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?
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 very helpful information. Thank you. Saving Changes...
Through GenAI, refining a prompt is key to drastically communicate and change output quality that yields clearer and more specific responses, narrows the search to focus on the most relevant aspects of a topic, with coherent and applicable content responses. Style and tone can also be tailored to insight preferred responses that mimic the writer. Saving Changes...
In my experience refining the prompt has led to more accurate results Saving Changes...
Anonymous
I have asked ChatGPT to "try again" and with some context with what I'd like different with success. Saving Changes...
JORGE LUIS CANAL ROAKNOWLEDGE MANAGEMENT ADVISOR| bogotaBogota, Bogota, Colombia
DDefinetly using a structured format to interact with AI is the key for optimzing results, in my case i've been using AI for requesting proposal under specifict frameworks so in that cases is so use and powerfull feed the AI by little chunks and then chailing each response Saving Changes...
personally, when I have changed the structured of the prompt, giving it a role, and a output format including a context more specific. The response is more accurate for the need that I want to solve Saving Changes...
Specificity: Define what you want in terms of format, audience, and scope.
Context: Provide role, persona, or purpose to guide the AI's tone and focus.
Constraints: Limit the output to avoid irrelevant or excessive information.
Structure: Break down broad prompts into clear steps or sections.
Feedback: Use iterative refinement to fine-tune results.
Each adjustment focuses the AI's response, ensuring relevance, clarity, and alignment with the intended goal. Saving Changes...
There is no doubt that improving the way artificial intelligence is directed has yielded positive results. I realized this through my first experience in dealing with artificial intelligence, that wonderful and unique results can be obtained if you direct the correct direction and use clear formulations. Saving Changes...
There is no doubt that improving the way artificial intelligence is directed has yielded positive results. I realized this through my first experience in dealing with artificial intelligence, that wonderful and unique results can be obtained if you direct the correct direction and use clear formulations. Saving Changes...
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