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Updated: Jan 17, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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临床医学中大型语言模型的微调方法通过监督微调和直接偏好优化:比较评估

Thomas Savage1, Stephen P Ma2, Abdessalem Boukil3

  • 1Division of Hospital Medicine, Perelman School of Medicine, Department of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA, 19147, United States, 1 2155191670.

Journal of medical Internet research
|September 23, 2025
PubMed
概括

直接偏好优化 (DPO) 微调增强了大型语言模型 (LLM) 在临床推理和总结等复杂的医疗任务上的性能,而监督微调 (SFT) 则足以完成更简单的分类任务.

关键词:
人工智能的人工智能是人工智能.直接偏好的优化优化.精细调整 精细调整大型语言模型.有监督的微调.

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