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Related Questions
- What is the approach used by large language models to handle out-of-vocabulary words in text analysis?
- How do large language models handle words that are not in their training data when encountering ambiguous context?
- What strategies do large language models employ to deal with unknown words in texts with unclear meanings?
- Can large language models learn to infer the meaning of out-of-vocabulary words based on context?
- How do large language models balance the use of word embeddings and out-of-vocabulary word handling in text processing?
- What are the implications of out-of-vocabulary words on the performance of large language models in natural language processing tasks?
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