Application of the big language model – ChatGPT in the librarianship and bibliographical work

Abstract

Based on the conducted research, the possibilities of applying the artificial intelligence system ChatGPT to enhance and automate traditional library and bibliographic processes such as acquisition, cataloging, indexing, and reference services are considered. The methodology is based on evaluating the language model's capabilities in the context of these processes and provides detailed recommendations for the effective use of ChatGPT in library practice. The authors describe the ChatGPT existent information), differences in the accuracy of AI system responses across different languages, and the lack of real-time information updates. Methods for addressing potential issues associated with these limitations are proposed. Additionally, general recommendations for formulating queries are provided to maximize the effective utilization of ChatGPT in library practice. The importance of fact-checking to verify the accuracy of information obtained from the language model is emphasized. Recommendations are developed to optimize and automate acquisition, cataloging, indexing, and reference services processes. The authors conclude that ChatGPT can become a powerful tool in library work and has significant potential to improve and streamline traditional processes.