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医学专业人员的新兴技能:提示工程教程

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial.

机构信息

The Medical Futurist Institute, Budapest, Hungary.

出版信息

J Med Internet Res. 2023 Oct 4;25:e50638. doi: 10.2196/50638.

Abstract

Prompt engineering is a relatively new field of research that refers to the practice of designing, refining, and implementing prompts or instructions that guide the output of large language models (LLMs) to help in various tasks. With the emergence of LLMs, the most popular one being ChatGPT that has attracted the attention of over a 100 million users in only 2 months, artificial intelligence (AI), especially generative AI, has become accessible for the masses. This is an unprecedented paradigm shift not only because of the use of AI becoming more widespread but also due to the possible implications of LLMs in health care. As more patients and medical professionals use AI-based tools, LLMs being the most popular representatives of that group, it seems inevitable to address the challenge to improve this skill. This paper summarizes the current state of research about prompt engineering and, at the same time, aims at providing practical recommendations for the wide range of health care professionals to improve their interactions with LLMs.

摘要

提示工程是一个相对较新的研究领域,指的是设计、改进和实施提示或指令的实践,这些提示或指令可以指导大型语言模型(LLM)的输出,以帮助完成各种任务。随着大型语言模型的出现,特别是 ChatGPT 在短短 2 个月内吸引了超过 1 亿用户,人工智能(AI),特别是生成式 AI,已经为大众所接受。这是一个前所未有的范式转变,不仅因为 AI 的使用变得更加广泛,还因为 LLM 在医疗保健中的可能影响。随着越来越多的患者和医疗专业人员使用基于人工智能的工具,大型语言模型作为该领域的最受欢迎的代表,似乎不可避免地要解决提高这一技能的挑战。本文总结了目前关于提示工程的研究现状,同时旨在为广大医疗保健专业人员提供实用建议,以改善他们与大型语言模型的交互。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c298/10585440/7c2e20e6ffd2/jmir_v25i1e50638_fig1.jpg

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