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Huawei H13-321_V2.5 Exam Syllabus Topics:

Huawei HCIP-AI-EI Developer V2.5 Sample Questions:

1. Seq2Seq is a model that translates one sequence into another sequence, essentially consisting of two recurrent neural networks (RNNs), one is the Encoder, and the other is the ---------. (Fill in the blank.)

2. -------- is a text representation method based on the bag of words (BoW) model. It decomposes words into subwords and then adds the vector representations of the subwords to obtain word vectors, fully utilizing character N-gram information. (Fill in the blank.)

3. Which of the following are the impacts of the development of large models?

A) Model pre-training costs will be reduced
B) Large models will completely replace small and domain-specific models
C) The accuracy and efficiency of natural language processing tasks will improve
D) Data privacy and security issues will be exacerbated

4. 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.

A) FALSE
B) TRUE

5. The mAP evaluation metric in object detection combines accuracy and recall.

A) FALSE
B) TRUE

Solutions: