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?
wael ahmedproject manager| Red Sea Consultantasyut, AST, Egypt
use of CREATE model Saving Changes...
Anonymous
When using AI systems, ensure accuracy and relevance by:
Clearly defining your goals.
Using high-quality, diverse data.
Regularly validating and testing outputs.
Continuously refining prompts and parameters.
Staying updated with AI advancements and best practices. Saving Changes...
To ensure you get the right result from AI, it's important to be clear about what you want, use the right words, and refine your queries until you get the best response It is a good idea to double check with other sources and request references, where possible. Test multiple scenarios, and iterate for improved result. Saving Changes...
That's a very good question. In my response, I am assuming that the question refers to an LLM-based chatbot.
From my experience, the best results are achieved the more context I provide to the LLM. This means providing as much information as possible that describes both the project itself and the project context.
A second very important step is the quality of the request, also known as the prompt for the LLM. This is similar to human communication, where the quality of the question determines the quality of the answer. Therefore, a good prompt strategy is required, for example:
1. Data and context about the project
2. The goal of the request
3. The task that the LLM should fulfill
4. The format in which the output should be delivered.
In subsequent requests, it is possible to build on the context and results of the previous request. It is important that this process takes place within a chat, as otherwise the context is lost.
I love this response. Thanks for sharing such detailed insights Herr Saenger Saving Changes...
I think these best practices are essential for ensuring the responsible and effective use of AI. Validation, human oversight, and continuous iteration are key to avoiding errors and biases. I also find it very relevant to emphasize the importance of staying up to date, as AI evolves rapidly.
In practice, one of the biggest challenges is finding the right balance between trusting AI and applying our own judgment. Often, the first AI-generated response can be useful but needs adjustments or supplementation with other sources.
Saving Changes...
Ciprian DavidDirector IT Project Management| Cocomore AGLinden, Hesse, Germany
using well structured prompts, data examples and being very specific about the output is the way to go Saving Changes...
Ciprian DavidDirector IT Project Management| Cocomore AGLinden, Hesse, Germany
using well structured prompts, data examples and being very specific about the output is the way to go Saving Changes...
Aaron IngramBusiness Applications Manager| Real Capital SolutionsGolden, United States
I find that when trying to get accurate results in repeatable projects, to have a copy of a manually generated output can be really helpful, as it helps you, as the project mgr rather than end user, have insight into what the 'right' answers look like. Saving Changes...
Aaron IngramBusiness Applications Manager| Real Capital SolutionsGolden, United States
I find that when trying to get accurate results in repeatable projects, to have a copy of a manually generated output can be really helpful, as it helps you, as the project mgr rather than end user, have insight into what the 'right' answers look like. Saving Changes...
Aaron IngramBusiness Applications Manager| Real Capital SolutionsGolden, United States
I find that when trying to get accurate results in repeatable projects, to have a copy of a manually generated output can be really helpful, as it helps you, as the project mgr rather than end user, have insight into what the 'right' answers look like. Saving Changes...
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