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Related Questions
- How do you handle out-of-vocabulary (OOV) words in your language models?
- What techniques do you use to generalize to unseen words or domains?
- How do you update your language model to incorporate new words or concepts that emerge over time?
- Can you explain the concept of 'catastrophic forgetting' in the context of language models and how you mitigate it?
- How do you balance the trade-off between model size, training data, and the ability to generalize to new words or domains?
- What are some strategies for fine-tuning your language model on a specific domain or task to improve its performance on OOV words?
- Can you describe the process of 'domain adaptation' and how it relates to language models handling new or unseen words?
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