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Related Questions
- How does the number of attention heads in a self-attention mechanism affect the model's ability to capture long-range dependencies?
- Can you provide examples of how increasing the number of attention heads can improve the model's performance on tasks with complex input sequences?
- What is the trade-off between the number of attention heads and the model's computational efficiency?
- How does the number of attention heads impact the model's ability to capture contextual information in sequential data?
- Can you compare the performance of models with different numbers of attention heads on a specific task, such as machine translation?
- How do attention heads with different numbers of attention mechanisms affect the model's ability to attend to relevant information in the input sequence?
- What is the impact of increasing the number of attention heads on the model's ability to handle out-of-vocabulary words?
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