A Study of Generative Large Language Model for Medical Research and Healthcare

Understand

There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT.

• This study develops a clinical generative LLM, GatorTronGPT, using 277 billion words of mixed clinical and English text with a GPT-3 architecture of 20 billion parameters.
• GatorTronGPT improves biomedical natural language processing for medical research.
• Synthetic NLP models trained using GatorTronGPT generated text outperform NLP models trained using real-world clinical text.