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Related Questions
- What is the impact of increasing the number of attention heads on the model's ability to capture long-range dependencies?
- How does the trade-off between model performance and parallelization efficiency change when using a small number of attention heads versus a large number?
- Can you explain the relationship between the number of attention heads and the model's ability to generalize to unseen data?
- What are the computational costs associated with increasing the number of attention heads in a transformer model?
- How does the number of attention heads affect the model's memory usage and scalability?
- What is the effect of using a small number of attention heads on the model's ability to capture complex contextual relationships?
- Can you discuss the trade-offs between model performance, parallelization efficiency, and the number of attention heads in the context of multi-task learning?
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