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?
After refining the prompt, the output quality improved significantly — the responses became more accurate, detailed, and aligned with my goals. Small changes in wording often made a big difference in clarity and relevance. Saving Changes...
I think it is important to give the context and also to refine, asking for a different output in case that the first one is not completely suitable to our purpose or to the outcome that we were looking for. I think that consistency and preseverance in looking for the result, is crucial as well. Saving Changes...
I think it is important to give the context and also to refine, asking for a different output in case that the first one is not completely suitable to our purpose or to the outcome that we were looking for. I think that consistency and preseverance in looking for the result, is crucial as well. Saving Changes...
I think it is important to give the context and also to refine, asking for a different output in case that the first one is not completely suitable to our purpose or to the outcome that we were looking for. I think that consistency and preseverance in looking for the result, is crucial as well. Saving Changes...
providing clearer context, specifying details, and reducing ambiguity, moving from a generic, irrelevant response to a more accurate, relevant, and useful one. Saving Changes...
Prompt refining by dividing into subprompt or subtasks and requesting it sequence would make GPT more meaningful and precise.
It is like we are asking some taks to execute by soemone , by explaining him all the subtask , expected results and iteration level to quality output.
That way LLM will understand and execute too. Saving Changes...
Anonymous
When applying for jobs, you often need to tailor your resume to a specific job description. So lately, I've seen the benefits of refining a prompt so ChatGPT doesn't inflate my skillset. I've had to force it to not make assumptions about my experience, while still presenting me as a viable candidate for a given job. Saving Changes...
Using ChatGPT for applying job, you have to be very cautious. It is very easy to get trapped in perfect grammar and wonderful phrasing, and riskier assumptions. However, when you apply for a job, you are subject to the recruiter, not the AI tools you used. So, maybe you can make a polished version, rearrange the strengths and weaknesses, but ultimately finalize it by yourself only. I feel that the minimum gap between the person sitting in front and the paper would help both. Saving Changes...
PMI Team Member
