A hands-on workshop titled “AI Made Practical for the Library” was successfully
conducted for the NUST Library staff. The primary objective of the session was to
bridge the gap between theoretical AI concepts and their practical application within
the library ecosystem. The workshop provided a comprehensive overview of AI
methodologies and offered practical exposure to cutting-edge tools to enhance
operational efficiency.

The workshop was structured into three core phases:

I. Theoretical Framework
The session commenced with a broad introduction to the scope of Artificial
Intelligence. Participants were introduced to various branches of AI, including
Machine Learning and Generative AI, alongside the methodologies that govern how
these systems process and generate information.

II. AI in Library Operations
A dedicated segment focused on the integration of AI within standard library
workflows. We discussed the transformative potential of AI in:
Cataloging: Automated metadata generation and categorization.
Information Retrieval: Advanced semantic search capabilities beyond keyword
matching.
Referencing: Streamlining citation management and bibliographic verification.
Personalized Recommendations: Leveraging AI to suggest reading materials
based on user behavior and research trends.

III. Hands-on Practical Session
The highlight of the workshop was the hands-on segment, where staff members
were encouraged to interact directly with AI tools. The focus was on practical
prompting and research support strategies using:

👉Gemini
👉NotebookLM

Participants learned how to craft effective prompts to summarize research papers,
organize library data, and generate creative content for library promotion.

The workshop was exceptionally interactive. The library staff demonstrated a high level of curiosity, engaging the speakers with a continuous stream of questions and insightful comments. Topics of interest ranged from the ethical implications of AI in academia to the technicalities of data privacy within library
systems. #DefiningFuture #CentralLibraryNUST #NUST #ArtificialIntelligence