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Updated: Jun 29, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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模型调整还是提示调整? 临床概念和关系提取的大型语言模型的研究

Cheng Peng1, Xi Yang2, Kaleb E Smith3

  • 1Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.

Journal of biomedical informatics
|March 28, 2024
PubMed
概括

基于软提示的学习可以提高临床应用中的大型语言模型 (LLM) 的性能. 具有软提示的冷LLM提供了竞争性的短暂学习和通用性,同时降低了计算成本.

关键词:
临床概念提取 临床概念提取大型语言模型.快速调整调整的提示关系提取 关系提取变压器模型模型

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