Project Management

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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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Devidasan Madambath Navi Mumbai, Maharashtra, India
I think AI can respond quite reasonable to our prompt provided we are specific, can explain context well, and tone is proper. Better result if we can give good examples as well. By refining the outcome more clarity can be achieved. I have still to travel a long distance to get proper handle on AI.
Thanks
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Elvira Beatriz Real Martinez PROGRAM MANAGER| CISCO Ciudad De Mexico Df, Mexico
To ensure AI results are accurate and aligned with your goals, it's essential to define clear objectives, use precise and contextual prompts, verify outputs with trusted sources, and iterate based on feedback. Critical thinking and ethical awareness also help maintain relevance and reliability.
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Anonymous
Cross referencing resources with what AI produces.
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Walid Mili Paris, France
The key is a 'trust but verify' approach. Always start with a crystal-clear, specific prompt, then critically evaluate the output against your goals and known facts. Iterative prompting - using the AI's response to refine your next question - is essential for zeroing in on truly relevant and accurate results.
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Anonymous
Use the CREATE strategy
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Eze Nwankwo Abuja, FC, Nigeria
I iterate my questions many times over to ensure that the feedback I get align with my desired objectives. I use the CREATE format and provide relevant context and examples to enable the AI system process the response more accurately
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SELORM ATSATSA Accra, Abeka, Ghana
By properly using the right prompt component, the right formula depending on the complexity of the project, avoiding common problems and using the right prompt pattern.
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Salil Chaudhry San Diego, Ca, United States
Be specific with your prompt. iterate your prompts.

Assess the accuracy of the results by comparing it with data collected in the past, use your Project Manager hat.

Bottom line, we both are learning - AI LLM and project manager.
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Sara Rimel Palmetto, FL, United States
Jun 11, 2024 2:25 PM
Replying to Melissa Stockbridge
...
Some of my items may be redundant but the most important things in my experience so far is:

Be precise and clear.
Be sure you explain jargon or specialized terminology
Provide the context for all of your requests
Be sure you provide the outcomes you are expecting
Experiment and refine as you go

I've found breaking down big problems can be better refined by chunking the whole into natural sections and working to refine each section and then working to put them back together.
To ensure that your results are accurate you should keep it simple, input proper prompts, do not use industry specific terms that an AI may not know. After this, you should review the output for accuracy and then refine your prompt for necessary changes.
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Suma Hegde India
in 2011, IBM Watson began helping oncologists by analyzing vast amounts of data to recommend treatment options, and in 2018, Google’s DeepMind AI started assisting in diagnosing eye diseases by analyzing retinal scans with a higher accuracy rate than some clinicians.To ensure AI's effective results in public health and healthcare in day to day life for academicians, students and professionals in their smooth tech journeys: A very simple technique can be implemented that includes-objective, audience/context, expectations, source. Analyse your output and then adjust your evaluations accordingly
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