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?
Thank you for sharing the prompt frameworks. I truly appreciate the effort and thought you’ve put into compiling and sharing these resources. I am always on the lookout for ways to improve the clarity, structure, and effectiveness of the inputs I provide, and these frameworks seem like they could be highly beneficial in that regard.
I will review them in detail and explore how they can be incorporated into my workflow to enhance both the quality of my prompts and the outcomes they generate.
Thanks once again for your valuable input and support.
Saving Changes...
Bhupendra JainAGM -Technical Support ,Training Architect & THD| Lipi Data Systems Ltd.Udaipur, RJ, India
Thank you for sharing the prompt frameworks. I truly appreciate the effort and thought you’ve put into compiling and sharing these resources. I am always on the lookout for ways to improve the clarity, structure, and effectiveness of the inputs I provide, and these frameworks seem like they could be highly beneficial in that regard.
I will review them in detail and explore how they can be incorporated into my workflow to enhance both the quality of my prompts and the outcomes they generate.
Thanks once again for your valuable input and support.
A lot — it really helps, and you can already see the difference even after completing this course. Saving Changes...
Arun MamgainTechnical Director| DRE / DDDC Dubai - UAEDubai, United Arab Emirates
Jun 21, 2024 11:10 AM
Replying to Sergio Luis Conte
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It is important to remember this: generative AI is just "predictive text with storoids". Obviously not only text will be the result. BUT the important thing is the answer will just to complete your question (prompt) with the things that have more probability to complete it. You can manage it using some of the parameters like temperature. So, it is very important when creating the prompt to put clear the role, the place where the role works/live/etc, the task the role has to accomplish and the format of the answer. This is an example of R-T-F. You have to eliminate as ambiguity as possible. If not, then hallucinations will happened.
Thanks for sharing Saving Changes...
Elizabeth LiguoriDirector, Operations and Grants Management| Partnership to End AddictionNew York, NY, United States
Refinement has helped tremendously with tone. I think AI needs very specific examples to get that component right. At my organization we've found that by giving the LLM empathy statements we can create an output that embodies the empathetic tone we are looking for. Saving Changes...
RICHA VYASRICHA VYASMorrisville, NC, United States
To take full benefit of AI, one needs to master the art as AI is learning along with the user. Clarity of prompts, experimenting what worked best, developing your own approach if one doesn't want to follos a framework is going to take a PM long way, all the best to all here! Saving Changes...
James MollCIO| Pretty Pickins LLCDouglassville, Pa, United States
Continuing to refine until you get the desired result is quite often very necessary, and eventually pays off. Saving Changes...
One example was when I needed AI-generated content to strictly match a source document’s original terminology. Initially, the AI paraphrased key phrases, which diluted the accuracy and alignment with the intended meaning. By refining the prompt to include the constraint “only use exact words from the document, ‘as is,’ without rephrasing,” the output shifted dramatically. The results stayed 100% faithful to the document’s exact terms, preserving both its technical precision and its efficacy for the target audience. Saving Changes...
It is important to remember this: generative AI is just "predictive text with storoids". Obviously not only text will be the result. BUT the important thing is the answer will just to complete your question (prompt) with the things that have more probability to complete it. You can manage it using some of the parameters like temperature. So, it is very important when creating the prompt to put clear the role, the place where the role works/live/etc, the task the role has to accomplish and the format of the answer. This is an example of R-T-F. You have to eliminate as ambiguity as possible. If not, then hallucinations will happened.
Thanks for this sharing and insights I will definitively rely on Saving Changes...
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