Evaluation of artificial intelligence tools based on Large Language Model (LLM) for the automation of book description
DOI:
https://doi.org/10.3145/infonomy.25.023Keywords:
Librarianship, Cataloguing, Artificial Intelligence, Large Language ModelAbstract
Artificial intelligence presents opportunities and challenges in library processes. Cataloguing is one of the processes highlighted in libraries which has allowed to describe the set of works and resources that are evident in catalogs, indexes, directories, thesauri, among others. This research analyzes the impact in time, cost, quality and quantity of cataloged books used by artificial intelligence applications such as ChatGPT 3.5, ChatGPT 4o, Gemini and Copilot compared to cataloging done by an expert cataloguer. The books selected were three bestsellers and two works frontlist selected by the team of the Libraries of the Universdad Distrital Francisco José de Caldas. The results allowed to infer that the average cataloging of applications using Large language model is 183 times faster, the salary cost of a cataloger is 64 times more expensive than AI and AI can catalog 187 times more books than a cataloger.References
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Copyright (c) 2025 Cristian-Alejandro Chisaba-Pereira, Ricardo Herrera-Calero, Saúl-Alejandro Niño-Neira, Britney-Alejandra Hurtado-Ortiz
This work is licensed under a Creative Commons Attribution 4.0 International License.
