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Related Questions
- What are the key differences between self-attention and multi-head attention in transformer models?
- How does the number of attention heads in multi-head attention impact model performance and computational requirements?
- Can you explain the concept of attention weights and how they are calculated in multi-head attention?
- How does multi-head attention compare to other attention mechanisms, such as dot-product attention, in terms of model complexity and computational resources?
- What are some strategies for optimizing multi-head attention in large-scale transformer models?
- How does the choice of attention mechanism impact the trade-off between model capacity and training time?
- Can you discuss the relationship between attention mechanism design and the capacity of the model to learn long-range dependencies?
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