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Related Questions
- What are the implications of increasing the number of attention heads on model capacity and computational requirements?
- How does the number of attention heads affect the model's ability to capture long-range dependencies in sequences?
- What role does the number of attention heads play in balancing the trade-off between model expressiveness and overfitting?
- Can you explain the relationship between the number of attention heads and the model's ability to learn abstract representations?
- What are the common heuristics for selecting the optimal number of attention heads in self-attention-based models?
- How does the number of attention heads impact the model's ability to generalize to new tasks and domains?
- What are the computational and memory requirements associated with increasing the number of attention heads in self-attention-based models?
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