Prompt Engineering for Academic Librarian: Implications and Applications of Prompt Engineering in Academic Librarianship

被引:1
作者
Lan, Haoyong [1 ]
机构
[1] Carnegie Mellon Univ, Univ Lib, Pittsburgh, PA 15213 USA
关键词
Prompt engineering; artificial intelligence; academic librarianship; generative artificial intelligence; large language models; higher education; chatbot;
D O I
10.1080/19322909.2024.2399055
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
The rapid advancement of generative artificial intelligence (AI) has transformed research and scholarly communication ecosystems. More and more instructors and researchers have started using generative AI chatbots to help with their academic teaching and research. Prompt engineering is the process of creating and refining inputs for generative AI chatbots to generate desired responses. Known for teaching users to refine academic database keyword searching and promoting critical thinking, academic librarians are well-positioned to use prompt engineering techniques to support academic research, teaching, and learning. This paper provides reviews about the implications and applications of prompt engineering for academic librarians and how they can use prompt engineering to support their work.
引用
收藏
页码:169 / 175
页数:7
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