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?
Refining a prompt significantly impacts the output quality in GenAI by enhancing clarity and specificity, which guides the AI to generate more accurate and relevant responses Saving Changes...
Sneh LataProduct Owner - AI Transformations| RChilli Inc.Oakville, Canada
Refining prompts using CREATE significantly improved GenAI output during my work. When interacting with AI, I defined the role, task, output format, and especially the tone. This structured prompting reduced hallucinations and ensured secure, ethical, and compliant outputs. It accelerates the product development with consistent training. Patience and perseverance are the keys; they are learned through constant interaction over time. Saving Changes...
I believe follow the best practices and guideline to improve prompt engineering to get the better results from Generative AI, which is getting more improved with its improved LLM. Saving Changes...
DANIEL AKINBODUNSEElectrical Engineer| EntergyStilwell, Ks, United States
GenAI iteratively refining has helped obtained better results and outputs needed to implement assigned task. Saving Changes...
Below are two examples where a better prompt changes and improves the response quality.
Example 1: Project Status Report
Before: “Generate a project status report.”
After: “Generate a weekly IT infrastructure project status report with timeline, RAG status, risks, and next steps for execs.”
Result: Clearer, structured, and stakeholder-ready output.
Example 2: Risk Register
Before: “Create a risk register for cloud migration.”
After: “Create a risk register for on-prem to AWS migration with risk, impact, likelihood, mitigation, and owner.”
Result: Detailed, actionable register aligned with PMO standards.
What Made the Difference:
- Added specificity
- Clarified format and audience
- Defined expected structure
Better prompts = better outcomes.
Saving Changes...
Natalie KaletaProject Manager| Morgan StanleyToronto, ONTARIO, Canada
Refining a prompt drastically changes the output quality, as gen AI matches the granularity to the input. If the input is specific in terms of ask and format, then the output will provide just that. You get out what you put in - the more clear and concise your ask the better your results. Saving Changes...
TRUDY WATERMANProgramme Implementation Officer| Caribbean Centre for Development AdministrationSt. James, Barbados
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).
This is a great tip. Thanks for sharing. Saving Changes...
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