OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models

arXiv:2402.19371v1 Announce Type: new
Abstract: LLMs have become increasingly capable at accomplishing a range of specialized-tasks and can be utilized to expand equitable access to medical knowledge. Most medical LLMs have involved extensive fine-tuning, leveraging specialized medical data and significant, thus costly, amounts of computational power. Many of the top performing LLMs are proprietary and their access is limited to very few research groups. However, open-source (OS) models represent a key area of growth for medical LLMs due to significant …

abstract arxiv become computational cs.ai cs.cl cs.ir data engineering expand fine-tuning knowledge language language models large language large language models llms medical medical data power prompt question tasks type