Improving AI Prompting by Identifying Unknowns
▶ The 60-second brief
Key takeaways
- Identifying 'unknowns' is key to better AI prompting.
- This method improves prompt precision and AI output quality.
- Analyzing output artifacts can help uncover unknowns.
- Structured pre-prompting enhances AI tool utilization.
Who benefits
Summary
The author shares a method for enhancing AI prompting, particularly with the Fable tool, by systematically discovering and addressing personal 'unknowns' to formulate more effective queries.
Why it matters
Effective prompt engineering is crucial for maximizing the utility of AI tools, and this method offers a structured way for professionals to improve their interaction quality and achieve desired outcomes.
How to implement this in your domain
- 1Adopt a pre-prompting phase to brainstorm potential unknowns related to the task.
- 2Utilize tools or techniques, like analyzing output artifacts, to reveal implicit assumptions or missing information.
- 3Refine prompts iteratively based on identified unknowns and AI responses.
- 4Document successful prompt patterns and the unknowns they address for future reference.
Original post by @trq212
"I’ve found the most important part of working with Fable is discovering my own unknowns so I can prompt it better, heres how I do that. You can see examples of HTML artifacts for finding unknowns here: this is one of the posts that my AIE talk was based on s/o to @geoffreylitt fo…"
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Originally posted by @trq212 on X · view source
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