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Related Questions
- What are the implications of increasing the number of attention heads on model capacity and training time?
- How does the number of attention heads impact the model's ability to capture long-range dependencies in the input sequence?
- Can you explain the relationship between model complexity and the number of attention heads in the context of transformer architectures?
- What are some strategies for reducing the number of attention heads while maintaining optimal performance?
- How does the choice of attention head size impact the model's ability to capture local and global context?
- Can you discuss the trade-offs between model complexity, attention head number, and training time?
- What are some techniques for dynamically adjusting the number of attention heads based on the input sequence characteristics?
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