H13-321_V2.5 試験問題を無料オンラインアクセス

Which of the following statements about the functions of layer normalization and residual connection in the Transformer is true?

• A.Residual connections and layer normalization help prevent vanishing gradients and exploding gradients in deep networks.
• B.Layer normalization accelerates model convergence and does not affect model stability.
• C.Residual connections primarily add depth to the model but do not aid in gradient propagation.
• D.In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.

Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?

• A.WAV
• B.MP3
• C.PCM
• D.AAC

The objective of -------- is to extract and classify named entities in a text into pre-defined classes such as names, organizations, locations, time expressions, monetary values, and percentages. (Enter the abbreviation.)

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.)

The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.

• A.FALSE
• B.TRUE