Director, Learning Design & Development| PMIAsheville, NC, United States
With Generative AI, iteratively refining and optimizing prompts can lead to better AI-generated results. This may involve adjusting the specificity or clarity of the prompt to increase relevance and accuracy of results.
What examples do you have of how improving a prompt drastically changed the output quality? What specific changes did you make that led to the improvement?
The more context and feedback you gave the AI the better is the responses you get, also this is helpfull at the beginning when you are not sure on How to ask
The more context and feedback you gave the AI the better is the responses you get, also this is helpfull at the beginning when you are not sure on How to ask Saving Changes...
Refining prompts has definitely helped with much better results. It is like humans re-writing email drafts or documentation a couple of times to get the desired outcome. AI is constantly learning and refining prompts helps improving AI learning and also helps humans to better interact with AI. Saving Changes...
I believe it must be an effective prompt to get the value with different output, however, human efforts are essential and can't depend 100% on AI by itself. Saving Changes...
I have little experience with GenAi but I have observed that any little feedback or aditional information to the AI system clearly improve the output with much more quality. Saving Changes...
I disagree with the idea that frameworks like R-T-F, T-A-G, B-A-B, C-A-R-E, and R-I-S-E are essential for prompt creation. These structures can be restrictive and may stifle creativity and flexibility in designing effective prompts.
I think that the frameworks are essential in that they exist to help those that are new, jumpstart the creativity needed for prompt engineering. While some individuals can jump right in, others need guidelines and examples before they become comfortable with the tool Saving Changes...
Uttam KumarEngineering Manager| American Eagle OutfittersPittsburgh, PA, United States
Using GenAI, I learned that changing the words I use to ask for something makes a huge difference in what I get back. At first, I got okay answers. But when I was very clear and specific about what I wanted, the answers were much better. Instead of saying "give me a summary," I'd say "give me a short summary of this sales report, tell me about the different areas, and give me ideas on what to do, in a list." This gave me much more useful results. Being very clear helps GenAI give you exactly what you need. Saving Changes...
In my experience, designing a clear, concise prompt, with an appropriate context and a specific role, allows obtaining a fairly precise and coherent first response that can be improved using iteration and then expanding it through the chaining method.
PMI Team Member
