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Related Questions
- How does pre-training enable machine learning models to generalize to unseen words?
- Can you explain the concept of 'word embeddings' and its relation to pre-training?
- In what ways does pre-training help mitigate the problem of out-of-vocabulary words?
- How does the size of the pre-training dataset impact the model's ability to handle out-of-vocabulary words?
- What are some common techniques used in pre-training to handle out-of-vocabulary words?
- Can you discuss the trade-offs between pre-training and fine-tuning in terms of handling out-of-vocabulary words?
- How does pre-training influence the model's ability to learn word representations and handle out-of-vocabulary words?
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