Making the most of Artificial Intelligence and Large Language Models to support collection development in health sciences libraries
Tallennettuna:
| Julkaisussa: | Journal of the Medical Library Association vol. 113, no. 1 (Jan 2025), p. 92 |
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| Päätekijä: | |
| Muut tekijät: | |
| Julkaistu: |
University Library System, University of Pittsburgh
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| Aiheet: | |
| Linkit: | Citation/Abstract Full Text Full Text - PDF |
| Tagit: |
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MARC
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| 045 | 2 | |b d20250101 |b d20250131 | |
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| 100 | 1 | |a Portillo, Ivan | |
| 245 | 1 | |a Making the most of Artificial Intelligence and Large Language Models to support collection development in health sciences libraries | |
| 260 | |b University Library System, University of Pittsburgh |c Jan 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This project investigated the potential of generative Al models in aiding health sciences librarians with collection development. Researchers at Chapman University's Harry and Diane Rinker Health Science campus evaluated four generative Al models-ChatGPT 4.0, Google Gemini, Perplexity, and Microsoft Copilot-over six months starting in March 2024. Two prompts were used: one to generate recent eBook titles in specific health sciences fields and another to identify subject gaps in the existing collection. The first prompt revealed inconsistencies across models, with Copilot and Perplexity providing sources but also inaccuracies. The second prompt yielded more useful results, with all models offering helpful analysis and accurate Library of Congress call numbers. The findings suggest that Large Language Models (LLMs) are not yet reliable as primary tools for collection development due to inaccuracies and hallucinations. However, they can serve as supplementary tools for analyzing subject coverage and identifying gaps in health sciences collections. | |
| 610 | 4 | |a Library of Congress Chapman University | |
| 653 | |a Language | ||
| 653 | |a User services | ||
| 653 | |a Pharmacy | ||
| 653 | |a E-books | ||
| 653 | |a Integrated library systems-ILS | ||
| 653 | |a Medical libraries | ||
| 653 | |a Library collections | ||
| 653 | |a Researchers | ||
| 653 | |a Librarians | ||
| 653 | |a Physical therapy | ||
| 653 | |a Library cataloging | ||
| 653 | |a Health sciences | ||
| 653 | |a Hallucinations | ||
| 653 | |a Collection development | ||
| 653 | |a Large language models | ||
| 653 | |a Generative artificial intelligence | ||
| 653 | |a Chatbots | ||
| 653 | |a Physician assistants | ||
| 653 | |a Library associations | ||
| 653 | |a Information retrieval | ||
| 653 | |a Collection analysis | ||
| 653 | |a Information professionals | ||
| 653 | |a Libraries | ||
| 653 | |a Collection | ||
| 653 | |a Health | ||
| 653 | |a Science | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Language modeling | ||
| 700 | 1 | |a Carson, David | |
| 773 | 0 | |t Journal of the Medical Library Association |g vol. 113, no. 1 (Jan 2025), p. 92 | |
| 786 | 0 | |d ProQuest |t Healthcare Administration Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3163927458/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3163927458/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3163927458/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |