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Updated: Sep 19, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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使用大型语言模型提高在线患者教育材料的可读性:跨部分研究

John Will1, Mahin Gupta1, Jonah Zaretsky2

  • 1Medical Center Information Technology Department of Health Informatics, New York University Langone Health, New York, NY, United States.

Journal of medical Internet research
|June 4, 2025
PubMed
概括

大型语言模型 (LLM) 可以将患者教育材料 (PEM) 简化到六年级的阅读水平,提高可访问性. 虽然一般准确和易于理解,但由于一些LLM输出中的轻微不准确性,人类审查至关重要.

关键词:
人工智能的人工智能是人工智能.卫生教育健康教育.提高健康识字能力患者教育 患者教育可读性 可读性

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