Director, Learning Design & Development| PMIAsheville, 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?
ANDREA LIVINGSTON-PRINCEChief Project Manager | Business Works LimitedKingston, No Selection, Jamaica
Jun 08, 2024 11:44 AM
Replying to Giorgos Sioutzos
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Providing the specific context in clear and consise way is essential.
I agree and the perspective of the report audience is also fundamental Saving Changes...
MARK FitzgeraldProject Management, Business Development| Salt & Light Sales AgencyOceanside, CA, United States
Ethical and company/market segment requirements and regulations should be considered to ensure both compliance and consideration for those who are working on the project and those who will be impacted by the output. Consider building codes, safety factors, those with disabilities and future user influences. Being both ethical and within compliance will create a healthy project that brings further enjoyment and fulfillment in the future. Saving Changes...
First of all, before interacting with AI tools I make sure I am familiar with my organizations’ policies related to ethical compliance, data privacy and cybersecurity. After that, I normally request AIs to provide references for the information generated and validate its results either personally or with colleagues in my organization who are knowledgeable on the matter. Saving Changes...
Anonymous
Review the results using your best ethical, logical, mathematical and any other dimension, training to verify that they are aligned with your goals. Saving Changes...
Anonymous
Establish precise goals and prompts to guarantee AI outcomes are precise and in line with objectives. Verify outputs frequently against established benchmarks or standards, and adjust prompts in response to comments. In initiatives that are always changing, ongoing monitoring helps to preserve quality and relevance. Saving Changes...
It is really important that you know what you are working with and where you want to go. Tools and resources that you have, and how you expect to implement that. Otherwise, again, whatever result AI provides you, if you don't know where you want to go, any result will be sufficient to you. Saving Changes...
the most important things in my experience so far is:
1. Clearly define goals, scopes and objectives:
2. Interactive Prompt Refinement/React
3. Validate deviation
4. Monitor and refine continuously Saving Changes...
Alejandro AzconaProject Director| GradiantBoise, ID, United States
To test the results you receive are accurate, relevant, and aligned with your original goals, I would suggest starting from small and verifying, and move on further. By doing so gradually, the final result will be, if the process has been managed well, will be more precise and accurate, closer to the statblished goals. Saving Changes...
Ensuring the accuracy and relevance of AI outputs starts with setting a clear foundation. Begin by defining specific goals and parameters for what you want to achieve, as this clarity guides the AI system to focus on the right data and generate more precise results.
A crucial best practice is to implement robust testing and validation protocols. Regularly evaluate the AI's outputs against established benchmarks and real-world scenarios to ensure consistency. It’s also essential to involve human oversight, especially for critical decisions, to catch any potential biases or inaccuracies that the system might produce.
Finally, maintaining a cycle of continuous learning and adjustment is key. AI systems benefit from regular feedback, so refine your inputs, update datasets, and adjust parameters based on performence over time. This way, you can align the AI’s behavior more closely with your evolving goals. Saving Changes...
Providing specific, detailed instructions & context, asking for citations/references, and continuously refining my prompts based on the LLMs output. Saving Changes...
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