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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
Refining a prompt truly makes all the difference. It turns a basic outcome into a masterpiece.
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Anonymous
Refining a prompt truly makes all the difference. It turns a basic outcome into a masterpiece.
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Nia Younge St. Louis, MO, United States
In my experience with GenAI, refining prompts has a significant impact on output quality. Initially, my vague prompts led to generic responses. However, by being more specific provided me with more relevant and actionable insights.
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Nia Younge St. Louis, MO, United States
In my experience with GenAI, refining prompts has a significant impact on output quality. Initially, my vague prompts led to generic responses. However, by being more specific provided me with more relevant and actionable insights.
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Eleonora Muhametova Winncom Technologies Tashkent, TK, Uzbekistan
By iteratively refining the prompt, me and the AI ​​were able to create a highly customized work requirements assessment table that was specifically tailored to a specific customer and in a specific segment.
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Anonymous
When I refine a prompt, I am able to either see additional detailed output or observe a format or output that was not in line with what I initially perceived. Refining the prompt gives me an opportunity to get closer to an intended result.
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Anonymous
Being specific and clear ensures that the output is accurate. PMs still need to validate the output
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Sultan Aldarsouni Riyadh, 01, Saudi Arabia
Jun 21, 2024 7:28 AM
Replying to Sergio Luis Conte
...
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).
I agree. Those are extremely helpful and useful frameworks. You have to be specific, clear, and detail oriented with AI to get the best answers.
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Leonard Marchese Founder & President| Rethink Inc. Chicago, Il, United States
Responses are more accurate and relevant. There's a difference. Accurate to my request and relevant to my role. Elaborating to a strategy ensures to apply it properly.
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SWAPNIL BANKAR PUNE, MH, India
Definitely it has changed the quality with refining prompts using various methods like RTF and CREATE. Earlier i used to request the details without using any methods which were giving output/content in general. But when i actually started defining a role for my prompts and the situations for which i wanted to have a response, i started getting more precise and sensible responses. Responses in the form of Email, setting up a meeting agenda, preparing for PMP etc.
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