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?
We must be specific about the role of AI and provide more details and context to get precise response. Saving Changes...
Anonymous
We need to align it with strategic goals Saving Changes...
Anonymous
Give specific inputs, context and refine the output with more constraints and details. Saving Changes...
Gregorio BulnesProgram Manager Director México| Airbus Defence & SpaceMexico, Mexico
In my criteria, I think we need to do very sepecific with the request, situational project, scope & business situation, position, also clear and clean context about the project. Then we must be iterative ina conversational process in order to get the best deal about the request Saving Changes...
Holly PetermanSenior Program Manager| Penn FosterNew Brighton, Pa, United States
You can improve the quality of responses by utilizing prompt formulas and advanced prompt patterns. As others have mentioned, it is a lot of trial and error and focusing on an iterative approach. Being very clear and concise and providing relevant data is also extremely helpful. Saving Changes...
We must ask them to act as a specialist in the subject or technology we are analyzing.
The information must also provide clear, which describes a clear context and environment of the situation we are in and the information we want to obtain. Saving Changes...
Hi everyone,
we have to consider that we are moving in a globalized environment, and therefore any data must be verified and validated, but that is not enough, we have to interpret whether they are valid in a period of time and in our environment.
A war in Ukraine caused a general rise in cereal prices throughout the world, therefore the scenario in which we were moving has changed and probably the data generated by AI before the war is no longer valid.
Possibly the initial objectives are no longer feasible, therefore, it is imperative to verify and validate the results and see if they are aligned with our objectives. Saving Changes...
AI is a broader term. Generative AI is just an ancient model but everything "explode" when Google published the new architecture called transformer in 2017. So, with that said, take into account that generative AI is just "predictive test with steroids" just simplifying the model. With that said, two key points has to be taking into account when somebody works with AI: 1-human in the loop. 2-AI without Data (today called data science discipline or big data or whatever) is the same thing that live without oxygen. Talking about generative AI all related to technology has almost not impact with relation to all related to non-technological roles and activities. What you stated about accuracy and things like that are easy to implement because there are a lot inside disciplines like statistics. Most of them to make things "a priori" to prevent instead of cure. Few organizations taking into account that when generative AI environments are put in place almost a new business unit has to be created where roles like lawyers, linguistic, diversity and inclusion specialist must be hire to help on put it in place.
Very good analogy Sergio
"AI without Data (today called data science discipline or big data or whatever) is the same thing that live without oxygen."
We need to ensure that the prompt we enter covers a problem statement, data related to problem statement, example linked to problem statement, impact of this problem & then solution of this problem.
With this format the prompt accuracy will increase multifold. Saving Changes...
I have no extensive experience with LLs and Gen AI, but the key is to understand how to ask for in a right way to the system, be sure to be clear, acurate, indicating the exected result, be critical and give feedback to the AI to improve the answer.
For sure only the intensive use of this will help to raise a good level of interaction with better result. Saving Changes...
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