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Related Questions
- What are the primary challenges associated with scaling entity-based attention mechanisms in large-scale language models?
- How do the computational costs of entity-based attention impact the training and inference of large language models?
- Can you elaborate on the trade-offs between entity-based attention and other attention mechanisms, such as dot-product attention?
- How do entity-based attention mechanisms handle out-of-vocabulary entities and rare words in large-scale language models?
- What are some strategies for optimizing entity-based attention mechanisms for efficient training and inference in large-scale language models?
- Can you discuss the impact of entity-based attention on the interpretability and explainability of large-scale language models?
- How do entity-based attention mechanisms interact with other components of large-scale language models, such as position embeddings and word embeddings?
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