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Related Questions
- How does the number of attention heads impact the model's ability to capture long-range dependencies in sequence data?
- Can increasing the number of attention heads lead to improved performance on tasks that require nuanced understanding of contextual relationships?
- What are the trade-offs between increasing the number of attention heads and increasing the model's computational requirements?
- How does the choice of number of attention heads affect the model's ability to generalize to out-of-distribution data?
- Can you explain the relationship between the number of attention heads and the model's capacity to learn hierarchical representations?
- What are some common pitfalls to avoid when increasing the number of attention heads in a transformer model?
- How does the number of attention heads impact the model's interpretability and explainability?
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