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Related Questions
- What are the primary reasons for the performance drop when adapting pre-trained models to out-of-domain data?
- How do out-of-domain data characteristics, such as vocabulary and syntax, impact model performance?
- What are some common techniques used to adapt pre-trained models to out-of-domain data?
- What is the role of fine-tuning in adapting pre-trained models to out-of-domain data?
- How do domain shifts affect the performance of pre-trained models?
- What are some strategies for mitigating the effects of domain drift on pre-trained models?
- Can you explain the concept of catastrophic forgetting in the context of adapting pre-trained models to out-of-domain data?
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