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Related Questions
- What strategies do large language models use to handle out-of-vocabulary words?
- How do you differentiate between in-vocabulary and out-of-vocabulary words in NLP pipelines?
- What are some common techniques used to handle out-of-vocabulary words in machine learning models?
- How does the choice of embedding technique affect the handling of out-of-vocabulary words?
- What are the implications of using subword tokenization for handling out-of-vocabulary words?
- Can you explain the difference between out-of-vocabulary and unknown words in the context of NLP?
- How do you handle out-of-vocabulary words in a language model when the training data is limited?
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