A prompt is the content you enter into a generative AI tool in order to receive your desired output. It may not immediately create the content you envisioned, and you may need to refine your prompt to generate an output that closer aligns to what you want. Generated output can change based on the quality of the prompt and implementing prompt engineering can refine your content to more efficiently use a language learning model.
Prompt engineering is the process of structuring text using tactics to get better results. Knowing the capabilities and limitations of a tool can help you receive more accurate and relevant responses.
The Generative AI Solutions Hub has created Best Practices guidelines for campus to help you evaluate when, if, and how to incorporate AI as part of your process. Digital Humanities Librarian Mary Ton has summarized these with the acronym POWER. To learn more, visit the A Gentle Introduction to ChatGPT (September 2024) workshop recording on MediaSpace.
Note: All current students, staff and faculty on the Urbana, Chicago, and Springfield campuses who have a valid NetID are eligible to use LinkedIn Learning at no cost. Learn more from the Office of Chief Information Officer (CIO) Help and Training page over LinkedinLearning.