{"id":38510,"date":"2025-02-17T17:00:52","date_gmt":"2025-02-17T09:00:52","guid":{"rendered":"https:\/\/17aitech.com\/?p=38510"},"modified":"2025-02-17T17:00:52","modified_gmt":"2025-02-17T09:00:52","slug":"openai-%e7%bb%88%e4%ba%8e%e5%8f%91%e5%b8%83-gpt-4o-mini%ef%bc%8c%e4%bd%86%e6%af%94%e4%b8%ad%e5%9b%bd%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%99%9a%e4%ba%86%e5%8d%8a%e5%b9%b4","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38510","title":{"rendered":"OpenAI \u7ec8\u4e8e\u53d1\u5e03 GPT-4o mini\uff0c\u4f46\u6bd4\u4e2d\u56fd\u5927\u6a21\u578b\u665a\u4e86\u534a\u5e74"},"content":{"rendered":"

\u7f8e\u56fd\u65f6\u95f4 7 \u670818 \u65e5\uff0cOpenAI \u6b63\u5f0f\u53d1\u5e03\u4e86\u591a\u6a21\u6001\u5c0f\u6a21\u578b GPT-4o mini\uff0c\u5728\u6d77\u5185\u5916\u5f15\u8d77\u4e86\u5e7f\u6cdb\u5173\u6ce8\u3002<\/p>\n

\u6b64\u524d\uff0cOpenAI \u51ed\u501f GPT-3 \u5f00\u62d3\u4e86 AI \u6a21\u578b\u7684\u201c\u66b4\u529b\u7f8e\u5b66\u201d\u65f6\u4ee3\uff0c\u540c\u65f6\u4e5f\u4ee5\u8bad\u7ec3\u8d85\u5927\u53c2\u6570\u89c4\u6a21\u7684\u6a21\u578b\u80fd\u529b\u5efa\u7acb\u8d77 AGI \u540c\u8d5b\u9053\u7684\u62a4\u57ce\u6cb3\u3002\u4f46\u5728\u5176\u63a8\u51fa GPT-4o \u7684\u201cMini\u201d\u7248\u672c\u4e4b\u540e\uff0cOpenAI \u4f3c\u4e4e\u8d70\u5411\u4e86\u539f\u6709\u4f18\u52bf\u7684\u53cd\u65b9\u5411\uff0c\u5f00\u59cb\u5377\u201c\u5c0f\u6a21\u578b\u201d\uff0c\u800c\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff1a<\/p>\n

\u5728 Mini \u8fd9\u6761\u8def\u4e0a\uff0c\u6b27\u6d32\u4e0e\u4e2d\u56fd\u7684\u5927\u6a21\u578b\u56e2\u961f\u5df2\u7ecf\u7387\u5148\u7814\u7a76\u4e86\u5927\u534a\u5e74\u3002<\/p>\n

\u4ece 2023 \u5e74\u4e0a\u534a\u5e74\u667a\u8c31 AI \u53d1\u5e03\u5bf9\u8bdd\u5c0f\u6a21\u578b ChatGLM-6B\uff0c10 \u6708 Mistral \u53d1\u5e03 7B \u6a21\u578b\uff0c\u5230 2024 \u5e74 2 \u6708\u9762\u58c1\u667a\u80fd\u56e2\u961f\u796d\u51fa 2.4B \u7684 MiniCPM\uff0c\u7d27\u63a5\u7740\u662f\u591a\u6a21\u6001\u5c0f\u6a21\u578b 8B MiniCPM-Llama3-V 2.5\uff0c\u8fd8\u6709\u5546\u6c64\u7684 1.8B SenseChat Lite\u3001\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4 OpenGV Lab \u56e2\u961f\u7684 Intern-VL \u7cfb\u5217\u2026\u2026<\/p>\n

\u57fa\u4e8e\u901a\u7528\u5927\u6a21\u578b\u5f00\u53d1\u5c0f\u6a21\u578b\u6216\u7aef\u4fa7\u6a21\u578b\u7684\u8def\u7ebf\uff0c\u6b64\u524d\u5df2\u5728\u56fd\u5185\u53d1\u9175\u5927\u534a\u5e74\u3002\u5982\u4eca\uff0cOpenAI \u7b49\u4e16\u754c\u7ea7\u5934\u90e8 AI \u4f01\u4e1a\u7684\u5165\u5c40\uff0c\u66f4\u8868\u660e\u7aef\u4fa7\u6a21\u578b\u3001\u201c\u667a\u80fd\u5c0f\u6a21\u578b\u201d\u662f\u5927\u52bf\u6240\u8d8b\u3002<\/p>\n

GPT-4o \u53d1\u5e03\u540e\uff0cAI \u6280\u672f\u5927\u725b Andrej Karpathy \u4e5f\u5728\u63a8\u7279\u4e0a\u53d1\u8868\u4e86\u81ea\u5df1\u5bf9\u201c\u5c0f\u6a21\u578b\u201d\u7684\u770b\u6cd5\uff1a<\/p>\n

<\/a><\/p>\n<\/p>\n

\u5728 Andrej Karpathy \u770b\u6765\uff0c\u672a\u6765\u5c06\u4f1a\u51fa\u73b0\u53c2\u6570\u89c4\u6a21\u5c0f\u3001\u4f46\u601d\u8003\u80fd\u529b\u5f3a\u7684\u5c0f\u6a21\u578b\uff1b\u5c0f\u6a21\u578b\u624d\u662f AI \u201c\u5927\u6a21\u578b\u201d\u7684\u6700\u7ec8\u76ee\u6807\u3002<\/p>\n

Andrej Karpathy \u6307\u51fa\uff0c\u73b0\u5728\u7684 AI \u6a21\u578b\u4e4b\u6240\u4ee5\u201c\u5927\u201d\uff0c\u662f\u56e0\u4e3a\u76ee\u524d\u6a21\u578b\u7684\u8bad\u7ec3\u4ecd\u6bd4\u8f83\u7c97\u653e\uff1b\u6362\u8a00\u4e4b\uff0c\u5373\u8bad\u7ec3\u4e0d\u9ad8\u6548\u2014\u2014\u9762\u58c1\u667a\u80fd\u56e2\u961f\u5728 3 \u6708\u4e0e AI \u79d1\u6280\u8bc4\u8bba\u7684\u4ea4\u8c08\u4e2d\u5c31\u5df2\u8868\u8fbe\u76f8\u4f3c\u89c2\u70b9\u3002<\/p>\n

\u5982\u4f55\u8ba9\u5c0f\u6a21\u578b\u66f4\u667a\u80fd\uff1fAndrej \u8ba4\u4e3a\u5173\u952e\u70b9\u5728\u4e8e\u6a21\u578b\u7684\u77e5\u8bc6\uff0c\u5373\u8bad\u7ec3\u6570\u636e\u3002\u76ee\u524d\u6765\u770b\uff0c\u65e0\u8bba\u662f OpenAI\u3001\u8fd8\u662f\u9762\u58c1\u667a\u80fd\u7b49\u56e2\u961f\uff0c\u4ed6\u4eec\u7684\u8def\u7ebf\u90fd\u662f\u5148\u5c06\u6a21\u578b\u201c\u505a\u5927\u201d\u3001\u7136\u540e\u518d\u5c06\u6a21\u578b\u201c\u505a\u5c0f\u201d\uff0c\u539f\u56e0\u5728 Andrej \u770b\u6765\uff0c\u662f\u56e0\u4e3a\u201c\u5c0f\u6a21\u578b\u9700\u8981\u4f9d\u6258\u5927\u6a21\u578b\u6765\u91cd\u6784\u7406\u60f3\u7684\u5408\u6210\u6570\u636e\u201d\uff0c\u76f4\u5230\u5927\u6a21\u578b\u4e2d\u7684\u9ad8\u8d28\u91cf\u6570\u636e\u88ab\u8017\u5c3d\u3002<\/p>\n

\u9664\u6570\u636e\u8003\u8651\u5916\uff0c\u9762\u58c1\u56e2\u961f\u8fd8\u544a\u8bc9 AI \u79d1\u6280\u8bc4\u8bba\uff0c\u4ece 2023 \u5e74\u4e0b\u534a\u5e74\u5f00\u59cb\uff0c\u4ed6\u4eec\u901a\u8fc7\u5efa\u7acb\u4e00\u5957\u201c\u7528\u5927\u6a21\u578b\u8bad\u7ec3\u5c0f\u6a21\u578b\u201d\u7684\u6c99\u76d2\u5b9e\u9a8c\u673a\u5236\uff0c\u662f\u4e3a\u4e86\u9a8c\u8bc1\u4ed6\u4eec\u6240\u7406\u89e3\u7684\u201cScaling Law\u201d\uff0c\u5373\u6a21\u578b\u53c2\u6570\u89c4\u6a21\u968f\u7740\u65f6\u95f4\u63a8\u79fb\u9012\u51cf\u3001\u4f46\u667a\u80fd\u6c34\u5e73\u4e0d\u65ad\u4e0a\u5347\u7684\u201c\u9762\u58c1\u5b9a\u5f8b\u201d\u2014\u2014\u5927\u6a21\u578b\u7684\u667a\u80fd\u5bc6\u5ea6\u6bcf 8 \u4e2a\u6708\u7ffb\u4e00\u500d\u3002<\/p>\n

\u5982\u679c\u6a21\u578b\u80fd\u5728\u8d8a\u5c0f\u7684\u89c4\u6a21\u4e0a\u5b9e\u73b0\u66f4\u9ad8\u7684\u667a\u80fd\uff0c\u90a3\u4e48\u6a21\u578b\u7684\u8bad\u7ec3\u4e0e\u63a8\u7406\u6210\u672c\u90fd\u5c06\u5927\u5e45\u4e0b\u964d\u3002\u4f46\u636e AI \u79d1\u6280\u8bc4\u8bba\u4e86\u89e3\uff0c\u8be5\u65b9\u5411\u5bf9\u7b97\u6cd5\u4e0e\u6570\u636e\u5de5\u7a0b\u7684\u6311\u6218\u4e5f\u5341\u5206\u5de8\u5927\uff0c\u4e2d\u95f4\u7684\u6280\u672f\u95e8\u69db\u5e76\u4e0d\u4f4e\u3002<\/p>\n

\u968f\u7740\u6210\u672c\u4e0b\u964d\uff0c\u82f1\u4f1f\u8fbe\u7684 GPU \u9700\u6c42\u91cf\u4e5f\u5c06\u53d7\u5230\u5f71\u54cd\u3002\u6709\u4e1a\u5185\u4eba\u58eb\u5411 AI \u79d1\u6280\u8bc4\u8bba\u8bc4\u4ef7\uff0c\u201c\u5bf9\u82f1\u4f1f\u8fbe\u6765\u8bf4\uff0c\u76f8\u6bd4 GPT-4o \u6216 GPT-4o mini\uff0c\u5e74\u5e95\u7684 GPT-5 \u624d\u662f\u4e00\u4e2a\u5173\u952e\u8282\u70b9\u3002\u201d<\/p>\n

\u540c\u65f6\uff0c\u4ece\u5546\u4e1a\u4e0a\u6765\u770b\uff0cGPT-4o mini \u4f5c\u4e3a\u4e00\u4e2a\u6027\u4ef7\u6bd4\u6781\u9ad8\u7684\u4e91\u7aef\u6a21\u578b\uff0c\u5bf9\u56fd\u5185\u5916\u4e91\u7aef API \u5e02\u573a\u4e5f\u5c06\u9020\u6210\u51b2\u51fb\uff0c\u5927\u89c4\u6a21\u7684\u4e91\u7aef\u6a21\u578b\u66f4\u96be\u8d5a\u94b1\uff1b\u76f8\u53cd\uff0c\u7aef\u4fa7\u6a21\u578b\u5c06\u6210\u4e3a\u65b0\u7684\u5e02\u573a\u201c\u663e\u5b66\u201d\u3002<\/p>\n

GPT-4o mini \u80fd\u529b\u63ed\u79d8<\/span><\/strong><\/p>\n

\u4f5c\u4e3a GPT-4o \u66f4\u5c0f\u53c2\u6570\u7684\u7b80\u5316\u7248\u672c\uff0c\u6b64\u6b21 GPT-4o mini \u7684\u53d1\u5e03\u610f\u5473\u7740 OpenAI \u6b63\u5f0f\u201c\u8fdb\u519b\u201d\u591a\u6a21\u6001\u5c0f\u6a21\u578b\u3002\u636e\u5b98\u7f51\u4ecb\u7ecd\uff0c\u76ee\u524d\uff0c\u5728API\u5c42\u9762\uff0cGPT-4o mini\u652f\u6301128k\u300116k\u8f93\u5165tokens\uff08\u56fe\u50cf\u548c\u6587\u672c\uff09\uff0c\u672a\u6765\u8fd8\u5c06\u652f\u6301\u89c6\u9891\u548c\u97f3\u9891\u7684\u8f93\u5165\u548c\u8f93\u51fa\u3002<\/p>\n

\u4f46\u662f\uff0cOpenAI \u5e76\u672a\u900f\u9732\u6b64\u6b21\u65b0\u6a21\u578b\u7684\u53c2\u6570\u91cf\u5927\u5c0f\u3002<\/p>\n

\u6570\u636e\u663e\u793a\uff0cGPT-4o mini \u5728\u6587\u672c\u667a\u80fd\u548c\u591a\u6a21\u6001\u63a8\u7406\u65b9\u9762\u7684\u5b66\u672f\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8d85\u8d8a\u4e86 GPT-3.5 Turbo \u548c\u5176\u4ed6\u5c0f\u6a21\u578b\uff0c\u5e76\u4e14\u652f\u6301\u7684\u8bed\u8a00\u8303\u56f4\u4e0e GPT-4o \u76f8\u540c\u3002\u6b64\u5916\uff0c GPT-3.5 Turbo \u76f8\u6bd4\uff0c\u5176\u957f\u4e0a\u4e0b\u6587\u6027\u80fd\u4e5f\u6709\u6240\u63d0\u9ad8\u3002<\/p>\n

\u4e0e GPT-4 \u76f8\u6bd4\uff0cGPT-4o mini \u5728\u804a\u5929\u504f\u597d\u4e0a\u8868\u73b0\u4f18\u4e8e GPT-4 \uff0c\u5e76\u5728\u5927\u89c4\u6a21\u591a\u4efb\u52a1\u8bed\u8a00\u7406\u89e3\uff08MMLU\uff09\u6d4b\u8bd5\u4e2d\u83b7\u5f97\u4e8682%\u7684\u5f97\u5206\u3002\u516c\u5f00\u8d44\u6599\u4ecb\u7ecd\uff0cMMLU \u662f\u4e00\u9879\u5305\u542b 57 \u4e2a\u5b66\u79d1\u5927\u7ea6 16000 \u9053\u591a\u9879\u9009\u62e9\u9898\u7684\u8003\u8bd5\uff0c\u5f97\u5206\u8d8a\u9ad8\u7684\u5927\u6a21\u578b\u5728\u5404\u79cd\u9886\u57df\u4e2d\u7406\u89e3\u548c\u4f7f\u7528\u8bed\u8a00\u7684\u80fd\u529b\u8d8a\u5f3a\u3002<\/p>\n

\u4ece OpenAI \u63d0\u4f9b\u7684\u6570\u636e\u6765\u770b\uff0cGPT-4o mini \u7684\u5f97\u5206\u4e3a82%\uff0cGoogle \u7684 Gemini Flash\u5f97\u5206\u4e3a77.9%\uff0cAnthropic \u7684Claude Haiku \u5f97\u5206\u4e3a73.8%\uff0cGPT-4o mini \u80fd\u529b\u66f4\u5f3a\uff1a<\/p>\n

<\/a><\/p>\n

\u5728\u5b9e\u73b0\u6027\u80fd\u4f18\u5316\u7684\u540c\u65f6\uff0c\u4ef7\u683c\u4e5f\u66f4\u4fbf\u5b9c\u3002<\/p>\n

OpenAI \u8868\u793a\uff0cGPT-4o mini \u7684\u6210\u672c\u4e3a\u6bcf\u767e\u4e07\u8f93\u5165\u6807\u8bb0\uff08token\uff0915 \u7f8e\u5206\uff0c\u6bcf\u767e\u4e07\u8f93\u51fa\u6807\u8bb0 60 \u7f8e\u5206\uff0c\u6bd4 GPT-3.5 Turbo \u4fbf\u5b9c\u8d85\u8fc7 60%\u3002\u5373\u65e5\u8d77\u6b63\u5f0f\u5411\u514d\u8d39\u7248\u3001Plus \u7248\u548c\u56e2\u961f\u7248\u7684 ChatGPT \u7528\u6237\u5f00\u653e\uff0c\u4f01\u4e1a\u7528\u6237\u5219\u4ece\u4e0b\u5468\u5f00\u59cb\u53ef\u4f7f\u7528\u3002<\/p>\n

<\/a><\/p>\n

OpenAI \u4e5f\u60f3\u5728\u5c0f\u6a21\u578b\u5e02\u573a\u201c\u5206\u4e00\u676f\u7fb9\u201d\u3002<\/p>\n

\u6b64\u524d\uff0c\u65e0\u6cd5\u627f\u62c5 OpenAI \u6a21\u578b\u6602\u8d35\u8d39\u7528\u7684\u5f00\u53d1\u8005\u5f80\u5f80\u4f1a\u9009\u62e9\u66f4\u4fbf\u5b9c\u7684\u66ff\u4ee3\uff0c\u5982 Gemini 1.5 Flash \u53ca Claude 3 Haiku\uff0c\u8fd9\u6216\u8bb8\u4e5f\u662f\u6b64\u6b21 OpenAI \u63a8\u51fa\u5c0f\u6a21\u578b\u7684\u4e3b\u8981\u539f\u56e0\u2014\u2014\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u66f4\u4e3a\u8f7b\u91cf\u4e14\u5ec9\u4ef7\u7684\u5de5\u5177\uff0c\u4ee5\u521b\u5efa\u5176\u65e0\u6cd5\u8d1f\u62c5\u7684\u5927\u6a21\u578b\uff08\u5982 GPT-4\uff09\u7684\u5e94\u7528\u7a0b\u5e8f\u548c\u5de5\u5177\u3002<\/p>\n

\u5bf9\u4e8e\u6b64\u6b21 GPT-4o mini \u7684\u63a8\u51fa\uff0c\u793e\u4ea4\u5e73\u53f0\u4e0a\u5916\u56fd\u7f51\u53cb\u4eec\u4f3c\u4e4e\u5b58\u5728\u4e0d\u5c11\u4e0d\u4e70\u8d26\u7684\u58f0\u97f3\uff0c\u90e8\u5206\u7f51\u53cb\u50ac\u4fc3 OpenAI \u53d1\u5e03 GPT-4o \u5b8c\u6574\u7248\uff0c\u300cNo one wants a cheaper 3.5. We want a better 4o.\u300d\uff08\u6ca1\u6709\u4eba\u60f3\u8981\u66f4\u4fbf\u5b9c\u76843.5\uff0c\u6211\u4eec\u60f3\u8981\u66f4\u597d\u76844o\uff09\uff0c\u8fd8\u6709\u7f51\u53cb\u663e\u7136\u5bf9\u4e8e GPT-4.5 \u4ee5\u53ca GPT-5 \u7684\u70ed\u60c5\u66f4\u76db\u3002<\/p>\n

<\/a><\/p>\n

\u4f46\u4e5f\u6709\u56fd\u4ea7\u5927\u6a21\u578b\u56e2\u961f\u6307\u51fa\uff0cGPT-4o mini \u662f\u76f8\u5bf9 GPT-4o \u7684\u201cMini\u201d\u7248\u672c\uff0c\u5177\u4f53\u53c2\u6570\u91cf\u4e0d\u8be6\uff0c\u56e0\u6b64\u5982\u5546\u6c64\u3001\u9762\u58c1\u667a\u80fd\u3001\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u7b49\u56e2\u961f\u96be\u4ee5\u4e0e\u5176\u6bd4\u62fc\u3002<\/p>\n

OpenAI \u9000\u51fa\u4e2d\u56fd\u5e02\u573a\u540e\uff0c\u5bf9\u56fd\u5185\u6a21\u578b\u56e2\u961f\u7684\u5f71\u54cd\u6709\u9650\u3002\u4e00\u4f4d\u7aef\u4fa7\u6a21\u578b\u4ece\u4e1a\u8005\u544a\u8bc9 AI \u79d1\u6280\u8bc4\u8bba\uff0cOpenAI \u5728 Mini \u6a21\u578b\u4e0a\u7684\u8fd9\u4e00\u4e3e\u52a8\uff0c\u6216\u8bb8\u662f\u4e3a\u4e86\u54cd\u5e94\u7845\u8c37\u667a\u80fd\u786c\u4ef6\u5174\u8d77\u7684\u6d6a\u6f6e\uff0c\u540c\u65f6\u5bf9\u82f9\u679c AI \u5728\u7aef\u4fa7\u80fd\u529b\u4e0a\u7684\u9700\u6c42\u4f5c\u51fa\u53cd\u5e94\u3002<\/p>\n

\u4ece\u4eca\u5e74\u4e0a\u534a\u5e74\u5f00\u59cb\uff0c\u82f9\u679c AI \u56e2\u961f\u76f8\u7ee7\u53d1\u5e03\u5176\u5728\u624b\u673a\u7aef\u4fa7\u4e0a\u8fd0\u7528\u7684 AI \u6210\u679c\uff0c\u5982 Ferret-UI\u3001OpenELM\u3001MM1 \u7b49\u7b49\uff0c\u5bf9\u6a21\u578b\u843d\u5230\u7aef\u4fa7\u8d77\u4e86\u5f00\u5934\u3002\u76f8\u5f53\u4e8e\uff0c\u82f9\u679c\u5df2\u7ecf\u5728\u624b\u673a AI \u7aef\u51fa\u4e86\u5f00\u5377\u8003\u8bd5\uff0c\u63a5\u4e0b\u6765\u5404\u5bb6\u6a21\u578b\u5382\u5546\u4e0e\u624b\u673a\u5382\u5546\u90fd\u8981\u601d\u8003\u5982\u4f55\u7b54\u9898\u3002<\/p>\n

\u56fd\u4ea7\u5c0f\u6a21\u578b\u4e0d\u8f93 OpenAI<\/span><\/strong><\/p>\n

\u800c\u6839\u636e\u4ee5\u5f80\u6210\u679c\u53d1\u5e03\uff0c\u56fd\u4ea7\u5927\u6a21\u578b\u56e2\u961f\u5728\u6587\u672c\u5c0f\u6a21\u578b\u3001\u4e43\u81f3\u591a\u6a21\u6001\u5c0f\u6a21\u578b\u4e0a\u7684\u80fd\u529b\u4e5f\u8868\u73b0\u5353\u7136\uff1a<\/p>\n

\u4eca\u5e74 4 \u6708\uff0c\u5546\u6c64\u53d1\u5e03\u4e861.8B\uff0818\u4ebf\uff09\u53c2\u6570\u89c4\u6a21\u7684 SenseChat-Lite\u7248\u672c\uff0c\u4f5c\u4e3a\u7aef\u4fa7\u6a21\u578b\uff0c\u4ea4\u4e92\u4f53\u9a8c\u5bf9\u6807GPT-4\uff0c\u5f53\u65f6\u6027\u80fd\u5df2\u5b9e\u73b0\u540c\u7b49\u5c3a\u5ea6\u6027\u80fd\u6700\u4f18\u3002<\/p>\n

\u540e\u6765\uff0c\u5728 WAIC \u671f\u95f4\uff0c\u5546\u6c64\u53c8\u518d\u6b21\u8fdb\u884c\u7aef\u4fa7\u6a21\u578b\u7684\u66f4\u65b0\uff0c\u8f83 4 \u6708\u63a8\u51fa\u7684\u7248\u672c\u9996\u5305\u8017\u65f6\u964d\u4f4e 40%\uff0c\u901f\u5ea6\u66f4\u5feb\u3002<\/p>\n

\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4 OpenGV Lab \u7684 InternVL \u4e5f\u662f\u4e2d\u56fd\u591a\u6a21\u6001\u5c0f\u6a21\u578b\u7684\u7cfb\u5217\u5178\u8303\u3002\u4ece InternVL-Chat-V1.5 \u5230\u4e66\u751f\u4e07\u8c61 Intern VL 2.0\uff0cOpenGV Lab \u56e2\u961f\u5f00\u6e90\u4e86\u4ece\u591a\u6a21\u6001\u6a21\u578b\u7cfb\u5217\uff0c\u53c2\u6570\u89c4\u6a21\u4ece 1B \u5230 76B \u4e0d\u7b49\uff0c\u5176\u4e2d\u5c0f\u6a21\u578b\u6700\u9ad8 8B\u3001\u6700\u5c0f 1B\uff0c\u5747\u53ef\u5355\u5361\u90e8\u7f72\u3002\u636e AI \u79d1\u6280\u8bc4\u8bba\u4e86\u89e3\uff0c\u5176 1B \u7248\u672c\u7684\u53c2\u6570\u89c4\u6a21\u5b9e\u9645\u53ea\u6709 938 M\u3002<\/p>\n

\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cOpenGV Lab InternVL \u7cfb\u5217\u7684 26B \u81ea\u5f00\u6e90\u4ee5\u6765\u4e00\u76f4\u662f Hugging Face \u4e0a\u7684\u5f53\u7ea2\u70b8\u5b50\u9e21\uff0c\u4ee5\u5f00\u6e90\u4e0d\u8fc7\u4e24\u5468\u7684 InternVL 2.0 \u4e3a\u4f8b\uff0c\u5176 26B \u5728 Hugging Face \u4e0a\u7684\u4e0b\u8f7d\u91cf\u5df2\u8d85\u8fc7 6000 \u6b21\u3002<\/p>\n

<\/a><\/p>\n

\u540c\u6837\u5728 Mini \u6a21\u578b\u4e0a\u53d1\u529b\u7684\u56fd\u4ea7\u4ee3\u8868\u56e2\u961f\u8fd8\u6709\u9762\u58c1\u667a\u80fd\u3002\u4ed6\u4eec\u5728\u5c0f\u6a21\u578b\u4e0a\u7684\u6210\u679c\u5305\u542b\u57fa\u5ea7\u6a21\u578b\u4e0e\u591a\u6a21\u6001\u6a21\u578b\uff0c\u5728 Hugging Face \u4e0a\u7684\u4e0b\u8f7d\u91cf\u5df2\u7ecf\u8fd1 95 \u4e07\u6b21\uff0cGithub \u4e0a\u83b7\u5f97\u8d85\u8fc7 1 \u4e07\u661f\u6807\uff0c\u8fd9\u4e00\u7aef\u4fa7\u6a21\u578b\u7cfb\u5217\u4e0d\u4ec5\u662f\u5f00\u6e90\u793e\u533a\u53e3\u7891\u4e4b\u4f5c\uff0c\u751a\u81f3\u4e00\u5ea6\u706b\u5230\u5168\u7f51\u70ed\u641c\u7b2c\u4e00\u3002<\/p>\n

\u4eca\u5e74 2 \u6708\uff0c\u9762\u58c1\u7aef\u4fa7\u6a21\u578b\u201c\u5c0f\u94a2\u70ae\u201d\u53d1\u5e03\uff0c\u5177\u5907 GPT-3 \u540c\u7b49\u6027\u80fd\u4f46\u53c2\u6570\u4ec5\u4e3a24\u4ebf\u7684 MiniCPM-2.4B \uff0c\u628a\u77e5\u8bc6\u5bc6\u5ea6\u63d0\u9ad8\u4e86\u5927\u6982 86 \u500d \uff08\u5982\u4e0b\u56fe\u6240\u793a\uff09\uff1a<\/p>\n

<\/a><\/p>\n

\u800c\u540e\u5176\u53c8\u76f8\u7ee7\u5728 4 \u30015\u6708\u53d1\u5e03\u4e862.0\u548c2.5 \u7248\u672c\u3002\u5728 2.5 \u7248\u672c\u4e0a\uff0c\u9762\u58c1 MiniCPM \u4ee5 1% \u7684\u53c2\u6570\u89c4\u6a21\uff0c\u5f62\u6210\u4e86\u53ef\u4ee5\u8ddfGPT-4V \u548c Gemini Pro \u591a\u6a21\u6001\u80fd\u529b\u5bf9\u6807\u7684\u6027\u80fd\uff0c\u6a21\u578b\u53c2\u6570\u53ea\u6709 8B \u5927\u5c0f\uff0c\u80fd\u591f\u653e\u5230\u7ec8\u7aef\u4e0a\u3002<\/p>\n

\u4eca\u5e747\u6708\uff0c\u9762\u58c1\u65b0\u53d1\u5e03\u7684MiniCPM-S 1.2B \u77e5\u8bc6\u5bc6\u5ea6\u8fbe\u5230\u540c\u89c4\u6a21\u7a20\u5bc6\u6a21\u578b MiniCPM 1.2B \u7684 2.57 \u500d\uff0cMistral-7B \u7684 12.1 \u500d\uff08\u5982\u4e0b\u56fe\u6240\u793a\uff09\uff1a<\/p>\n

<\/a><\/p>\n

\u5728\u9762\u58c1\u770b\u6765\uff0c\u4ed6\u4eec\u505a\u5c0f\u6a21\u578b\u7684\u76ee\u6807\u662f\u201c\u6a21\u578b\u53d8\u5c0f\u7684\u540c\u65f6\u3001\u6548\u679c\u8fd8\u80fd\u53d8\u597d\u201d\u3002<\/p>\n

\u5f53\u524d\uff0c\u9762\u58c1\u6709\u4e24\u6761\u4ea7\u54c1\u7ebf\uff0c\u4e00\u6761\u662f\u57fa\u5ea7\u5927\u6a21\u578b\uff0c\u53e6\u4e00\u6761\u662f\u7ed9\u5927\u6a21\u578b\u505a\u5c0f\u6a21\u578b\uff0c\u5728\u5c0f\u6a21\u578b\u4e0a\u9a8c\u8bc1\u5927\u6a21\u578b\u7684\u6280\u672f\u6781\u9650\u3002\u8fd9\u4e24\u6761\u4ea7\u54c1\u7ebf\uff0c\u5176\u5b9e\u662f\u4e00\u6761\u8def\uff0c\u5c31\u662f\u9762\u58c1\u901a\u5f80 AGI \u7684\u9053\u8def\uff0c\u5927\u6a21\u578b\u4e0e\u5c0f\u6a21\u578b\u96be\u4ee5\u5206\u5f00\u3002\u4e00\u65b9\u9762\uff0c\u8981\u63d0\u5347\u6a21\u578b\u7684\u6548\u7387\uff0c\u8ba9\u6bcf\u4e2a\u53c2\u6570\u53d1\u6325\u66f4\u597d\u7684\u6548\u679c\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u80fd\u5728\u5e94\u7528\u652f\u6301\u7684\u6210\u672c\u4e0b\u505a\u51fa\u6700\u597d\u7684\u6a21\u578b\u3002<\/p>\n

\u800c\u5bf9\u4e8e\u5927\u6a21\u578b\uff0c\u5927\u4f17\u7684\u8ba4\u77e5\u666e\u904d\u5b58\u5728\u504f\u5dee\uff0c\u5b9e\u9645\u4e0a\uff0c\u53c2\u6570\u89c4\u6a21\u5927\u4e0d\u4ee3\u8868\u6a21\u578b\u7684\u80fd\u529b\u5f3a\u3002<\/p>\n

\u4ee5\u9a6c\u65af\u514b\u7684 Grok \u4e3a\u4f8b\uff0cGrok \u7684\u53c2\u6570\u89c4\u6a21\u4e3a 3140 \u4ebf\uff0c\u884c\u5185\u5bf9\u5b83\u7684\u8bc4\u4ef7\u5176\u5b9e\u4e0d\u592a\u597d\uff0c\u6709\u6280\u672f\u4eba\u5458\u53bb\u6d4b\u8fc7\uff0c\u8bf4 Grok \u7684\u6548\u679c\u5927\u6982\u6bd4 Mistral \u7684 8*7B MoE \u7a0d\u5fae\u597d\u4e00\u70b9\u3002\u90a3\u4e48\u5927\u53c2\u6570\u7684\u6a21\u578b\u5b9e\u73b0\u8fd9\u4e48\u5c0f\u7684\u6548\u679c\uff0c\u5176\u5b9e\u662f\u5931\u8d25\u7684\u3002<\/p>\n

\u57282021 \u5e74\u5230 2022 \u5e74\u671f\u95f4\uff0c\u56fd\u5185\u6700\u65e9\u505a\u5927\u6a21\u578b\u7684\u90a3\u6279\u56e2\u961f\u624e\u5806\u5377\u6a21\u578b\u53c2\u6570\u91cf\uff0c\u963f\u91cc\u751a\u81f3\u5c06\u6a21\u578b\u5377\u5230\u4e86 10 \u4e07\u4ebf\u53c2\u6570\u89c4\u6a21\uff08\u975e\u7a20\u5bc6\u6a21\u578b\uff09\u3002<\/p>\n

\u4f46\u5f53\u65f6\u5927\u5bb6\u5bf9\u201c\u5927\u6a21\u578b\u80fd\u505a\u4ec0\u4e48\u201d\u662f\u4e0d\u6e05\u695a\u7684\uff0c\u53ea\u662f\u8ba4\u4e3a\u201c\u5927\u6a21\u578b\u5c31\u662f\u53c2\u6570\u8981\u5927\u201d\uff0c\u5728\u7528\u6237\u4ef7\u503c\u4e0a\uff0c\u4e5f\u5e76\u672a\u8fbe\u5230\u540e\u6765 ChatGPT \u7684\u4f53\u9a8c\u3002ChatGPT \u53d1\u5e03\u540e\uff0c\u5927\u5bb6\u624d\u610f\u8bc6\u5230\u201c\u63d0\u5347\u6a21\u578b\u6548\u679c\u201d\u624d\u662f\u5927\u6a21\u578b\u8bad\u7ec3\u7684\u6b63\u786e\u65b9\u5411\u3002<\/p>\n

\u9762\u58c1\u8ba4\u4e3a\uff0c\u201c\u5c0f\u201d\u6a21\u578b\u7684\u7cbe\u9ad3\u5728\u4e8e\u9ad8\u6548\uff0c\u5c06\u6bcf\u4e2a\u53c2\u6570\u53d1\u6325\u5230\u6700\u5927\u4f5c\u7528\u2014\u2014\u8fd9\u624d\u662f\u5927\u6a21\u578b\u7814\u7a76\u7684\u6b63\u786e\u65b9\u5411\u3002\u4e0d\u7136\u672a\u6765\u5982\u679c\u8fbe\u5230 AGI\uff0c\u4f46 AGI \u6bd4\u4eba\u8fd8\u8d35\uff0c\u90a3\u5c31\u6ca1\u610f\u4e49\u4e86\u3002<\/p>\n

GPT-4o mini \u7684\u53d1\u5e03\u610f\u5473\u7740\u80fd\u7528\u66f4\u5c11\u7684\u63a8\u7406\u7b97\u529b\u6d88\u8017\u5b9e\u73b0\u66f4\u5f3a\u66f4\u9ad8\u6548\u7684\u6a21\u578b\uff0c\u8fd9\u4e5f\u6070\u6070\u9a8c\u8bc1\u4e86\u9762\u58c1\u63d0\u51fa\u7684\u5927\u6a21\u578b\u65f6\u4ee3\u7684\u6469\u5c14\u5b9a\u5f8b\u2014\u2014\u6a21\u578b\u7684\u77e5\u8bc6\u5bc6\u5ea6\u4e0d\u65ad\u63d0\u5347\uff0c\u5176\u4e2d\uff0c\u77e5\u8bc6\u5bc6\u5ea6=\u6a21\u578b\u80fd\u529b \/ \u63a8\u7406\u7b97\u529b\u6d88\u8017\u3002<\/p>\n

\u5c0f\u6a21\u578b\u7684\u201c\u65b0\u201d\u6311\u6218<\/span><\/strong><\/p>\n

\u4ece\u5e74\u521d\u5f00\u59cb\uff0c\u5c0f\u6a21\u578b\u7684\u58f0\u91cf\u5f00\u59cb\u589e\u5927\u3002\u5c0f\u6a21\u578b\u5d1b\u8d77\u540e\uff0c\u65e0\u7591\u5e26\u6765\u4e86\u51e0\u4e2a\u884c\u4e1a\u53d8\u5316\uff1a<\/p>\n

\u9996\u5148\uff0c\u8ba1\u7b97\u6210\u672c\u66f4\u4f4e\u7684 AI \u6a21\u578b\u843d\u5230\u7ec8\u7aef\u786c\u4ef6\u4ea7\u54c1\u4e0a\u7684\u95e8\u69db\u66f4\u4f4e\uff0c\u7aef\u4fa7\u6a21\u578b\u5174\u8d77\u3002\u5728\u6b64\u6d6a\u6f6e\u4e2d\uff0c\u6a21\u578b\u5c42\u5382\u5546\u5982\u9762\u58c1\u667a\u80fd\u3001\u624b\u673a\u5382\u5546\u5982\u82f9\u679c\u534e\u7c73OV \u7b49\u4e5f\u7eb7\u7eb7\u5165\u5c40\uff0c\u7aef\u4fa7\u6a21\u578b\u7684\u521b\u4e1a\u4e5f\u8fce\u6765\u66f4\u591a\u73a9\u5bb6\u3002<\/p>\n

\u7aef\u4fa7\u6a21\u578b\u867d\u7136\u662f\u201c\u5c0f\u201d\u6a21\u578b\uff0c\u4f46\u5176\u667a\u80fd\u6c34\u5e73\u4e5f\u79bb\u4e0d\u5f00\u4e00\u4e2a\u57fa\u7840\u7684\u5927\u6a21\u578b\uff0c\u540c\u65f6\u9700\u8981\u5177\u5907\u4e30\u5bcc\u7684\u8bad\u7ec3\u6570\u636e\u4e0e\u5b8c\u5584\u7684\u6570\u636e\u5de5\u7a0b\u7cfb\u7edf\uff0c\u624d\u80fd\u505a\u53ef\u63a7\u7684\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u7aef\u4fa7\u6a21\u578b\u5f80\u5f80\u8981\u4e0e\u5177\u4f53\u7684\u884c\u4e1a\u4e0e\u7279\u5b9a\u9886\u57df\u76f8\u7ed3\u5408\u3002<\/p>\n

\u4e0e\u6b64\u540c\u65f6\uff0c\u7aef\u4fa7\u6a21\u578b\u9700\u8981\u7ed3\u5408\u6a21\u578b\u3001\u786c\u4ef6\u4e0e\u8ba1\u7b97\u3002\u636e\u4e86\u89e3\uff0c\u5f53\u524d\u4e3b\u6d41\u82af\u7247\u5382\u5546\u5728\u7aef\u4fa7 AI \u82af\u7247\u4e0a\u7684\u4f9b\u7ed9\u6210\u672c\u4ecd\u6ca1\u6253\u4e0b\u6765\u3002\u4e00\u4f4d\u4e1a\u8005\u544a\u8bc9 AI \u79d1\u6280\u8bc4\u8bba\uff0c\u67d0\u77e5\u540d\u82af\u7247\u5382\u5546\u7684\u62a5\u4ef7\u662f 300 \u7f8e\u91d1\u4e00\u53f0\u8bbe\u5907\uff0c\u6298\u7b97\u4e0b\u6765\u8d85\u8fc7 2000 \u5143\u4eba\u6c11\u5e01\uff0c\u73b0\u9636\u6bb5\u80fd\u652f\u6491\u8d77\u5982\u6b64\u9ad8\u6602\u7684\u8ba1\u7b97\u6210\u672c\u7684\u786c\u4ef6\u8bbe\u5907\u53ea\u6709\u6c7d\u8f66\u3001\u533b\u7597\u7b49\u9ad8\u7aef\u884c\u4e1a\u3002<\/p>\n

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