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Updated: Feb 4, 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

Published on: December 6, 2024

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最佳的大型语言模型用于选系统审查的引用

Takehiko Oami1, Yohei Okada2,3, Taka-Aki Nakada1

  • 1Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.

Research synthesis methods
|February 2, 2026
PubMed
概括

这项研究比较了四个大型语言模型 (LLM) 用于系统性审查引文选. 双子1.5 Pro和Claude 3.5 Sonnet显示了更高的灵敏度,而GPT-4o和Llama 3.3 70B提供了更好的特异性,优化了审查工作流程.

关键词:
引用选 引用选 引用选 引用选临床实践指南 临床实践指南生成型的人工智能大型语言模型.系统性审查 系统性审查

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