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Related Questions
- What is the primary goal of pre-training in transfer learning for NLP tasks?
- How does fine-tuning a pre-trained model on a specific task improve its performance?
- What is the difference between pre-training and fine-tuning in the context of NLP?
- How does the pre-trained model handle out-of-vocabulary words during fine-tuning?
- Can you explain the concept of 'transfer learning' in NLP and how it relates to pre-training and fine-tuning?
- What are some common techniques used to handle out-of-vocabulary words in NLP tasks?
- How does the choice of pre-training task and fine-tuning task impact the performance of the model on out-of-vocabulary words?
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