Use of large language model (LLM) to enhance content and structure of a school of dentistry LibGuide

• Published in: Journal of the Medical Library Association Vol. 113; no. 1; pp. 96 - 97
• Main Author: Jones, Emily P.
• Format: Journal Article
• Language: English
• Published: United States Medical Library Association 14.01.2025; University Library System, University of Pittsburgh
• Subjects: Artificial intelligence; Artificial Intelligence (AI); Chatbots; Content creation; Dentistry; Education, Dental - organization & administration; Generative AI; Health sciences; Humans; Information Storage and Retrieval - methods; Institutional repositories; Language; Large Language Models; LibGuides; Librarians; Libraries, Medical - organization & administration; Library associations; Medical libraries; Open access; Schools, Dental - organization & administration; Services; Study and teaching; Technology application; Usability; Virtual Project; United States; Artificial Intelligence (AI); Generative AI; LibGuides; Large Language Models
• ISSN: 1536-5050; 1558-9439; 1558-9439
• DOI: 10.5195/jmla.2025.2084

A librarian used a large language model (LLM) to revise a dentistry subject LibGuide. Prompts were used to identify methods for optimizing navigational structure for usability, highlight library-specific information students need additional help with, and write summaries of page content. Post-revision, LibGuide access increased, and students provided anecdotal feedback that they perceive the changes positively. LLMs may enhance LibGuide discoverability and usability without adding significant time and resource burdens for librarians.