How can I improve the performance of my NLP model?
There are several strategies you can use, such as data augmentation, hyperparameter tuning, and using pre-trained models.
What is data augmentation and how does it help?
Data augmentation involves creating new training samples by modifying existing ones, which helps improve model generalization.
Can you explain hyperparameter tuning?
Hyperparameter tuning is the process of optimizing the parameters that govern the training process, which can significantly enhance performance.
What are some popular pre-trained models I can use?
Popular pre-trained models include BERT, GPT, and RoBERTa, which can be fine-tuned for specific tasks.
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