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Related Questions
- What are the typical considerations for selecting the number of attention heads in a multi-head attention model?
- How does the number of attention heads impact the model's ability to capture long-range dependencies?
- What are the trade-offs between increasing the number of attention heads and model complexity?
- Can you explain the relationship between the number of attention heads and the model's ability to handle multiple tasks?
- What are some common techniques for tuning the number of attention heads during model training?
- How does the number of attention heads affect the model's interpretability and explainability?
- What are some best practices for selecting the number of attention heads based on the dataset and task at hand?
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