Accessibility Compliance
1
Document Type
Presentation
Publication Date
4-9-2026
Keywords
AI, Large Language Models, Applied AI, AI Workflows, Generative AI
Disciplines
Computer Sciences | Education | Engineering
Abstract
This workshop introduces the concept of applied large language models (LLMs), focusing on how users can move from simple prompt-based interaction to building structured, repeatable AI-driven workflows. Participants explore how AI enables faster prototyping, lowers barriers to entry, and expands who can participate in building technology. Through a hands-on demonstration, attendees learn how to transform raw inputs into meaningful outputs such as summaries, key concepts, and actionable steps. The session emphasizes the importance of clear problem definition, iterative refinement, and critical evaluation when working with AI systems.
Recommended Citation
Zheng, Chengjie, "AIW26S: Applied LLMs" (2026). Paul English Applied Artificial Intelligence (AI) Institute Publications. 27.
https://scholarworks.umb.edu/ai_pubs/27
Rights
© 2026 Chengjie Zheng
Comments
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