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Updated: Jan 17, 2026

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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从临床笔记中提取信息:我们准备好转向大型语言模型了吗?

Yan Hu1, Xu Zuo1, Yujia Zhou2

  • 1McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States.

Journal of the American Medical Informatics Association : JAMIA
|January 14, 2026
PubMed
概括

与BERT相比,指令调整的大型语言模型MetaAI (LLaMA) 模型在临床信息提取任务中表现更好. 然而,LLaMA模型需要更多的计算资源,并且速度较慢,需要在性能和实际约束之间保持平衡.

关键词:
提取信息 提取信息指令调整 - 调整指令大型语言模型

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