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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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williams okwudili asu-eze project coordinator| Ejimof Integrated Services Ltd lagos, Nigeria

To ensure that AI systems produce high-quality, reliable outputs that actually serve your business goals, you must treat the interaction as a collaborative loop rather than a "set it and forget it" task.

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Mamoutou Diarra Bamako, BKO, Mali

I will use:

Re-Act to re-evaluate responses while including new information to refine my request and also use the iterative prompt refinement. More requests are specific and clear, more results are great.

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Lynda SOWU lomé, M, Togo

Formulate clear and precise prompts Iis one of the best practice : the more detailed and contextual the question or instruction is, the better the AI can provide an appropriate response.

We can add the fact to iterate in order to have more clarifications.

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Peter Pryputniewicz Sr. Project Manager| Mindgruve Inc. Ca, United States
Use iterative prompt refinement, like the course suggests : ) Provide data and context, a persona if applicable, and be specific about what types of outputs are relevant.
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TITO VARGHESE ZACHARIAH BOERNE, TX, United States
Jun 07, 2024 9:24 AM
Replying to Sergio Luis Conte
...
AI is a broader term. Generative AI is just an ancient model but everything "explode" when Google published the new architecture called transformer in 2017. So, with that said, take into account that generative AI is just "predictive test with steroids" just simplifying the model. With that said, two key points has to be taking into account when somebody works with AI: 1-human in the loop. 2-AI without Data (today called data science discipline or big data or whatever) is the same thing that live without oxygen. Talking about generative AI all related to technology has almost not impact with relation to all related to non-technological roles and activities. What you stated about accuracy and things like that are easy to implement because there are a lot inside disciplines like statistics. Most of them to make things "a priori" to prevent instead of cure. Few organizations taking into account that when generative AI environments are put in place almost a new business unit has to be created where roles like lawyers, linguistic, diversity and inclusion specialist must be hire to help on put it in place.

thanks

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Manas Datta India

Give the AI a specific persona which one would like the AI to behave. Provide specific instructions about what you are looking for. You can even give some hints to AI where all it needs to look if you want specific type of sources and at the end give instructions on in what format or what type of data is required by you. Sometimes, multiple iterations of the results are needed before a result which is expected can be found.

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Laura Smith Program Manager| Fulcrum Gainesville, Va, United States

I believe it's important to ask AI for their sources when they generate information and then double check to ensure accuracy and not hallucinations. Additionally, look for other peer reviewed sources that can further strengthen the argument or counter it if you are trying to show multiple perspectives.

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Keith Ross Project Manager| Wendel LLC Williamsville, Ny, United States

Providing examples of what your expectations are of the output, both for the value of content and the format of the output.

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John Osagie Chief Operations Officer| Anamen Limited Lekki, Lagos, Nigeria

Using AI for some time now, I find the following helpful. Providing a good context for the request, any examples, and a possible structure for the response has worked well for me. I also found that overloading the prompt tasks does not produce good results, so I apply an iterative approach to prompting and gradually build the desired output. It is important not to rely on AI response 100% expecially if you have subject matter expertise. Ensure to refine and correct the AI response; this allows the AI to provide more advanced, refined, and relatively accurate responses with fewer hallucinations.

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John Osagie Chief Operations Officer| Anamen Limited Lekki, Lagos, Nigeria

Using AI for some time now, I find the following helpful. Providing a good context for the request, any examples, and a possible structure for the response has worked well for me. I also found that overloading the prompt tasks does not produce good results, so I apply an iterative approach to prompting and gradually build the desired output. It is important not to rely on AI response 100% expecially if you have subject matter expertise. Ensure to refine and correct the AI response; this allows the AI to provide more advanced, refined, and relatively accurate responses with fewer hallucinations.

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