Cheng Yu Tung East Asian Library AI Innovation Series Workshop 1 – Jan 16, 2025

Session Description

The Cheng Yu Tung East Asian Library is actively developing the AI Innovation Series to support both library staff and the broader university community, including students, faculty, and researchers. For library staff, the series focuses on integrating AI into daily operations and special projects to enhance workflow efficiency and service delivery. For faculty, students, and researchers, the series offers insights into AI tools and methods that can enrich scholarship—particularly in East Asian Studies—and inspire innovation in academic research and teaching.

Required equipment and software:

• A personal laptop (mobile phones are not recommended)
• ChatGPT (Plus or EDU version preferred; a registered non-Plus version is also acceptable), Claude, or other chatbots like Perplexity, Microsoft Copilot, or Google Gemini
• Google Sheets (personal account, ending with @gmail.com)
• Dify Account (to be registered during the workshop.

Workshop One: Practical GenAI for East Asian Libraries

Tailored for library staff in the East Asian Library, but open to all UTL staff

Date: Thursday, January 16, 2025

• Session 1: 10:00 AM – 12:00 PM
• Lunch: 12:15 PM – 1:15 PM (Lunch provided to workshop participants)
• Session 2: 1:30 PM – 3:30 PM
• RSVP: https://forms.gle/FbYMtDmfCwL1278N6

This workshop is designed to provide participants with practical knowledge and skills for effectively integrating GenAI into their library workflows. In these sessions, we will explore how Generative AI (GenAI) can help streamline common tasks faced by East Asian library staff in their daily work. Library staff from other areas may also find these workshops useful. The sessions will cover, but are not limited to, the following topics:

1. Understanding the capabilities and limitations of GenAI
2. Creating effective prompts
3. Managing office administrative tasks
4. Cleaning and organizing data
5. Performing Named Entity Recognition (NER)
6. Generating metadata
7. Recommending Library of Congress Subject Headings (LCSH)
8. Leveraging APIs for repetitive and large-scale tasks
9. Automating workflows using tools like Dify (time permitting)
10. Building chatbots for database recommendation (time permitting)