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In your experience with GenAI, how has refining a prompt drastically changed the output quality?

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Sarah Philbrick
PMI Team Member
Director, Learning Design & Development| PMI Asheville, 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?

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Anonymous
Specificity with the initial prompt helps get you in the ballpark. By iteratively prompted the AI with appropriate follow ups, the tool is able to better define the output toward what you are looking for. I keep going layers deep with the questions to refine the response and it helps immensely.
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Giancarlo Patino Program Manager| Freese and Nichols, Inc.
Just by implementing the RTF model with prompt refinements, the output becomes so much more organized and focused.
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Getjan G.W.J. Lammers Project Manager| Descartes Systems Group Apeldoorn, Netherlands
Jun 21, 2024 7:28 AM
Replying to Sergio Luis Conte
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There are framewoks to create prompt. This is part of the Prompt Desing discipline. Those that gave me and the initiatives where I was included are:R-T-F (Role-Task-Format), T-A-G (Task, action, goal), B-A-B (Before, after, bridge), C-A-R-E (context, action, result, example), R-I-S-E (role, input, steps, expectations).
Very clear about the frameworks (acronyms 😉) and 1 point that i learned is that you can add a file to be used as input or sample .
The latter really made a positive difference.
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Karin Lovelady Chicago, Il, United States
Jun 21, 2024 7:28 AM
Replying to Sergio Luis Conte
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There are framewoks to create prompt. This is part of the Prompt Desing discipline. Those that gave me and the initiatives where I was included are:R-T-F (Role-Task-Format), T-A-G (Task, action, goal), B-A-B (Before, after, bridge), C-A-R-E (context, action, result, example), R-I-S-E (role, input, steps, expectations).
Adding your Prompt Design Discipline references to my notebook. Thanks...kl
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Usman Arshad Bashir REGINA, SASKATCHEWAN, Canada
Refining a prompt is crucial for obtaining high-quality outputs from GenAI models. By providing clear, specific, and detailed instructions, you can significantly enhance the relevance, depth, and usefulness of the generated content. This process involves considering the context, desired format, tone, and specific details to guide the AI in producing the best possible response.
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Christina Dietrich Customer Project Manager| Nokia of North America Seattle, Wa, United States
Jun 23, 2024 5:15 PM
Replying to Booma Pugazhenthi
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To improve getting answers from GenAI tools, try adding specific instructions to your prompt, such as "Generate ten different questions about project management, similar in style and difficulty to the PMP exam, and provide detailed answers for each." This ensures the tool understands the need for questions and answers in the output.
Appreciate your explicitly stating that answers were wanted, Booma. I didn't see that in the original modified text and was confused about how one would get an improved response from posting the same request twice.
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Linda Haywood United States
Continuing with the comparison to when the internet first came out, refining prompts greatly improves output by narrowing the dataset from which results are pulled thereby increasing relevancy, accuracy, and appropriate context.
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Lisa Davis Willingboro, Nj, United States
Jun 21, 2024 10:50 AM
Replying to Kiron Bondale
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Sarah -

This morning, one of my LinkedIn contacts complained that GenAI tools don't seem to have the ability to craft decent quality PMP practice exam questions. He had used the public version of ChatGPT. I decided to check the same with PMI Infinity and got better results - seven out of ten questions were acceptable.

My first prompt was "Generate ten different questions about project management which would be similar in style and level of difficulty to what is asked on the PMP exam"

It only gave me the questions but neglected to provide any answers. Realizing that this was likely it interpreting what I had asked for "as is", I then added: "Generate ten different questions about project management which would be similar in style and level of difficulty to what is asked on the PMP exam".

With that it was able to provided more useful output.

Kiron
Excellent example of what refining prompts will do for the PM
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OLUWATOYIN TOBUN IKEJA, LA, Nigeria

Refining a prompt really makes a difference. The clearer and more specific you are, the better the results. When the prompt’s vague, you get generic answers. But with the right details, the AI can give you exactly what you need. It’s all about asking the right questions.

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Gerard Laffan Program Manager| Intel Clare, Ireland, Ireland
Absolutely, breaking down prompts, refining persona, altering tone, changing key works and being more clear and concise have brought better output. Even better is to evaluate and ask questions back.
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