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Related Questions
- How do large language models handle unknown or unseen words during training?
- What strategies do large language models employ to deal with out-of-vocabulary (OOV) words?
- Can you explain how large language models adapt to new words and concepts that are not present in their training data?
- What techniques are used to handle the cold start problem in large language models, where the model encounters words it has never seen before?
- How do large language models handle the issue of word embeddings for out-of-vocabulary words?
- What is the impact of out-of-vocabulary words on the performance of large language models?
- Are there any methods to fine-tune large language models to improve their performance on out-of-vocabulary words?
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