{"id":38766,"date":"2025-02-22T18:01:01","date_gmt":"2025-02-22T10:01:01","guid":{"rendered":"https:\/\/17aitech.com\/?p=38766"},"modified":"2025-02-22T18:01:01","modified_gmt":"2025-02-22T10:01:01","slug":"%e7%ab%af%e4%be%a7chatgpt%e6%97%b6%e5%88%bb%ef%bc%81%e8%bf%99%e5%ae%b6%e6%b8%85%e5%8d%8e%e7%b3%bb%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%85%ac%e5%8f%b8%e8%b5%b6%e5%9c%a8openai%e3%80%81%e8%8b%b9%e6%9e%9c","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38766","title":{"rendered":"\u7aef\u4fa7ChatGPT\u65f6\u523b\uff01\u8fd9\u5bb6\u6e05\u534e\u7cfb\u5927\u6a21\u578b\u516c\u53f8\u8d76\u5728OpenAI\u3001\u82f9\u679c\u4e4b\u524d"},"content":{"rendered":"

\u4e0b\u5468\u82f9\u679c\u5373\u5c06\u53ec\u5f00\u53d1\u5e03\u4f1a\u4e86\uff01<\/p>\n

\u4f46\u6700\u4ee4\u7b14\u8005\u671f\u5f85\u7684\u4e0d\u662f iphone16\uff0c\u800c\u662f\u82f9\u679c\u4eca\u5e74\u63d0\u51fa\u7684 Apple Intelligence \u7684\u8fdb\u5c55\uff0c\u8fd9\u662f\u82f9\u679c\u4eca\u5e74\u8fdb\u519b\u7aef\u4fa7 AI \u7684\u4e00\u5927\u6740\u624b\u950f\u3002<\/p>\n

\u5176\u5b9e\u65e9\u5728\u4eca\u5e74\u5e74\u521d\uff0c\u56fd\u5185\u5c31\u6709\u4e00\u5bb6\u5f53\u65f6\u8fd8\u540d\u4e0d\u89c1\u7ecf\u4f20\u7684\u5927\u6a21\u578b\u516c\u53f8\u7387\u5148\u558a\u51fa \u201c\u7aef\u4fa7AI\u662f\u672a\u6765\u5927\u8d8b\u52bf\u201d\u7684\u53e3\u53f7\uff0c\u5f53\u65f6\u8fd8\u6ca1\u6709\u592a\u591a\u73a9\u5bb6\u610f\u8bc6\u5230\u7aef\u4fa7AI\u7684\u91cd\u8981\u6027\u3002\u4ec5\u4ec5\u534a\u5e74\u540e\uff0c\u8c37\u6b4c\u3001\u82f9\u679c\u7b49\u5de8\u5934\u5c31\u7eb7\u7eb7\u6389\u5934\u8f6c\u5411\uff0c\u5f00\u59cb\u5927\u6a21\u578b\u53cd\u5377\u5c0f\u578b\u5316\uff0c\u5c31\u8fde OpenAI \u4e5f\u4e00\u53cd\u201c\u5927\u529b\u51fa\u5947\u8ff9\u201d\u7684\u5e38\u6001\uff0c\u4e0d\u5f97\u4e0d\u987a\u5e94\u7aef\u4fa7AI\u5927\u8d8b\u52bf\uff0c\u63a8\u51fa\u7684\u66f4\u5c0f\u3001\u66f4\u4fbf\u5b9c\u3001\u66f4\u9ad8\u6548\u7684 GPT-4o mini\u3002<\/p>\n

\u53ef\u4ee5\u8bf4\uff0c\u7aef\u4fa7AI \u5df2\u7136\u6210\u4e3a\u4e86\u5927\u6a21\u578b\u5fc5\u4e89\u4e4b\u5730\uff01<\/p>\n

\u7136\u800c\u5c31\u5728\u82f9\u679c\u53d1\u5e03\u4f1a\u4e00\u5468\u524d\u8fd9\u4e2a\u65f6\u95f4\u70b9\uff0c\u540c\u6837\u662f\u8fd9\u5bb6\u56fd\u5185\u5927\u6a21\u578b\u516c\u53f8\uff0c\u7387\u5148\u628a\u300c ChatGPT \u300d\u8dd1\u5728\u4e86\u7aef\u4fa7\uff01\u5ba3\u544a\u4e86\u7aef\u4fa7 ChatGPT \u65f6\u523b\u7684\u5230\u6765\uff01\u800c\u4e14\u8fd8\u5728\u8d76\u5728OpenAI\u3001\u8c37\u6b4c\u3001\u82f9\u679c\u7b49\u5de8\u5934\u4e4b\u524d\u3002<\/p>\n

\u6ca1\u9519\uff0c\u8fd9\u5bb6\u516c\u53f8\u5c31\u662f\u9762\u58c1\u667a\u80fd\uff0c\u4eca\u5929\u521a\u521a\u53d1\u5e03\u4e86\u65b0\u4e00\u4ee3\u57fa\u5ea7\u6a21\u578b\u9762\u58c1\u5c0f\u94a2\u70ae MiniCPM 3.0 \uff0c\u518d\u6b21\u4ee5\u5c0f\u535a\u5927\uff0c\u4ee5 4B \u53c2\u6570\uff0c\u5e26\u6765\u8d85\u8d8a GPT-3.5 \u7684\u6027\u80fd\uff0c\u5f3a\u5f97\u4e0d\u50cf\u7aef\u4fa7\u6a21\u578b\u3002<\/p>\n

\u8fd9\u8fd8\u662f\u4e00\u6b3e\u745e\u58eb\u519b\u5200\u822c\u5168\u9762\u5f00\u6302\u7684\u57fa\u5ea7\u6a21\u578b\uff0c\u4e00\u53e3\u6c14\u5e26\u6765\uff1a<\/p>\n

\u65e0\u9650\u957f\u6587\u672c\uff0c\u699c\u5355\u6027\u80fd\u8d85\u8d8a Kimi\uff0c\u8d85\u957f\u6587\u672c\u4e5f\u4e0d\u5d29\uff1b<\/p>\n

\u6027\u80fd\u6bd4\u80a9 GPT-4o \u7684\u7aef\u4fa7\u6700\u5f3a Function Calling\uff1b<\/p>\n

\u8d85\u5f3a RAG \u5916\u6302\u4e09\u4ef6\u5957\uff0c\u4e2d\u6587\u68c0\u7d22\u7b2c\u4e00\u3001\u751f\u6210\u8d85 Llama3-8B\u3002<\/p>\n

\u27a4 \u00a0MiniCPM 3.0 \u5f00\u6e90\u5730\u5740\uff1a<\/p>\n

GitHub\uff1ahttps:\/\/github.com\/OpenBMB\/MiniCPM<\/p>\n

HuggingFace\uff1ahttps:\/\/huggingface.co\/openbmb\/MiniCPM3-4B<\/p>\n

<\/p>\n

1.\u8ba9 \u300cGPT-3.5 \u300d\u5728\u7aef\u4fa7\u8dd1\u8d77\u6765\uff0c\u9762\u58c1\u63d0\u524d\u5151\u73b0\u627f\u8bfa<\/strong><\/p>\n

\u4eca\u5e74\u5e74\u521d\uff0c\u9762\u58c1\u5728\u521d\u4ee3\u9762\u58c1\u5c0f\u94a2\u70ae\u53d1\u5e03\u65f6\u7acb\u4e0b Flag\uff1a\u4eca\u5e74\u5185\u8ba9 GPT-3.5 \u6c34\u5e73\u7684\u6a21\u578b\u5728\u7aef\u4fa7\u8dd1\u8d77\u6765\uff01<\/p>\n

\u6ca1\u60f3\u5230\uff0c\u9762\u58c1\u667a\u80fd\u603b\u662f\u80fd\u7ed9\u4eba\u60ca\u559c\uff0c\u4ed6\u4eec\u63d0\u524d\u5151\u73b0\u4e86\u627f\u8bfa\uff0c\u63d0\u524d\u8fd1 4 \u4e2a\u6708\u5c06\u5176\u5b9e\u73b0\uff01<\/p>\n

MiniCPM 3.0 \u518d\u6b21\u6316\u6398\u7aef\u4fa7\u6a21\u578b\u7684\u6781\u81f4\u6027\u80fd\uff0c\u4ec5 4B \u53c2\u6570\uff0c\u5728\u5305\u62ec\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u3001\u77e5\u8bc6\u3001\u4ee3\u7801\u3001\u6570\u5b66\u7b49\u591a\u9879\u80fd\u529b\u4e0a\u5bf9 GPT-3.5 \u5b9e\u73b0\u8d76\u8d85\uff0c\u5728 Qwen2-7B\u3001 Phi-3.5\u3001GLM4-9B\u3001LLaMa3-8B \u7b49\u4e00\u4f17\u4e2d\u5916\u77e5\u540d\u6a21\u578b\u8131\u9896\u800c\u51fa\u3002<\/p>\n

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

<\/p>\n

2.\u5927\u6a21\u578b\u79d1\u5b66\u5316\u65b9\u6cd5\u8bba\u6307\u5bfc\uff0c\u9762\u58c1\u5b9a\u5f8b\u518d\u843d\u4e00\u5b50<\/strong><\/p>\n

\u4e3a\u4f55\u6bcf\u4e00\u4ee3\u9762\u58c1\u5c0f\u94a2\u70ae\u57fa\u5ea7\u6a21\u578b\u7684\u53d1\u5e03\uff0c\u90fd\u4ee5\u5c0f\u535a\u5927\uff0c\u62e5\u6709\u8d85\u9884\u671f\u7684\u9ad8\u6548\u4e0e\u5f3a\u608d\uff1f<\/p>\n

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

\u80cc\u540e\u539f\u56e0\uff0cAI\u79d1\u6280\u8bc4\u8bba\u65e9\u5728\u534a\u5e74\u524d\u5c31\u66fe\u6df1\u5165\u6316\u6398\u5e76\u62a5\u9053\uff1a\u88ab\u4f4e\u4f30\u7684\u9762\u58c1\uff1a\u6253\u9020\u51fa\u4e0d\u8f93 OpenAI \u7684 Scaling Law \u66f2\u7ebf<\/p>\n

\u9762\u58c1\u7d27\u7d27\u56f4\u7ed5 Scaling Law \u7684\u6838\u5fc3\uff0c\u9ad8\u6548\u6784\u5efa\u4e86\u5927\u6a21\u578b\u7684\u79d1\u5b66\u5316\u65b9\u6cd5\u8bba\uff0c\u5c06\u63d0\u5347\u77e5\u8bc6\u5bc6\u5ea6\u89c6\u4e3a\u9ad8\u6548\u5927\u6a21\u578b\u7684\u7b2c\u4e00\u6027\u539f\u7406\uff08\u77e5\u8bc6\u5bc6\u5ea6 =\u6a21\u578b\u80fd\u529b\/\u53c2\u4e0e\u8ba1\u7b97\u7684\u6a21\u578b\u53c2\u6570\uff09\uff0c\u5e76\u4e14\u63d0\u51fa\u4e86\u5927\u6a21\u578b\u65f6\u4ee3\u7684\u300c\u6469\u5c14\u5b9a\u5f8b\u300d\uff1a\u6a21\u578b\u77e5\u8bc6\u5bc6\u5ea6\u4e0d\u65ad\u63d0\u5347\uff0c\u5e73\u5747\u6bcf 8 \u4e2a\u6708\u63d0\u5347\u4e00\u500d\uff0c\u79f0\u4e4b\u4e3a\u300c\u9762\u58c1\u5b9a\u5f8b\u300d\u3002<\/p>\n

\u8fd9\u4e00\u5e74\u6765\uff0c\u9762\u58c1\u5728\u81ea\u5bb6\u7684\u5927\u6a21\u578b\u79d1\u5b66\u5316\u65b9\u6cd5\u8bba\u6307\u5bfc\u4e0b\uff0c\u5386\u7ecf\u6570\u6b21\u8c03\u6574\uff0c\u6784\u5efa\u4e86\u5168\u65b0\u6280\u672f\u67b6\u6784\uff0c\u4e8e\u9762\u58c1\u5b9a\u5f8b\u7684\u8d8b\u52bf\u66f2\u7ebf\u518d\u843d\u4e00\u5b50\u3002<\/p>\n

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

\u4e0d\u6b62\u662f\u57fa\u5ea7\u6a21\u578b\uff0c\u9762\u58c1\u7684\u591a\u6a21\u6001\u6a21\u578b\u540c\u6837\u4f18\u79c0\u7684\u4e0d\u50cf\u662f\u6b3e\u7aef\u4fa7\u6a21\u578b\uff01<\/p>\n

\u4ed6\u4eec\u4e00\u4e2a\u6708\u524d\u53d1\u5e03\u7684 MiniCPM-V 2.6\uff0c\u9996\u6b21\u5728\u7aef\u4fa7\u5b9e\u73b0\u5355\u56fe\u3001\u591a\u56fe\u3001\u89c6\u9891\u7406\u89e3\u7b49\u591a\u6a21\u6001\u6838\u5fc3\u80fd\u529b\u5168\u9762\u8d85\u8d8aGPT-4V\uff0c\u4e09\u9879\u80fd\u529b\u5747\u53d6\u5f97 20B \u4ee5\u4e0b SOTA \u6210\u7ee9\uff0c\u5355\u56fe\u7406\u89e3\u8d8a\u7ea7\u6bd4\u80a9 Gemini 1.5 Pro \u548c GPT-4o mini\u3002<\/p>\n

\u603b\u7ed3\u6765\u8bf4\uff1a<\/p>\n

\u57fa\u5ea7\u6a21\u578b\u65b9\u9762\uff1a\u9762\u58c1\u7387\u5148\u8ba9 \u300cGPT-3.5 \u300d\u5728\u7aef\u4fa7\u8dd1\u8d77\u6765\uff1b<\/p>\n

\u591a\u6a21\u6001\u6a21\u578b\u65b9\u9762\uff1a\u9762\u58c1\u540c\u6837\u7387\u5148\u8ba9\u300cGPT-4V\u300d\u8dd1\u5728\u624b\u673a\u4e0a\uff01<\/p>\n

\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u4e00\u4e0b\u9762\u58c1\u65b0\u4e00\u4ee3\u6027\u80fd\u8d85\u8d8a GPT-3.5\u7684 \u9762\u58c1\u5c0f\u94a2\u70ae MiniCPM 3.0\u3002<\/p>\n

<\/p>\n

3.\u9876\u5c16\u5b9e\u529b\u5927\u96c6\u7ed3\uff0c\u5927\u6a21\u578b\u4e2d\u7684\u201c\u745e\u58eb\u519b\u5200\u201d<\/strong><\/p>\n

\u65b0\u4e00\u4ee3\u5c0f\u94a2\u70ae\u96c6\u957f\u6587\u672c\u3001Function Call \u4e0e RAG \u7b49\u5927\u6a21\u578b\u91cd\u8981\u80fd\u529b\u4e8e\u4e00\u8eab\uff0c\u5c0f\u800c\u5f3a\uff0c\u5c0f\u800c\u5168\u3002\u4ec54B\u4f53\u91cf\uff0c\u5728\u8fd9\u4e9b\u547c\u58f0\u6781\u9ad8\u7684\u6a21\u578b\u529f\u80fd\u4e0a\uff0cMiniCPM 3.0 \u96c6\u7ed3\u5404\u5bb6\u6240\u957f\uff0c\u5e76\u4e14\u5bf9\u4e1a\u754c\u9887\u6709\u53e3\u7891\u7684\u6a21\u578b\u5b9e\u73b0\u8d85\u8d8a\uff0c\u582a\u79f0\u662f\u5927\u6a21\u578b\u4e2d\u7684\u201c\u745e\u58eb\u519b\u5200\u201d\u3002<\/p>\n

\u9762\u58c1\u300c\u65e0\u9650\u300d\u957f\u6587\u672c\uff0c\u6027\u80fd\u8d85 Kimi\uff1a\u957f\u957f\u957f\u6587\u672c\u4e0d\u5d29\uff01<\/strong><\/p>\n

\u4e0a\u4e0b\u6587\u957f\u5ea6\u662f\u8861\u91cf\u5927\u6a21\u578b\u57fa\u7840\u80fd\u529b\u7684\u4e00\u9879\u91cd\u8981\u6307\u6807\uff0c\u66f4\u957f\u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u610f\u5473\u5927\u6a21\u578b\u62e5\u6709\u66f4\u5927\u7684\u201c\u5185\u5b58\u201d\u548c\u66f4\u957f\u7684\u201c\u8bb0\u5fc6\u201d\uff0c\u4e0d\u4ec5\u80fd\u63d0\u9ad8\u5927\u6a21\u578b\u5904\u7406\u6570\u636e\u7684\u80fd\u529b\u4e0a\u9650\uff0c\u8fd8\u80fd\u62d3\u5bbd\u5927\u6a21\u578b\u5e94\u7528\u7684\u5e7f\u5ea6\u548c\u6df1\u5ea6\u3002<\/p>\n

\u9762\u58c1\u63d0\u51fa LLMxMapReduce\u957f\u672c\u6587\u5206\u5e27\u5904\u7406\u6280\u672f \u00a0\uff0c\u4e00\u4e3e\u5b9e\u73b0\u300c\u65e0\u9650\u300d\u957f\u6587\u672c\uff0132, 128, 256, 512K\u2026MiniCPM 3.0 \u6253\u7834\u5927\u6a21\u578b\u8bb0\u5fc6\u9650\u5236\uff0c\u53ef\u4ee5\u5c06\u4e0a\u4e0b\u6587\u957f\u5ea6\u65e0\u9650\u7a33\u5b9a\u62d3\u5c55\uff0c\u60f3\u591a\u957f\u5c31\u591a\u957f\uff01<\/p>\n

\u9664\u4e86\u8d85\u8d8a GPT-4\u3001KimiChat \u7b49\u6807\u6746\u6a21\u578b\u7684\u4f18\u5f02\u8868\u73b0\uff08 InfiniteBench \u699c\u5355\u6210\u7ee9\uff09\uff1b\u66f4\u795e\u5947\u7684\u662f\uff0c\u6587\u672c\u8d8a\u957f\uff0c\u8fd9\u4e2a4B\u5c0f\u94a2\u70ae\u51ed\u501f\u6108\u52a0\u7a33\u5b9a\u7684\u8868\u73b0\uff0c\u5c55\u73b0\u51fa\u7684\u6027\u80fd\u4f18\u52bf\u8d8a\u5f3a\u3002<\/p>\n

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

InfiniteBench\u5927\u6a21\u578b\u957f\u6587\u672c\u80fd\u529b\u7684\u6743\u5a01\u8bc4\u6d4b\u96c6
\n\u68c0\u7d22\u3001\u6570\u5b66\u3001\u4ee3\u7801\u3001\u95ee\u7b54\u548c\u6458\u8981\u7b49\u591a\u7ef4\u5ea6\u80fd\u529b\u8bc4\u4f30<\/p>\n

\u2460 MiniCPM 3.0 \u8868\u73b0\u8d85\u8d8a GPT-4\u3001KimiChat\u3001Qwen2-70B\uff1b<\/p>\n

\u2461 \u5343\u4ebf\u6a21\u578b Qwen2-70B\u3001Llama3-70b \u7ed3\u5408LLMxMapReduce\u4e5f\u53d6\u5f97\u66f4\u4f73\u8868\u73b0\u3002<\/p>\n

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

InfiniteBench Zh.QA \u8bc4\u6d4b\u7ed3\u679c\u663e\u793a\uff0c4B\u53c2\u6570\u7684\u9762\u58c1\u5c0f\u94a2\u70ae\u6574\u4f53\u6027\u80fd\u4f18\u4e8eKimi\uff0c\u5728\u66f4\u957f\u7684\u6587\u672c\u4e0a\u8868\u73b0\u51fa\u76f8\u8f83\u66f4\u5f3a\u7684\u7a33\u5b9a\u6027\u3002<\/p>\n

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

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

LLMxMapReduce \u6280\u672f\u6846\u67b6\u56fe<\/p>\n

\u62e5\u6709\u65e0\u9650\u4e0a\u4e0b\u6587\uff0c \u53ef\u4ee5\u8ba9\u6a21\u578b\u4e00\u6b21\u6027\u8bfb\u53d6\u4e0d\u9650\u5b57\u6570\u7684\u4e66\u7c4d\u6216\u4e0d\u9650\u91cf\u7684\u5b66\u672f\u8bba\u6587\u3001\u7b80\u5386\u7b49\u6750\u6599\uff0c\u6210\u4e3a\u4f60\u8eab\u8fb9\u66f4\u52a0\u5f3a\u5927\u7684\u7ec8\u7aef\u4e2a\u4eba\u52a9\u624b\u3002\u6a21\u578b\u8fd8\u53ef\u4ee5\u8bfb\u53d6\u4f60\u7684\u5927\u4f17\u70b9\u8bc4\u7f8e\u98df\u3001\u9152\u5e97\u8bc4\u4ef7\u3001\u5fae\u535a\u4e92\u52a8\u5185\u5bb9\uff0c\u5e76\u7262\u7262\u8bb0\u4f4f\u4f60\u548cAI \u8de8\u8d8a\u591a\u5e74\u7684\u804a\u5929\u8bb0\u5f55\uff0c\u6210\u4e3a\u6700\u61c2\u4f60\u7684AI\u966a\u4f34\u8005\u3002<\/p>\n

GPT-4o \u7ea7 Function calling \uff0c\u7ec8\u7aefAgent\u5e94\u7528\u84c4\u52bf\u5f85\u53d1<\/strong><\/p>\n

\u667a\u80fd\u4f53\u5e94\u7528\u662f\u7aef\u4fa7AI \u5fc5\u4e89\u4e4b\u5730\uff0c\u5176\u4e2d\u4e00\u9879\u81f3\u5173\u91cd\u8981\u7684\u6280\u672f\u662f Function Calling\uff08\u51fd\u6570\u8c03\u7528\uff09\uff0c\u5b83\u80fd\u591f\u5c06\u7528\u6237\u6a21\u7cca\u5316\u7684\u8f93\u5165\u8bed\u4e49\u8f6c\u6362\u4e3a\u673a\u5668\u53ef\u4ee5\u7cbe\u786e\u7406\u89e3\u6267\u884c\u7684\u7ed3\u6784\u5316\u6307\u4ee4\uff0c\u5e76\u8ba9\u5927\u6a21\u578b\u8fde\u63a5\u5916\u90e8\u5de5\u5177\u548c\u7cfb\u7edf\uff0c\u4f8b\u5982\u901a\u8fc7\u8bed\u97f3\u5728\u624b\u673a\u4e0a\u8c03\u7528\u65e5\u5386\u3001\u5929\u6c14\u3001\u90ae\u4ef6\u3001\u6d4f\u89c8\u5668\u7b49 APP \u6216\u76f8\u518c\u3001\u6587\u4ef6\u7b49\u672c\u5730\u6570\u636e\u5e93\uff0c\u4ece\u800c\u6253\u5f00\u7ec8\u7aef\u8bbe\u5907 Agent \u5e94\u7528\u7684\u65e0\u9650\u53ef\u80fd\uff0c\u4e5f\u8ba9\u4eba\u673a\u4ea4\u4e92\u66f4\u52a0\u81ea\u7136\u548c\u65b9\u4fbf\u3002<\/p>\n

MiniCPM 3.0 \u62e5\u6709\u7aef\u4fa7\u6700\u5f3a Function calling \u6027\u80fd \uff0c\u5728\u6743\u5a01\u8bc4\u6d4b\u699c\u5355 Berkeley Function-Calling Leaderboard \u4e0a\uff0c\u5176\u6027\u80fd\u63a5\u8fd1 GPT-4o\uff0c\u5e76\u8d85\u8d8a Llama 3.1-8B\u3001Qwen-2-7B\u3001GLM-4-9B \u7b49\u4f17\u591a\u6a21\u578b\u3002<\/p>\n

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

RAG \u5916\u6302\u4e09\u4ef6\u5957\uff0c\u4e2d\u6587\u68c0\u7d22\u7b2c\u4e00\uff0c\u751f\u6210\u8d85 Llama3-8B<\/strong><\/p>\n

\u7aef\u4fa7\u6a21\u578b\u4e5f\u80fd\u5f00\u5916\u6302\uff0cRAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u6280\u672f\uff09\u8ba9\u6a21\u578b\u5f15\u7528\u5916\u90e8\u77e5\u8bc6\u5e93\uff0c\u68c0\u7d22\u5230\u6700\u65b0\u3001\u6700\u53ef\u9760\u7684\u4e13\u4e1a\u77e5\u8bc6\uff0c\u786e\u4fdd\u751f\u6210\u5185\u5bb9\u66f4\u52a0\u53ef\u4fe1\uff0c\u5927\u5927\u51cf\u5c11\u5927\u6a21\u578b\u7684\u5e7b\u89c9\u95ee\u9898\u3002\u5927\u6a21\u578b+RAG \u5728\u884c\u4e1a\u4e2d\u6781\u5176\u5b9e\u7528\uff0c\u5c24\u5176\u662f\u5bf9\u6cd5\u5f8b\u3001\u533b\u7597\u7b49\u4f9d\u8d56\u4e13\u4e1a\u77e5\u8bc6\u5e93\u3001\u5bf9\u5927\u6a21\u578b\u5e7b\u89c9\u5bb9\u5fcd\u5ea6\u6781\u4f4e\u7684\u5782\u76f4\u884c\u4e1a\u3002<\/p>\n

\u6211\u4eec\u4e00\u53e3\u6c14\u5e26\u6765\u8d85\u5f3a RAG \u5916\u6302\u4e09\u4ef6\u5957\uff1aMiniCPM-Embedding\uff08\u68c0\u7d22\u6a21\u578b\uff09\u3001MiniCPM-Reranker\uff08\u91cd\u6392\u5e8f\u6a21\u578b\uff09\u548c\u9762\u5411 RAG \u573a\u666f\u7684 LoRA \u63d2\u4ef6\uff08\u751f\u6210\u6a21\u578b\uff09\uff0c\u6b3e\u6b3e\u4f18\u79c0\uff1a<\/p>\n

MiniCPM-Embedding\uff08\u68c0\u7d22\u6a21\u578b\uff09\u4e2d\u82f1\u8de8\u8bed\u8a00\u68c0\u7d22\u53d6\u5f97 SOTA \u6027\u80fd\uff0c\u5728\u8bc4\u4f30\u6a21\u578b\u6587\u672c\u5d4c\u5165\u80fd\u529b\u7684\u6743\u5a01\u8bc4\u6d4b\u96c6 MTEB \u7684\u68c0\u7d22\u699c\u5355\u4e0a\u4e2d\u6587\u7b2c\u4e00\u3001\u82f1\u6587\u7b2c\u5341\u4e09 \uff1b<\/p>\n

MiniCPM-Reranker\uff08\u91cd\u6392\u5e8f\u6a21\u578b\uff09\u5728\u4e2d\u6587\u3001\u82f1\u6587\u3001\u4e2d\u82f1\u8de8\u8bed\u8a00\u6d4b\u8bd5\u4e0a\u53d6\u5f97 SOTA \u6027\u80fd \uff1b<\/p>\n

\u7ecf\u8fc7\u9488\u5bf9 RAG \u573a\u666f\u7684 LoRA \u8bad\u7ec3\u540e\uff0cMiniCPM 3.0-RAG-LoRA \u5728\u5f00\u653e\u57df\u95ee\u7b54\uff08NQ\u3001TQA\u3001MARCO\uff09\u3001\u591a\u8df3\u95ee\u7b54\uff08HotpotQA\uff09\u3001\u5bf9\u8bdd\uff08WoW\uff09\u3001\u4e8b\u5b9e\u6838\u67e5\uff08FEVER\uff09\u548c\u4fe1\u606f\u586b\u5145\uff08T-REx\uff09\u7b49\u591a\u9879\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\u8868\u73b0\uff0c\u8d85\u8d8a Llama3-8B \u548c Baichuan2-13B \u7b49\u4e1a\u5185\u4f18\u79c0\u6a21\u578b\u3002<\/p>\n

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

<\/p>\n

4.\u5b89\u5168\uff0c\u53ef\u9760\uff0c\u76ae\u5b9e\uff0c\u7aef\u4fa7\u5927\u6a21\u578b\u5c31\u770b\u9762\u58c1\u5c0f\u94a2\u70ae<\/strong><\/p>\n

\u8f7b\u3001\u5feb\u3001\u9ad8\u6548\u4f4e\u6210\u672c\uff0c\u66f4\u53cb\u597d\u7684\u7aef\u4fa7\u4f53\u9a8c\uff0c\u662f\u9762\u58c1\u5c0f\u94a2\u70ae\u7cfb\u5217\u4e00\u4ee5\u8d2f\u4e4b\u7684\u4f18\u70b9\u3002MiniCPM 3.0 \u91cf\u5316\u540e\u4ec5 2.2 G \u5185\u5b58\uff0c\u7aef\u4fa7\u5e94\u7528\u5341\u5206\u53cb\u597d\u3002<\/p>\n

\u76f8\u6bd4\u4e91\u7aef\u6a21\u578b\uff0c\u9762\u58c1\u5c0f\u94a2\u70ae MiniCPM \u7cfb\u5217\u6a21\u578b\u6709\u4e00\u9897\u966a\u4f60\u884c\u8d70\u4e16\u754c\u7684\u5927\u5fc3\u810f\uff0c\u5929\u7136\u5177\u6709\u5f31\u7f51\u3001\u65ad\u7f51\u53ef\u7528\u3001\u8d85\u4f4e\u65f6\u5ef6\u3001\u6570\u636e\u9690\u79c1\u5b89\u5168\u7b49\u672c\u5730\u4f18\u52bf\u3002\u65e0\u8bba\u662f\u966a\u4f60\u95ef\u8361\u7cbe\u5f69\u8fdc\u65b9\u3001\u52c7\u6562\u63a2\u7d22\uff0c\u8fd8\u662f\u5c06\u773c\u524d\u7684\u7410\u788e\u9ed8\u9ed8\u6253\u7406\u4e0e\u5b88\u62a4\uff0cMiniCPM\u90fd\u662f\u503c\u5f97\u4fe1\u4efb\u7684\u5927\u6a21\u578b\u597d\u670b\u53cb\u3002<\/p>\n

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

<\/p>\n

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

<\/p>\n

\u6700\u540e\uff0c\u7b14\u8005\u8fd8\u60f3\u804a\u4e00\u4e0b\u89c2\u5bdf\u5230\u7684\u9762\u58c1\u667a\u80fd\u7aef\u4fa7AI\u7684\u4e0b\u4e00\u6b65\u3002<\/p>\n

<\/p>\n

5.\u9762\u58c1\u5c0f\u94a2\u70ae+\u673a\u5668\u4eba\uff0c\u5f00\u542f\u5177\u8eab\u667a\u80fd\u65e0\u9650\u53ef\u80fd<\/strong><\/p>\n

\u5927\u6a21\u578b\u4e0e\u673a\u5668\u4eba\u878d\u5408\u7684 \u201c\u5177\u8eab\u667a\u80fd\u201d\uff0c\u662f\u672a\u6765\u5341\u5e74\u6700\u4ee4\u4eba\u671f\u5f85\u7684\u79d1\u6280\u7a81\u7834\u4e4b\u4e00\uff01<\/p>\n

\u6700\u8fd1\uff0c\u9762\u58c1\u5c0f\u94a2\u70ae MiniCPM \u7aef\u4fa7\u6a21\u578b\u5728\u8fd9\u65b9\u9762\u8fc8\u51fa\u4e86\u5173\u952e\u4e00\u6b65\u3002<\/p>\n

\u4e00\u662f\u8054\u624b\u52a0\u901f\u8fdb\u5316\u673a\u5668\u4eba\uff0c\u6253\u9020\u51fa\u5b8c\u6574\u201c\u5177\u8eab\u667a\u80fd\u201d\u7684\u5148\u9a71\u65b9\u6848\uff0c\u4e1a\u754c\u9996\u4e2a\u9ad8\u6548\u7aef\u4fa7\u6a21\u578b\u8fd0\u884c\u5728\u4eba\u5f62\u673a\u5668\u4eba\u7684\u6f14\u793a\uff0c\u7406\u89e3\u3001\u63a8\u7406\u3001\u5e76\u4e0e\u7269\u7406\u4e16\u754c\u4e92\u52a8\u7684\u667a\u80fd\u7cfb\u7edf\uff0c\u8fd9\u6fc0\u52a8\u4eba\u5fc3\u7684\u672a\u6765\u573a\u666f\uff0c\u5df2\u62c9\u5f00\u5e37\u5e55\uff01<\/p>\n

\u4e8c\u662f\u8054\u624b\u5927\u8c61\u673a\u5668\u4eba\u3002\u524d\u4e9b\u5929 MiniCPM \u7aef\u4fa7\u6a21\u578b\u5c06\u690d\u5165\u5927\u8c61\u673a\u5668\u4eba\u65d7\u4e0b\u4eff\u771f\u966a\u4f34\u5ba0\u7269\u673a\u5668\u4eba metaCat \u7c73\u5854\u732b\uff0c\u9ad8\u6548\u7aef\u4fa7\u6a21\u578b\u80fd\u591f\u663e\u8457\u63d0\u5347\u4eff\u771f\u673a\u5668\u5ba0\u7269\u201c\u7c7b\u751f\u547d\u4f53\u201d\u7684\u667a\u80fd\u4ea4\u4e92\u4f53\u9a8c\uff1a\u4e0d\u4f9d\u8d56\u7f51\u7edc\uff0c\u4e0d\u9700\u8981\u590d\u6742\u7684\u786c\u4ef6\u6539\u9020\uff0c\u4ee5\u66f4\u81ea\u7531\u66f4\u81ea\u7136\u7684\u4ea4\u4e92\uff0c\u8ba9\u673a\u5668\u840c\u5ba0\u89e6\u53d1\u58f0\u3001\u5149\u3001\u7535\u3001\u52a8\u4f5c\u54cd\u5e94\uff0c\u4eff\u771f\u611f\u66f4\u5f3a\uff0c\u60c5\u611f\u966a\u4f34\u66f4\u52a0\u903c\u771f\u3002<\/p>\n

\u9762\u58c1\u5c0f\u94a2\u70ae MiniCPM \u7aef\u4fa7\u6a21\u578b\u4e4b\u524d\u5728 PC\u3001\u5e73\u677f\u3001\u624b\u673a\u5df2\u6709\u5b9e\u9645\u8fd0\u884c\uff0c\u6700\u8fd1\u9762\u58c1\u667a\u80fd\u4e0e\u52a0\u901f\u8fdb\u5316\u673a\u5668\u4eba\u548c\u5927\u8c61\u673a\u5668\u4eba\u7684\u5408\u4f5c\uff0c\u8ba9\u7b14\u8005\u770b\u5230\u4e86\u9762\u58c1\u667a\u80fd\u4ece\u7aef\u4fa7AI+\u673a\u5668\u4eba\u65b9\u5411\u5207\u5165\u5177\u8eab\u667a\u80fd\u7684\u65e0\u9650\u53ef\u80fd\u3002\u89e6\u89d2\u4e5f\u4f38\u5165\u667a\u80fd\u5ea7\u8231\uff0c\u9762\u58c1\u8054\u5408MTK\uff0c\u4e3a\u68a7\u6850\u79d1\u6280\u63d0\u4f9b\u4e86MiniCPM\u8f66\u8f7d\u591a\u6a21\u6001\u5927\u6a21\u578b\uff0c\u5b9e\u73b0\u8231\u9a7e\u534f\u63a7\u76f8\u5173\u7684\u529f\u80fd\u63a7\u5236\uff0c\u5305\u62ec\u77e5\u8bc6\u67e5\u8be2\u548c\u4eba-\u8f66-\u73af\u5883\u611f\u77e5\u878d\u5408\u7684\u591a\u6a21\u6001\u589e\u5f3a\u7406\u89e3\u6a21\u5757\uff0c\u6210\u4e3a\u68a7\u6850\u79d1\u6280A I\u5ea7\u8231\u82af\u7b97\u4e00\u4f53\u7684\u7aef\u4fa7\u5927\u6a21\u578b\u91cd\u8981\u5408\u4f5c\u4f19\u4f34\uff01<\/p>\n

\u672a\u6765\u5927\u6a21\u578b+\u673a\u5668\u4eba\u6f14\u5316\u51fa\u7ec8\u6781\u5f62\u6001\uff0c\u7aef\u4fa7\u667a\u80fd\u65e0\u5904\u4e0d\u5728\uff0c\u9762\u58c1\u667a\u80fd\u5929\u5730\u5e7f\u9614\u3002<\/p>\n

\u96f7\u5cf0\u7f51(\u516c\u4f17\u53f7\uff1a\u96f7\u5cf0\u7f51)<\/span><\/span><\/p>\n

\u96f7\u5cf0\u7f51\u7248\u6743\u6587\u7ae0\uff0c\u672a\u7ecf\u6388\u6743\u7981\u6b62\u8f6c\u8f7d\u3002\u8be6\u60c5\u89c1\u8f6c\u8f7d\u987b\u77e5<\/a>\u3002<\/p>\n

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

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