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?
Being concise and specific helps the AI to give some valuable answers. It also learns with time as you ask further questions.
Using prompt chaining also helps to get better results as you break down the tasks for the AI to focus on in each iteration. Furthermore, providing examples improves the output generated. There is a vast difference in output when prompts are clear and structured vs generic and overloaded
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Michelle DMonteProgram & Operations Leader | PMO, Compliance, and Process Improvement
In my experience, refining a prompt is usually the difference between a generic answer and one you can actually use.
The biggest improvement comes from being specific about who it is for, what it should focus on, and what kind of response you want. For example, “summarize this update” gives a broad recap, but “summarize this for a steering committee with a focus on schedule, budget, risks, and decisions” gives something much more useful.
I also see a big jump in quality when I set the tone or format. Vague prompt, vague output. Clear prompt, clear output. Saving Changes...
Refining a prompt can change GenAI output as dramatically as changing the requirements on a project charter — same system, same capabilities, but the direction becomes sharper, the constraints clearer, and the results suddenly align with what you actually needed.
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Anonymous
Refining a prompt can change GenAI output as dramatically as changing the requirements on a project charter — same system, same capabilities, but the direction becomes sharper, the constraints clearer, and the results suddenly align with what you actually needed.
Saving Changes...
Anonymous
Refining a prompt can change GenAI output as dramatically as changing the requirements on a project charter — same system, same capabilities, but the direction becomes sharper, the constraints clearer, and the results suddenly align with what you actually needed.
Saving Changes...
Anonymous
Refining a prompt can change GenAI output as dramatically as changing the requirements on a project charter — same system, same capabilities, but the direction becomes sharper, the constraints clearer, and the results suddenly align with what you actually needed.
I was exploring an autonomous agentification system development to implement the prototype for which the LLM had given a response generic way. I had to do multiple conversations to get to a clear response through chain of prompts by refining it. Saving Changes...
I was exploring an autonomous agentification system development to implement the prototype for which the LLM had given a response generic way. I had to do multiple conversations to get to a clear response through chain of prompts by refining it. Saving Changes...
When using GenAI it is important to use specific and clear instructions for prompting. The results are better and much more useful. AI learns and grows from your input as well. Saving Changes...
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