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?
Be very specific and clear. AI may not get it right the first time. Careful refinement and feedback for the responses will help AI get aligned to the desired output. Saving Changes...
Ashwini ApteSan Francisco Bay Area, California, United States
In my experience using AI systems, some of the best practices to ensure the accuracy, relevance and alignment to goals can be achieved by:
1. Crafting the prompt with techniques such as Chain-of-Thought, ReAct, Persona nd similar techniques that provides the AI system good context, data and flow of information to retrieve the results.
2. Clean and well-labeled data to process
3. Infrastructure good enough to perform deterministic probablity on the data stored and run the prompts effectively through the LLMs. Saving Changes...
By being precise, using the CREATE framework and using iterative methodologies, GenAI will give more accurate and relevant results Saving Changes...
Dinesh SabnaniCo-Founder, COO, Trainer| LEADUP Management Training InstituteHyderabad, Telangana, India
In my experience, when using Gen AI system, to get accurate answers is to double confirm the answer by asking questions in 2-3 layers. The first response from Gen AI tool is may not be the one that you exactly looking for. Saving Changes...
Daniel ChapmanSenior Business Systems Analyst| The ZebraAustin, Tx, United States
Creating automated validation testing to be discussed with other SMEs. Saving Changes...
WAQAR AHMAD VICKYQuality Assurance & Control Specialist| Aguas de ValenciaDoha, Qatar
The one who is shy to ask questions will be deprived of knowledge. Indeed, asking questions is half of gaining knowledge.
Iterate as many times as you can to clarify doubts, gain new insights, and explore diverse perspectives, including those offered by AI on various subjects. Saving Changes...
When using AI systems, it's crucial to ensure that the results are accurate, relevant, and aligned with your original goals by following several best practices. Start by clearly defining your objectives and the specific questions you need answered, as this guides the AI in generating more targeted outputs. Always validate the results by cross-referencing with reliable sources or expert opinions to confirm accuracy. Provide context-specific input and refine your queries if initial results are off-target. Additionally, remain aware of potential biases in AI models and critically evaluate the outputs to ensure they align with your intended purpose and ethical considerations. Regularly updating and fine-tuning the AI model with current data can also improve its relevance and reliability over time. Saving Changes...
When using AI for queries, we should make clear and objective questions, focused on the specifications and needs of the search. Therefore, a good practice for resolving doubts would be to ask direct questions, while for understanding different viewpoints or new considerations, we should ask more open-ended questions. Saving Changes...
Anonymous
we need to be precise and clear and not to use jargon or any other terminology and give full context for all of our requests and also set the expectation and refine your prompts. Saving Changes...
"The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man."
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