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Related Questions
- What is the relationship between the number of attention heads and model capacity?
- How does the choice of attention heads impact model performance on different tasks?
- What is the optimal number of attention heads for a transformer-based model on a large language dataset?
- Can you explain the trade-off between the number of attention heads and model computational complexity?
- How does the number of attention heads affect the model's ability to capture long-range dependencies?
- What is the impact of attention heads on the model's generalization performance on out-of-domain data?
- Can you provide some guidelines for choosing the optimal number of attention heads based on the model architecture and dataset characteristics?
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