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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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Ahsan Hamid Pakistan
Nice
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Akram Babiker none Jeddah, 2, Saudi Arabia

ensuring accuracy, relevance, and goal alignment when using AI tools isn’t automatic. It requires intentional prompting and validation.



Here are 8 best practices:
1. Start with a Clear, Specific Prompt
2. Use Role-Based Prompting
3. Chain-of-Thought Prompting
4.Dynamic Context Injection
5. Ask the AI to Self-Check
6.Don’t Accept the First Response Blindly
7.Cross-Check with Reliable Sources
8.Use Structured Prompts for Consistency
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Anonymous
1) Engage in a conversation with the Ai System.
2) React to the response and provide a feedback.
3) Avoid asking multiple questions at once.
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Jesse Pickrell Santa Rosa, CA, United States
When ensuring accurate results with AI, it is imperative to understand what it is you are really wanting. By establishing this upfront and early, it is easier to display better clarity in your question for AI to understand. You need to ensure that your question being asked is detailed and covers all facets of what is needed from AI. AI can work for you or against you. It is up to the user to ensure this doesn’t happen by using the tools correctly. Great question.
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Victoria Aboagye Tema, AA, Ghana
To ensure more accurate, relevant information, it is important to validate the output that AI generates. One may have to deploy automation systems, refine and augment your question with current data/information, use conditioned controlled experiment, add your context and promote regular feedback and use the CREATE formula which tends to adjust and it is more adaptable.
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VASILEIOS KARAFERIS Acharnai, Greece
To ensure AI-generated results are accurate and aligned with your goals, clearly define your prompts and iteratively refine them based on output. Always cross-check critical information and use AI as a collaborator—not a sole decision-maker.
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Anonymous
Jun 11, 2024 11:22 AM
Replying to Omar Jabbar
...
I don't disagree with the answers above, but I keep it very simple. Make sure your data is clean, ask specific questions, and review the outcome. All of this will depend on the AI tools you are using and your needs for using them. Once you have this figured out, you will be good to go.
Continuing review and improvement are essential in this case.
I hope that helps.
Regards,
Couldn't agree more --- Continuous review is key!
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Anonymous
Define specific objectives by starting with a well defined prompt that includes the character, the request and as many examples as possible. Be specific about the output you want, make adjustments as you go and ask that it cite its sources.
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Jeffrey Liptrap Salem, Nh, United States

Some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals is based on:



Providing the AI with the persona that you want it to emulate (i.e. answer as an experienced project manager ...)
Provide precise instructions on what you are looking
Provide examples of what you want the output to look like

Once you get your answer, now is the time to refine and make adjustment instructions so that the output is what you are looking for
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Vijaykumar Gupta Chief Manager| ICICI Bank Mumbai, Maharashtra, India
While designing a prompt it should be specific to the details we required. We should be able provide some output example with relevant output structure and format required.
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