Prompt Engineering to Unlock Generative AI's Potential


There is a wide range of practical prompt engineering strategies and techniques to become highly skilled at composing effective prompts for generative AI systems. Mastering prompt engineering can make or break your success with generative AI.


  • There are many reasons to learn prompt engineering including improving generative AI responses, avoiding wasted time and cost, developing better mental models of how AI systems work, and preparing for the expanding role of AI.
  • Strategies covered include persistent context, multi-personas, chain-of-thought prompting, retrieval augmentation, skeleton prompts, show vs tell approaches, vagueness, flipped interaction, verification prompting, and many more.
  • Techniques such as imperfect prompting, macros, privacy considerations, emotional expression, and overcoming limitations like reverse curse and dumbing down are also summarized.
  • Prompt engineering involves tradeoffs and judgments about when and how to apply different strategies based on the situation and desired outcomes.
  • Fluency, clarity, specificity balanced with conciseness are key prompt writing principles.
  • Prompt frameworks, training courses, and add-ons are available to aid prompt engineering.
  • Legal restrictions around acceptable vs prohibited uses of generative AI prompt continue to evolve.
  • Overall, prompt engineering is a vital skill for successfully leveraging contemporary and future generative AI systems across a growing range of applications.


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