Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

arXiv:2405.01249v1 Announce Type: new
Abstract: Prompt engineering is crucial for harnessing the potential of large language models (LLMs), especially in the medical domain where specialized terminology and phrasing is used. However, the efficacy of prompt engineering in the medical domain remains to be explored. In this work, 114 recent studies (2022-2024) applying prompt engineering in medicine, covering prompt learning (PL), prompt tuning (PT), and prompt design (PD) are reviewed. PD is the most prevalent (78 articles). In 12 papers, PD, …

abstract applications arxiv cs.cl cs.lg domain engineering however language language models large language large language models llms medical practices prompt recommendations review terminology type work