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Related Questions
- How do transformer models handle unknown words not present in their vocabulary?
- Can you explain the subword modeling technique used in transformer models to handle out-of-vocabulary words?
- What is the impact of increasing the vocabulary size on the performance of transformer models?
- How do transformer models decide which subword to split a word into when it is not in the vocabulary?
- What are the trade-offs between using a large vocabulary size and the increased computational resources required?
- Can you describe the process of subword tokenization in transformer models and its effect on out-of-vocabulary words?
- How do transformer models adapt to new words or domain-specific terminology that are not present in their initial vocabulary?
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