A Comparative Review of GPT-4’s Applications in Medicine and High Decision Making

This paper provides a comprehensive assessment of GPT-4’s (Generative Pre-trained Transformer – 4) application in the domain of medicine, highlighting its advancements compared to previous models. It delves into the model’s potential, limitations and significant experimental findings - offering a thorough perspective on its rôle in transforming the medical field. Emphasizing the implications of GPT-4’s integration in critical decision-making contexts, the study explores the pivotal rôle of prompt engineering in extracting precise and valuable outputs from extensive language models like GPT-4. By examining prompt design intricacies, the research sheds light on its far-reaching consequences and its direct influence on enhancing GPT-4’s effectiveness, especially its rôle as a medical assistant.