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This is a 60-minute workshop with 30 minutes at the end for questions.
This session will equip faculty members with the skills and knowledge to craft effective prompts for Generative AI. Participants will explore the concept of prompts, different types of prompts (casual/brief, conversational/refined, and structured/step-by-step), and how Generative Pre-trained Transformers (GPTs) interact with these prompts. The session will introduce the CLEAR framework for prompting and cover prompting basics, including context, roleplay, instructions, outcome indicators, and examples. Attendees will learn about various prompt structures, such as the Act Context Deeply Questions (ACDQ) structure and the Reference Request Format and Framing (RRFF) structure, as well as specifications for image prompting. The session will include practical examples of prompting exercises for the classroom and faculty uses of prompting, concluding with a hands-on activity to practice these techniques.
Learning Outcomes:
By the end of this session, participants will be able to:
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All GenAI workshops offered by the Teaching & Learning Centre in winter 2025:
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