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Related Questions
- What is the effect of increasing the size of the pre-training dataset on the model's ability to handle out-of-vocabulary words?
- How does the diversity of the pre-training dataset influence the model's capacity to generalize to unseen words?
- Can you explain how the model's ability to handle out-of-vocabulary words changes as the size and diversity of the pre-training dataset increase?
- What are some strategies for pre-training datasets to improve the model's performance on out-of-vocabulary words?
- How does the model's ability to handle out-of-vocabulary words relate to its overall language understanding and generation capabilities?
- What are some potential drawbacks of relying on large pre-training datasets to handle out-of-vocabulary words?
- Can you discuss the trade-offs between increasing the size and diversity of the pre-training dataset and the computational resources required to train the model?
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