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?
Like with any new tool, you need to test the results before you scale up.
Think about if you were to manually model a very complex problem in a spreadsheet. You don't build all the links and formulas first and then evaluate your final output. You build and test sections of the bigger solution first and then add on layers once you have validated the functionality.
Agree - no one wants to fail at the last hurdle! Saving Changes...
Anonymous
span style="background-color: rgb(255, 255, 255); color: rgb(10, 19, 23);"To ensure AI-generated results are accurate, relevant, and aligned with your goals, always craft clear and specific prompts that include sufficient context and desired output format, set boundaries and constraints to keep responses focused, and use structured prompt frameworks to organize your requests. Iteratively refine your prompts based on feedback, validate outputs for accuracy, and encourage the AI to explain its reasoning or ask clarifying questions when needed. /span
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Darrick JonesManager, Business System| Kaplan North AmericaSouderton, Pa, United States
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.
An educated consumer is still the best customer. I have found that when refining prompts and referencing prior conversational information, AI has outstanding recall and the ability to helpfully match relationships between the information both input and output. I think a terrible misuse of AI is to underestimate its capabilities to provide insights.
Defining the desired outcome early helps AI achieve effective results efficiently.Clear objectives guide AI systems toward accurate and timely solutions. Saving Changes...
When using AI systems, it is important to clearly define your objective, provide sufficient context, and review outputs critically. Always verify the information against trusted sources, especially for technical or sensitive topics. Iteratively refine your prompts if the initial results are not aligned with your goals, and ensure that the final output is consistent with your requirements before acting on it.
A very good question and also difficult to answer as well. However you have to go to the basics and say as far as you are concerned, how well are you versed with the subject at hand ?. There are facts which the AI will generate and if you can verify these facts the more reliable the generated response will be. The fewer the facts then it means that the Generative AI response is far from meeting your original goals. Then it becomes very critical that you review the accuracy , relevancy and the alignment of the response to your original need. Unfortunately there are no clearly defined metrics that one can use a model to evaluate an AI generated response. So from my personal experience I basically restrict AI to an area where i have sound knowledge of , else it becomes almost impossible to verify details generated by an AI if you venture into unchartered territory. However with long usage and exposure your confidence also tend to increase as well. The best practice and protocol to follow would be to consult subject matter expects to validate the AI generated response before making critical decisions based on it to avoid any inherent associated risks which you might be not aware of.
De acuerdo, si no se cuenta con un experto en el tema es muy complicado validar los resultados y no se puede asumir que la IA es el experto Saving Changes...
Context is everything; give the relevant information to receive an answer that aligns with what is required, be specific and detailed, define what is not wanted, and readjust with each answer.
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