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Updated: Jun 14, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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医学LLM的新型评估框架:将模糊逻辑和MCDM结合起来,用于医学关系和临床概念提取

A H Alamoodi1,2,3, Omar Zughoul4, Dianese David5

  • 1Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Kajang, Malaysia. alamoodi.abdullah91@gmail.com.

Journal of medical systems
|August 30, 2024
PubMed
概括

本研究引入了一种新的多标准决策 (MCDM) 方法来评估医学大语言模型 (LLM). 该框架优先考虑"医疗关系提取"并将GatorTron S 10B在医疗保健AI应用中排名最高.

关键词:
这就是为什么P P Pq-QROFS 是一个QROFS.临床概念提取 临床概念提取实际情况FWZICIC马克尔卡 (Mairca) 是一个主要的城市.医疗关系提取 提取

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