
Open vs. Closed LLMs: Shaping the Future of AI in Medicine
The rapid rise of large language models (LLMs) offers transformative potential in medicine, from decision support to automation. However, the choice between open-source and closed-source frameworks poses challenges. Open models foster transparency, customization, and collaboration, while closed systems offer control. A balanced approach is key to advancing AI-driven healthcare innovation.
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