{"id":22180,"date":"2024-09-13T11:21:24","date_gmt":"2024-09-13T03:21:24","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=22180"},"modified":"2024-09-13T11:38:27","modified_gmt":"2024-09-13T03:38:27","slug":"%e5%88%9a%e5%88%9a%ef%bc%8copenai%e9%9c%87%e6%92%bc%e5%8f%91%e5%b8%83o1%e5%a4%a7%e6%a8%a1%e5%9e%8b%ef%bc%81%e5%bc%ba%e5%8c%96%e5%ad%a6%e4%b9%a0%e7%aa%81%e7%a0%b4llm%e6%8e%a8%e7%90%86%e6%9e%81%e9%99%90","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2024\/09\/13\/22180\/","title":{"rendered":"\u521a\u521a\uff0cOpenAI\u9707\u64bc\u53d1\u5e03o1\u5927\u6a21\u578b\uff01\u5f3a\u5316\u5b66\u4e60\u7a81\u7834LLM\u63a8\u7406\u6781\u9650"},"content":{"rendered":"<div><img data-dominant-color=\"0a0a0a\" data-has-transparency=\"false\" style=\"--dominant-color: #0a0a0a;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-22196\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/openai-logo-300x169-1-1-1-1.png\" width=\"300\" height=\"169\" alt=\"\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/openai-logo-300x169-1-1-1-1.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/openai-logo-300x169-1-1-1-1-150x85.png 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/div>\n<div><img data-dominant-color=\"a0779a\" data-has-transparency=\"true\" style=\"--dominant-color: #a0779a;\" loading=\"lazy\" decoding=\"async\" class=\"has-transparency alignnone size-full wp-image-22197\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/1671203155XwfCnbA7-300x193-1-1-1.png\" width=\"300\" height=\"193\" alt=\"\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/1671203155XwfCnbA7-300x193-1-1-1.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/1671203155XwfCnbA7-300x193-1-1-1-150x97.png 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/div>\n<div><img data-dominant-color=\"263e69\" data-has-transparency=\"false\" style=\"--dominant-color: #263e69;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-22198\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/00001-1-1.jpg\" width=\"1280\" height=\"720\" alt=\"\u4ec0\u4e48\u662f\u5927\u6a21\u578b\uff1f\u5927\u6a21\u578b\u5177\u4f18\u70b9\u7f3a\u70b9\u5206\u522b\u662f-\u6377\u6613\u79d1\u6280\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/00001-1-1.jpg 1280w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/00001-1-1-300x169.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/00001-1-1-1024x576.jpg 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/00001-1-1-150x84.jpg 150w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/09\/00001-1-1-768x432.jpg 768w\" sizes=\"auto, (max-width: 1280px) 100vw, 1280px\" \/><\/div>\n<div><\/div>\n<div><\/div>\n<div class=\"article-desc\">OpenAI \u79f0\uff0c\u4eca\u5929\u5728 ChatGPT \u548c\u5927\u6a21\u578b API \u4e2d\u65b0\u53d1\u5e03\u7684\u662f\u8be5\u7cfb\u5217\u4e2d\u7684\u7b2c\u4e00\u6b3e\u6a21\u578b\uff0c\u800c\u4e14\u8fd8\u53ea\u662f\u9884\u89c8\u7248 \u2014\u2014o1-preview\u3002\u9664\u4e86 o1\uff0cOpenAI \u8fd8\u5c55\u793a\u4e86\u76ee\u524d\u6b63\u5728\u5f00\u53d1\u7684\u4e0b\u6b21\u66f4\u65b0\u7684\u8bc4\u4f30\u3002<\/div>\n<div id=\"postspictures\" class=\"article-content\">\n<div id=\"container\" class=\"container am-engine\" data-v-1d7a5742=\"\" data-element=\"root\">\n<p>\u5927\u6a21\u578b\u9886\u57df\u7684\u6280\u672f\u53d1\u5c55\uff0c\u4eca\u5929\u8d77\u518d\u6b21\u300c\u4ece 1 \u5f00\u59cb\u300d\u4e86\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5927\u8bed\u8a00\u6a21\u578b\u8fd8\u80fd\u5411\u4e0a\u7a81\u7834\uff0cOpenAI \u518d\u6b21\u8bc1\u660e\u4e86\u81ea\u5df1\u7684\u5b9e\u529b\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5317\u4eac\u65f6\u95f4 9 \u6708 13 \u65e5\u5348\u591c\uff0cOpenAI \u6b63\u5f0f\u516c\u5f00\u4e00\u7cfb\u5217\u5168\u65b0 AI \u5927\u6a21\u578b\uff0c\u65e8\u5728\u4e13\u95e8\u89e3\u51b3\u96be\u9898\u3002\u8fd9\u662f\u4e00\u4e2a\u91cd\u5927\u7a81\u7834\uff0c\u65b0\u6a21\u578b\u53ef\u4ee5\u5b9e\u73b0\u590d\u6742\u63a8\u7406\uff0c\u4e00\u4e2a\u901a\u7528\u6a21\u578b\u89e3\u51b3\u6bd4\u6b64\u524d\u7684\u79d1\u5b66\u3001\u4ee3\u7801\u548c\u6570\u5b66\u6a21\u578b\u80fd\u505a\u5230\u7684\u66f4\u96be\u7684\u95ee\u9898\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI \u79f0\uff0c\u4eca\u5929\u5728 ChatGPT \u548c\u5927\u6a21\u578b API \u4e2d\u65b0\u53d1\u5e03\u7684\u662f\u8be5\u7cfb\u5217\u4e2d\u7684\u7b2c\u4e00\u6b3e\u6a21\u578b\uff0c\u800c\u4e14\u8fd8\u53ea\u662f\u9884\u89c8\u7248 \u2014\u2014o1-preview\u3002\u9664\u4e86 o1\uff0cOpenAI \u8fd8\u5c55\u793a\u4e86\u76ee\u524d\u6b63\u5728\u5f00\u53d1\u7684\u4e0b\u6b21\u66f4\u65b0\u7684\u8bc4\u4f30\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>o1 \u6a21\u578b\u4e00\u4e3e\u521b\u9020\u4e86\u5f88\u591a\u5386\u53f2\u8bb0\u5f55\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u9996\u5148\uff0co1 \u5c31\u662f\u6b64\u524d OpenAI \u4ece\u5c71\u59c6\u30fb\u5965\u7279\u66fc\u5230\u79d1\u5b66\u5bb6\u4eec\u4e00\u76f4\u5728\u300c\u9ad8\u8c03\u5ba3\u4f20\u300d\u7684\u8349\u8393\u5927\u6a21\u578b\u3002\u5b83\u62e5\u6709\u771f\u6b63\u7684\u901a\u7528\u63a8\u7406\u80fd\u529b\u3002\u5728\u4e00\u7cfb\u5217\u9ad8\u96be\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u5c55\u73b0\u51fa\u4e86\u8d85\u5f3a\u5b9e\u529b\uff0c\u76f8\u6bd4 GPT-4o \u6709\u5de8\u5927\u63d0\u5347\uff0c\u8ba9\u5927\u6a21\u578b\u7684\u4e0a\u9650\u4ece\u300c\u6ca1\u6cd5\u770b\u300d\u76f4\u63a5\u4e0a\u5347\u5230\u4f18\u79c0\u6c34\u5e73\uff0c\u4e0d\u4e13\u95e8\u8bad\u7ec3\u76f4\u63a5\u6570\u5b66\u5965\u8d5b\u91d1\u724c\uff0c\u751a\u81f3\u80fd\u5728\u535a\u58eb\u7ea7\u522b\u7684\u79d1\u5b66\u95ee\u7b54\u73af\u8282\u4e0a\u8d85\u8d8a\u4eba\u7c7b\u4e13\u5bb6\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5965\u7279\u66fc\u8868\u793a\uff0c\u867d\u7136 o1 \u7684\u8868\u73b0\u4ecd\u7136\u5b58\u5728\u7f3a\u9677\uff0c\u4e0d\u8fc7\u4f60\u5728\u7b2c\u4e00\u6b21\u4f7f\u7528\u5b83\u7684\u65f6\u5019\u4ecd\u7136\u4f1a\u611f\u5230\u9707\u64bc\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5176\u6b21\uff0co1 \u7ed9\u5927\u6a21\u578b\u89c4\u6a21\u6269\u5c55 vs \u6027\u80fd\u7684\u66f2\u7ebf\u5e26\u6765\u4e86\u4e00\u6b21\u4e0a\u7fd8\u3002\u5b83\u5728\u5927\u6a21\u578b\u9886\u57df\u91cd\u73b0\u4e86\u5f53\u5e74 AlphaGo \u5f3a\u5316\u5b66\u4e60\u7684\u6210\u529f \u2014\u2014 \u7ed9\u8d8a\u591a\u7b97\u529b\uff0c\u5c31\u8f93\u51fa\u8d8a\u591a\u667a\u80fd\uff0c\u4e00\u76f4\u5230\u8d85\u8d8a\u4eba\u7c7b\u6c34\u5e73\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4e5f\u5c31\u662f\u4ece\u65b9\u6cd5\u4e0a\uff0co1 \u5927\u6a21\u578b\u9996\u6b21\u8bc1\u660e\u4e86\u8bed\u8a00\u6a21\u578b\u53ef\u4ee5\u8fdb\u884c\u771f\u6b63\u7684\u5f3a\u5316\u5b66\u4e60\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5f00\u53d1\u51fa\u9996\u4e2a AI \u8f6f\u4ef6\u5de5\u7a0b\u5e08 Devin \u7684 Cognition AI \u8868\u793a\uff0c\u8fc7\u53bb\u51e0\u5468\u4e00\u76f4\u4e0e OpenAI \u5bc6\u5207\u5408\u4f5c\uff0c\u4f7f\u7528 Devin \u8bc4\u4f30 o1 \u7684\u63a8\u7406\u80fd\u529b\u3002\u7ed3\u679c\u53d1\u73b0\uff0c \u4e0e GPT-4o \u76f8\u6bd4\uff0co1 \u7cfb\u5217\u6a21\u578b\u5bf9\u4e8e\u5904\u7406\u4ee3\u7801\u7684\u667a\u80fd\u4f53\u7cfb\u7edf\u6765\u8bf4\u662f\u4e00\u4e2a\u91cd\u5927\u8fdb\u6b65\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u6700\u540e\u5728\u5b9e\u8df5\u4e2d\uff0co1 \u4e0a\u7ebf\u4e4b\u540e\uff0c\u73b0\u5728 ChatGPT \u53ef\u4ee5\u5728\u56de\u7b54\u95ee\u9898\u524d\u5148\u4ed4\u7ec6\u601d\u8003\uff0c\u800c\u4e0d\u662f\u7acb\u5373\u8131\u53e3\u800c\u51fa\u7b54\u6848\u3002\u5c31\u50cf\u4eba\u7c7b\u5927\u8111\u7684\u7cfb\u7edf 1 \u548c\u7cfb\u7edf 2\uff0cChatGPT \u5df2\u7ecf\u4ece\u4ec5\u4f7f\u7528\u7cfb\u7edf 1\uff08\u5feb\u901f\u3001\u81ea\u52a8\u3001\u76f4\u89c2\u3001\u6613\u51fa\u9519\uff09\u8fdb\u5316\u5230\u4e86\u53ef\u4f7f\u7528\u7cfb\u7edf 2 \u601d\u7ef4\uff08\u7f13\u6162\u3001\u6df1\u601d\u719f\u8651\u3001\u6709\u610f\u8bc6\u3001\u53ef\u9760\uff09\u3002\u8fd9\u8ba9\u5b83\u80fd\u591f\u89e3\u51b3\u4ee5\u524d\u65e0\u6cd5\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4ece\u4eca\u5929 ChatGPT \u7684\u7528\u6237\u4f53\u9a8c\u6765\u770b\uff0c\u8fd9\u662f\u5411\u524d\u8fc8\u8fdb\u4e00\u5c0f\u6b65\u3002\u5728\u7b80\u5355\u7684 Prompt \u4e0b\uff0c\u7528\u6237\u53ef\u80fd\u4e0d\u4f1a\u6ce8\u610f\u5230\u592a\u5927\u7684\u5dee\u5f02\uff0c\u4f46\u5982\u679c\u95ee\u4e00\u4e9b\u68d8\u624b\u7684\u6570\u5b66\u6216\u8005\u4ee3\u7801\u95ee\u9898\uff0c\u533a\u522b\u5c31\u5f00\u59cb\u660e\u663e\u4e86\u3002\u66f4\u91cd\u8981\u7684\u662f\uff0c\u672a\u6765\u53d1\u5c55\u7684\u9053\u8def\u5df2\u7ecf\u5f00\u59cb\u663e\u73b0\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u603b\u800c\u8a00\u4e4b\uff0c\u4eca\u665a OpenAI \u4e22\u51fa\u7684\u8fd9\u4e2a\u91cd\u78c5\u70b8\u5f39\uff0c\u5df2\u7ecf\u8ba9\u6574\u4e2a AI \u793e\u533a\u9707\u64bc\uff0c\u7eb7\u7eb7\u8868\u793a tql\u3001\u7761\u4e0d\u7740\u89c9\uff0c\u6df1\u591c\u5df2\u7ecf\u5f00\u59cb\u6293\u7d27\u5b66\u4e60\u3002\u63a5\u4e0b\u6765\uff0c\u5c31\u8ba9\u6211\u4eec\u770b\u4e0b OpenAI o1 \u5927\u6a21\u578b\u7684\u6280\u672f\u7ec6\u8282\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3>OpenAI o1 \u5de5\u4f5c\u539f\u7406<\/h3>\n<p>&nbsp;<\/p>\n<p>\u5728\u6280\u672f\u535a\u5ba2\u300aLearning to Reason with LLMs\u300b\u4e2d\uff0cOpenAI \u5bf9 o1 \u7cfb\u5217\u8bed\u8a00\u6a21\u578b\u505a\u4e86\u8be6\u7ec6\u7684\u6280\u672f\u4ecb\u7ecd\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI o1 \u662f\u7ecf\u8fc7\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u6765\u6267\u884c\u590d\u6742\u63a8\u7406\u4efb\u52a1\u7684\u65b0\u578b\u8bed\u8a00\u6a21\u578b\u3002\u7279\u70b9\u5c31\u662f\uff0co1 \u5728\u56de\u7b54\u4e4b\u524d\u4f1a\u601d\u8003 \u2014\u2014 \u5b83\u53ef\u4ee5\u5728\u54cd\u5e94\u7528\u6237\u4e4b\u524d\u4ea7\u751f\u4e00\u4e2a\u5f88\u957f\u7684\u5185\u90e8\u601d\u7ef4\u94fe\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4e5f\u5c31\u662f\u8be5\u6a21\u578b\u5728\u4f5c\u51fa\u53cd\u5e94\u4e4b\u524d\uff0c\u9700\u8981\u50cf\u4eba\u7c7b\u4e00\u6837\uff0c\u82b1\u66f4\u591a\u65f6\u95f4\u601d\u8003\u95ee\u9898\u3002\u901a\u8fc7\u8bad\u7ec3\uff0c\u5b83\u4eec\u5b66\u4f1a\u5b8c\u5584\u81ea\u5df1\u7684\u601d\u7ef4\u8fc7\u7a0b\uff0c\u5c1d\u8bd5\u4e0d\u540c\u7684\u7b56\u7565\uff0c\u5e76\u8ba4\u8bc6\u5230\u81ea\u5df1\u7684\u9519\u8bef\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5728 OpenAI \u7684\u6d4b\u8bd5\u4e2d\uff0c\u8be5\u7cfb\u5217\u540e\u7eed\u66f4\u65b0\u7684\u6a21\u578b\u5728\u7269\u7406\u3001\u5316\u5b66\u548c\u751f\u7269\u5b66\u8fd9\u4e9b\u5177\u6709\u6311\u6218\u6027\u7684\u57fa\u51c6\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u4e0e\u535a\u58eb\u751f\u76f8\u4f3c\u3002OpenAI \u8fd8\u53d1\u73b0\u5b83\u5728\u6570\u5b66\u548c\u7f16\u7801\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5728\u56fd\u9645\u6570\u5b66\u5965\u6797\u5339\u514b\uff08IMO\uff09\u8d44\u683c\u8003\u8bd5\u4e2d\uff0cGPT-4o \u4ec5\u6b63\u786e\u89e3\u7b54\u4e86 13% \u7684\u95ee\u9898\uff0c\u800c o1 \u6a21\u578b\u6b63\u786e\u89e3\u7b54\u4e86 83% \u7684\u95ee\u9898\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u6a21\u578b\u7684\u7f16\u7801\u80fd\u529b\u4e5f\u5728\u6bd4\u8d5b\u4e2d\u5f97\u5230\u4e86\u8bc4\u4f30\uff0c\u5728 Codeforces \u6bd4\u8d5b\u4e2d\u6392\u540d 89%\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI \u8868\u793a\uff0c\u4f5c\u4e3a\u65e9\u671f\u6a21\u578b\uff0c\u5b83\u8fd8\u4e0d\u5177\u5907 ChatGPT \u7684\u8bb8\u591a\u5b9e\u7528\u529f\u80fd\uff0c\u4f8b\u5982\u6d4f\u89c8\u7f51\u9875\u83b7\u53d6\u4fe1\u606f\u4ee5\u53ca\u4e0a\u4f20\u6587\u4ef6\u548c\u56fe\u7247\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4f46\u5bf9\u4e8e\u590d\u6742\u7684\u63a8\u7406\u4efb\u52a1\u6765\u8bf4\uff0c\u8fd9\u662f\u4e00\u4e2a\u91cd\u5927\u8fdb\u6b65\uff0c\u4ee3\u8868\u4e86\u4eba\u5de5\u667a\u80fd\u80fd\u529b\u7684\u65b0\u6c34\u5e73\u3002\u9274\u4e8e\u6b64\uff0cOpenAI \u5c06\u8ba1\u6570\u5668\u91cd\u7f6e\u4e3a 1\uff0c\u5e76\u5c06\u8be5\u7cfb\u5217\u6a21\u578b\u547d\u540d\u4e3a OpenAI o1\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u91cd\u70b9\u5728\u4e8e\uff0cOpenAI \u7684\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\uff0c\u6559\u4f1a\u6a21\u578b\u5982\u4f55\u5728\u6570\u636e\u9ad8\u5ea6\u6709\u6548\u7684\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5229\u7528\u5176\u601d\u60f3\u94fe\u8fdb\u884c\u9ad8\u6548\u601d\u8003\u3002\u6362\u8a00\u4e4b\uff0c\u7c7b\u4f3c\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684 Scaling Law\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI \u53d1\u73b0\uff0c\u968f\u7740\u66f4\u591a\u7684\u5f3a\u5316\u5b66\u4e60\uff08\u8bad\u7ec3\u65f6\u8ba1\u7b97\uff09\u548c\u66f4\u591a\u7684\u601d\u8003\u65f6\u95f4\uff08\u6d4b\u8bd5\u65f6\u8ba1\u7b97\uff09\uff0co1 \u7684\u6027\u80fd\u6301\u7eed\u63d0\u9ad8\u3002\u800c\u4e14\u6269\u5c55\u8fd9\u79cd\u65b9\u6cd5\u7684\u9650\u5236\u4e0e\u5927\u6a21\u578b\u9884\u8bad\u7ec3\u7684\u9650\u5236\u6709\u5f88\u5927\u4e0d\u540c\uff0cOpenAI \u4e5f\u8fd8\u5728\u7ee7\u7eed\u7814\u7a76\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s6.51cto.com\/oss\/202409\/13\/b27c38d015e17707cd0271279e1e60ec17f037.webp\" data-type=\"block\" \/><\/p>\n<p>&nbsp;<\/p>\n<h4>1.\u8bc4\u4f30<\/h4>\n<p>&nbsp;<\/p>\n<p>\u4e3a\u4e86\u7a81\u51fa\u76f8\u5bf9\u4e8e GPT-4o \u7684\u63a8\u7406\u6027\u80fd\u6539\u8fdb\uff0cOpenAI \u5728\u4e00\u7cfb\u5217\u4e0d\u540c\u7684\u4eba\u7c7b\u8003\u8bd5\u548c\u673a\u5668\u5b66\u4e60\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u6d4b\u8bd5\u4e86 o1 \u6a21\u578b\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5728\u7edd\u5927\u591a\u6570\u63a8\u7406\u4efb\u52a1\u4e2d\uff0co1 \u7684\u8868\u73b0\u660e\u663e\u4f18\u4e8e GPT-4o\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>o1 \u5728\u5177\u6709\u6311\u6218\u6027\u7684\u63a8\u7406\u57fa\u51c6\u4e0a\u6bd4 GPT-4o \u6709\u4e86\u5f88\u5927\u7684\u6539\u8fdb\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>o1 \u5728\u5e7f\u6cdb\u7684\u57fa\u51c6\u6d4b\u8bd5\u4e0a\u6bd4 GPT-4o \u6709\u6240\u6539\u8fdb\uff0c\u5305\u62ec 54\/57 MMLU \u5b50\u7c7b\u522b\uff0c\u56fe\u793a\u51fa\u4e86 7 \u4e2a\u4ee5\u4f9b\u8bf4\u660e\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5728\u8bb8\u591a\u63a8\u7406\u5bc6\u96c6\u578b\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0co1 \u7684\u8868\u73b0\u53ef\u4e0e\u4eba\u7c7b\u4e13\u5bb6\u76f8\u5ab2\u7f8e\u3002\u6700\u8fd1\u7684\u524d\u6cbf\u6a21\u578b\u5728 MATH \u548c GSM8K \u4e0a\u8868\u73b0\u5f97\u975e\u5e38\u597d\uff0c\u4ee5\u81f3\u4e8e\u8fd9\u4e9b\u57fa\u51c6\u6d4b\u8bd5\u5728\u533a\u5206\u6a21\u578b\u65b9\u9762\u4e0d\u518d\u6709\u6548\u3002\u56e0\u6b64\uff0cOpenAI \u5728 AIME \u4e0a\u8bc4\u4f30\u4e86\u6570\u5b66\u6210\u7ee9\uff0c\u8fd9\u662f\u4e00\u9879\u65e8\u5728\u6d4b\u8bd5\u7f8e\u56fd\u6700\u806a\u660e\u9ad8\u4e2d\u6570\u5b66\u5b66\u751f\u7684\u8003\u8bd5\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s7.51cto.com\/oss\/202409\/13\/e9b33a371811d08247e159750983b4c843702a.gif\" alt=\"\" data-type=\"block\" \/><\/p>\n<p>\u5728\u4e00\u4e2a\u5b98\u65b9\u6f14\u793a\u4e2d\uff0co1-preview \u89e3\u7b54\u4e86\u4e00\u4e2a\u975e\u5e38\u56f0\u96be\u7684\u63a8\u7406\u95ee\u9898\uff1a\u5f53\u516c\u4e3b\u7684\u5e74\u9f84\u662f\u738b\u5b50\u7684\u4e24\u500d\u65f6\uff0c\u516c\u4e3b\u7684\u5e74\u9f84\u4e0e\u738b\u5b50\u4e00\u6837\u5927\uff0c\u800c\u516c\u4e3b\u7684\u5e74\u9f84\u662f\u4ed6\u4eec\u73b0\u5728\u5e74\u9f84\u603b\u548c\u7684\u4e00\u534a\u3002\u738b\u5b50\u548c\u516c\u4e3b\u7684\u5e74\u9f84\u662f\u591a\u5c11\uff1f\u63d0\u4f9b\u8fd9\u4e2a\u95ee\u9898\u7684\u6240\u6709\u89e3\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5728 2024 \u5e74 AIME \u8003\u8bd5\u4e2d\uff0cGPT-4o \u5e73\u5747\u53ea\u89e3\u51b3\u4e86 12% (1.8\/15) \u7684\u95ee\u9898\uff0c\u800c o1 \u5728\u6bcf\u4e2a\u95ee\u9898\u53ea\u6709\u4e00\u4e2a\u6837\u672c\u7684\u60c5\u51b5\u4e0b\u5e73\u5747\u4e3a 74% (11.1\/15)\uff0c\u5728 64 \u4e2a\u6837\u672c\u4e4b\u95f4\u8fbe\u6210\u4e00\u81f4\u7684\u60c5\u51b5\u4e0b\u4e3a 83% (12.5\/15)\uff0c\u5728\u4f7f\u7528\u5b66\u4e60\u7684\u8bc4\u5206\u51fd\u6570\u5bf9 1000 \u4e2a\u6837\u672c\u91cd\u65b0\u6392\u5e8f\u65f6\u4e3a 93% (13.9\/15)\u300213.9 \u5206\u53ef\u4ee5\u8dfb\u8eab\u5168\u7f8e\u524d 500 \u540d\uff0c\u5e76\u4e14\u9ad8\u4e8e\u7f8e\u56fd\u6570\u5b66\u5965\u6797\u5339\u514b\u7ade\u8d5b\u5206\u6570\u7ebf\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI \u8fd8\u5728 GPQA Diamond \u57fa\u51c6\u4e0a\u8bc4\u4f30\u4e86 o1\uff0c\u8fd9\u662f\u4e00\u4e2a\u56f0\u96be\u7684\u667a\u529b\u57fa\u51c6\uff0c\u7528\u4e8e\u6d4b\u8bd5\u5316\u5b66\u3001\u7269\u7406\u548c\u751f\u7269\u5b66\u65b9\u9762\u7684\u4e13\u4e1a\u77e5\u8bc6\u3002\u4e3a\u4e86\u5c06\u6a21\u578b\u4e0e\u4eba\u7c7b\u8fdb\u884c\u6bd4\u8f83\uff0cOpenAI \u8058\u8bf7\u4e86\u62e5\u6709\u535a\u58eb\u5b66\u4f4d\u7684\u4e13\u5bb6\u6765\u56de\u7b54 GPQA Diamond \u57fa\u51c6\u95ee\u9898\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff1ao1 \u8d85\u8d8a\u4e86\u4eba\u7c7b\u4e13\u5bb6\u7684\u8868\u73b0\uff0c\u6210\u4e3a\u7b2c\u4e00\u4e2a\u5728\u8be5\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u505a\u5230\u8fd9\u4e00\u70b9\u7684\u6a21\u578b\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u8fd9\u4e9b\u7ed3\u679c\u5e76\u4e0d\u610f\u5473\u7740 o1 \u5728\u6240\u6709\u65b9\u9762\u90fd\u6bd4\u535a\u58eb\u66f4\u6709\u80fd\u529b \u2014\u2014 \u53ea\u662f\u8be5\u6a21\u578b\u66f4\u64c5\u957f\u89e3\u51b3\u4e00\u4e9b\u535a\u58eb\u5e94\u8be5\u89e3\u51b3\u7684\u95ee\u9898\u3002\u5728\u5176\u4ed6\u51e0\u4e2a ML \u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0co1 \u5b9e\u73b0\u4e86\u65b0\u7684 SOTA\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u542f\u7528\u89c6\u89c9\u611f\u77e5\u80fd\u529b\u540e\uff0co1 \u5728 MMMU \u57fa\u51c6\u4e0a\u5f97\u5206\u4e3a 78.2%\uff0c\u6210\u4e3a\u7b2c\u4e00\u4e2a\u4e0e\u4eba\u7c7b\u4e13\u5bb6\u76f8\u5f53\u7684\u6a21\u578b\u3002o1 \u8fd8\u5728 57 \u4e2a MMLU \u5b50\u7c7b\u522b\u4e2d\u7684 54 \u4e2a\u4e0a\u4f18\u4e8e GPT-4o\u3002<\/p>\n<p>&nbsp;<\/p>\n<h4>2.\u601d\u7ef4\u94fe\uff08CoT\uff09<\/h4>\n<p>&nbsp;<\/p>\n<p>\u4e0e\u4eba\u7c7b\u5728\u56de\u7b54\u96be\u9898\u4e4b\u524d\u4f1a\u957f\u65f6\u95f4\u601d\u8003\u7c7b\u4f3c\uff0co1 \u5728\u5c1d\u8bd5\u89e3\u51b3\u95ee\u9898\u65f6\u4f1a\u4f7f\u7528\u601d\u7ef4\u94fe\u3002\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\uff0co1 \u5b66\u4f1a\u78e8\u7ec3\u5176\u601d\u7ef4\u94fe\u5e76\u6539\u8fdb\u5176\u4f7f\u7528\u7684\u7b56\u7565\u3002o1 \u5b66\u4f1a\u4e86\u8bc6\u522b\u548c\u7ea0\u6b63\u9519\u8bef\uff0c\u5e76\u53ef\u4ee5\u5c06\u68d8\u624b\u7684\u6b65\u9aa4\u5206\u89e3\u4e3a\u66f4\u7b80\u5355\u7684\u6b65\u9aa4\u3002o1 \u8fd8\u5b66\u4f1a\u4e86\u5728\u5f53\u524d\u65b9\u6cd5\u4e0d\u8d77\u4f5c\u7528\u65f6\u5c1d\u8bd5\u4e0d\u540c\u7684\u65b9\u6cd5\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u6781\u5927\u5730\u63d0\u9ad8\u4e86\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n<p>&nbsp;<\/p>\n<h4>3.\u7f16\u7a0b\u80fd\u529b<\/h4>\n<p>&nbsp;<\/p>\n<p>\u57fa\u4e8e o1 \u8fdb\u884c\u4e86\u521d\u59cb\u5316\u5e76\u8fdb\u4e00\u6b65\u8bad\u7ec3\u4e86\u5176\u7f16\u7a0b\u6280\u80fd\u540e\uff0cOpenAI \u8bad\u7ec3\u5f97\u5230\u4e86\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u7f16\u7a0b\u6a21\u578b\uff08o1-ioi\uff09\u3002\u8be5\u6a21\u578b\u5728 2024 \u5e74\u56fd\u9645\u4fe1\u606f\u5b66\u5965\u6797\u5339\u514b\u7ade\u8d5b\uff08IOI\uff09\u8d5b\u9898\u4e0a\u5f97\u5230\u4e86 213 \u5206\uff0c\u8fbe\u5230\u4e86\u6392\u540d\u524d 49% \u7684\u6c34\u5e73\u3002\u5e76\u4e14\u8be5\u6a21\u578b\u53c2\u4e0e\u7ade\u8d5b\u7684\u6761\u4ef6\u4e0e 2024 IOI \u7684\u4eba\u7c7b\u53c2\u8d5b\u8005\u4e00\u6837\uff1a\u9700\u8981\u5728 10 \u4e2a\u5c0f\u65f6\u5185\u89e3\u7b54 6 \u4e2a\u9ad8\u96be\u5ea6\u7b97\u6cd5\u95ee\u9898\uff0c\u5e76\u4e14\u6bcf\u4e2a\u95ee\u9898\u4ec5\u80fd\u63d0\u4ea4 50 \u6b21\u7b54\u6848\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u9488\u5bf9\u6bcf\u4e2a\u95ee\u9898\uff0c\u8fd9\u4e2a\u7ecf\u8fc7\u4e13\u95e8\u8bad\u7ec3\u7684 o1 \u6a21\u578b\u4f1a\u91c7\u6837\u8bb8\u591a\u5019\u9009\u7b54\u6848\uff0c\u7136\u540e\u57fa\u4e8e\u4e00\u4e2a\u6d4b\u8bd5\u65f6\u9009\u53d6\u7b56\u7565\u63d0\u4ea4\u5176\u4e2d 50 \u4e2a\u7b54\u6848\u3002\u9009\u53d6\u6807\u51c6\u5305\u62ec\u5728 IOI \u516c\u5171\u6d4b\u8bd5\u6848\u4f8b\u3001\u6a21\u578b\u751f\u6210\u7684\u6d4b\u8bd5\u6848\u4f8b\u4ee5\u53ca\u4e00\u4e2a\u5b66\u4e60\u5f97\u5230\u7684\u8bc4\u5206\u51fd\u6570\u4e0a\u7684\u6027\u80fd\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u7814\u7a76\u8868\u660e\uff0c\u8fd9\u4e2a\u7b56\u7565\u662f\u6709\u6548\u7684\u3002\u56e0\u4e3a\u5982\u679c\u76f4\u63a5\u968f\u673a\u63d0\u4ea4\u4e00\u4e2a\u7b54\u6848\uff0c\u5219\u5e73\u5747\u5f97\u5206\u4ec5\u6709 156\u3002\u8fd9\u8bf4\u660e\u5728\u8be5\u7ade\u8d5b\u6761\u4ef6\u4e0b\uff0c\u8fd9\u4e2a\u7b56\u7565\u81f3\u5c11\u503c 60 \u5206\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI \u53d1\u73b0\uff0c\u5982\u679c\u653e\u5bbd\u63d0\u4ea4\u9650\u5236\u6761\u4ef6\uff0c\u5219\u6a21\u578b\u6027\u80fd\u66f4\u662f\u80fd\u5927\u5e45\u63d0\u5347\u3002\u5982\u679c\u6bcf\u4e2a\u95ee\u9898\u5141\u8bb8\u63d0\u4ea4 1 \u4e07\u6b21\u7b54\u6848\uff0c\u5373\u4f7f\u4e0d\u4f7f\u7528\u4e0a\u8ff0\u6d4b\u8bd5\u65f6\u9009\u53d6\u7b56\u7565\uff0c\u8be5\u6a21\u578b\u4e5f\u80fd\u5f97\u5230 362.14 \u5206\u2014\u2014\u53ef\u4ee5\u5f97\u91d1\u724c\u4e86\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u6700\u540e\uff0cOpenAI \u6a21\u62df\u4e86 Codeforces \u4e3b\u529e\u7684\u7ade\u4e89\u6027\u7f16\u7a0b\u7ade\u8d5b\uff0c\u4ee5\u5c55\u793a\u8be5\u6a21\u578b\u7684\u7f16\u7801\u6280\u80fd\u3002\u91c7\u7528\u7684\u8bc4\u4f30\u4e0e\u7ade\u8d5b\u89c4\u5219\u975e\u5e38\u63a5\u8fd1\uff0c\u5141\u8bb8\u63d0\u4ea4 10 \u4efd\u4ee3\u7801\u3002GPT-4o \u7684 Elo \u8bc4\u5206\u4e3a 808\uff0c\u5728\u4eba\u7c7b\u7ade\u4e89\u5bf9\u624b\u4e2d\u5904\u4e8e\u524d 11% \u7684\u6c34\u5e73\u3002\u8be5\u6a21\u578b\u8fdc\u8fdc\u8d85\u8fc7\u4e86 GPT-4o \u548c o1\u2014\u2014\u5b83\u7684 Elo \u8bc4\u5206\u4e3a 1807\uff0c\u8868\u73b0\u4f18\u4e8e 93% \u7684\u7ade\u4e89\u5bf9\u624b\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u5728\u7f16\u7a0b\u7ade\u8d5b\u4e0a\u8fdb\u4e00\u6b65\u5fae\u8c03\u4f7f\u5f97 o1 \u80fd\u529b\u53c8\u589e\uff0c\u5e76\u5728 2024 \u5e74\u56fd\u9645\u4fe1\u606f\u5b66\u5965\u6797\u5339\u514b\u7ade\u8d5b\uff08IOI\uff09\u89c4\u5219\u4e0b\u6392\u540d\u524d 49%\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4e0b\u9762\u8fd9\u4e2a\u5b98\u65b9\u793a\u4f8b\u76f4\u89c2\u5730\u5c55\u793a\u4e86 o1-preview \u7684\u7f16\u7a0b\u80fd\u529b\uff1a\u4e00\u6bb5\u63d0\u793a\u8bcd\u5c31\u8ba9\u5176\u5199\u51fa\u4e86\u4e00\u4e2a\u5b8c\u6574\u53ef\u8fd0\u884c\u7684\u6e38\u620f\u3002<\/p>\n<p>&nbsp;<\/p>\n<h4>4.\u4eba\u7c7b\u504f\u597d\u8bc4\u4f30<\/h4>\n<p>&nbsp;<\/p>\n<p>\u9664\u4e86\u8003\u8bd5\u548c\u5b66\u672f\u57fa\u51c6\u4e4b\u5916\uff0cOpenAI \u8fd8\u5728\u66f4\u591a\u9886\u57df\u7684\u5177\u6709\u6311\u6218\u6027\u7684\u5f00\u653e\u5f0f\u63d0\u793a\u4e0a\u8bc4\u4f30\u4e86\u4eba\u7c7b\u5bf9 o1-preview \u548c GPT-4o \u7684\u504f\u597d\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u5728\u8fd9\u6b21\u8bc4\u4f30\u4e2d\uff0c\u4eba\u7c7b\u8bad\u7ec3\u8005\u5bf9 o1-preview \u548c GPT-4o \u7684\u63d0\u793a\u8fdb\u884c\u533f\u540d\u56de\u7b54\uff0c\u5e76\u6295\u7968\u9009\u51fa\u4ed6\u4eec\u66f4\u559c\u6b22\u7684\u56de\u7b54\u3002\u5728\u6570\u636e\u5206\u6790\u3001\u7f16\u7a0b\u548c\u6570\u5b66\u7b49\u63a8\u7406\u80fd\u529b\u8f83\u5f3a\u7684\u7c7b\u522b\u4e2d\uff0co1-preview \u7684\u53d7\u6b22\u8fce\u7a0b\u5ea6\u8fdc\u8fdc\u9ad8\u4e8e GPT-4o\u3002\u7136\u800c\uff0co1-preview \u5728\u67d0\u4e9b\u81ea\u7136\u8bed\u8a00\u4efb\u52a1\u4e0a\u5e76\u4e0d\u53d7\u6b22\u8fce\uff0c\u8fd9\u8868\u660e\u5b83\u5e76\u4e0d\u9002\u5408\u6240\u6709\u7528\u4f8b\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s6.51cto.com\/oss\/202409\/13\/45fdecd014629243949781a1418656d3fb81d8.webp\" data-type=\"block\" \/><\/p>\n<p>\u5728\u9700\u8981\u66f4\u5f3a\u5927\u63a8\u7406\u80fd\u529b\u7684\u9886\u57df\uff0c\u4eba\u4eec\u66f4\u9752\u7750 o1-preview\u3002<\/p>\n<p>&nbsp;<\/p>\n<h4>5.\u5b89\u5168<\/h4>\n<p>&nbsp;<\/p>\n<p>\u601d\u7ef4\u94fe\uff08CoT\uff09\u63a8\u7406\u4e3a\u5b89\u5168\u548c\u5bf9\u9f50\u63d0\u4f9b\u4e86\u65b0\u7684\u601d\u8def\u3002OpenAI \u53d1\u73b0\uff0c\u5c06\u6a21\u578b\u884c\u4e3a\u7b56\u7565\u6574\u5408\u5230\u63a8\u7406\u6a21\u578b\u7684\u601d\u7ef4\u94fe\u4e2d\uff0c\u53ef\u4ee5\u9ad8\u6548\u3001\u7a33\u5065\u5730\u6559\u5bfc\u4eba\u7c7b\u4ef7\u503c\u89c2\u548c\u539f\u5219\u3002\u901a\u8fc7\u5411\u6a21\u578b\u6559\u5bfc\u81ea\u5df1\u7684\u5b89\u5168\u89c4\u5219\u4ee5\u53ca\u5982\u4f55\u5728\u4e0a\u4e0b\u6587\u4e2d\u63a8\u7406\u5b83\u4eec\uff0cOpenAI \u53d1\u73b0\u63a8\u7406\u80fd\u529b\u76f4\u63a5\u6709\u5229\u4e8e\u6a21\u578b\u7a33\u5065\u6027\u7684\u8bc1\u636e\uff1ao1-preview \u5728\u5173\u952e\u8d8a\u72f1\u8bc4\u4f30\u548c\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u5b89\u5168\u62d2\u7edd\u8fb9\u754c\u7684\u6700\u4e25\u683c\u5185\u90e8\u57fa\u51c6\u4e0a\u53d6\u5f97\u4e86\u663e\u8457\u7684\u6539\u8fdb\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI \u8ba4\u4e3a\uff0c\u4f7f\u7528\u601d\u7ef4\u94fe\u53ef\u4ee5\u4e3a\u5b89\u5168\u548c\u5bf9\u9f50\u5e26\u6765\u91cd\u5927\u8fdb\u6b65\uff0c\u56e0\u4e3a 1\uff09\u5b83\u80fd\u591f\u4ee5\u6e05\u6670\u7684\u65b9\u5f0f\u89c2\u5bdf\u6a21\u578b\u601d\u7ef4\uff0c\u5e76\u4e14 2\uff09\u5173\u4e8e\u5b89\u5168\u89c4\u5219\u7684\u6a21\u578b\u63a8\u7406\u5bf9\u4e8e\u5206\u5e03\u5916\u573a\u666f\u66f4\u5177\u7a33\u5065\u6027\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4e3a\u4e86\u5bf9\u81ea\u5df1\u7684\u6539\u8fdb\u8fdb\u884c\u538b\u529b\u6d4b\u8bd5\uff0c OpenAI \u5728\u90e8\u7f72\u4e4b\u524d\u6839\u636e\u81ea\u5df1\u7684\u5b89\u5168\u51c6\u5907\u6846\u67b6\u8fdb\u884c\u4e86\u4e00\u7cfb\u5217\u5b89\u5168\u6d4b\u8bd5\u548c\u7ea2\u961f\u6d4b\u8bd5\u3002\u7ed3\u679c\u53d1\u73b0\uff0c\u601d\u7ef4\u94fe\u63a8\u7406\u6709\u52a9\u4e8e\u5728\u6574\u4e2a\u8bc4\u4f30\u8fc7\u7a0b\u4e2d\u63d0\u9ad8\u80fd\u529b\u3002\u5c24\u5176\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cOpenAI \u89c2\u5bdf\u5230\u4e86\u6709\u8da3\u7684\u5956\u52b1\u9ed1\u5ba2\u653b\u51fb\u5b9e\u4f8b\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u5b89\u5168\u51c6\u5907\u6846\u67b6\u94fe\u63a5\uff1ahttps:\/\/openai.com\/safety\/<\/p>\n<p>&nbsp;<\/p>\n<h4>6.\u9690\u85cf\u601d\u7ef4\u94fe<\/h4>\n<p>&nbsp;<\/p>\n<p>OpenAI \u8ba4\u4e3a\u9690\u85cf\u601d\u7ef4\u94fe\u4e3a\u76d1\u63a7\u6a21\u578b\u63d0\u4f9b\u4e86\u72ec\u7279\u7684\u673a\u4f1a\u3002\u5047\u8bbe\u5b83\u662f\u5fe0\u5b9e\u4e14\u6e05\u6670\u7684\uff0c\u9690\u85cf\u601d\u7ef4\u94fe\u4f7f\u5f97\u80fd\u591f\u300c\u8bfb\u61c2\u300d\u6a21\u578b\u7684\u601d\u60f3\u5e76\u4e86\u89e3\u5176\u601d\u7ef4\u8fc7\u7a0b\u3002\u4f8b\u5982\uff0c\u4eba\u4eec\u5c06\u6765\u53ef\u80fd\u5e0c\u671b\u76d1\u63a7\u601d\u7ef4\u94fe\u4ee5\u5bfb\u627e\u64cd\u63a7\u7528\u6237\u7684\u8ff9\u8c61\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4f46\u8981\u505a\u5230\u8fd9\u4e00\u70b9\uff0c\u6a21\u578b\u5fc5\u987b\u80fd\u591f\u81ea\u7531\u5730\u4ee5\u672a\u6539\u53d8\u7684\u5f62\u5f0f\u8868\u8fbe\u5176\u601d\u60f3\uff0c\u56e0\u6b64\u4e0d\u80fd\u5728\u601d\u7ef4\u94fe\u65b9\u9762\u8bad\u7ec3\u8fdb\u884c\u4efb\u4f55\u653f\u7b56\u5408\u89c4\u6027\u6216\u7528\u6237\u504f\u597d\u6027\u8bad\u7ec3\u3002OpenAI \u4e5f\u4e0d\u60f3\u8ba9\u7528\u6237\u76f4\u63a5\u770b\u5230\u4e0d\u4e00\u81f4\u7684\u601d\u7ef4\u94fe\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u56e0\u6b64\uff0c\u5728\u6743\u8861\u7528\u6237\u4f53\u9a8c\u3001\u7ade\u4e89\u4f18\u52bf\u548c\u8ffd\u6c42\u601d\u7ef4\u94fe\u76d1\u63a7\u7684\u9009\u9879\u7b49\u591a\u79cd\u56e0\u7d20\u540e\uff0cOpenAI \u51b3\u5b9a\u4e0d\u5411\u7528\u6237\u5c55\u793a\u539f\u59cb\u7684\u601d\u7ef4\u94fe\u3002OpenAI \u627f\u8ba4\u8fd9\u4e2a\u51b3\u5b9a\u6709\u4e0d\u597d\u7684\u5730\u65b9\uff0c\u56e0\u6b64\u52aa\u529b\u901a\u8fc7\u6559\u5bfc\u6a21\u578b\u5728\u7b54\u6848\u4e2d\u91cd\u73b0\u601d\u7ef4\u94fe\u4e2d\u7684\u4efb\u4f55\u6709\u7528\u60f3\u6cd5\u6765\u90e8\u5206\u5f25\u8865\u3002\u540c\u65f6\uff0c\u5bf9\u4e8e o1 \u6a21\u578b\u7cfb\u5217\uff0cOpenAI \u5c55\u793a\u4e86\u6a21\u578b\u751f\u6210\u7684\u601d\u7ef4\u94fe\u6458\u8981\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u53ef\u4ee5\u8bf4\uff0co1 \u663e\u8457\u63d0\u5347\u4e86 AI \u63a8\u7406\u7684\u6700\u65b0\u6c34\u5e73\u3002OpenAI \u8ba1\u5212\u5728\u4e0d\u65ad\u8fed\u4ee3\u7684\u8fc7\u7a0b\u4e2d\u53d1\u5e03\u6b64\u6a21\u578b\u7684\u6539\u8fdb\u7248\u672c\uff0c\u5e76\u671f\u671b\u8fd9\u4e9b\u65b0\u7684\u63a8\u7406\u80fd\u529b\u5c06\u63d0\u9ad8\u5c06\u6a21\u578b\u4e0e\u4eba\u7c7b\u4ef7\u503c\u89c2\u548c\u539f\u5219\u76f8\u7ed3\u5408\u7684\u80fd\u529b\u3002OpenAI \u76f8\u4fe1 o1 \u53ca\u5176\u540e\u7eed\u4ea7\u54c1\u5c06\u5728\u79d1\u5b66\u3001\u7f16\u7a0b\u3001\u6570\u5b66\u548c\u76f8\u5173\u9886\u57df\u4e3a AI \u89e3\u9501\u66f4\u591a\u65b0\u7528\u4f8b\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3>OpenAI o1-mini<\/h3>\n<p>&nbsp;<\/p>\n<p>o1 \u662f\u4e00\u4e2a\u7cfb\u5217\u6a21\u578b\u3002\u8fd9\u6b21 OpenAI \u8fd8\u4e00\u5e76\u53d1\u5e03\u4e86\u4e00\u4e2a mini \u7248 OpenAI o1-mini\u3002\u8be5\u516c\u53f8\u5728\u535a\u5ba2\u4e2d\u7ed9\u51fa\u4e86 preview \u548c mini \u7248\u7684\u4e0d\u540c\u5b9a\u4e49\uff1a\u300c\u4e3a\u4e86\u7ed9\u5f00\u53d1\u8005\u63d0\u4f9b\u66f4\u9ad8\u6548\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u6211\u4eec\u4e5f\u53d1\u5e03\u4e86 OpenAI o1-mini\uff0c\u8fd9\u662f\u4e00\u4e2a\u5c24\u5176\u64c5\u957f\u7f16\u7a0b\u7684\u66f4\u5feb\u3001\u66f4\u4fbf\u5b9c\u7684\u63a8\u7406\u6a21\u578b\u3002\u300d\u6574\u4f53\u6765\u770b\uff0co1-mini \u7684\u6210\u672c\u6bd4 o1-preview \u4f4e 80%\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u7531\u4e8e o1 \u7b49\u5927\u578b\u8bed\u8a00\u6a21\u578b\u662f\u5728\u5927\u91cf\u6587\u672c\u6570\u636e\u96c6\u4e0a\u9884\u8bad\u7ec3\uff0c\u867d\u7136\u5177\u6709\u5e7f\u6cdb\u4e16\u754c\u77e5\u8bc6\uff0c\u4f46\u5bf9\u4e8e\u5b9e\u9645\u5e94\u7528\u6765\u8bf4\uff0c\u53ef\u80fd\u6210\u672c\u9ad8\u6602\u4e14\u901f\u5ea6\u6162\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u76f8\u6bd4\u4e4b\u4e0b\uff0co1-mini \u662f\u4e00\u4e2a\u8f83\u5c0f\u7684\u6a21\u578b\uff0c\u5728\u9884\u8bad\u7ec3\u671f\u95f4\u9488\u5bf9 STEM \u63a8\u7406\u8fdb\u884c\u4e86\u4f18\u5316\u3002\u5728\u4f7f\u7528\u4e0e o1 \u76f8\u540c\u7684\u9ad8\u8ba1\u7b97\u5f3a\u5316\u5b66\u4e60 (RL) pipeline \u8fdb\u884c\u8bad\u7ec3\u540e\uff0c o1-mini \u5728\u8bb8\u591a\u6709\u7528\u7684\u63a8\u7406\u4efb\u52a1\u4e0a\u5b9e\u73b0\u4e86\u76f8\u5ab2\u7f8e\u7684\u6027\u80fd\uff0c\u540c\u65f6\u6210\u672c\u6548\u7387\u663e\u8457\u63d0\u9ad8\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u6bd4\u5982\u5728\u9700\u8981\u667a\u80fd\u548c\u63a8\u7406\u7684\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u4e0e o1-preview \u548c o1 \u76f8\u6bd4\uff0co1-mini \u8868\u73b0\u826f\u597d\u3002\u4f46\u5b83\u5728\u9700\u8981\u975e STEM \u4e8b\u5b9e\u77e5\u8bc6\u7684\u4efb\u52a1\u4e0a\u8868\u73b0\u8f83\u5dee\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s6.51cto.com\/oss\/202409\/13\/a93368147024c8f0de1055e24ebe8974c7d9eb.webp\" data-type=\"block\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>\u6570\u5b66\u80fd\u529b\uff1a\u5728\u9ad8\u4e2d AIME \u6570\u5b66\u7ade\u8d5b\u4e2d\uff0co1-mini (70.0%) \u4e0e o1 (74.4%) \u4e0d\u76f8\u4e0a\u4e0b\uff0c\u4f46\u4ef7\u683c\u5374\u4fbf\u5b9c\u5f88\u591a\uff0c\u5e76\u4e14\u4f18\u4e8e o1-preview (44.6%)\u3002o1-mini \u7684\u5f97\u5206\uff08\u7ea6 11\/15 \u4e2a\u95ee\u9898\uff09\u5927\u7ea6\u4f4d\u4e8e\u7f8e\u56fd\u524d 500 \u540d\u9ad8\u4e2d\u751f\u4e4b\u5217\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u7f16\u7801\u80fd\u529b\uff1a\u5728 Codeforces \u7ade\u8d5b\u7f51\u7ad9\u4e0a\uff0co1-mini \u7684 Elo \u5f97\u5206\u4e3a 1650\uff0c\u4e0e o1 (1673) \u4e0d\u76f8\u4e0a\u4e0b\uff0c\u5e76\u4e14\u9ad8\u4e8e o1-preview (1258)\u3002\u6b64\u5916\uff0co1-mini \u5728 HumanEval \u7f16\u7801\u57fa\u51c6\u548c\u9ad8\u4e2d\u7f51\u7edc\u5b89\u5168\u593a\u65d7\u6311\u6218 (CTF) \u4e2d\u4e5f\u8868\u73b0\u51fa\u8272\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>STEM\uff1a\u5728\u4e00\u4e9b\u9700\u8981\u63a8\u7406\u7684\u5b66\u672f\u57fa\u51c6\u4e0a\uff0c\u4f8b\u5982 GPQA\uff08\u79d1\u5b66\uff09\u548c MATH-500\uff0co1-mini \u7684\u8868\u73b0\u4f18\u4e8e GPT-4o\u3002o1-mini \u5728 MMLU \u7b49\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u5219\u4e0d\u5982 GPT-4o\uff0c\u5e76\u4e14\u7531\u4e8e\u7f3a\u4e4f\u5e7f\u6cdb\u7684\u4e16\u754c\u77e5\u8bc6\u800c\u5728 GPQA \u57fa\u51c6\u4e0a\u843d\u540e\u4e8e o1-preview\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4eba\u7c7b\u504f\u597d\u8bc4\u4f30\uff1aOpenAI \u8ba9\u4eba\u7c7b\u8bc4\u5206\u5458\u5728\u5404\u4e2a\u9886\u57df\u5177\u6709\u6311\u6218\u6027\u7684\u5f00\u653e\u5f0f\u63d0\u793a\u4e0a\u6bd4\u8f83 o1-mini \u548c GPT-4o\u3002\u4e0e o1-preview \u7c7b\u4f3c\uff0c\u5728\u63a8\u7406\u5bc6\u96c6\u578b\u9886\u57df\uff0co1-mini \u6bd4 GPT-4o \u66f4\u53d7\u6b22\u8fce\uff1b\u4f46\u5728\u4ee5\u8bed\u8a00\u4e3a\u4e2d\u5fc3\u7684\u9886\u57df\uff0co1-mini \u5e76\u4e0d\u6bd4 GPT-4o \u66f4\u53d7\u6b22\u8fce\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u5728\u901f\u5ea6\u5c42\u9762\uff0cOpenAI \u6bd4\u8f83\u4e86 GPT-4o\u3001o1-mini \u548c o1-preview \u5bf9\u4e00\u4e2a\u5355\u8bcd\u63a8\u7406\u95ee\u9898\u7684\u56de\u7b54\u3002\u7ed3\u679c\u663e\u793a\uff0cGPT-4o \u56de\u7b54\u4e0d\u6b63\u786e\uff0c\u800c o1-mini \u548c o1-preview \u5747\u56de\u7b54\u6b63\u786e\uff0c\u5e76\u4e14 o1-mini \u5f97\u51fa\u7b54\u6848\u7684\u901f\u5ea6\u5feb\u4e86\u5927\u7ea6 3-5 \u500d\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3>\u5982\u4f55\u4f7f\u7528 OpenAI o1\uff1f<\/h3>\n<p>&nbsp;<\/p>\n<p>ChatGPT Plus \u548c Team\uff08\u4e2a\u4eba\u4ed8\u8d39\u7248\u4e0e\u56e2\u961f\u7248\uff09\u7528\u6237\u9a6c\u4e0a\u5c31\u53ef\u4ee5\u5728\u8be5\u516c\u53f8\u7684\u804a\u5929\u673a\u5668\u4eba\u4ea7\u54c1 ChatGPT \u4e2d\u5f00\u59cb\u4f7f\u7528 o1 \u6a21\u578b\u4e86\u3002\u4f60\u53ef\u4ee5\u624b\u52a8\u9009\u53d6\u4f7f\u7528 o1-preview \u6216 o1-mini\u3002\u4e0d\u8fc7\uff0c\u7528\u6237\u7684\u4f7f\u7528\u91cf\u6709\u9650\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u76ee\u524d\uff0c\u6bcf\u4f4d\u7528\u6237\u6bcf\u5468\u4ec5\u80fd\u7ed9 o1-preview \u53d1\u9001 30 \u6761\u6d88\u606f\uff0c\u7ed9 o1-mini \u53d1\u9001 50 \u6761\u6d88\u606f\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u662f\u7684\uff0c\u5f88\u5c11\uff01\u4e0d\u8fc7 OpenAI \u8868\u793a\u6b63\u5728\u52aa\u529b\u63d0\u5347\u7528\u6237\u7684\u53ef\u4f7f\u7528\u6b21\u6570\uff0c\u5e76\u8ba9 ChatGPT \u80fd\u81ea\u52a8\u9488\u5bf9\u7ed9\u5b9a\u63d0\u793a\u8bcd\u9009\u62e9\u4f7f\u7528\u5408\u9002\u7684\u6a21\u578b\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u81f3\u4e8e\u4f01\u4e1a\u7248\u548c\u6559\u80b2\u7248\u7528\u6237\uff0c\u8981\u5230\u4e0b\u5468\u624d\u80fd\u5f00\u59cb\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6a21\u578b\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u81f3\u4e8e\u901a\u8fc7 API \u8bbf\u95ee\u7684\u7528\u6237\uff0cOpenAI \u8868\u793a\u8fbe\u5230\u4e86 5 \u7ea7 API \u4f7f\u7528\u91cf\u7684\u5f00\u53d1\u8005\u53ef\u4ee5\u5373\u523b\u5f00\u59cb\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6a21\u578b\u5f00\u59cb\u5f00\u53d1\u5e94\u7528\u539f\u578b\uff0c\u4f46\u540c\u6837\u4e5f\u88ab\u9650\u4e86\u901f\uff1a20 RPM\u3002\u4ec0\u4e48\u662f 5 \u7ea7 API \u4f7f\u7528\u91cf\uff1f\u7b80\u5355\u6765\u8bf4\uff0c\u5c31\u662f\u5df2\u7ecf\u6d88\u8d39\u4e86 1000 \u7f8e\u5143\u4ee5\u4e0a\u5e76\u4e14\u5df2\u7ecf\u662f\u8d85\u8fc7 1 \u4e2a\u6708\u7684\u4ed8\u8d39\u7528\u6237\u3002\u8bf7\u770b\u4e0b\u56fe\uff1a<\/p>\n<p>&nbsp;<\/p>\n<p>OpenAI \u8868\u793a\u5bf9\u8fd9\u4e24\u4e2a\u6a21\u578b\u7684 API \u8c03\u7528\u5e76\u4e0d\u5305\u542b\u51fd\u6570\u8c03\u7528\u3001\u6d41\u5f0f\u4f20\u8f93\uff08streaming\uff09\u3001\u7cfb\u7edf\u652f\u6301\u6d88\u606f\u7b49\u529f\u80fd\u3002\u540c\u6837\uff0cOpenAI \u8868\u793a\u6b63\u5728\u52aa\u529b\u63d0\u5347\u8fd9\u4e9b\u9650\u5236\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3>\u672a\u6765<\/h3>\n<p>&nbsp;<\/p>\n<p>OpenAI \u8868\u793a\uff0c\u672a\u6765\u9664\u4e86\u6a21\u578b\u66f4\u65b0\u4e4b\u5916\uff0c\u8fd8\u5c06\u589e\u52a0\u7f51\u7edc\u6d4f\u89c8\u3001\u6587\u4ef6\u548c\u56fe\u50cf\u4e0a\u4f20\u7b49\u529f\u80fd\uff0c\u4ee5\u8ba9\u8fd9\u4e9b\u6a21\u578b\u53d8\u5f97\u66f4\u52a0\u6709\u7528\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u300c\u9664\u4e86\u65b0\u7684 o1 \u7cfb\u5217\u6a21\u578b\uff0c\u6211\u4eec\u8ba1\u5212\u7ee7\u7eed\u5f00\u53d1\u548c\u53d1\u5e03\u6211\u4eec\u7684 GPT \u7cfb\u5217\u6a21\u578b\u3002\u300d<\/p>\n<\/div>\n<\/div>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_22180\" class=\"pvc_stats total_only  \" data-element-id=\"22180\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" viewBox=\"0 0 502 315\" preserveAspectRatio=\"xMidYMid meet\"><g transform=\"translate(0,332) scale(0.1,-0.1)\" fill=\"\" stroke=\"none\"><path d=\"M2394 3279 l-29 -30 -3 -207 c-2 -182 0 -211 15 -242 39 -76 157 -76 196 0 15 31 17 60 15 243 l-3 209 -33 29 c-26 23 -41 29 -80 29 -41 0 -53 -5 -78 -31z\"\/><path d=\"M3085 3251 c-45 -19 -58 -50 -96 -229 -47 -217 -49 -260 -13 -295 52 -53 146 -42 177 20 16 31 87 366 87 410 0 70 -86 122 -155 94z\"\/><path d=\"M1751 3234 c-13 -9 -29 -31 -37 -50 -12 -29 -10 -49 21 -204 19 -94 39 -189 45 -210 14 -50 54 -80 110 -80 34 0 48 6 76 34 21 21 34 44 34 59 0 14 -18 113 -40 219 -37 178 -43 195 -70 221 -36 32 -101 37 -139 11z\"\/><path d=\"M1163 3073 c-36 -7 -73 -59 -73 -102 0 -56 133 -378 171 -413 34 -32 83 -37 129 -13 70 36 67 87 -16 290 -86 209 -89 214 -129 231 -35 14 -42 15 -82 7z\"\/><path d=\"M3689 3066 c-15 -9 -33 -30 -42 -48 -48 -103 -147 -355 -147 -375 0 -98 131 -148 192 -74 13 15 57 108 97 206 80 196 84 226 37 273 -30 30 -99 39 -137 18z\"\/><path d=\"M583 2784 c-38 -19 -67 -74 -58 -113 9 -42 211 -354 242 -373 16 -10 45 -18 66 -18 51 0 107 52 107 100 0 39 -1 41 -124 234 -80 126 -108 162 -133 173 -41 17 -61 16 -100 -3z\"\/><path d=\"M4250 2784 c-14 -9 -74 -91 -133 -183 -95 -150 -107 -173 -107 -213 0 -55 33 -94 87 -104 67 -13 90 8 211 198 130 202 137 225 78 284 -27 27 -42 34 -72 34 -22 0 -50 -8 -64 -16z\"\/><path d=\"M2275 2693 c-553 -48 -1095 -270 -1585 -649 -135 -104 -459 -423 -483 -476 -23 -49 -22 -139 2 -186 73 -142 361 -457 571 -626 285 -228 642 -407 990 -497 242 -63 336 -73 660 -74 310 0 370 5 595 52 535 111 1045 392 1455 803 122 121 250 273 275 326 19 41 19 137 0 174 -41 79 -309 363 -465 492 -447 370 -946 591 -1479 653 -113 14 -422 18 -536 8z m395 -428 c171 -34 330 -124 456 -258 112 -119 167 -219 211 -378 27 -96 24 -300 -5 -401 -72 -255 -236 -447 -474 -557 -132 -62 -201 -76 -368 -76 -167 0 -236 14 -368 76 -213 98 -373 271 -451 485 -162 444 86 934 547 1084 153 49 292 57 452 25z m909 -232 c222 -123 408 -262 593 -441 76 -74 138 -139 138 -144 0 -16 -233 -242 -330 -319 -155 -123 -309 -223 -461 -299 l-81 -41 32 46 c18 26 49 83 70 128 143 306 141 649 -6 957 -25 52 -61 116 -79 142 l-34 47 45 -20 c26 -10 76 -36 113 -56z m-2057 25 c-40 -58 -105 -190 -130 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