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H13-321_V2.5 Exam Dumps : HCIP - AI EI Developer V2.5 Exam

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HCIP - AI EI Developer V2.5 Exam Questions and Answers

Question 1

In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.

Options:

A.

TRUE

B.

FALSE

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Question 2

If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.shape[:2] can be used to obtain the image size.

Options:

A.

TRUE

B.

FALSE

Question 3

Which of the following statements about the multi-head attention mechanism of the Transformer are true?

Options:

A.

The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.

B.

The multi-head attention mechanism captures information about different subspaces within a sequence.

C.

Each header's query, key, and value undergo a shared linear transformation to obtain them.

D.

The concatenated output is fed directly into the multi-headed attention mechanism.