arxiv preprint - Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare

In this episode, we discuss Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare by Emre Can Acikgoz, Osman Batur İnce, Rayene Bench, Arda Anıl Boz, İlker Kesen, Aykut Erdem, Erkut Erdem. The paper discusses the integration of Large Language Models (LLMs) in healthcare, focusing on their application in diagnostics, research, and patient management. It contends with challenges such as complex training, stringent evaluations, and the problem of proprietary dominance hindering academic exploration. To overcome these, it introduces "Hippocrates," an open-source framework, along with "Hippo," a series of highly efficient 7B models, aimed at democratizing AI in healthcare and fostering global collaboration and innovation.