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Updated: May 31, 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

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使用大型语言模型从临床过程和业务规则中获取关键数据.

Yunguo Yu1, Cesar A Gomez-Cabello2, Svetlana Makarova1

  • 1Center for Digital Health, Mayo Clinic, Rochester, MN 55905, USA.

Bioengineering (Basel, Switzerland)
|January 24, 2025
PubMed
概括

像LLaMA 2这样的大型语言模型 (LLM) 在解释临床途径以准确诊断和治疗建议方面表现有前途. 这项研究证明了从复杂模型中检索临床信息的高准确性,改善了医疗保健数据检索.

关键词:
人工智能的人工智能临床决策支持 临床决策支持数据检索数据检索诊断 诊断 诊断 诊断 诊断大型语言模型.

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