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Related Questions
- What are some common techniques for fine-tuning a pre-trained language model on a specific task?
- How can we adapt a model trained on a large corpus of text to perform well on a particular domain or topic?
- What are some strategies for leveraging pre-trained word embeddings to improve the performance of a downstream task?
- Can you explain the concept of domain adaptation and how it relates to transfer learning in the context of NLP?
- How can we select the most suitable pre-trained model for a specific task or domain?
- What are some challenges associated with using transfer learning in NLP and how can they be overcome?
- How can we evaluate the effectiveness of transfer learning for a particular task or domain?
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