Park Ki-Seong, Choi Hongyoon
Department of Nuclear Medicine, Chonnam National University Hospital, 42 Jaebong-ro, Dong-gu, Gwangju, 501-757 Republic of Korea.
Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno- Gu, Seoul, 03080 Republic of Korea.
Nucl Med Mol Imaging. 2024 Oct;58(6):323-331. doi: 10.1007/s13139-024-00876-z. Epub 2024 Aug 12.
The rapid advancements in natural language processing, particularly with the development of Generative Pre-trained Transformer (GPT) models, have opened up new avenues for researchers across various domains. This review article explores the potential of GPT as a research tool, focusing on the core functionalities, key features, and real-world applications of the GPT-4 model. We delve into the concept of prompt engineering, a crucial technique for effectively utilizing GPT, and provide guidelines for designing optimal prompts. Through case studies, we demonstrate how GPT can be applied at various stages of the research process, including literature review, data analysis, and manuscript preparation. The utilization of GPT is expected to enhance research efficiency, stimulate creative thinking, facilitate interdisciplinary collaboration, and increase the impact of research findings. However, it is essential to view GPT as a complementary tool rather than a substitute for human expertise, keeping in mind its limitations and ethical considerations. As GPT continues to evolve, researchers must develop a deep understanding of this technology and leverage its potential to advance their research endeavors while being mindful of its implications.
自然语言处理的快速发展，尤其是随着生成式预训练变换器（GPT）模型的发展，为各个领域的研究人员开辟了新途径。这篇综述文章探讨了GPT作为一种研究工具的潜力，重点关注GPT-4模型的核心功能、关键特性和实际应用。我们深入研究了提示工程的概念，这是有效利用GPT的一项关键技术，并提供了设计最佳提示的指导原则。通过案例研究，我们展示了GPT如何应用于研究过程的各个阶段，包括文献综述、数据分析和稿件准备。预计GPT的使用将提高研究效率、激发创造性思维、促进跨学科合作并增加研究成果的影响力。然而，必须将GPT视为一种辅助工具，而非人类专业知识的替代品，同时要牢记其局限性和伦理考量。随着GPT不断发展，研究人员必须深入了解这项技术，并在意识到其影响的同时，利用其潜力推进自己的研究工作。
