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Microsoft Exam AI-900 Topic 2 Question 60 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 60
Topic #: 2
[All AI-900 Questions]

What are three stages in a transformer model? Each correct answer presents a complete solution.

NOTE: Each correct answer is worth one point.

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Suggested Answer: B, C, D

by Wynell at Mar 21, 2024, 11:49 AM

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Gene
10 months ago
You're right, anonymization is not typically a stage in a transformer model, so the correct stages are A, B, and D.
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Jamie
10 months ago
I'm not sure about E) anonymization, I don't think it's one of the stages in a transformer model.
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Casie
11 months ago
Yes, tokenization is essential for splitting the text into smaller units for processing.
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Gene
11 months ago
I also believe C) tokenization is another important stage in a transformer model.
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Brittni
11 months ago
That makes sense, each of those stages play a crucial role in the model's performance.
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Casie
11 months ago
I think the three stages in a transformer model are A) object detection, B) embedding calculation, and D) next token prediction.
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Glory
1 years ago
Ooh, this is a tough one. I was leaning towards A) object detection, but I think Elvis and Douglass are right. Tokenization, embedding calculation, and next token prediction seem to be the key stages. Let's hope we get at least two of those right!
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Douglass
1 years ago
Ha! I'm glad they didn't ask about the 'anonymization' stage. That would have thrown me off completely. I agree with Elvis's answer - those three stages sound like the right ones to me.
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Elvis
1 years ago
I think the correct answers are B) embedding calculation, C) tokenization, and D) next token prediction. These seem to be the core components of a transformer model.
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Malika
1 years ago
Hmm, this question seems a bit tricky. I'm not sure if I can confidently identify the three stages in a transformer model. B) embedding calculation and D) next token prediction sound reasonable, but I'm not sure about the third one.
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Frederica
12 months ago
C) tokenization
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Floyd
12 months ago
D) next token prediction
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Janessa
12 months ago
B) embedding calculation
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