6709\u80fd\u529b\u300c\u601d\u8003\u300d\u548c\u89e3\u51b3\u4e4b\u524d\u7684\u9886\u5148\u6a21\u578b\u96be\u4ee5\u5e94\u5bf9\u7684\u903b\u8f91\u95ee\u9898\u3002\u4f46\u4e0d\u540c\u4e4b\u5904\u5728\u4e8e\uff0cg1 \u4f1a\u5927\u65b9\u5730\u5c55\u793a\u6240\u6709\u63a8\u7406 token\u3002\u540c\u65f6\uff0c\u4ed6\u4e5f\u5f3a\u8c03\u4e86 g1 \u548c \u03bf1 \u5728\u6280\u672f\u4e0a\u7684\u5dee\u5f02\uff0c\u5176\u4e2d\u540e\u8005\u4f7f\u7528\u4e86\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\u6765\u6267\u884c\u601d\u7ef4\u94fe\u63a8\u7406\u3002\u800c g1 \u5219\u662f\u901a\u8fc7\u53d1\u6398\u63d0\u793a\u8bcd\u5de5\u7a0b\u7684\u6f5c\u529b\u6765\u5e2e\u52a9 LLM \u89e3\u51b3\u7b80\u5355\u7684\u903b\u8f91\u95ee\u9898\uff0c\u8ba9\u73b0\u6709\u7684\u5f00\u6e90\u6a21\u578b\u4e5f\u80fd\u53d7\u76ca\u4e8e\u52a8\u6001\u63a8\u7406\u94fe\u548c\u4f18\u5316\u822c\u7684\u63a2\u7d22\u754c\u9762\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"g1_%E7%9A%84%E5%B7%A5%E4%BD%9C%E6%96%B9%E5%BC%8F\"><\/span><strong>g1 \u7684\u5de5\u4f5c\u65b9\u5f0f<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u7531 Llama 3.1 70b \u652f\u6301\u7684 g1 \u4f1a\u521b\u5efa\u4e00\u79cd\u52a8\u6001\u7684\u601d\u7ef4\u94fe\u3002<\/p>\n<p>\u5728\u6bcf\u4e2a\u6b65\u9aa4\u4e2d\uff0cLLM \u53ef\u4ee5\u9009\u62e9\u662f\u7ee7\u7eed\u8fdb\u884c\u53e6\u4e00\u4e2a\u63a8\u7406\u6b65\u9aa4\uff0c\u8fd8\u662f\u63d0\u4f9b\u6700\u7ec8\u7b54\u6848\u3002\u6bcf\u4e2a\u6b65\u9aa4\u90fd\u6709\u6807\u9898\uff0c\u5e76\u4e14\u5bf9\u7528\u6237\u53ef\u89c1\u3002<\/p>\n<p>\u7cfb\u7edf\u63d0\u793a\u8bcd\u4e2d\u8fd8\u4f1a\u5305\u542b\u7ed9 LLM \u7684\u63d0\u793a\u3002\u5176\u63d0\u793a\u7b56\u7565\u5982\u4e0b\uff1a<\/p>\n<pre><code>You are an expert AI assistant that explains your reasoning step by step. For each step, provide a title that describes what you're doing in that step, along with the content. Decide if you need another step or if you're ready to give the final answer. Respond in JSON format with 'title', 'content', and 'next_action' (either 'continue' or 'final_answer') keys. USE AS MANY REASONING STEPS AS POSSIBLE. AT LEAST 3. BE AWARE OF YOUR LIMITATIONS AS AN LLM AND WHAT YOU CAN AND CANNOT DO. IN YOUR REASONING, INCLUDE EXPLORATION OF ALTERNATIVE ANSWERS. CONSIDER YOU MAY BE WRONG, AND IF YOU ARE WRONG IN YOUR REASONING, WHERE IT WOULD BE. FULLY TEST ALL OTHER POSSIBILITIES. YOU CAN BE WRONG. WHEN YOU SAY YOU ARE RE-EXAMINING, ACTUALLY RE-EXAMINE, AND USE ANOTHER APPROACH TO DO SO. DO NOT JUST SAY YOU ARE RE-EXAMINING. USE AT LEAST 3 METHODS TO DERIVE THE ANSWER. USE BEST PRACTICES.\r\n\r\nExample of a valid JSON response:\r\njson\r\n{\r\n    \"title\": \"Identifying Key Information\",\r\n    \"content\": \"To begin solving this problem, we need to carefully examine the given information and identify the crucial elements that will guide our solution process. This involves...\",\r\n    \"next_action\": \"continue\"\r\n}<\/code><\/pre>\n<p>\u5bf9\u8fd9\u4e9b\u63d0\u793a\u8bcd\u7684\u8be6\u7ec6\u89e3\u91ca\u8bf7\u53c2\u9605\u539f\u9879\u76ee\u7684 Prompt Breakdown \u4e00\u8282\u3002\u8fd9\u91cc\u5c31\u4e0d\u8d58\u8ff0\u4e86\uff0c\u4ec5\u7ed9\u51fa\u51e0\u4e2a\u793a\u4f8b\uff0c\u6bd4\u5982\u53ef\u4ee5\u5728\u63d0\u793a\u8bcd\u4e2d\u52a0\u5165\u300cinclude exploration of alternative answers\u300d\uff08\u63a2\u7d22\u5176\u5b83\u7b54\u6848\uff09\u548c\u300cuse at least 3 methods to derive the answer\u300d\uff08\u4f7f\u7528\u81f3\u5c11\u4e09\u79cd\u65b9\u6cd5\u6765\u5f97\u51fa\u7b54\u6848\uff09\u3002<\/p>\n<p>\u8fd9\u6837\u4e00\u6765\uff0c\u901a\u8fc7\u7ec4\u5408\u601d\u7ef4\u94fe\u4ee5\u53ca\u5c1d\u8bd5\u591a\u79cd\u65b9\u6cd5\u3001\u63a2\u7d22\u5176\u5b83\u7b54\u6848\u3001\u8d28\u7591\u4e4b\u524d\u8349\u62df\u7684\u89e3\u7b54\u3001\u8003\u8651 LLM \u7684\u5c40\u9650\u6027\u7b49\u7b56\u7565\uff0c\u5c31\u80fd\u663e\u8457\u63d0\u5347 LLM \u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<p>\u5728\u6570 Strawberry \u4e2d\u6709\u591a\u5c11\u4e2a R \u8fd9\u4e2a\u7ecf\u5178\u95ee\u9898\u4e0a\uff0c\u65e0\u9700\u4efb\u4f55\u8bad\u7ec3\uff0cg1 \u5c31\u80fd\u5e2e\u52a9 Llama 3.1 70b \u8fbe\u5230\u7ea6 70% \u7684\u51c6\u786e\u5ea6\uff08n=10, How many Rs are in strawberry?\uff09\u3002\u800c\u5982\u679c\u4e0d\u4f7f\u7528\u63d0\u793a\u6280\u672f\uff0cLlama 3.1 70b \u7684\u51c6\u786e\u7387\u4e3a 0%\uff0cChatGPT-4o \u7684\u4e5f\u53ea\u6709 30%\u3002<\/p>\n<p>\u4e0b\u9762\u5c55\u793a\u4e86\u53e6\u4e00\u4e2a\u793a\u4f8b\uff1a0.9 \u548c 0.11 \u54ea\u4e2a\u66f4\u5927\uff1f<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-0378198058aa02cb54fd23deb86de4bd.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/frc-0378198058aa02cb54fd23deb86de4bd.png\"><\/a><\/p>\n<p>\u8be6\u7ec6\u7684\u5b89\u88c5\u8fc7\u7a0b\u548c\u4ee3\u7801\u8bf7\u53c2\u9605\u539f\u9879\u76ee\u3002<\/p>\n<p>\u6700\u540e\uff0c\u987a\u4fbf\u4e00\u63d0\uff0c\u53e6\u6709\u5f00\u53d1\u8005\u53d1\u5e03\u4e86 g1 \u7684\u5206\u652f\u7248 Mult1\uff0c\u8be5\u7248\u672c\u7684\u4e00\u5927\u6539\u8fdb\u662f\u53ef\u4f7f\u7528\u591a\u4e2a AI \u63d0\u4f9b\u5546\u6765\u521b\u5efa\u7c7b\u4f3c o1 \u7684\u63a8\u7406\u94fe\uff0c\u611f\u5174\u8da3\u7684\u8bfb\u8005\u53ef\u8bbf\u95ee\uff1ahttps:\/\/github.com\/tcsenpai\/multi1<\/p>\n<\/article>\n<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-09-17-2\" target=\"_blank\">OpenAI o1\u5f0f\u601d\u7ef4\u94fe\uff0c\u5f00\u6e90\u6a21\u578b\u4e5f\u53ef\u4ee5\u6709\uff0c\u6210\u529f\u6848\u4f8b\u6765\u4e86<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:OpenAI o1\u5f0f\u601d [&hellip;]<\/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 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[27],"tags":[71],"class_list":["post-35646","post","type-post","status-publish","format-standard","hentry","category-news","tag-rag"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>OpenAI o1\u5f0f\u601d\u7ef4\u94fe\uff0c\u5f00\u6e90\u6a21\u578b\u4e5f\u53ef\u4ee5\u6709\uff0c\u6210\u529f\u6848\u4f8b\u6765\u4e86 - \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=35646\" \/>\n<script type=\"application\/ld+json\" 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