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Updated: May 27, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Use of large language model (LLM) to enhance content and structure of a school of dentistry LibGuide
1epjones3@email.unc.edu, University of North Carolina at Chapel Hill (UNC) Health Sciences Library, Chapel Hill, NC.
Abstract:
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.
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