Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76048, first published .
Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Thomas Savage   1 , MD ;   Stephen P Ma   2 , MD, PhD ;   Abdessalem Boukil   3 , BS ;   Ekanath Rangan   4 , MD ;   Vishwesh Patel   5 , MBBS ;   Ivan Lopez   4, 6 , BS ;   Jonathan Chen   2, 6, 7, 8 , MD, PhD

1 Division of Hospital Medicine, Perelman School of Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Division of Hospital Medicine, Department of Medicine, Stanford Medicine, Palo Alto, CA, United States

3 Linguamind AI, Sousse, Tunisia

4 Department of Medicine, Stanford Medicine, Palo Alto, CA, United States

5 Department of Medicine, Saint Michael’s Medical Center, Newark, New Jersey, United States

6 Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA, United States

7 Stanford Center for Biomedical Informatics Research, Palo Alto, CA, United States

8 Clinical Excellence Research Center, Stanford University, Palo Alto, CA, United States

Corresponding Author:

  • Thomas Savage, MD
  • Division of Hospital Medicine, Perelman School of Medicine, Department of Medicine
  • University of Pennsylvania
  • 3400 Spruce St
  • Philadelphia, PA 19147
  • United States
  • Phone: 1 2155191670
  • Email: thomas.savage@pennmedicine.upenn.edu