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Updated: Jun 23, 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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开发和验证基于知识的AI评估系统,用于学习耳鼻喉科的临床核心医学知识

Jun-Ming Su1, Su-Yi Hsu2, Te-Yung Fang3

  • 1Department of Information and Learning Technology, National University of Tainan, Tainan, Taiwan.

Computers in biology and medicine
|June 19, 2024
PubMed
概括

一个新的多专家知识聚合适应评估方案 (MEKAS) 显著改善了实习生的耳鼻喉学核心医学知识. 这种人工智能驱动的系统为医学教育和适应性学习提供了有效的方法.

关键词:
适应性评估是一种自适应性评估.临床核心医学知识 临床核心医学知识知识聚合知识聚合.基于知识的AI方法基于知识的AI方法耳鼻喉科 耳鼻喉科 耳鼻喉科

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