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Related Questions
- What factors influence the model's performance when encountering novel words it was not trained on?
- How does the size of the training data affect the model's capacity to learn from few examples?
- What strategies can be employed to improve a pre-trained model's ability to handle out-of-vocabulary words?
- Can larger training datasets lead to overfitting in pre-trained models?
- What is the relationship between the size of the training data and the model's ability to generalize?
- How does the size of the training data impact the model's ability to adapt to new domains?
- What techniques can be used to fine-tune pre-trained models for out-of-vocabulary words?
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