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Related Questions
- Does self-attention allow multiple positions in a sequence to be processed simultaneously?
- How does self-attention reduce the need for sequential computation compared to convolutional neural networks?
- What impact does self-attention's parallelizability have on the batch size and gradient computation steps?
- Can self-attention reduce the effective number of model parameters during training?
- Are there any theoretical or computational limits to parallelizing attention mechanisms?
- Would parallelizing attention mechanisms via self-attention lead to a reduction in training latency?
- Does reducing the computational cost of each attention head reduce the effect of diminishing returns in parameter count?
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