Chen, Yinlin2024-07-262024-07-262024-03-25https://hdl.handle.net/10919/120702This presentation introduces a specialized prompt library for academic libraries, focusing on collecting and sharing effective prompts to fine-tune Large Language Models (LLMs). By gathering a wide range of prompts that reflect real-world academic queries and scenarios, this initiative seeks to enhance the adaptability and accuracy of LLMs. The prompt library acts as a vital instructional dataset for AI training and fosters a collaborative environment where librarians, educators, and researchers can exchange effective prompts and develop new techniques. This project underscores the role of bridging digital libraries, information science, and AI. It showcases how prompt engineering and generative AI can transform academic libraries into more responsive, efficient, and intelligent resources, thereby contributing to the broader communities.application/pdfenIn CopyrightConference proceeding