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Related Questions
- What are the implications of increasing the number of attention heads on the computational complexity of transformer-based models?
- How does the number of attention heads affect the model's ability to capture long-range dependencies in the input data?
- Can you explain the trade-off between the number of attention heads and the model's capacity to handle complex tasks?
- How does the number of attention heads impact the model's interpretability and explainability?
- Can you discuss the impact of reducing the number of attention heads on the model's performance on sequential tasks?
- What are the optimal strategies for selecting the number of attention heads for a given task or dataset?
- How does the number of attention heads affect the model's ability to generalize to out-of-distribution data?
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