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Transfer Learning for NLP

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Multiple Choice

What is the primary objective of Transfer Learning in NLP?

  1. To improve the performance of NLP models on new tasks with limited data.
  2. To reduce the computational cost of training NLP models.
  3. To enhance the interpretability of NLP models.
  4. To automate the process of feature engineering for NLP tasks.
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