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Can Open-Source LLMs Compete With Proprietary Ones for Complex Diagnoses? episode artwork

EPISODE · Apr 4, 2025 · 18 MIN

Can Open-Source LLMs Compete With Proprietary Ones for Complex Diagnoses?

from JAMA Medical News

A recent study published in JAMA Health Forum suggests that institutions may be able to deploy custom open-source large language models (LLMs) that run locally without sacrificing data privacy or flexibility. Coauthors Thomas A. Buckley, BS, and Arjun K. Manrai, PhD, from the Department of Biomedical Informatics at Harvard Medical School join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss. Related Content: Can Open-Source AI Models Diagnose Complex Cases as Well as GPT-4?

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Can Open-Source LLMs Compete With Proprietary Ones for Complex Diagnoses?

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How long is this episode of JAMA Medical News?

This episode is 18 minutes long.

When was this JAMA Medical News episode published?

This episode was published on April 4, 2025.

What is this episode about?

A recent study published in JAMA Health Forum suggests that institutions may be able to deploy custom open-source large language models (LLMs) that run locally without sacrificing data privacy or flexibility. Coauthors Thomas A. Buckley, BS, and...

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