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Related Questions
- What is the purpose of increasing the number of attention heads in a transformer-based model?
- How does increasing the number of attention heads affect the model's capacity to handle contextual dependencies?
- Does a larger number of attention heads always lead to a longer training time?
- Can you describe the relationship between the number of attention heads and model interpretability?
- In what scenarios is a high number of attention heads more beneficial than a lower one?
- Are there any potential drawbacks or considerations when increasing the number of attention heads?
- Can you provide some strategies for tuning the number of attention heads for a given problem domain?
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