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Related Questions
- How does the number of attention heads affect the computational complexity of transformer models?
- Can increasing the number of attention heads improve the accuracy of transformer models?
- What are the trade-offs between increasing the number of attention heads and model parallelization?
- How does the number of attention heads impact the training time of transformer-based language models?
- Can reducing the number of attention heads lead to better performance on certain types of tasks?
- What are some strategies for efficiently parallelizing transformer models with a large number of attention heads?
- How does the number of attention heads affect the model's capacity to handle long-range dependencies in sequences?
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