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The use of attention mechanisms allows the model to focus on relevant parts of the input sequence.
They rely solely on recurrent neural networks for processing sequences.
The models only use linear transformations in their architecture.
They are primarily designed for fixed-length input sequences.
Understanding the Answer
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Attention lets the model look at the right part of the input while it writes each output word. Other options are incorrect because Many think only recurrent neural networks (RNNs) are used; Some believe the models use only straight‑line math.
Key Concepts
Sequence Transduction Models
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Definition
Sequence transduction models are based on complex neural networks that encode and decode sequences. These models aim to translate input sequences into output sequences and have seen advancements in performance and efficiency.
Topic Definition
Sequence transduction models are based on complex neural networks that encode and decode sequences. These models aim to translate input sequences into output sequences and have seen advancements in performance and efficiency.
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