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Related Questions
- What are the computational costs associated with implementing entity-based attention in large-scale language models?
- How does entity-based attention impact the training time and memory requirements of large-scale language models?
- Can you explain the trade-offs between entity-based attention and other attention mechanisms in terms of performance and computational efficiency?
- How does entity-based attention handle out-of-vocabulary words and entities in large-scale language models?
- What are the potential issues with entity-based attention in handling long-range dependencies and context?
- Can you discuss the impact of entity-based attention on the interpretability and explainability of large-scale language models?
- What are the challenges in scaling entity-based attention to very large datasets and models, and how can they be addressed?
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