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Updated: Sep 14, 2025

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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合成数据训练的开源语言模型是放射学报告专有模型的可行替代方案

Aakriti Pandita1, Angela Keniston1, Nikhil Madhuripan2

  • 1Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

NPJ digital medicine
|July 23, 2025
PubMed
概括

合成数据有效微调开源大语言模型 (LLMs) 用于放射文本转换. 这些模型的性能与专有GPT模型相美,提供了保护隐私的替代方案.

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