The Art and Science of Prompt Engineering: Mastering Generative AI

Prompt engineering involves carefully crafting prompts to get generative AI models to produce the desired output. Mastering this skill requires understanding the model's capabilities and limitations.


  • Assistant Professor Yeqing Kong shares three proven approaches to prompt engineering: the rhetorical approach, the C.R.E.A.T.E. framework, and the structured approach.
  • The rhetorical approach involves stating your main claim and describing elements like audience, context, author ethos and credentials, emotional appeals, logic, arrangement, and style.
  • The C.R.E.A.T.E. framework stands for Character, Request, Examples, Additions, Type of output, and Extras. You describe the AI's role, make a specific request, provide examples, add details, specify the output type, and share reference materials.
  • The structured approach starts with the role, goal, and purpose; provides background context; defines the task; and supplies reference content.
  • Prompt engineering takes iteration and refinement. Fix issues with confusing or unnecessary information to improve responses.
  • Generative AI increases demand for liberal arts skills like writing, editing, and critical thinking that are key for prompt engineering.


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