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When using AI systems, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

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Sarah Philbrick
PMI Team Member
Director, Learning Design & Development| PMI Asheville, NC, United States

Validating and checking outputs is critical when working with AI systems like Generative AI. Such validation approaches may include establishing clear criteria, implementing strong testing protocols, and continuous refinement.

In your experience with AI, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

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Trinity Thompson United States

Some best practices include giving the AI clear and specific instructions, providing enough context about the goal, and reviewing the response carefully. AI-generated information should also be verified against reliable sources when accuracy is important. If the response does not fully meet the original goal, the prompt can be adjusted by adding more details, constraints, or clarification until the output is more useful.

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Rafael Santos Brazil

A very good question and also difficult to answer as well. However you have to go to the basics and say as far as you are concerned, how well are you versed with the subject at hand ?

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Mohamed Fayad United Facilities Management ahmadi, AH, Kuwait

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Johnny Segarra Director of PM/PMO| TECSINFO Guayaquil, Guayas, Ecuador
I believe the "chain-of-feedback" pattern allows for evaluation before proceeding to the next task. This helps ensure the response remains aligned with the objective.
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