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Related Questions
- How does the number of attention heads impact the training time of self-attention models?
- Can you explain the concept of attention head scaling in the context of transformer architecture?
- How does the increase in number of attention heads affect the model's ability to generalize?
- In what ways can a lower number of attention heads result in a decrease in model capacity?
- Can you describe the implications of using a small number of attention heads on model interpretability?
- How does the increase in number of attention heads impact the computational requirements for self-attention models?
- What is the optimal number of attention heads for achieving a good trade-off between model capacity and computational efficiency in practice?
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