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Microsoft Exam AI-900 Topic 11 Question 41 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 41
Topic #: 11
[All AI-900 Questions]

Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?

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Suggested Answer: A

Classification


Contribute your Thoughts:

Brice
7 days ago
Ooh, I'm going to have to go with C) grounding data on this one. Contextual information is key for AI systems to really understand what they're working with.
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Denise
16 days ago
Grounding data sounds like the right answer to me. I've heard that's an important technique for improving the quality of AI-generated content.
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Luis
1 days ago
Grounding data is crucial for enhancing the quality of AI-generated responses.
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Izetta
27 days ago
I'm not sure, but I think it could also be C) grounding data.
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Germaine
27 days ago
Hmm, I think this is an example of grounding data. Providing relevant information to the model helps it understand the context better and generate more accurate responses.
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Nydia
13 hours ago
System messages might play a role in guiding the model on how to generate responses based on the context provided.
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Kimberely
7 days ago
I think fine-tuning could also be important in this case, as it helps the model adapt to specific tasks or domains.
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Lettie
13 days ago
I agree, grounding data is crucial for improving the quality of responses in generative AI solutions.
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Fletcher
29 days ago
I agree with Delpha, fine-tuning makes sense for improving responses.
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Delpha
29 days ago
I think it's B) fine-tuning.
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