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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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Subject knowledge is must to avoid distraction from core requirement. AI responses require refinement by providing Specific context based questions to eliminate halucination. AI should be considered as tool not a solution.

Give context, background and examples about your question and expected result. Also try proceeding step by step and validate each set of result and proceed further.

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Stella Akuffo Accra, AA, Ghana

Just like a lot of professionals have stated, prompts should be very detailed and clear. As much as possible, the prompts you feed the AI generative tool should be devoid of vagueness and ambiguity. If results still do not meet expectations, refine the prompts and do so continuously till you receive accurate and relevant results.

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Sanjeev Kumar Jaiswal Project Management| None Rewa, MP, India

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Shehryar Khan Digital Transformation | AI Specialist | PMP| Prozaro Solutions Berlin, Berlin, Germany
Provide it with good guardrails - incl. what it shouldn't do. Also provide templates/examples that show the desired outputs/format etc.
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Anonymous
AI engineering prompts and outputs should be reviewed by discipline specific stakeholders i.e. finance, technical, planning, risk etc to ensure alignment with the projects goals and objectives.
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Anonymous

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Anonymous

To get consistently useful results from AI systems, it helps to treat them less like a search engine and more like a collaborator that needs clear instructions, verification, and feedback.

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Chetan T India

Define clear objectives and provide precise, context-rich prompts to ensure AI outputs are relevant and aligned with your goals. Always validate AI-generated results through human review, fact-checking, and iterative refinement to maintain accuracy, reliability, and business relevance.

Jul 11, 2024 7:47 PM
Replying to INDUMATHI KANNAYIRAM
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