Rather than collecting and processing data, "the most useful thing ... in this AI-haunted moment: creating grimoires, spellbooks full of prompts that encode expertise", but not those resulting from "elaborate “prompt engineering”... [as] prompt engineering is overrated... the prompts of experts ... encode our hard-earned expertise in ways that AI can help other people apply... to gift others with your own abilities."
All you actually need is to "build a good prompt ... asking the AI to do something in back-and-forth dialogue, combined with trial and error, and a few small tricks". For example, whereas “explain XX like I am five” is not a good prompt - tutors need to "interact with the student, forcing them to make an effort, pay attention to the material being learned, and connect what they are learning to old knowledge". Instead, Mollick provides a far more detailed tutor prompt (372 words) which "takes a student through a learning experience based on the research on tutoring... designed for anyone to use, because it is interactive, asking questions".
How to build your spellbook:
"the elements of a good expert prompt:
Conclusion: "You can be the world AI expert in whatever narrow field of expertise you want to apply AI, because no one else has yet figured out that use."
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More Stuff tagged expertise , ai prompt , llm , ethan mollick , al
See also: Large language models
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