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Topics: Artificial Intelligence
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
Product Leader | AI Training Portfolio| PMI Asheville, NC, USA

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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Christiaan van den Berg Project Management Consultant| Project & Business Consultancy Pty Limited Burlington, Ontario, Canada
Chain of thought is a good approach and ReAct. References should be consulted and personal judgement on own knowledge base and experience.
This remind me of early days with design software where you also needed to assess practicalities and realism of the design solution. You shall have to do the same with AI responses "Visualize the Reality".
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Eka Nasution PM I| Providence Health Care Toronto, Ontario, Canada
- Being clear on the context that we're about to ask (type of company, # of resources, what's the objective).
- Also being very specific on what are the outputs that we're expecting from GenAI.
- I use to use an "altered" template as a document to guide GenAI to provide responses as I expected.
- Make sure that none of conflicting information appears on the prompts
- If AI does not provide expected answers, reread the questions, refine the questions and adjust accordingly
- Last, check with team members and ask feedback from them and stakeholders for verifications.
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Paul Awosokanre Project Manager| Canada Post Ottawa, Ontario, Canada
Some practices for ensuring the results receive while using AI are accurate, relevant, and aligned with the original goals include the following:
- First is to ensure that the questions asked AI are of quality and neither too brief or too wordy.
- The context of the question or request must be properly explained
- The goal that needs to be achieved must be explicit and clear
The task expected of the AI must be clear
- The type of response and the format must be very clear and set early
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Snehal Jibkate Pune, India
Two main steps are 1) use a LLM with ethical and secure way as per company policies, to avoid legal issues, 2) check every output and change according to your need.
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Arnaud Mercier PM IV| Alpega Group Vilvoorde, België, Belgium
Be clear, precise and provide context
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Mahmud Momoh Lab Tech| PepsiCo
When engaging with AI systems, it is crucial to articulate your goals clearly and supply specific inputs that include adequate context to achieve precise and pertinent outcomes. I think it is very important to begin with general inquiries and progressively narrow them down through iterative refinement, employ follow-up questions to enhance clarity in the responses received. This can ensure a better use the systems, and the information receive aligns with the needs and goals of the project.

Then, critically assess the information by cross-referencing it with credible sources while remaining aware of possible biases. Point out inaccuracies or errors to help refine the system's responses, because AI's responses are based on the data it was trained on, which may not cover all scenarios or the most recent events.
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Zimele Cele Director Programmes| PIPP Project Consultant Mandeni, Kzn, South Africa
Use CREATE formula so as the guide, and make sure the data source is accurate, timely and clean.
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Mevwerosuoghene Egbegbadia Elkridge, Md, USA
Using the CREATE formular helps in giving accurate results.
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Arshi Faruqui Technology Strategy Manager| TELUS Edmonton, Alberta, Canada
Refine your prompts and provide specific questions. Iterate your prompts and get the specific and detailed answers.
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JUAN CAMILO HERNANDEZ MAHECHA PM I| Federacion Nacional de Cultivadores de Palma (FEDEPALMA) - Colombia Bogota D.C., Cundinamarca, Colombia
Best practices for ensuring optimal results using artificial intelligence should focus on providing clear guidelines with sufficient information and context regarding the desired outcomes. Additionally, including examples and supplementary information in the prompts allows AI to respond in a more specialized manner.
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