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Related Questions
- What is the process of subword tokenization in LLMs and how does it help with unseen words?
- How do LLMs learn to generalize to unseen words during training using masked language modeling and other techniques?
- What is the role of the embedding layer in LLMs and how does it contribute to adapting to unseen words?
- Can you explain the concept of 'out-of-vocabulary' (OOV) words in LLMs and how they are handled during deployment?
- How do LLMs use contextual information to disambiguate words with multiple meanings and adapt to unseen words?
- What is the impact of the training dataset size and quality on an LLM's ability to adapt to unseen words?
- How do LLMs use transfer learning to adapt to new domains and unseen words during deployment?
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