Can Open-Source LLMs Compete With Proprietary Ones for Complex Diagnoses?
JAMA+ AI Conversations
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Exploring Open-Source vs. Proprietary Models in Healthcare
This chapter explores the key differences between proprietary and open-source machine learning models, focusing on their applications in healthcare. It examines the impact of these distinctions on data privacy, operational challenges, and the practicality of using large models within hospital environments.
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