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?
Amanda JohnsonMBA, MSM, PMP, PSM I, LSSYB| NoneMontevideo, Departemento de Monevideo, Uruguay
I found early on that "talking to" AI is very much like talking to a toddler. You can't ask it to do too much at once, so I learned to ask AI to remember information to refer back to it and to break down my requests. Saving Changes...
refine/precise scope prompt based on business need, audit the result, iterate the process test, until reach the objective and Saving Changes...
Alejandro AzconaProject Director| GradiantBoise, ID, United States
By refining the promp by any of the described methods, the iteration will enhance the response for sure, making it more concise, precise and therefore,more useful. Saving Changes...
From my experience with GenAI, refining a prompt can drastically improve the quality of the output. At first, I noticed that using broad or vague prompts often led to generic or off-target responses. But by fine-tuning the prompt-adding clearer instructions, context, and even specifying the tone-I saw a significant improvement in how accurate and relevant the results were.
For instance, I might start with a basic prompt like "describe a project plan," which would usually return a very general response. However, when I refined it to something more specific, like "outline a detailed project plan for a construction project, highlighting the timeline, key milestones, and resource allocation," the AI produced a much more focused and comprehensive answer. It really showed me that the more precise and guided the input, the better the output. Saving Changes...
Lisa McCaffreyStrategic Development Manager| HP, Inc.Beaverton, Or, United States
Garbage in = garbage out.
Invest the time with your prompts by providing specificity, context, tone, and examples and with iteration, refined prompts will be the result.
Saving Changes...
Elizabeth MassuraPrincipal Marketo Consultant| AcxiomChicago, IL, United States
I'm pretty new to this, but I've tried asking ChatGPT followup questions to get more precise responses. Saving Changes...
I used Gemini for project activities and ChatGpt (public) for some personal work. Initially my questions were not specific. I got vague responses and also getting responses in different topics than what I asked. When I started refining my questions, I got decent answers with better quality. I used RTF and CREATE approaches, Saving Changes...
Anteneh MekonenGrants and Compliance Specialist| Amref Health Africa, EthiopiaRosemount, Mn, United States
In my experience with GenAI, refining prompts significantly enhances output quality. Here are a few key points:
Clarity of Intent: Clearly stating the desired outcome helps the AI understand the context better, leading to more relevant responses.
Specificity: Adding specific details about the target audience or format tailors the output to my needs, making it more useful.
Iterative Improvement: Adjusting prompts based on previous responses allows for continuous refinement, resulting in higher-quality information.
Contextual Information: Providing background details enables the AI to generate more nuanced and applicable insights.
Focus: Defining what to exclude keeps the AI on track and aligned with my objectives.
Overall, refining prompts not only improves the quality of the responses but also enhances my communication with the AI, yielding more actionable insights for my projects.
In my experience it can drastically change the output. For example, just a simple request to format the information in a table, can drastically improve understanding and alignment with audience needs. Saving Changes...
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