Attention Mechanism in Seq2Seq

Medium

neural-networks Google Meta ByteDance

Multiple Choice

The fixed-size context vector creates an information bottleneck that loses detail from long input sequences The decoder cannot generate outputs longer than the input sequence The encoder processes tokens left-to-right only, ignoring right-to-left context The encoder and decoder cannot share vocabulary embeddings

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