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?
Yes, it helps hereby the initial outputs serve as checkpoints as well, allowing you to be the human in the loop. The first few responses/artifacts demonstrate the AI is aligned with your project context and goals. Saving Changes...
Improving a requirement drastically changed the quality of the result. Using specific changes to refine the requirement, such as those used in agile methodologies, user stories consist of three main components:
User (which allows us to specify the user type)
Goal (what the user wants to do or what problem they want to solve)
Value (how important it is for the user to achieve this goal)
The most common templates for user stories are: As a ..., I want to... so that...
As a customer:
I want to save my shipping address
so I don't have to enter it next time.
Who-What-Why
Who: Customer
What: Save shipping address
Why: Save time during the checkout process
This process helps to achieve better results, and it's good training for refining prompts. Saving Changes...
Nedal DudinProject Management Consultant and Educator| Trace Consulting LtdAmman, Amman, Jordan
Chaining the prompt using CREATE is powerful technique Saving Changes...
I don't have much experience with prompt engineering (which is why I'm here). I generally word-vomit everything on my mind and then take the output and ask for specific revisions. I have never worried about providing too much information - I've always had better luck providing lots of context and details. I wait to see what comes out and go from there. I have a lot to learn here. Saving Changes...
Anonymous
It has helped me better manage my tasks and team assignments. The AI has condensed my notes after meetings to better streamline communication.
Providing the context and clear requirement gives a more accurate output. I tried to change some of the parameters and see if the output improves. Over multiple iterations the output is better and improved.
Providing the context and clear requirement gives a more accurate output. I tried to change some of the parameters and see if the output improves. Over multiple iterations the output is better and improved.
I tried to be more precise giving a clear scope and output format, this training will allow me to improve my scenario with CREATE and ARF pattern Saving Changes...
I am very new to Gen AI, however with 30 plus years in industry, I can truly see the benefits of prompt refinements to get more accurate results. In my experience, I liken it to the way humans learn, its through iterative processes and continual refinements to provide the best solution. Except Gen AI never gets tired, stressed or overwhelmed !! Saving Changes...
PMI Team Member
