{"id":1916,"date":"2024-12-13T16:52:43","date_gmt":"2024-12-13T08:52:43","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=1916"},"modified":"2024-12-13T16:52:43","modified_gmt":"2024-12-13T08:52:43","slug":"202412%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-chimed-gpt-a-chinese-medical-large-language-model-with-full-training-regime-and-better-alignment-to-human-preferences","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202412%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-chimed-gpt-a-chinese-medical-large-language-model-with-full-training-regime-and-better-alignment-to-human-preferences\/","title":{"rendered":"202412\u8bba\u6587\u7814\u8bfb-CHIMED-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences"},"content":{"rendered":"\n

\u4f5c\u8005\uff1aYuanhe Tian, Ruyi Gan, Yan Song, Jiaxing Zhang, Yongdong Zhang.
\u5355\u4f4d\uff1aUniversity of Science and Technology of China\uff0cUniversity ofWashington\uff0c
International Digital Economy Academy.
\u6765\u6e90\uff1aACL (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics)
\u65f6\u95f4\uff1a2024.8<\/p>\n\n\n\n

\u4e00\u3001\u7814\u7a76\u80cc\u666f\u4e0e\u76ee\u7684\uff1a<\/h2>\n\n\n\n

1\u3001\u7814\u7a76\u80cc\u666f\uff1a
\u533b\u7597\u9886\u57df\u9700\u6c42\uff1a\u968f\u7740\u533b\u7597\u670d\u52a1\u9700\u6c42\u7684\u589e\u957f\uff0c\u533b\u7597\u57fa\u7840\u8bbe\u65bd\u7684\u5dee\u8ddd\u6108\u53d1\u660e\u663e\uff0c\u5927\u6570\u636e\u7279\u522b\u662f\u6587\u672c\u6570\u636e\u6210\u4e3a\u533b\u7597\u670d\u52a1\u7684\u57fa\u7840\uff0c\u8feb\u5207\u9700\u8981\u9488\u5bf9\u533b\u7597\u9886\u57df\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u89e3\u51b3\u65b9\u6848\u3002
\u73b0\u6709\u6a21\u578b\u5c40\u9650\u6027\uff1a\u867d\u7136\u73b0\u6709\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u4e3a\u533b\u7597\u6587\u672c\u5904\u7406\u63d0\u4f9b\u4e86\u5148\u8fdb\u7684\u57fa\u7840\uff0c\u4f46\u5927\u591a\u6570\u533b\u7597LLMs\u4ec5\u901a\u8fc7\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09\u8fdb\u884c\u8bad\u7ec3\uff0c\u867d\u7136\u80fd\u9ad8\u6548\u7406\u89e3\u5e76\u54cd\u5e94\u533b\u7597\u6307\u4ee4\uff0c\u4f46\u5728\u5b66\u4e60\u9886\u57df\u77e5\u8bc6\u548c\u4e0e\u4eba\u7c7b\u504f\u597d\u5bf9\u9f50\u65b9\u9762\u5b58\u5728\u5c40\u9650\u3002
2\u3001\u7814\u7a76\u76ee\u7684\uff1a
\u8bbe\u8ba1\u76ee\u6807\uff1a\u4e3a\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\uff0c\u8be5\u6587\u63d0\u51faCHIMED-GPT\uff0c\u4e00\u4e2a\u4e13\u4e3a\u4e2d\u6587\u533b\u7597\u9886\u57df\u8bbe\u8ba1\u7684\u65b0\u57fa\u51c6LLM\u3002
\u8bad\u7ec3\u4f53\u7cfb\uff1aCHIMED-GPT\u7ecf\u5386\u4e86\u5305\u62ec\u9884\u8bad\u7ec3\u3001\u76d1\u7763\u5fae\u8c03\u548c\u4ece\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60\uff08RLHF\uff09\u5728\u5185\u7684\u5168\u9762\u8bad\u7ec3\u4f53\u7cfb\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u4e3b\u8981\u5185\u5bb9<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

1\u3001\u9884\u8bad\u7ec3
\u8be5\u6587\u91c7\u7528\u4e2d\u56fd\u533b\u5b66\u6570\u636e\u96c6 \uff08CMD\uff09\u7684\u9884\u8bad\u7ec3\u5b50\u96c6\uff0c\u57fa\u5ea7\u6a21\u578b\u4e3aZiya-13-v2 \u3002\u8be5\u5b50\u96c6\u5305\u62ec\u4e24\u90e8\u5206\uff0c\u7b2c\u4e00\u90e8\u5206\u5305\u62ec\u6765\u81ea\u533b\u5b66\u767e\u79d1\u5168\u4e66\u6570\u636e\u7684 369,800 \u4efd\u6587\u6863\uff0c\u800c\u7b2c\u4e8c\u90e8\u5206\u5305\u62ec\u6765\u81ea\u533b\u5b66\u6559\u79d1\u4e66\u7684 8,475 \u7bc7\u6587\u7ae0\u3002\u9274\u4e8e\u5176\u4e30\u5bcc\u7684\u533b\u5b66\u5185\u5bb9\uff0cCMD \uff08pre-train\uff09 \u88ab\u8bc1\u660e\u975e\u5e38\u9002\u5408\u9884\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n\n\n\n

2\u3001SFT
SFT \u6570\u636e\u7684\u8d28\u91cf\u548c\u591a\u6837\u6027\u81f3\u5173\u91cd\u8981\u3002\u4e3a\u4e86\u589e\u5f3a\u6a21\u578b\u5728\u771f\u5b9e\u533b\u7597\u73af\u5883\u4e2d\u7406\u89e3\u4eba\u7c7b\u6307\u4ee4\u7684\u80fd\u529b\uff0c\u8be5\u6587\u8fd8\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684 SFT \u6d41\u7a0b\uff0c\u8be5\u6d41\u7a0b\u5229\u7528\u533b\u751f\u548c\u60a3\u8005\u4e4b\u95f4\u7684 QA \u548c\u5bf9\u8bdd\u6570\u636e\uff08\u5305\u62ecChiMed\u3001CMD \uff08SFT\uff09\u3001\u4e2d\u6587\u533b\u5b66\u5bf9\u8bdd\u6570\u636e\u96c6\uff08MC\uff09\u548cMedDialog\uff09\u3002<\/p>\n\n\n\n

3\u3001RLHF
\u5bf9\u4e8e\u5956\u52b1\u6a21\u578b\u8bad\u7ec3\uff0c\u8be5\u6587\u91c7\u7528CMD\u7684\u5956\u52b1\u5b50\u96c6CMD\uff08Reward\uff09\u4f5c\u4e3a\u5b66\u4e60\u5956\u52b1\u6a21\u578b\u7684\u6570\u636e\u96c6\u3002\u5177\u4f53\u6765\u8bf4\uff0cCMD\uff08Reward\uff09\u75314K\u5b9e\u4f8b\u7ec4\u6210\uff0c\u8fd9\u4e9b\u5b9e\u4f8b\u5206\u4e3a\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002\u6bcf\u4e2a\u5b9e\u4f8b\u90fd\u6709\u4e00\u4e2a\u4eceCMD\uff08SFT\uff09\u6570\u636e\u96c6\u4e2d\u91c7\u6837\u7684\u95ee\u9898\uff0c\u5e76\u9644\u6709\u4e00\u4e2a\u88ab\u63a5\u53d7\u7684\u7b54\u6848\u548c\u4e00\u4e2a\u88ab\u62d2\u7edd\u7684\u7b54\u6848\uff0c\u5176\u4e2d\u88ab\u63a5\u53d7\u7684\u7b54\u6848\u7531\u533b\u751f\u63d0\u4f9b\uff0c\u88ab\u62d2\u7edd\u7684\u7b54\u6848\u7531BenTsao LLM\u63d0\u4f9b\u3002\u4e0e\u4ee5\u524d\u7684\u7814\u7a76\u4e0d\u540c\uff0c\u4f5c\u8005\u8fdb\u4e00\u6b65\u901a\u8fc7\u4ece GPT-4 \u548c GPT-3.5-Turbo3 \u4e2d\u63d0\u53d6\u7684\u4e24\u4e2a\u989d\u5916\u7684\u4e2d\u95f4\u54cd\u5e94\u6765\u589e\u5f3a CMD\uff08\u5956\u52b1\uff09\uff0c\u800c\u4e0d\u662f\u76f4\u63a5\u5c06\u5176\u5e94\u7528\u4e8e\u8bad\u7ec3\u5956\u52b1\u6a21\u578b\uff0c\u56e0\u6b64\u6a21\u578b\u751f\u6210\u7684\u54cd\u5e94\u80fd\u591f\u66f4\u597d\u5730\u7b26\u5408\u4eba\u7c7b\u504f\u597d\uff0c\u4ece\u800c\u8fdb\u4e00\u6b65\u964d\u4f4e CHIMED-GPT \u751f\u6210\u4e0d\u9002\u5f53\u5185\u5bb9\u7684\u98ce\u9669\u3002
\u7b54\u6848\u6309\u7167\u4e0e\u4eba\u7c7b\u504f\u597d\u91cd\u65b0\u6392\u5e8f\uff1a\u88ab\u63a5\u53d7\u7684\u7b54\u6848\u3001GPT-4 \u7684\u56de\u7b54\u3001GPT-3.5-Turbo \u7684\u56de\u7b54\u548c\u88ab\u62d2\u7edd\u7684\u7b54\u6848\u3002
\u9996\u5148\u4ece SFT \u6570\u636e\u4e2d\u968f\u673a\u62bd\u6837 10K \u63d0\u793a\uff0c\u5e76\u5c06\u5b83\u4eec\u63d0\u4f9b\u7ed9CHIMEDGPT\u3002\u7136\u540e\uff0c\u4f7f\u7528\u5956\u52b1\u6a21\u578b\u4e3a\u6700\u540e\u4e00\u6b65\u751f\u6210\u7684\u8f93\u51fa\u5206\u914d\u5206\u6570\u3002\u4e4b\u540e\uff0c\u6839\u636e LLM \u4ea7\u751f\u7684\u6587\u672c\u5bf9\u4ed6\u4eec\u7684\u5206\u6570\u8fdb\u884c\u6392\u540d\uff0c\u5e76\u9009\u62e9\u524d k \u540d\u7684\u56de\u7b54\uff0c\u8fd9\u4e9b\u56de\u7b54\u88ab\u89c6\u4e3a\u8fdb\u4e00\u6b65\u5fae\u8c03\u7684\u6570\u636e\u96c6\u6784\u6210\u3002<\/p>\n\n\n\n

\u4e09\u3001\u5b9e\u9a8c\u8bc4\u4f30<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u56db\u3001\u8bba\u6587\u603b\u7ed3<\/h2>\n\n\n\n

\u5728\u8be5\u6587\u4e2d\uff0c\u4f5c\u8005\u63d0\u51fa\u4e86\u7528\u4e8e\u4e2d\u6587\u533b\u5b66\u6587\u672c\u5904\u7406\u7684 CHIMED-GPT\uff0c\u5b83\u5efa\u7acb\u5728 Ziya-13B-v2 \u4e4b\u4e0a\uff0c\u5e76\u7ee7\u627f\u4e86\u5176\u5904\u7406\u5927\u91cf\u4e0a\u4e0b\u6587\u957f\u5ea6\u7684\u80fd\u529b\u3002
CHIMED-GPT \u662f\u901a\u8fc7\u4e00\u4e2a\u6574\u4f53\u8bad\u7ec3\u6846\u67b6\u5b66\u4e60\u7684\uff0c\u8be5\u6846\u67b6\u65e0\u7f1d\u96c6\u6210\u4e86\u9884\u8bad\u7ec3\u3001SFT \u548c RLHF \u9636\u6bb5\uff0c\u5e76\u786e\u4fdd\u5b83\u4e0d\u4ec5\u6355\u83b7\u7279\u5b9a\u9886\u57df\u7684\u77e5\u8bc6\uff0c\u800c\u4e14\u80fd\u591f\u9002\u5e94\u591a\u79cd\u573a\u666f\uff0c\u8d85\u8d8a\u901a\u5e38\u4ec5\u6c42\u52a9\u4e8e SFT \u7684\u73b0\u6709\u6a21\u578b\u3002
\u5178\u578b\u533b\u5b66\u6587\u672c\u5904\u7406\u4efb\u52a1\uff08\u5373\u4fe1\u606f\u63d0\u53d6\u3001\u95ee\u7b54\u548c\u5bf9\u8bdd\u751f\u6210\uff09\u7684\u5b9e\u8bc1\u7ed3\u679c\u8868\u660e\u4e86 CHIMED-GPT \u7684\u6709\u6548\u6027\uff0c\u5b83\u4f18\u4e8e\u4e0d\u540c\u57fa\u51c6\u6570\u636e\u96c6\u4e0a\u7684\u5f3a\u5927\u57fa\u7ebf\u548c\u73b0\u6709\u7814\u7a76\u3002\u8fdb\u4e00\u6b65\u7684\u5206\u6790\u8868\u660e\uff0cCHIMED-GPT \u7684\u504f\u5dee\u76f8\u5bf9\u8f83\u4f4e\uff0c\u8fd9\u8bc1\u5b9e\u4e86CHIMED-GPT\u5728\u533b\u5b66\u9886\u57df\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

\u4f5c\u8005\uff1aYuanhe Tian, Ruyi Gan, Yan Song, Jiaxing Zhang, Yong […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1916","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/1916","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=1916"}],"version-history":[{"count":2,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/1916\/revisions"}],"predecessor-version":[{"id":1928,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/1916\/revisions\/1928"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=1916"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=1916"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=1916"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}