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Related Questions
- How do transformer models handle out-of-vocabulary words?
- What techniques do transformer models use to adapt to new or rare words in text data?
- Can you explain the concept of subwording in transformer models and how it helps with rare words?
- How do transformer models learn to represent rare words when they are not seen during training?
- What is the role of the embedding layer in transformer models when it comes to adapting to new or rare words?
- How do transformer models balance the need to represent rare words with the need to maintain model efficiency?
- Can you discuss the impact of rare words on transformer model performance and how to mitigate it?
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