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Updated: May 23, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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医学GLM:一个儿科医疗问题答案模型,具有质量评估机制

Xin Wang1, Zhaocai Sun1, Pingping Wang1

  • 1Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao, 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology for Chinese Medicine, Qingdao, 266112, China.

Journal of biomedical informatics
|March 9, 2025
PubMed
概括

医学GLM是一个新的大型语言模型 (LLM),通过整合质量评估机制来增强医疗问题答案. 这提高了信息的准确性和有用性,在医疗任务中优于现有的LLM.

关键词:
精细调整 微调 精细调整大型语言模型 (LLM)医疗问题答案 (QA)质量评估机制 (QEM) 是一种质量评估机制.奖励模型的奖励模型.

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