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Updated: May 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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开发和验证大型语言模型的提供者文档总结质量工具

Emma Croxford1, Yanjun Gao2, Nicholas Pellegrino3

  • 1Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53792, United States.

Journal of the American Medical Informatics Association : JAMIA
|May 5, 2025
PubMed
概括

提供者文档总结质量工具-9 (PDSQI-9) 是一个验证的工具,用于评估大型语言模型 (LLM) 临床总结. 它确保对LLM生成的文档进行可靠的评估,以便更安全地整合医疗保健.

关键词:
临床自然语言生成电子健康记录 电子健康记录评价 评价 评价 评价生成型的人工智能 (generative artificial intelligence) 是一种创造性的人工智能.大型语言模型.多个文件的总结.自然语言处理自然语言处理.

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