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Related Questions
- How do transformer models handle out-of-vocabulary (OOV) words during training?
- What techniques do transformer models use to learn from rare words?
- Can you explain how transformer models adapt to unseen words during training?
- How do transformer models learn to represent rare words in their embedding space?
- What strategies do transformer models employ to mitigate the impact of rare words on their performance?
- Can you discuss the role of subwording in transformer models and its effect on learning from rare words?
- How do transformer models balance the trade-off between learning from rare words and maintaining generalizability to unseen data?
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