Attention allows a model to directly reference any position in the input sequence when processing each output token regardless of distance. RNNs process sequentially and lose information about distant tokens. Attention solved this and enabled parallelization of training.
What is attention mechanism and why did it replace RNNs for sequence modeling?
Attention allows a model to directly reference any position in the input sequence when processing each output token regardless of distance. RNNs process sequentially and lose information about distant tokens.…
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What is attention mechanism and why did it replace RNNs for sequence modeling?
COVER // WHAT IS ATTENTION MECHANISM AND WHY DID IT REPLACE RNNS FOR SEQUENCE MODELING?
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