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Updated: Feb 14, 2026

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

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扩大跨孤岛的负责任医疗文本检索规模:通过检索增强代来评估小语言模型

Rahul Shetty1, Karim Keshavjee1

  • 1Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Studies in health technology and informatics
|February 13, 2026
PubMed
概括

这项研究表明,轻量级的小型语言模型-检索增强生成 (SLM-RAG) 管道为糖尿病提供了准确和可扩展的医疗文本检索. FAISS确保了低延迟,使它们适合基于云的电子医疗记录系统.

关键词:
数字健康数字健康以患者为中心的创新负责的人工智能获取 - 增强后代的获取小语言模型 小语言模型

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