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Related Questions
- What are some common fine-tuning techniques for pre-trained language models to adapt to new domains?
- How can I leverage domain-specific datasets to improve the performance of a pre-trained language model on out-of-domain tasks?
- What are some strategies for selecting the most relevant pre-trained language model for a specific out-of-domain task?
- Can you explain the concept of few-shot learning and its application in fine-tuning pre-trained language models for out-of-domain tasks?
- How can I use transfer learning to adapt a pre-trained language model to a new domain with limited labeled data?
- What are some techniques for handling out-of-vocabulary words and domain-specific terminology in pre-trained language models?
- How can I evaluate the performance of a fine-tuned pre-trained language model on out-of-domain tasks and identify areas for improvement?
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