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Summary of Hippocrates: An Open-source Framework For Advancing Large Language Models in Healthcare, by Emre Can Acikgoz et al.


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

First submitted to arxiv on: 25 Apr 2024

Categories

  • Main: Machine Learning (cs.LG)
  • Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The integration of Large Language Models (LLMs) into healthcare holds great promise for transforming medical diagnostics, research, and patient care. However, the development of medical LLMs faces significant challenges, including complex training requirements, rigorous evaluation demands, and the dominance of proprietary models that restrict academic exploration. In response to these limitations, we present Hippocrates, an open-source LLM framework specifically designed for the medical domain. This framework offers unrestricted access to its training datasets, codebase, checkpoints, and evaluation protocols, fostering a transparent ecosystem conducive to collaborative research. Our approach enables the community to build upon, refine, and rigoratively evaluate medical LLMs, ultimately driving innovation in healthcare AI.
Low GrooveSquid.com (original content) Low Difficulty Summary
Hippocrates is an open-source Large Language Model framework designed for the medical domain. It offers unrestricted access to its training datasets, codebase, checkpoints, and evaluation protocols. This allows researchers to work together on developing and improving medical LLMs. We also introduce Hippo, a family of 7B models tailored for the medical domain. These models outperform existing open medical LLMs by a large margin.

Keywords

» Artificial intelligence  » Large language model