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Related Questions
- What is the impact of increasing the number of attention heads on the performance of transformer models in tasks such as machine translation and text classification?
- How does the number of attention heads influence the representational power of transformer models in capturing long-range dependencies in sequential data?
- Can you explain the relationship between the number of attention heads and the computational cost of training transformer models?
- How does the choice of number of attention heads affect the generalization performance of transformer models to out-of-distribution data?
- What are some common techniques used to visualize and interpret the attention weights of transformer models with multiple attention heads?
- How does the number of attention heads impact the explainability of transformer models in tasks such as text summarization and sentiment analysis?
- Can you discuss the trade-off between the number of attention heads and the model's capacity to learn hierarchical representations of input data in transformer models?
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