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Related Questions
- What are some common techniques used to fine-tune pre-trained language models for specific tasks?
- How do domain adaptation techniques help pre-trained models generalize to new domains?
- Can you explain the concept of transfer learning and its role in adapting pre-trained models?
- What are some methods for adapting pre-trained models to handle out-of-distribution data?
- How do techniques like data augmentation and data synthesis help adapt pre-trained models to new domains?
- What is the difference between few-shot learning and few-example learning in the context of adapting pre-trained models?
- Can you discuss the role of meta-learning in adapting pre-trained models to new tasks and domains?
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