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Related Questions
- What is the purpose of sparse attention in transformer models?
- How does sparse attention reduce the number of parameters compared to other methods?
- What are the advantages of using sparse attention over other attention mechanisms?
- Can you explain the trade-off between model performance and parameter reduction in sparse attention?
- How does sparse attention impact the computational cost of transformer models?
- What are some common applications of sparse attention in natural language processing?
- How does sparse attention compare to other methods for reducing the number of parameters, such as weight pruning or knowledge distillation?
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