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Related Questions
- How does the number of attention heads affect the contextual understanding of the model?
- Can increasing the number of attention heads improve the model's ability to capture long-range dependencies?
- What is the optimal number of attention heads for a given dataset, and how is it typically determined?
- Does the number of attention heads impact the model's parameter efficiency and computational requirements?
- How does the number of attention heads interact with the embedding size and hidden state size in determining model performance?
- What are the trade-offs between increasing the number of attention heads and other hyperparameters, such as learning rate and batch size?
- Can the number of attention heads be adapted to different tasks or domains to improve model performance?
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