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Related Questions
- How does the number of attention heads affect the model's ability to capture contextual information in a transformer model?
- Can you explain the trade-off between increasing the number of attention heads and the model's computational complexity?
- How does the number of attention heads impact the model's capacity to learn long-range dependencies in a sequence?
- What happens when the number of attention heads is too low in a transformer model, and how does it affect performance?
- Can you provide an example of how increasing the number of attention heads can improve a transformer model's performance on a specific task?
- How does the number of attention heads relate to the model's ability to capture parallelism in a sequence, and what are the implications for performance?
- Can you discuss the relationship between the number of attention heads and the model's capacity to learn abstract representations of data?
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