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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:

Loreen
1 months ago
Grounding data, eh? Sounds like a fancy way of saying 'feeding the AI a bunch of relevant information so it doesn't make a complete fool of itself.'
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Iraida
2 days ago
Exactly, it helps the AI make more accurate and relevant responses.
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Elouise
17 days ago
Yeah, it's all about giving the AI some solid background to work with.
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Crista
1 months ago
Grounding data FTW! I mean, who wants an AI assistant that's just spitting out random nonsense without any real understanding of the task at hand?
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Shawna
10 days ago
C) grounding data
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Vivan
18 days ago
B) fine-tuning
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Georgeanna
19 days ago
A) providing examples
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Brice
2 months 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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Brandon
10 days ago
Fine-tuning the model can also make a big difference in the quality of the AI's output.
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Keshia
24 days ago
I think providing examples could also be helpful in improving the AI's responses.
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Lemuel
1 months ago
I agree, grounding data is essential for AI to make accurate predictions.
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Denise
2 months 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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Providing examples is also important for prompt engineering, as it helps the AI learn from specific instances to improve its responses.
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Cherry
3 days ago
I agree, grounding data is crucial for training AI models to understand the context of the information they are generating.
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Freeman
5 days ago
Grounding data is indeed the correct answer. It helps provide context for the AI to generate more accurate responses.
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Craig
17 days ago
System messages can play a role in guiding the AI solution to generate more accurate content.
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Belen
24 days ago
Fine-tuning the model based on specific data can also lead to better quality responses.
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Germaine
1 months ago
I agree, providing examples can also help improve the responses of a generative AI solution.
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Luis
1 months ago
Grounding data is crucial for enhancing the quality of AI-generated responses.
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Izetta
2 months ago
I'm not sure, but I think it could also be C) grounding data.
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Germaine
2 months 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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Kizzy
1 months ago
Providing examples can also be helpful for the model to learn how to generate responses in different scenarios.
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Nydia
1 months 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
2 months 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
2 months ago
I agree, grounding data is crucial for improving the quality of responses in generative AI solutions.
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Fletcher
2 months ago
I agree with Delpha, fine-tuning makes sense for improving responses.
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Delpha
2 months ago
I think it's B) fine-tuning.
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