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Related Questions
- What are the key benefits of using transfer learning in NLP tasks?
- Can you explain the concept of domain adaptation in transfer learning and its application in language translation?
- How does pre-training a language model on a large corpus of text data enable fine-tuning for specific NLP tasks?
- What are the differences between fine-tuning and training from scratch in the context of transfer learning for NLP tasks?
- Can you discuss the role of word embeddings in transfer learning for text classification and language translation?
- How does transfer learning enable the adaptation of a pre-trained model to a new domain or task with limited labeled data?
- What are some common challenges and limitations of transfer learning in NLP tasks, such as language translation and text classification?
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