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Related Questions
- What is the typical memory footprint of a large language model that uses entity-based attention mechanism?
- How does the entity-based attention mechanism affect the computational complexity of a large language model?
- Can you explain the trade-off between model size and computational resources when implementing entity-based attention in a large language model?
- What are some strategies to optimize the computational resources required for entity-based attention in a large language model?
- How does the choice of attention mechanism (e.g., dot-product, scaled dot-product) impact the computational resources required for entity-based attention?
- Can you discuss the impact of entity-based attention on the training time and batch size of a large language model?
- What are some techniques to reduce the computational resources required for entity-based attention in a large language model without compromising its performance?
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