Project Management

Please login or join to subscribe to this thread

In your experience with GenAI, how has refining a prompt drastically changed the output quality?

linkedin twitter facebook   Artificial Intelligence  
avatar
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?
Sort By:
< 1 ... 7 8 9 10 11 12 13 14 15 16 17 ... 147 >
avatar
Madhusudhan Srinivas Kumbhashi Mr. Bangalore, Karnataka, India
Refinement till you reach end result, improvise your thoughts and questions
avatar
Antun Purgar Manager, Risk Analysis & Mitigation| ReliabilityFirst Corp. Brunswick, Oh, United States
With each prompt refinement, the output was more comprehensive, concise and usable.
avatar
Reginaldo Oswaldo Sr Manager| NTT Brazil
Thanks for share
avatar
Elsayed Eid Cairo, MNF, Egypt
THATS NICE
avatar
Reza Ram Senior Manager| EY London, United Kingdom
This example is from a graphical AI application where I was looking to generate visuals for a presentation: it was impressive how much control one has over the output by being specific about the time period of the picture, time of day, weather, number of people in the picture, zoom & focus.
avatar
Ali Soumi Program Manager - Change Expert United States
In my experience, using prompt refining helps me save time and effort. although it seems very time consuming to write a concise prompt at first, but results says another
avatar
Cláudio Manuel Gestor de Projectos| Banco BAI Luanda, Lua, Angola
refining the prompts allows the AI to learn during the conversation and one thing I do, I use the same prompt for two different platforms and based on the feedback I provide more details to the one that fits my inicial request (outcome), and the result is satisfactory
avatar
Harley Esguerra Enterprise Project Manager | PointClickCare Burlington, Ontario, Canada
I have been using COPILOT the past 3 months as a program director. Leading many types of calls, I have come up with 3 workflows (templated rinse/repeat, semi customized and fully customized). The CREATE is definitely what I am going to use moving forward for my customized version. Thank you for this and I cannot wait to start to use this approach. Garbage in-garbage out is how I see prompt engineering.
avatar
LIGIA-INEZ ZAMBRANO Project Manager| OmniPoint Consultants Orlando, United States
A concise clear message is always my goal when communicating. I've found through refining, AI provides a clear concise message without losing any vital information and addresses question proactively through the concise respond
avatar
Anonymous
Although I haven't worked with prompt engineering much, I can assume the approach of breaking a prompt into subtasks would help the LLM give more effective outputs.
< 1 ... 7 8 9 10 11 12 13 14 15 16 17 ... 147 >

Please login or join to reply

Content ID:
ADVERTISEMENTS

"No one ever went broke underestimating the taste of the American public."

- Henry Lewis Mencken

ADVERTISEMENT

Sponsors







Vendor Events

See all Vendor Events

Newsletters

Jun 3: The Career Problem Facing New PMs
May 20: Your PM Career as a Project Life Cycle
May 13: The Big Lie After Layoffs

See all newsletters