Abstract
The paper presents Anatomy3DExplorer, a customized ChatGPT designed as a natural language dialogue interface for exploring 3D models of anatomical structures. It illustrates the significant potential of large language models (LLMs) as user-friendly interfaces for database access. Furthermore, it showcases the seamless integration of LLMs and database APIs, within the GPTS framework, offering a promising and straightforward approach.
Author supplied keywords
Cite
CITATION STYLE
Kim, J. D., & Okubo, K. (2024). Customizing GPT for natural language dialogue interface in database access. Genomics and Informatics, 22(1). https://doi.org/10.1186/s44342-024-00020-5
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.