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Related Questions
- What is the impact of increasing the number of attention heads on the model's ability to capture long-range dependencies in a sequence?
- Can you explain how the number of attention heads affects the computational complexity of self-attention mechanisms in terms of time and space complexity?
- How does the number of attention heads influence the trade-off between model capacity and computational cost in self-attention mechanisms?
- What are the implications of using a large number of attention heads on the memory usage and training time of a self-attention model?
- Can you describe the relationship between the number of attention heads and the quality of the representation learned by a self-attention mechanism?
- How does the number of attention heads affect the convergence speed of self-attention models during training?
- What are the optimal number of attention heads for a given sequence length and model architecture, and how is this determined?
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