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Related Questions
- What is the relationship between the number of attention heads and the computational cost of self-attention in terms of memory usage?
- How does the number of attention heads affect the memory requirements for storing attention weights in self-attention mechanisms?
- What is the impact of increasing the number of attention heads on the memory usage of self-attention in transformer models?
- Can you explain how the number of attention heads influences the memory complexity of self-attention in terms of the quadratic dependence on sequence length?
- How does the trade-off between increased model capacity and higher memory usage affect the choice of the number of attention heads in self-attention?
- What are the implications of reducing the number of attention heads on the memory usage and computational efficiency of self-attention in transformer models?
- How does the number of attention heads impact the memory requirements for computing attention weights in self-attention mechanisms, particularly for long-range dependencies?
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