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Related Questions
- What is the purpose of using multiple attention heads in a transformer model?
- How does the number of attention heads impact the model's ability to capture long-range dependencies?
- Can you explain the trade-off between increasing the number of attention heads and increasing the model's computational complexity?
- How does the number of attention heads affect the model's ability to generalize to out-of-distribution data?
- What is the optimal number of attention heads for a given task or dataset?
- Can you discuss the relationship between the number of attention heads and the model's capacity to learn complex relationships between input elements?
- How does the number of attention heads impact the model's interpretability and explainability?
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