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Related Questions
- What are the key differences between entity-based attention and other attention mechanisms in large language models?
- Can you explain how entity-based attention is used in tasks such as question answering and text classification?
- How does entity-based attention adapt to different entity types, such as named entities, events, and relations?
- What are the implications of using entity-based attention for downstream tasks like sentiment analysis and topic modeling?
- Can you provide an example of how entity-based attention is used in a real-world application?
- How does entity-based attention handle out-of-vocabulary words or entities that are not in the training data?
- What are the computational resources required to implement entity-based attention in a large language model?
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