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?
Olive BUME ADA NGOLEFunctional Manager| ENEO CAMEROON S.ADouala, Littoral Region, Cameroon
Using the formates correctly will provide a better prompt framework, refrinding with concised and specific with breaking down the structures into few prompts, also povides a great reaponse.
...
1 reply by Farah Zafar
Sep 03, 2025 5:21 PM
Farah Zafar
...
Iteratively and chaining provided a better prompt frame work
Saving Changes...
Olive BUME ADA NGOLEFunctional Manager| ENEO CAMEROON S.ADouala, Littoral Region, Cameroon
Using the formates correctly will provide a better prompt framework, refrinding with concised and specific with breaking down the structures into few prompts, also povides a great reaponse. Saving Changes...
Olive BUME ADA NGOLEFunctional Manager| ENEO CAMEROON S.ADouala, Littoral Region, Cameroon
Using the formates correctly will provide a better prompt framework, refrinding with concised and specific with breaking down the structures into few prompts, also povides a great reaponse. Saving Changes...
Olive BUME ADA NGOLEFunctional Manager| ENEO CAMEROON S.ADouala, Littoral Region, Cameroon
Using the formates correctly will provide a better prompt framework, refrinding with concised and specific with breaking down the structures into few prompts, also povides a great reaponse. Saving Changes...
Thomas ParhamPrincipal Consultant| Technology Leadership ServicesEncinitas, Ca, United States
I've learned that iterating, using examples and being more specific all contribute to better prompting results. Saving Changes...
Sugat RamtekePM III| Wilmar International Ltd.Thane, Maharashtra, India
Refining the prompts certainly helps in improving the specificity of the responses. We could compare the Prompting process to Project Planning Phase where we dedicate enough time towards planning every aspect of a project. The way detailed planning helps in smoothening the project execution phase, similarly, Prompt refining helps in getting accurate results which are relevant to us. Saving Changes...
II'm an electrical engineer, and from the control engineering perspective, one of the oldest and most popular problems is setting up the parameters of the feedback motor controller, which basically a method to readjust the output by sampling it and feeding it back, it depends on how accurate you define the process and set up the controller parameters, so the key answer is DETAILS,
Provide the LLM with as mush details as possible, detailed information about the inputs in whatever format, explain the problem in detail, define the required tasks, and define how accurate and precise the results, and I'm sure you'll get better results quality. Saving Changes...
Prompt Refining is crucial in output quality improvement. It helps a lot to add more context, restructure your questions and establish quality evaluators in engineering your prompt. This is a helpful daily skill every Project Professional should train and develop! Saving Changes...
OGHENEKEVWE KOFICUSTOMER PROJECT MANAGER| LM Ericsson Nigeria LimitedLagos, Nigeria
I have just learned the RTF and CREATE techniques and my results are way better of now. Saving Changes...
Including examples and detailing a better context allows the result to be appropriate. Breaking down a complex problem into specific pieces of it has also generated better results.
La inclusión de ejemplos y detallar un mejor contexto permite que el resultado sea apropiado. El desglosar un problema complejo en pedazos expecíficos del mismo también ha generado mejores resultados. Saving Changes...
PMI Team Member
