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Related Questions
- What are some techniques for reducing the computational cost of entity-based attention in a large language model?
- How can we optimize the memory usage of entity-based attention mechanisms to improve model performance?
- What are some strategies for parallelizing entity-based attention computations to take advantage of multi-core CPUs?
- Can we use knowledge distillation to reduce the computational requirements of entity-based attention in a large language model?
- How can we apply pruning or quantization techniques to reduce the computational cost of entity-based attention?
- What are some methods for reducing the number of parameters required for entity-based attention, such as sparse or low-rank attention?
- Can we use model pruning to remove unnecessary parameters and computations in the entity-based attention mechanism?
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