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Updated: Sep 18, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

693

将基于大型语言模型的代理程序集成到虚拟患者聊天机器人中,用于临床病史培训

Nicolas Laverde1, Christian Grévisse2, Sandra Jaramillo3

  • 1Department of Systems and Computing Engineering, Universidad de los Andes, Bogotá, Colombia.

Computational and structural biotechnology journal
|June 23, 2025
PubMed
概括

本研究介绍了一种使用大型语言模型 (LLM) 进行医疗保健沟通培训的新型虚拟患者系统. 该LLM驱动的聊天机器人提供可扩展,个性化的实践,改善临床推理和决策技能.

关键词:
人工智能的人工智能是人工智能.生成性代理人 生成性代理人医疗保健模拟系统大型语言模型.医学教育 医学教育虚拟患者是虚拟的患者.

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