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Related Questions
- What is the optimal number of attention heads for a given model capacity and memory constraint?
- How does the number of attention heads impact the model's ability to capture long-range dependencies in the input sequence?
- Can you explain the relationship between model capacity, memory usage, and the number of attention heads in self-attention?
- How does the choice of number of attention heads affect the model's performance on tasks with varying levels of contextual dependencies?
- What are the trade-offs between increasing the number of attention heads and increasing the model's capacity or memory usage?
- Can you provide examples of how different numbers of attention heads affect the model's performance on specific tasks or datasets?
- How does the number of attention heads impact the model's ability to generalize to new, unseen data?
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