{"id":12633,"date":"2025-02-13T16:54:16","date_gmt":"2025-02-13T08:54:16","guid":{"rendered":"https:\/\/ihower.tw\/blog\/?p=12633"},"modified":"2025-07-04T07:41:58","modified_gmt":"2025-07-03T23:41:58","slug":"aie-deep","status":"publish","type":"post","link":"https:\/\/ihower.tw\/blog\/12633-aie-deep","title":{"rendered":"\u611b\u597d AI Engineer \u96fb\u5b50\u5831 \ud83d\ude80 \u5c31\u662f\u6709\u6df1\u5ea6 DeepSeek R1 \u548c OpenAI Deep Research #23"},"content":{"rendered":"\n<p>Hello! \u5404\u4f4d AI \u958b\u767c\u8005\u5927\u5bb6\u597d \ud83d\udc4b<\/p>\n\n\n\n<p>\u6211\u662f ihower\uff0c\u9019\u6b21\u904e\u5e74\u597d\u5fd9\uff0c\u53c8\u662f DeepSeek R1 \u53c8\u662f OpenAI o3-mini\uff0c\u771f\u662f\u6625\u6372\u554a \ud83c\udf2f\ud83c\udf2f\ud83c\udf2f<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd1d <a href=\"https:\/\/www.youtube.com\/watch?v=dWr1eTeK6p4\">AI \u5927\u795e\u514d\u8cbb\u6df1\u5165\u6dfa\u51fa\u5168\u9762\u8b1b\u89e3\u5927\u578b\u8a9e\u8a00\u6a21\u578b\u3001\u8a13\u7df4\u3001\u5fc3\u7406\u5b78\u5230\u5be6\u969b\u61c9\u7528<\/a><\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/listmonk.aihao.tw\/uploads\/Xnip2025-02-03_13-27-07_KXHZjC.jpg\" alt=\"cover\"\/><\/figure>\n\n\n\n<p>\u5927\u795e Andrej Karpathy (\u524d OpenAI \u5171\u540c\u5275\u8fa6\u4eba\u3001\u7279\u65af\u62c9\u4eba\u5de5\u667a\u6167\u7e3d\u76e3) \u5beb\u7684\u9019\u500b LLM \u6a21\u578b\u8a13\u7df4\u7684\u6bd4\u55bb(<a href=\"https:\/\/x.com\/karpathy\/status\/1885026028428681698\">\u51fa\u8655 tweet<\/a>)\u592a\u8b9a\u4e86\uff0c\u9019\u88e1\u7ffb\u8b6f\u5206\u4eab\u7d66\u5927\u5bb6:<\/p>\n\n\n\n<p>\u8b93\u5927\u578b\u8a9e\u8a00\u6a21\u578b (LLMs) \u53bb\u4e0a\u5b78:<\/p>\n\n\n\n<p>\u7576\u4f60\u6253\u958b\u4efb\u4f55\u4e00\u672c\u6559\u79d1\u66f8\u6642\uff0c\u4f60\u6703\u770b\u5230\u4e09\u7a2e\u985e\u578b\u7684\u4e3b\u8981\u5167\u5bb9\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u80cc\u666f\u8cc7\u8a0a\/\u89e3\u8aaa: \u9019\u90e8\u5206\u662f\u6559\u79d1\u66f8\u7684\u4e3b\u8981\u5167\u5bb9\uff0c\u7528\u4f86\u89e3\u91cb\u5404\u7a2e\u6982\u5ff5\u3002\u7576\u4f60\u5c08\u6ce8\u95b1\u8b80\u6642\uff0c\u5927\u8166\u6b63\u5728\u628a\u9019\u4e9b\u5167\u5bb9\u9032\u884c\u5b78\u7fd2\u8207\u8a13\u7df4\u3002\u9019\u5c31\u76f8\u7576\u65bc\u300c\u9810\u8a13\u7df4\u300d(pretraining)\uff0c\u6a21\u578b\u900f\u904e\u95b1\u8b80\u7db2\u8def\u8cc7\u6599\uff0c\u7d2f\u7a4d\u80cc\u666f\u77e5\u8b58\u3002<\/li>\n\n\n\n<li>\u6709\u89e3\u7b54\u904e\u7a0b\u7684\u7bc4\u4f8b\u984c: \u9019\u4e9b\u662f\u5c08\u5bb6\u5982\u4f55\u89e3\u984c\u7684\u5177\u9ad4\u6848\u4f8b\uff0c\u793a\u7bc4\u7d66\u5b78\u751f\u4f86\u6a21\u4eff\u5b78\u7fd2\u3002\u5c0d\u6a21\u578b\u4f86\u8aaa\uff0c\u9019\u5c31\u76f8\u7576\u65bc\u300c\u76e3\u7763\u5f0f\u5fae\u8abf\u300d(supervised finetuning\uff0c\u7e2e\u5beb\u662f SFT)\uff0c\u4e5f\u5c31\u662f\u8b93\u6a21\u578b\u6839\u64da\u4eba\u985e\u64b0\u5beb\u7684\u300c\u7406\u60f3\u56de\u8986\u300d\u4f86\u505a\u5fae\u8abf\uff0c\u4f86\u63d0\u5347\u4f5c\u70ba AI \u52a9\u7406\u7684\u8868\u73fe\u3002<\/li>\n\n\n\n<li>\u7df4\u7fd2\u984c: \u9019\u4e9b\u662f\u7d66\u5b78\u751f\u7684\u7df4\u7fd2\u984c\u76ee\uff0c\u901a\u5e38\u4e0d\u6703\u63d0\u4f9b\u89e3\u984c\u904e\u7a0b\uff0c\u4f46\u90fd\u6703\u9644\u4e0a\u6700\u7d42\u7b54\u6848\u3002\u6bcf\u7ae0\u6700\u5f8c\u901a\u5e38\u6703\u6709\u5927\u91cf\u9019\u7a2e\u984c\u76ee\uff0c\u76ee\u7684\u5728\u65bc\u8b93\u5b78\u751f\u900f\u904e\u53cd\u8986\u5617\u8a66\u4f86\u5b78\u7fd2 &#8211; \u5b78\u751f\u5fc5\u9808\u5617\u8a66\u5404\u7a2e\u65b9\u6cd5\u624d\u80fd\u5f97\u5230\u6b63\u78ba\u7b54\u6848\u3002\u5c0d\u6a21\u578b\u800c\u8a00\uff0c\u9019\u76f8\u7576\u65bc\u300c\u5f37\u5316\u5b78\u7fd2\u300d(reinforcement learning\uff0c\u7e2e\u5beb\u662f RL)<\/li>\n<\/ol>\n\n\n\n<p>\u76ee\u524d\u6211\u5011\u5df2\u7d93\u8b93\u6a21\u578b\u63a5\u53d7\u5927\u91cf\u7684\u7b2c 1 \u985e(\u80cc\u666f\u77e5\u8b58) \u548c\u7b2c 2 \u985e(\u7bc4\u4f8b\u5b78\u7fd2)\u8a13\u7df4\uff0c\u4f46\u7b2c 3 \u985e(\u7df4\u7fd2\u8207\u8a66\u8aa4\u5b78\u7fd2) \u4ecd\u7136\u662f\u500b\u65b0\u8208\u9010\u6f38\u958b\u5c55\u7684\u65b0\u9818\u57df\u3002<br>\u7576\u6211\u5011\u70ba\u6a21\u578b\u5efa\u7acb\u8a13\u7df4\u8cc7\u6599\u96c6\u6642\uff0c\u672c\u8cea\u4e0a\u8207\u64b0\u5beb\u6559\u79d1\u66f8\u4e26\u7121\u4e0d\u540c\uff0c\u9700\u8981\u540c\u6642\u5305\u542b\u9019\u4e09\u7a2e\u985e\u578b\u7684\u8cc7\u6599\u3002\u5b83\u5011\u5fc5\u9808\u5148\u95b1\u8b80\uff0c\u7136\u5f8c\u518d\u505a\u5927\u91cf\u7df4\u7fd2\u3002<\/p>\n\n\n\n<p>\u5927\u795e\u9084\u63a5\u8457\u9304\u4e86\u4e09\u500b\u591a\u5c0f\u6642\u7684<a href=\"https:\/\/www.youtube.com\/watch?v=dWr1eTeK6p4\">\u6559\u5b78\u5f71\u7247<\/a>\uff0c\u514d\u8cbb\u6df1\u5165\u6dfa\u51fa\u5168\u9762\u8b1b\u89e3\u5927\u578b\u8a9e\u8a00\u6a21\u578b\u3001\u8a13\u7df4\u3001\u5fc3\u7406\u5b78\u5230\u5be6\u969b\u61c9\u7528\uff01<br>\u9019\u88e1\u611f\u6069 <a href=\"https:\/\/www.facebook.com\/hinet\/posts\/10161332490013318\">Fox \u5927\u5927<\/a>\u7ffb\u8b6f\u7e41\u9ad4\u4e2d\u6587\u5b57\u5e55\u3002<\/p>\n\n\n\n<!--more-->\n\n\n\n<h3 class=\"wp-block-heading\">\ud83e\udde0 <a href=\"https:\/\/stratechery.com\/2025\/deepseek-faq\/\">DeepSeek FAQ<\/a><\/h3>\n\n\n\n<p>\u8fd1\u671f DeepSeek \u5f15\u8d77\u4e86\u5f88\u5927\u7684\u8a71\u984c\uff0c\u9019\u4efd Ben Thompson \u6574\u7406\u7684 DeepSeek FAQ \u975e\u5e38\u4e0d\u932f\u3002<br>\u9019\u6709<a href=\"https:\/\/readwise.io\/reader\/shared\/01jjp0ah8n6d4gp8cq2trfkxpt\/\">\u7e41\u9ad4\u4e2d\u6587\u7ffb\u8b6f\u7248\u672c<\/a><\/p>\n\n\n\n<p>\u5e03\u4e01\u5927\u5927\u4e5f\u5c55\u958b\u4e86\u57fa\u65bc R1 \u7684<a href=\"https:\/\/ocf.oen.tw\/project\/page\/2slL2ECk2fdKNdNdUcVbetlvk7k\">\u300c\u53f0\u7063\u88fd\u9020\u300d\u5927\u578b\u8a9e\u8a00\u6a21\u578b\u8a08\u5283<\/a>\uff0c\u6b61\u8fce\u652f\u6301\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udc4d <a href=\"https:\/\/sebastianraschka.com\/blog\/2025\/understanding-reasoning-llms.html\">Reasoning Model \u662f\u5982\u4f55\u7df4\u6210\u7684?<\/a><\/h3>\n\n\n\n<p>Sebastian Raschka \u662f <a href=\"https:\/\/github.com\/rasbt\/LLMs-from-scratch\">Build a Large Language Model (from Scratch)<\/a> \u4e00\u66f8\u7684\u4f5c\u8005\uff0c<a href=\"https:\/\/www.tenlong.com.tw\/products\/9789863128236\">\u7e41\u9ad4\u4e2d\u6587\u7ffb\u8b6f\u7248<\/a>\u5929\u74cf\u66f8\u5e97\u6709\u552e\u3002<\/p>\n\n\n\n<p>\u9019\u7bc7\u975e\u5e38\u68d2\u7684\u6587\u7ae0\u63a2\u8a0e\u4e86\u56db\u7a2e\u4e0d\u540c\u7b56\u7565\u4f86\u5efa\u7acb\u63a8\u7406\u6a21\u578b\uff0c\u7279\u5225\u662f\u5c0d\u65bc DeepSeek R1 \u662f\u5982\u4f55\u8a13\u7df4\u6210\u63a8\u7406\u6a21\u578b\uff0c\u662f\u6211\u770b\u5230\u6700\u68d2\u7684\u8b1b\u89e3\u3002<br>\u4e0d\u904e\u5462\uff0c\u5c0d\u65bc\u6587\u7ae0\u4e2d\u731c\u6e2c\u7684 OpenAI o1 \u505a\u6cd5\uff0c\u6211\u500b\u4eba\u6709\u770b\u5230 RL \u5c08\u5bb6 Nathan Lambert \u6301\u6709\u4e0d\u540c\u770b\u6cd5\uff0c\u8a73\u898b <a href=\"https:\/\/www.interconnects.ai\/p\/openais-o1-using-search-was-a-psyop\">OpenAI&#8217;s o1 using &#8220;search&#8221; was a PSYOP<\/a> \u548c <a href=\"https:\/\/www.youtube.com\/watch?v=skT89EvIjrc\">the State of Reasoning<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcda <a href=\"https:\/\/agi.safe.ai\/\">DeepSeek R1 \u548c o3-mini \u767c\u5e03\u8003\u8a66\u6210\u7e3e<\/a><\/h3>\n\n\n\n<p>OpenAI o3-mini \u8d95\u5728\u7576\u521d Sam Altman \u8aaa\u597d\u7684\u4e00\u6708\u5e95\u7684\u6700\u5f8c\u4e00\u5929\u767c\u5e03\u4e86\uff0c\u5169\u500b\u6211\u6bd4\u8f03\u95dc\u6ce8\u7684 benchmark \u8003\u8a66\u6210\u7e3e\u4e5f\u51fa\u7210\u4e86:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/livebench.ai\/\">LiveBench<\/a>: o3-mini high \u6392\u7b2c\u4e00\uff0c\u4e26\u4e14 coding \u9019\u9805\u7684\u5206\u6578\u8d85\u9ad8 \ud83e\udd29<\/li>\n\n\n\n<li><a href=\"https:\/\/agi.safe.ai\/\">Humanity&#8217;s Last Exam (HLE)<\/a> \u4eba\u985e\u7684\u6700\u5f8c\u8003\u8a66: o3-mini \u596a\u56de\u7b2c\u4e00\u540d\u4e86\uff0c\u4e0d\u904e\u4ecd\u53ea\u6709 13% \u7b54\u5c0d\u7387<\/li>\n<\/ul>\n\n\n\n<p>LiveBench \u6bcf\u6708\u90fd\u6703\u66f4\u65b0\u554f\u984c\u96c6(\u4f86\u81ea\u6700\u65b0\u7684\u8cc7\u6599\uff0c\u4f8b\u5982\u65b0\u805e\u3001\u8ad6\u6587\u3001\u96fb\u5f71\u7b49)\uff0c\u56e0\u6b64\u5404\u5bb6\u6a21\u578b\u5728\u8a13\u7df4\u6642\u662f\u7121\u6cd5\u5148\u80cc\u8d77\u4f86\u7684\u3002\u5340\u5206 6 \u7a2e\u985e\u5225\u4e26\u5c07\u96a8\u8457\u6642\u9593\u7684\u63a8\u79fb\u767c\u5e03\u66f4\u65b0\u66f4\u96e3\u7684\u4efb\u52d9\u3002<\/p>\n\n\n\n<p>HLE \u5247\u662f\u4e0a\u500b\u6708 Scale AI \u767c\u5e03\u7684\u6700\u65b0 AI benchmark\uff0c\u8003\u7684\u662f\u4eba\u985e\u5c08\u5bb6\u7d1a\u77e5\u8b58\u9818\u57df(\u504f\u5b78\u8853)\u7684\u6975\u9650\u8868\u73fe\u3002\u6709 3000 \u984c\u6587\u5b57\u548c\u591a\u6a21\u614b(\u5716\u50cf)\u7684\u539f\u5275\u53ef\u9a57\u8b49\u984c\u76ee\uff0c\u805a\u7126\u5728\u77e5\u8b58\u548c\u63a8\u7406\u80fd\u529b\uff0c\u4e26\u4e14\u6709\u516c\u958b\u8ddf\u975e\u516c\u958b\u7684 dataset \u4ee5\u907f\u514d\u6a21\u578b\u4e8b\u5148\u80cc\u66f8\u3002<\/p>\n\n\n\n<p>\u4e0d\u904e\u6ce8\u610f\u5230 OpenAI o3-mini \u8ddf DeepSeek R1 \u90fd\u4e0d\u662f\u591a\u6a21\u614b\u6a21\u578b\uff0c\u56e0\u6b64 HLE \u53ea\u80fd\u8003\u5176\u4e2d\u7684\u7d14\u6587\u5b57\u554f\u984c\u3002\u6211\u5728 paper \u9644\u9304\u4e2d\u6709\u627e\u5230\u5176\u4ed6\u6a21\u578b\u4e5f\u53ea\u8003\u7d14\u6587\u5b57\u7684\u5206\u6578\uff0c\u6392\u540d\u662f\u4e00\u6a23\u9806\u5e8f\u3002<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162019589418971\">Facebook<\/a> \u8cbc\u6587\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcca <a href=\"https:\/\/ihower.tw\/notes\/the-problem-with-reasoners\">\u5f37\u5316\u5b78\u7fd2(RL)\u5f88\u795e\u5947\uff0c\u76f4\u5230\u5b83\u6c92\u90a3\u9ebc\u795e: \u63a2\u8a0e\u63a8\u7406\u6a21\u578b\u7684\u56f0\u5883<\/a><\/h3>\n\n\n\n<p>\u6700\u8fd1\u56e0\u70ba DeepSeek R1 \u7684\u95dc\u4fc2\uff0c\u883b\u591a\u4eba\u5728\u8b1b\u9019\u662f LLM \u7684 AlphaGo \u6642\u523b\uff0c\u4f7f\u7528\u5f37\u5316\u5b78\u7fd2(Reinforcement learning) \u8b93 AI \u53ef\u4ee5\u81ea\u6211\u5347\u7d1a\u8d85\u8d8a\u4eba\u985e\u3002<\/p>\n\n\n\n<p>\u7684\u78ba\uff0c\u6700\u65b0\u7684\u63a8\u7406\u6a21\u578b (OpenAI o1, o3, DeepSeek R1 \u7b49) \u5728\u63a8\u7406\u3001\u6578\u5b78\u548c\u7a0b\u5f0f\u8a2d\u8a08\u7b49\u7406\u7d44\u554f\u984c\u4e0a\u8868\u73fe\u6709\u6240\u7a81\u7834\uff0c\u4f46\u662f\u6587\u7d44\u5beb\u4f5c\u80fd\u529b\u4f3c\u4e4e\u5c31\u6c92\u4ec0\u9ebc\u63d0\u5347\u554a?<\/p>\n\n\n\n<p>\u8aaa\u8d77\u4f86 RL \u4e5f\u4e0d\u662f\u65b0\u7684\u7406\u8ad6\uff0c\u9019\u4e0d\u7981\u8b93\u6211\u61f7\u7591\u8d77\u4f86\uff0c\u7528 RL \u5728 LLM \u4e0a\u771f\u7684\u53ef\u4ee5\u9019\u9ebc\u5e78\u798f\u55ce? \u8d81\u9023\u5047\u6d88\u5316\u4e86\u4e00\u5806\u66f8\u7c64\u4e2d\uff0c\u6488\u5230\u53bb\u5e74\u5e95 The Problem with Reasoners \u9019\u7bc7\u6587\u7ae0\u89ba\u5f97\u5f88\u8b9a\u3002\u4f5c\u8005 Aidan McLaughlin \u4eca\u5e74\u8d77\u5728 OpenAI \u4efb\u8077\u505a Model Design\uff0c\u9019\u7bc7\u6587\u7ae0\u64b0\u5beb\u65bc\u53bb\u5e7411\u6708(\u7576\u6642\u5df2\u6709 o1-preview \u548c DeepSeek-R1-Lite-Preview)<\/p>\n\n\n\n<p><a href=\"https:\/\/ihower.tw\/notes\/the-problem-with-reasoners\">\u5168\u6587\u7ffb\u8b6f\u5728\u6b64<\/a>\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e9b\u91cd\u9ede\u6458\u8981:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>RL \u7684\u9b54\u529b\u5728\u65bc: \u4f60\u53ea\u8981\u5efa\u7acb\u4e00\u500b\u74b0\u5883\uff0c\u8a2d\u5b9a\u4e00\u500b\u76ee\u6a19\u734e\u52f5\u51fd\u6578\uff0c\u5c31\u53ef\u4ee5\u770b\u8457\u4e00\u500b\u53ef\u611b\u7684\u5c0f\u4ee3\u7406\u4eba\u4e00\u8def\u885d\u5230\u8d85\u8d8a\u4eba\u985e\u6280\u80fd<\/li>\n\n\n\n<li>\u63a8\u7406\u6a21\u578b(Reasoning model)\u672c\u8cea\u4e0a\u662f\u7528\u5f37\u5316\u5b78\u7fd2(RL)\u8a13\u7df4\u51fa\u4f86\u7684\u6a21\u578b<\/li>\n\n\n\n<li>\u662f\u57fa\u65bc GPT-4 \u7b49\u57fa\u790e\u6a21\u578b\uff0c\u4f7f\u7528\u5927\u91cf&#8221;\u53ef\u4ee5\u9a57\u8b49&#8221;\u7b54\u6848\u7684\u554f\u984c\uff0c\u642d\u914d\u5408\u6210\u7684 CoT \u63a8\u7406\u6b65\u9a5f\u4f86\u505a RL (\u8a3b\uff0c\u9019\u500b\u6d41\u7a0b\u53ef\u4ee5\u53c3\u8003 DeepSeek R1 paper \u6709\u516c\u958b\u7684\u914d\u65b9)<\/li>\n\n\n\n<li>\u7279\u5225\u9069\u5408\u6709\u6e05\u6670\u56de\u994b\u7684\u9818\u57df(\u5982\u6578\u5b78\u3001\u7a0b\u5f0f\u8a2d\u8a08)<\/li>\n<\/ul>\n\n\n\n<p>\u6cdb\u5316\u80fd\u529b\u6709\u4fb7\u9650:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4f46\u662f\u96e3\u4ee5\u6cdb\u5316\u5230\u8a13\u7df4\u9818\u57df\u4ee5\u5916\uff0c\u5728\u5beb\u4f5c\u7b49\u9818\u57df\u8868\u73fe\u53cd\u800c\u4e0d\u5982 gpt-4o<\/li>\n\n\n\n<li>\u5728\u60c5\u7dd2\u7406\u89e3\u80fd\u529b\u4e0a\uff0c\u751a\u81f3\u50c5\u8207\u8f03\u5c0f\u7684\u6a21\u578b\u76f8\u7576<\/li>\n\n\n\n<li>\u82e5\u4f60\u7121\u6cd5\u8490\u96c6\u5230\u5e7e\u4e4e\u7121\u76e1\u7684\u7df4\u7fd2\u984c\u548c\u5224\u5b9a\u6a5f\u5236\uff0c\u5c31\u6c92\u6cd5\u5145\u5206\u5229\u7528\u5b83\u7684\u63a8\u7406\u6027\u80fd<\/li>\n<\/ul>\n\n\n\n<p>\u9577\u6642\u9593\u63a8\u7406\u7684\u80fd\u529b\u6709\u9650\u5236:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u76ee\u524d\u89c0\u5bdf\u5230\u7684 o1-mini\/preview \u6700\u9577\u7684\u601d\u8003\u4e5f\u5c31 1 \u842c\u591a\u500b tokens (\u76f8\u7576\u65bc\u4eba\u985e\u82b1\u5e7e\u500b\u5c0f\u6642\u5beb\u7684\u5167\u5bb9)\u3002\u9019\u807d\u8d77\u4f86\u5f88\u53b2\u5bb3\uff0c\u4f46\u82e5\u76ee\u6a19\u662f\u6253\u9020\u300c\u8d85\u7d1a\u667a\u6167\u300d\uff0c\u6211\u5011\u9700\u8981\u7684\u662f\u76f8\u7576\u65bc\u300c\u4eba\u985e\u601d\u8003\u5e7e\u767e\u5e74\u300d\u7684\u63a8\u7406<\/li>\n\n\n\n<li>\u5982\u679c\u8981\u8a13\u7df4\u898f\u6a21\u66f4\u5927\u7684 RL \u624d\u80fd\u8b93\u6a21\u578b\u63a8\u7406\u66f4\u9577\uff0c\u90a3\u5c31\u5931\u53bb\u300c\u8abf\u6574\u63a8\u7406\u8a08\u7b97\u91cf (inference compute)\u300d\u7684\u610f\u7fa9<\/li>\n\n\n\n<li>\u56e0\u70ba\u8abf\u6574\u63a8\u7406\u8a08\u7b97\u91cf\u7684\u76ee\u6a19\u4e4b\u4e00\u662f\uff1a\u82e5\u60f3\u8981\u5c0d\u554f\u984c\u5206\u6790\u66f4\u5fb9\u5e95\u5f97\u5230\u66f4\u597d\u7684\u7b54\u6848\uff0c\u53ef\u4ee5\u76f4\u63a5\u628a AI \u7684\u63a8\u7406\u6642\u9593\u62c9\u9577\uff0c\u4e0d\u9700\u8981\u7b49\u4e0b\u4e00\u4ee3\u6a21\u578b\u554f\u4e16\u3002\u9019\u53ef\u4ee5\u8aaa\u662f\u300c\u9810\u652f\u672a\u4f86\u300d\u3002\u7136\u800c\u82e5\u8981\u89e3\u9396\u66f4\u591a\u63a8\u7406\u6df1\u5ea6\uff0c\u537b\u5f97\u7b49\u66f4\u5f37\u7684 RL \u8a13\u7df4\u4f86\u5b8c\u6210\uff0c\u90a3\u4f60\u5c31\u53c8\u5f97\u7b49\u5f85\u66f4\u5f37\u7684\u6a21\u578b\u63a8\u51fa\u2026.<\/li>\n\n\n\n<li>\u800c\u4e14\u64f4\u5927 RL \u898f\u6a21\u5728\u4e00\u500b\u56fa\u5b9a\u5927\u5c0f\u7684\u6a21\u578b\u4e0a\u5f80\u5f80\u6703\u72a7\u7272\u5176\u4ed6\u80fd\u529b\uff0c\u8981\u8b93 o3 \u601d\u8003\u4e00\u767e\u842c\u500b tokens\uff0c\u6216\u8a31\u5f97\u4ed8\u51fa\u300c\u9664\u4e86\u6578\u5b78\u5176\u5b83\u90fd\u4e0d\u6703\u300d\u7684\u4ee3\u50f9<\/li>\n<\/ul>\n\n\n\n<p>\u66f4\u5927\u7684\u7522\u696d\u555f\u793a:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5927\u578b\u6a21\u578b\u7684\u9810\u8a13\u7df4\u64f4\u5c55\u9047\u5230\u74f6\u9838\uff0c\u73fe\u6cc1\u4e0d\u5bb9\u6a02\u89c0\uff0c\u73fe\u5728\u5927\u5bb6\u90fd\u8f49\u800c\u947d\u7814\u5982\u4f55\u8907\u88fd o1\uff0c\u4f7f\u7528 RL \u63d0\u5347\u63a8\u7406\u80fd\u529b<\/li>\n\n\n\n<li>\u5047\u5982\u4f60\u4e0d\u662f\u6578\u5b78\u5bb6\u6216 Leetcode \u795e\u4eba\uff0c\u4f60\u61c9\u8a72\u66f4\u95dc\u5fc3\u90a3\u4e9b\u300c\u7121\u6cd5\u8f15\u6613\u9a57\u8b49\u300d\u7684\u9818\u57df\u3002\u82e5\u6211\u5011\u53ea\u5efa\u9020\u66f4\u5f37\u7684 reasoners\uff0c\u800c\u4e0d\u589e\u5927\u6a21\u578b\u898f\u6a21\uff0cAI \u5728\u4ee5\u4e0b\u9019\u4e9b\u9818\u57df\u53ef\u80fd\u5c31\u6c38\u9060\u505c\u7559\u5728 GPT-4 \u7684\u6c34\u6e96\uff1a<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u7d66\u4f01\u696d\u505a\u7b56\u7565\u5efa\u8b70<\/li>\n\n\n\n<li>\u5b89\u64ab\u5fc3\u9748\u53d7\u50b7\u7684\u670b\u53cb<\/li>\n\n\n\n<li>\u7d66\u653f\u5e9c\u63d0\u4f9b\u5efa\u8b70<\/li>\n\n\n\n<li>\u5beb\u51fa\u4e00\u7bc7\u8f5f\u52d5\u7684\u54f2\u5b78\u8ad6\u6587<\/li>\n\n\n\n<li>\u65b0\u5275\u6295\u8cc7\u5224\u65b7<\/li>\n\n\n\n<li>\u7ba1\u7406\u4e00\u500b\u5718\u968a<\/li>\n\n\n\n<li>\u5275\u4f5c\u4ee4\u4eba\u9a5a\u5606\u7684\u8a69\u6b4c<\/li>\n\n\n\n<li>\u8077\u6daf\u8aee\u8a62<\/li>\n\n\n\n<li>\u7406\u89e3\u793e\u6703\u8da8\u52e2<\/li>\n\n\n\n<li>\u8a55\u8ad6\u6587\u7ae0\u3001\u7d66\u51fa\u5beb\u4f5c\u56de\u994b<\/li>\n<\/ol>\n\n\n\n<p>\u4ee5\u4e0a\uff0c\u883b\u5f15\u4eba\u6df1\u601d\u7684\u6587\u7ae0\uff0c\u5168\u6587\u5beb\u5f97\u5f88\u597d\uff0c\u63a8\u85a6\u4e00\u8b80\u3002<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162021254878971\">Facebook<\/a> \u8cbc\u6587\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83c\udf1f <a href=\"https:\/\/www.facebook.com\/ai.ycc\/posts\/3424085627725271\">YC \u7684 DeepSeek R1 \u89e3\u6790<\/a><\/h3>\n\n\n\n<p>\u7531 MediaTek Research \u9996\u5e2d\u7814\u7a76\u54e1 YC \u5beb\u4e86\u5169\u7bc7 DeepSeek \u7684\u7814\u7a76\u5206\u4eab:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.facebook.com\/ai.ycc\/posts\/3424085627725271\">DeepSeek R1\u89e3\u6790 \u2014 LLMs\u53ef\u4ee5\u5f9e\u8a13\u7df4\u4e2d\u81ea\u5df1\u5b78\u51fa\u63a8\u8ad6\u80fd\u529b!!<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.facebook.com\/ai.ycc\/posts\/3429217720545395]\">DeepSeek V3 \u964d\u672c\u7bc7<\/a><\/li>\n\n\n\n<li>DeepSeek \u589e\u6548\u7bc7: \u6572\u7897\u4e2d<\/li>\n<\/ul>\n\n\n\n<p>\u7576\u7136\uff0c\u5225\u5fd8\u4e86\u95dc\u6ce8 MediaTek Research \u6700\u65b0\u9069\u5408\u6b63\u9ad4\u4e2d\u6587\u4f7f\u7528\u8005\u7684 <a href=\"https:\/\/github.com\/mtkresearch\/MR-Models\">Breeze2 \u6a21\u578b<\/a>\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83c\udfaf <a href=\"https:\/\/huggingface.co\/blog\/big-bench-audio-release\">\u6587\u672c\u63a8\u7406\u548c\u97f3\u983b\u63a8\u7406\u4e4b\u9593\u5b58\u5728\u986f\u8457\u7684\u6027\u80fd\u5dee\u8ddd<\/a><\/h3>\n\n\n\n<p>\u4e4b\u524d\u5206\u4eab\u904e\u5e7e\u6b21 OpenAI Realtime API \u7684\u9032\u5c55\uff0c\u9019\u7a2e speech-to-speech \u7684\u6a21\u578b\u56e0\u70ba\u7701\u53bb\u4e86\u984d\u5916\u7684\u8a9e\u97f3\u8fa8\u8b58\u548c\u5408\u6210\u6b65\u9a5f\uff0c\u53ef\u4ee5\u9054\u5230\u5f88\u4f4e\u5ef6\u9072\u7684\u5c0d\u8a71\uff0c\u4e5f\u53ef\u4ee5\u505a\u5230\u60c5\u611f\u3001\u91cd\u97f3\u3001\u4e0d\u540c\u53e3\u97f3\uff0c\u975e\u5e38\u53b2\u5bb3\u3002<\/p>\n\n\n\n<p>\u4e0d\u904e\u6700\u8fd1\u770b\u5230 Artificial Analysis \u767c\u4e86\u4e00\u500b\u8a55\u6e2c Big Bench Audio \u5c08\u9580\u7528\u4f86\u8a55\u4f30 &#8220;\u8a9e\u97f3\u6a21\u578b&#8221; \u7684\u63a8\u7406\u80fd\u529b\uff0c\u7136\u5f8c\u767c\u73fe\u7528\u8a9e\u97f3\u6703\u8b8a\u7b28! \ud83d\ude05<\/p>\n\n\n\n<p>\u540c\u6a23\u7684 benchmark \u984c\u76ee\uff0c\u5be6\u9a57\u6bd4\u8f03\u4e86\u56db\u7a2e\u65b9\u5f0f: Speech-to-Speech\u3001Speech-to-Text\u3001Text-to-Speech\u3001Text-to-Text\u3002<\/p>\n\n\n\n<p>\u7528 text-to-text \u7576\u7136\u662f\u6700\u8070\u660e\u7684\uff0c\u7528 speech-to-speech \u5247\u8b8a\u7b28\u6700\u591a\uff0c\u5177\u9ad4\u770b\u770b\u5206\u6578:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>gpt-4o \u7528 text-to-text \u662f 92% \u6e96\u78ba\u7387 (\u4e5f\u5c31\u662f\u50b3\u7d71 pipeline \u65b9\u5f0f: \u7528 whisper \u8a9e\u97f3\u8fa8\u8b58\u6210\u6587\u5b57 + gpt-4o \u6a21\u578b + TTS \u8a9e\u97f3\u5408\u6210)<\/li>\n\n\n\n<li>gemini-2.0 Flash \u662f 81%<\/li>\n\n\n\n<li>gpt-4o \u7528 text-to-speech \u662f 74% (\u540c\u4e00\u500b\u6a21\u578b\u6587\u5b57\u8f38\u5165\u3001\u8a9e\u97f3\u8f38\u51fa)<\/li>\n\n\n\n<li>gemini 2.0 Flash \u7528 speech-to-text \u662f 67% (\u540c\u4e00\u500b\u6a21\u578b\u8a9e\u97f3\u8f38\u5165\u3001\u6587\u5b57\u8f38\u51fa)<\/li>\n\n\n\n<li>\u6700\u5f8c\u662f gpt-4o \u7528 speech-to-speech \u53ea\u5f97 66%<\/li>\n<\/ul>\n\n\n\n<p>\u770b\u4f86\u7528 speech-to-speech \u6a21\u578b\u76ee\u524d\u4e0d\u5b9c\u505a\u592a\u56f0\u96e3\u7684\u4efb\u52d9\u3002<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162029059423971\">Facebook<\/a> \u8cbc\u6587\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udee0\ufe0f <a href=\"https:\/\/arxiv.org\/abs\/2408.03314v1\">Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters<\/a><\/h3>\n\n\n\n<p>\u8b80\u4e86\u53bb\u5e74 2024\/8 \u6708 Google Deepmind \u7684\u9019\u7bc7\u8ad6\u6587: Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters<br>\u61c9\u8a72\u662f\u6700\u65e9\u8aaa\u51fa Test-Time Compute \u4e5f\u662f\u4e00\u7a2e Scaling \u7bc4\u5f0f\u7684\u958b\u5c71\u4e4b\u4f5c\u3002<\/p>\n\n\n\n<p>\u8ad6\u6587\u4e2d\u63a2\u8a0e\u4e86\u5728\u63a8\u7406\u968e\u6bb5\u9069\u7576\u589e\u52a0\u8a08\u7b97\u8cc7\u6e90(Test-Time Compute)\uff0c\u53ef\u80fd\u6bd4\u55ae\u7d14\u589e\u52a0\u6a21\u578b\u53c3\u6578\u66f4\u6709\u6548\u3002\u5be6\u9a57\u4e2d\u505a\u51fa\u7684\u6700\u4f73\u5316\uff0c\u6027\u80fd\u8d85\u8d8a\u53c3\u6578\u91cf\u592714\u500d\u7684\u6a21\u578b\u3002<br>\u73fe\u5728\u5538\u66f8\u53ef\u4ee5\u642d\u914d OpenAI Deep Research \u4e00\u8d77\u8b80: \u4e1f paper \u4e26\u8981\u6c42\u627e\u51fa\u6240\u6709\u76f8\u95dc\u7684 papers \u5e6b\u5fd9\u5206\u6790\u6574\u7406\u8ad6\u9ede:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u96d6\u7136\u53ef\u4ee5\u986f\u8457\u63d0\u5347\u5176\u554f\u984c\u89e3\u6c7a\u80fd\u529b\u3002\u4f46\u63d0\u5347\u6548\u679c\u4e26\u975e\u7121\u9650\u6301\u7e8c\uff0c\u6703\u5728\u4e00\u5b9a\u7bc4\u570d\u5f8c\u6703\u8da8\u65bc\u98fd\u548c<\/li>\n\n\n\n<li>\u63d0\u5347\u662f\u6709\u524d\u63d0\u7684\uff0c\u4e0d\u662f\u842c\u80fd\u7684\uff1a\u6a21\u578b\u5fc5\u9808\u5c0d\u8a72\u554f\u984c\u6709\u4e00\u5b9a\u7684\u77e5\u8b58\u5132\u5099\u3001\u63a8\u7406\u80fd\u529b\u548c\u89e3\u984c\u52dd\u7b97<\/li>\n\n\n\n<li>\u5982\u679c\u4e00\u500b\u554f\u984c\u5b8c\u5168\u8d85\u51fa\u6a21\u578b\u77e5\u8b58\u6216\u80fd\u529b\u7bc4\u570d\uff0c\u5373\u4f7f\u6295\u5165\u66f4\u591a\u63a8\u7406\u8a08\u7b97\uff0c\u6a21\u578b\u4e5f\u53ef\u80fd\u7121\u6cd5\u627e\u5230\u6b63\u78ba\u7b54\u6848<\/li>\n\n\n\n<li>\u5728\u9069\u7576\u7bc4\u570d\u5167\u589e\u52a0\u63a8\u7406\u8a08\u7b97\uff08\u4f8b\u5982\u591a\u6b65\u63a8\u7406\u3001\u53cd\u8986\u81ea\u6211\u4fee\u6b63\u3001\u751f\u6210\u591a\u500b\u7b54\u6848\u518d\u7be9\u9078\uff09\u5927\u591a\u80fd\u63d0\u5347LLM\u7684\u89e3\u984c\u80fd\u529b\uff0c\u53ea\u662f\u63d0\u5347\u5e45\u5ea6\u6703\u96a8\u8457\u8a08\u7b97\u91cf\u800c\u9010\u6f38\u8da8\u7de9<\/li>\n\n\n\n<li>LLM \u89e3\u984c\u8868\u73fe\u96a8 Test-Time Compute \u589e\u52a0\u800c\u63d0\u5347\u7684\u95dc\u4fc2\u4e26\u975e\u7dda\u6027\uff0c\u800c\u662f\u5448\u73fe\u908a\u969b\u6548\u76ca\u905e\u6e1b\u7684\u8da8\u52e2\uff0c\u985e\u4f3c\u5c0d\u6578\u6216\u6b21\u7dda\u6027\u7684\u95dc\u4fc2\u200b<\/li>\n\n\n\n<li>\u6700\u521d\u589e\u52a0\u8a08\u7b97\u91cf\u6642\uff0c\u6027\u80fd\u5e38\u6709\u5927\u5e45\u63d0\u5347\uff0c\u4f46\u96a8\u8457\u8a08\u7b97\u91cf\u9032\u4e00\u6b65\u589e\u52a0\uff0c\u589e\u76ca\u9010\u6f38\u7e2e\u5c0f\u3002\u5b58\u5728\u6027\u80fd &#8220;\u98fd\u548c\u9ede&#8221;<\/li>\n\n\n\n<li>\u4e5f\u5c31\u662f \u554f\u984c\u96e3\u5ea6 \u548c \u6a21\u578b\u57fa\u790e\u80fd\u529b \u70ba\u63d0\u5347\u6548\u679c\u8a2d\u5b9a\u4e86 &#8220;\u5929\u82b1\u677f&#8221;<\/li>\n<\/ul>\n\n\n\n<p>\u7e3d\u4e4b\uff0c\u8a13\u7df4\u968e\u6bb5\u548c\u63a8\u7406\u968e\u6bb5\u7684\u64f4\u5c55\u5404\u6709\u7528\u6b66\u4e4b\u5730\uff0c\u76ee\u524d\u6700\u5148\u9032\u7684\u505a\u6cd5\u662f \u5c07\u5169\u8005\u7d50\u5408\uff1a\u4e00\u65b9\u9762\u901a\u904e\u66f4\u591a\u6578\u64da\u548c\u5f37\u5316\u5b78\u7fd2\u8b93\u6a21\u578b\u5177\u5099\u66f4\u5f37\u7684\u63a8\u7406\u6280\u80fd\uff0c\u53e6\u4e00\u65b9\u9762\u5728\u63a8\u7406\u6642\u8b93\u6a21\u578b\u5145\u5206\u5229\u7528\u6642\u9593\u9032\u884c\u601d\u8003\u548c\u641c\u7d22<br>\u53e6\u5916\u8981\u6ce8\u610f\uff0c\u9019\u7bc7 paper \u7684\u63a8\u7406\u7b56\u7565\u662f:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Self-Consistency: \u9700\u8981\u91dd\u5c0d\u540c\u4e00\u500b query \u8b93 LLM \u591a\u6b21\u56de\u7b54\uff0c\u7136\u5f8c\u6295\u7968\u9078\u6700\u4f73\u7b54\u6848\u3002<\/li>\n\n\n\n<li>Iterative Refinement: \u8b93 LLM \u81ea\u6211\u6aa2\u67e5 &amp; \u4fee\u6b63\uff0c\u901a\u5e38\u9700\u8981\u6578\u8f2a\u8fed\u4ee3\u3002<\/li>\n\n\n\n<li>Tree-of-Thought &amp; Beam Search: \u8b93 LLM \u540c\u6642\u63a2\u7d22\u591a\u689d\u63a8\u7406\u8def\u5f91\uff0c\u7136\u5f8c\u9078\u64c7\u6700\u4f73\u7b54\u6848\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u9019\u4e9b\u65b9\u6cd5\u90fd\u9700\u8981\u300c\u591a\u6b21\u5e73\u884c\u6216\u8fed\u4ee3\u547c\u53eb LLM\u300d\uff0c\u5c0d\u6bd4\u76ee\u524d\u6700\u5f37\u958b\u6e90\u63a8\u7406\u6a21\u578b DeepSeek R1 \u5247\u662f\u5728\u55ae\u6b21 Chain-of-Thought \u5c31\u80fd\u5920\u7522\u751f\u5f88\u9577\u7684\u53b2\u5bb3\u63a8\u7406\u904e\u7a0b\u3002<\/p>\n\n\n\n<p>R1 \u80fd\u5920\u5728\u55ae\u6b21 CoT \u5c31\u9019\u9ebc\u53b2\u5bb3\uff0c\u7576\u7136\u662f\u56e0\u70ba\u8a13\u7df4\u968e\u6bb5\u5c31\u6709\u7279\u5225\u7df4\u904e(\u7528\u5f37\u5316\u5b78\u7fd2) CoT \u7684\u63a8\u7406\u80fd\u529b\u3002\u6c92\u7279\u5225\u7df4\u904e\u7684\u6a21\u578b\u505a CoT \u96d6\u7136\u4e5f\u53ef\u4ee5\u9010\u6b65\u601d\u8003\uff0c\u4f46\u5982\u679c\u60f3\u932f\u4e86\u5bb9\u6613\u56e0\u70ba\u81ea\u8eab\u7684\u8b2c\u8aa4\u5c0e\u81f4\u6700\u7d42\u7b54\u6848\u932f\u8aa4\u200b\u3002\u8981\u6709\u7df4\u904e\u7684\u6a21\u578b\u624d\u80fd\u5920\u5728\u55ae\u6b21 CoT \u8f38\u51fa\u505a\u5230\u63a2\u7d22\u5faa\u74b0\u9a57\u8b49\u56de\u6eaf\u4fee\u6b63\u7684\u63a8\u7406\u3002<\/p>\n\n\n\n<p>\u81f3\u65bc OpenAI \u7684 o1 \u548c o3 \u662f\u54ea\u4e00\u7a2e\uff0c\u662f\u900f\u904e\u63a8\u8ad6\u968e\u6bb5\u624d\u505a\u641c\u5c0b(\u9019\u7a2e\u63a8\u8ad6\u6210\u672c\u8f03\u9ad8)\uff0c\u9084\u662f\u50cf R1 \u90a3\u6a23\u55ae\u6b21 CoT \u9054\u6210(\u63a8\u8ad6\u6210\u672c\u8f03\u4f4e)\uff0c \u7531\u65bc\u5be6\u4f5c\u7d30\u7bc0\u672a\u516c\u958b\uff0c\u4ecd\u5b58\u5728\u5f88\u591a\u8a0e\u8ad6\u722d\u8b70(\u731c\u5427)\u3002<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162032434508971\">Facebook<\/a> \u8cbc\u6587\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcda <a href=\"https:\/\/arxiv.org\/abs\/2304.15004\">\u6e67\u73fe Emergent \u5f88\u53ef\u80fd\u53ea\u662f\u5047\u8c61<\/a><\/h3>\n\n\n\n<p>\u539f\u4f86\u8a9e\u8a00\u5927\u6a21\u578b\u6240\u8b02\u7684\u795e\u79d8 &#8220;\u6e67\u73fe Emergent&#8221; \u73fe\u8c61\uff0c\u53ea\u662f benchmark \u5be6\u9a57\u8a2d\u8a08\u554f\u984c\u6240\u5c0e\u81f4\u7684\u5047\u8c61\uff0c\u800c\u975e\u771f\u6b63\u7684\u65b7\u5c64\u5f0f\u80fd\u529b\u7522\u751f\u3002<\/p>\n\n\n\n<p>\u6574\u7406\u6559\u6750\u6642\u770b\u5230 2023 \u5e74 4 \u6708 Stanford \u7684\u4e00\u7bc7\u8ad6\u6587 Are Emergent Abilities of Large Language Models a Mirage?<br>2023 \u5e74\u7b97\u662f\u820a\u805e\u4e0d\u662f\u4ec0\u9ebc\u65b0\u77e5\u4e86\uff0c\u4f46\u6211\u89ba\u5f97\u9084\u662f\u883b\u6709\u555f\u767c\u7684\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6240\u8b02\u7684\u300c\u6e67\u73fe\u300d\uff0c\u5f88\u53ef\u80fd\u53ea\u662f\u4e00\u7a2e\u300c\u8a55\u4f30\u65b9\u5f0f\u6216\u5ea6\u91cf\u6307\u6a19\u300d\u4ee5\u53ca\u300c\u6a21\u578b\u898f\u6a21\u53d6\u6a23\u4e0d\u5920\u5bc6\u96c6\u300d\u6240\u9020\u6210\u7684\u5047\u8c61\uff0c\u800c\u4e0d\u662f\u771f\u6b63\u7684\u80fd\u529b\u8df3\u8e8d<\/li>\n\n\n\n<li>\u56e0\u70ba\u63a1\u7528 \u4e0d\u9023\u7e8c\u3001\u9580\u6abb\u5f0f \u7684\u8a55\u4f30\u6307\u6a19\uff08\u4f8b\u5982\u7b54\u5c0d\u984c\u76ee\u7684\u767e\u5206\u6bd4\uff0c\u4e00\u65e6\u932f\u4e00\u984c\u5c31\u7b97\u5931\u6557\uff09\uff0c\u5c31\u5bb9\u6613\u5c0e\u81f4\u300c\u5ffd\u7136\u5927\u5e45\u8e8d\u5347\u300d\u7684\u89c0\u611f<\/li>\n\n\n\n<li>\u5982\u679c\u4f7f\u7528 \u6f38\u9032\u9023\u7e8c \u7684\u8a55\u4f30\u65b9\u6cd5\uff08\u4f8b\u5982\u7b54\u5c0d\u90e8\u5206\u95dc\u9375\u5b57\u6216\u9010\u500b\u5b57\u6bcd\u7d66\u5206\u7684\u8a55\u91cf\u6a21\u5f0f\uff09\uff0c\u52a0\u4e0a\u89c0\u5bdf\u6a21\u578b\u5728\u591a\u500b\u53c3\u6578\u6a21\u578b\u898f\u6a21\u9ede\u4e0a\u7684\u8868\u73fe\uff0c\u5c31\u6703\u770b\u5230\u8a72\u4efb\u52d9\u4e0a\u7684\u8868\u73fe\u5176\u5be6\u4e00\u76f4\u5728\u5e73\u6ed1\u5730\u63d0\u5347\uff0c\u4e26\u6c92\u6709\u771f\u6b63\u7684\u300c\u95be\u503c\u8df3\u8e8d\u300d<\/li>\n<\/ul>\n\n\n\n<p>\u56e0\u6b64\u53ea\u8981\u6539\u8b8a\u8a55\u5206\u65b9\u6cd5\uff0c\u5c31\u80fd\u5c07\u300c\u65b7\u5c64\u5f0f\u66f2\u7dda\u300d\u8b8a\u56de\u300c\u7a69\u5b9a\u5e73\u6ed1\u66f2\u7dda\u300d\uff0c\u6e67\u73fe\u73fe\u8c61\u4e0d\u4e00\u5b9a\u662f\u5927\u6a21\u578b\u7522\u751f\u4e86\u8cea\u8b8a\u80fd\u529b\uff0c\u800c\u53ea\u662f\u8a55\u91cf\u65b9\u5f0f\u4f7f\u5f97\u5206\u6578\u770b\u8d77\u4f86\u7a81\u7136\u8df3\u8000\u800c\u5df2\u3002<\/p>\n\n\n\n<p>\u66f4\u591a\u8a0e\u8ad6\u5728\u6211 <a href=\"https:\/\/www.facebook.com\/ihower\/posts\/10162037413803971\">Facebook<\/a> \u8cbc\u6587\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd0d <a href=\"https:\/\/ihower.tw\/notes\/openai-deep-research-guide-by-dair-ai\">OpenAI Deep Research \u975e\u5b98\u65b9\u6307\u5357<\/a><\/h3>\n\n\n\n<p>OpenAI \u6700\u65b0\u767c\u5e03\u7684 <a href=\"https:\/\/openai.com\/index\/introducing-deep-research\/\">Deep Research<\/a> \u529f\u80fd\u8b93\u6211\u975e\u5e38\u9a5a\u8277\uff0c\u8981\u80fd\u8f38\u51fa\u5982\u6b64\u9577\u7bc7\u8a00\u4e4b\u6709\u7269\u7684\u5167\u5bb9\u5f88\u4e0d\u5bb9\u6613\u3002<br>\u76f8\u6bd4 gpt-4o \u7684\u641c\u5c0b\u529f\u80fd\u662f\u55ae\u6b21\u641c\u5c0b\u5f8c\uff0c\u6a21\u578b\u56de\u7b54\u5c31\u7d50\u675f\u4e86\u3002\u9019\u500b\u65b0\u7684 Deep Research \u662f\u500b Agent \u7cfb\u7d71\uff0c\u662f\u500b\u67e5\u4e00\u67e5\u601d\u8003\u4e0b\u4e00\u6b65\u5f8c\u518d\u67e5\u4e00\u67e5\u7684\u8ff4\u5708\u904e\u7a0b\uff0c\u6700\u5f8c\u90fd\u7814\u7a76\u597d\u4e86\u624d\u7d66\u5831\u544a\uff0c\u6574\u500b\u7814\u7a76\u904e\u7a0b\u53ef\u4ee5\u9577\u9054 20 \u5206\u9418\u3002<\/p>\n\n\n\n<p>\u4e0d\u904e\u76ee\u524d\u53ea\u958b\u653e Pro \u7528\u6236\u4f7f\u7528(\u7684\u78ba\u6709\u9ede\u8cb4)\uff0c\u4f46\u662f Sam Altman <a href=\"https:\/\/x.com\/sama\/status\/1889679679696806103\">\u6709\u8003\u616e<\/a> Plus \u7528\u6236\u5373\u5c07\u4e5f\u53ef\u4ee5\u4e00\u500b\u6708\u7528 10 \u6b21\u3002<\/p>\n\n\n\n<p>\u9019\u7bc7 OpenAI Deep Research Guide \u662f\u7531 Elvis Saravia \u535a\u58eb\u6574\u7406\u7684 OpenAI Deep Research (\u975e\u5b98\u65b9)\u6307\u5357\uff0c\u5167\u5bb9\u9084\u4e0d\u932f\uff0c\u5305\u62ec\u4ee5\u4e0b\u5167\u5bb9:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Q: \u4ec0\u9ebc\u662f Deep Research\uff1f<\/li>\n\n\n\n<li>Q: \u5b83\u89e3\u6c7a\u4e86\u4ec0\u9ebc\u554f\u984c\uff1f<\/li>\n\n\n\n<li>Q: \u6709\u54ea\u4e9b\u4f7f\u7528\u60c5\u5883\uff1f<\/li>\n\n\n\n<li>Q: Deep Research \u8207\u5176\u4ed6\u89e3\u6c7a\u65b9\u6848\u6709\u4f55\u4e0d\u540c\uff1f<\/li>\n\n\n\n<li>Q: OpenAI \u7684 Deep Research \u4f7f\u7528\u6280\u5de7<\/li>\n\n\n\n<li>Q: \u53ef\u4ee5\u5617\u8a66\u54ea\u4e9b\u61c9\u7528\uff1f<\/li>\n\n\n\n<li>Q: \u7f3a\u5c11\u4e86\u4ec0\u9ebc \/ \u6311\u6230\u662f\u4ec0\u9ebc\uff1f<\/li>\n<\/ul>\n\n\n\n<p><a href=\"https:\/\/ihower.tw\/notes\/openai-deep-research-guide-by-dair-ai\">\u5168\u6587\u7ffb\u8b6f\u5728\u6b64<\/a>\uff0c\u6211\u5728\u6700\u4e0b\u65b9\u9084\u52a0\u4e0a\u4e86\u6211\u7684\u984d\u5916\u5167\u5bb9\uff0c\u5305\u62ec\u6211\u81ea\u5df1\u7684 Deep Research \u5206\u4eab\u3001\u95dc\u65bc ChatGPT deep research \u7684 system prompt\u3001\u548c Gemini Deep Research \u7684\u6bd4\u8f03\u7b49\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\u6700\u5f8c\u63a8\u85a6\u4e00\u500b\u8ab2\u7a0b: Gen AI \u5e74\u6703\u8207\u5c0f\u805a\u7684\u4e3b\u8fa6\u4eba Muyueh Lee \u674e\u6155\u7d04 \u7684 365 AI \u8a02\u95b1\u8a08\u5283 \u5df2\u7d93\u958b\u8ce3\u5566!<br>\u5c0d\u8077\u5834\u5de5\u4f5c\u4eba\u4f86\u8aaa\uff0c\u76f4\u63a5\u4e00\u6574\u5e74\u4e0d\u7528\u7169\u60f1\u8ffd\u4ec0\u9ebc AI \u5de5\u5177\u65b0\u77e5\uff0c\u8ddf\u8457\u674e\u6155\u7d04\u966a\u8dd1\u5b78\u7fd2\u5c31\u597d\u5566 \ud83d\udc4d\ud83d\ude18<\/p>\n\n\n\n<p>\u66f4\u591a\u8a73\u7d30\u7684\u5167\u5bb9\u5728\u8ab2\u7a0b\u7db2\u9801\u4e0a\u5beb\u7684\u975e\u5e38\u5b8c\u6574: <a href=\"https:\/\/pse.is\/6yw436\">pse.is\/6yw436<\/a><br>\u6211\u7684 $240 \u5c08\u5c6c\u6298\u6263\u78bc\uff1aIHOWER<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/s.teachifycdn.com\/image\/width=1920,quality=80\/membership_plan\/cover_photo\/00354621-a5bb-48a5-b0eb-ca26cbe595b5\/b4c337a8-a5bf-47e2-a7ee-8b5bf41f3e03.jpg\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u2013 ihower<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hello! \u5404\u4f4d AI \u958b\u767c\u8005\u5927\u5bb6\u597d \ud83d\udc4b \u6211\u662f ihower\uff0c\u9019\u6b21\u904e\u5e74\u597d\u5fd9\uff0c\u53c8\u662f DeepSeek R1 \u53c8 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/ihower.tw\/blog\/12633-aie-deep\" class=\"more-link\">\u95b1\u8b80\u5168\u6587<span class=\"screen-reader-text\">\u3008\u611b\u597d AI Engineer \u96fb\u5b50\u5831 \ud83d\ude80 \u5c31\u662f\u6709\u6df1\u5ea6 DeepSeek R1 \u548c OpenAI Deep Research #23\u3009<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[91],"tags":[],"class_list":["post-12633","post","type-post","status-publish","format-standard","hentry","category-aie","entry"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p1q6tG-3hL","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/12633","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/comments?post=12633"}],"version-history":[{"count":3,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/12633\/revisions"}],"predecessor-version":[{"id":12651,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/12633\/revisions\/12651"}],"wp:attachment":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/media?parent=12633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/categories?post=12633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/tags?post=12633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}