Keywords
prompt engineering, artificial intelligence, clear framework, traci framework
Abstract
This presentation explores the fundamentals of effective prompt engineering, which involves well-crafted instructions for AI models to generate meaningful responses. Effective prompts can be written using frameworks like CLEAR and TRACI. The CLEAR Framework focuses on conciseness, logical structure, explicitness, adaptability, and reflection, while TRACI emphasizes task, role, audience, creation, and intent.
Additionally, the presentation addresses ethical considerations and best practices in prompt engineering, including academic integrity, attribution and transparency, and the importance of evaluation and assessment. By mastering these techniques, users can optimize their interactions with AI models, ensuring accuracy, relevancy, and minimizing bias.
Publication Date
4-15-2025
Document Type
Conference Presentation
Copyright Status
Author retained
STARS Citation
Rubin, Mary and Vacek, Rachel, "Introduction to Prompt Engineering" (2025). Faculty Scholarship and Creative Works. 1313.
https://stars.library.ucf.edu/ucfscholar/1313
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