Core Components of a Transformer Decoding Network

Masked Self-Attention in Transformer Decoders

A standard Transformer decoder block contains two distinct attention sub-layers. Which statement accurately differentiates the roles and data sources for these two sub-layers?

Within a single decoder block of a standard Transformer architecture, information is processed through three main computational sub-layers. Arrange these sub-layers in the correct operational sequence.

In the Transformer decoder's encoder-decoder attention layer, what is the decoder query compared with?

What is the defining rule of the masked self-attention layer in the Transformer decoder?