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How do attention mechanisms solve the bottleneck problem in sequence - to - sequence models? Group of answer choices They increase the vocabulary size of

How do attention mechanisms solve the bottleneck problem in sequence-to-sequence models?
Group of answer choices
They increase the vocabulary size of the decoder softmax
They incorporate all of the encoder hidden states into the decoder softmax prediction at every time step of the decoder
They add interpretability to the model by allowing users to inspect probabilistic alignments
They dynamically increase the size of the hidden layers in the encoder depending onthetimestep.

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