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Related Questions
- What are some common evaluation metrics used to measure a large language model's performance on OOD data?
- How can OOD detection methods be integrated into a large language model's architecture?
- What are some techniques for data augmentation that can help improve a large language model's performance on OOD data?
- Can you explain the concept of adversarial training and how it can be used to improve a large language model's robustness to OOD data?
- What are some common types of OOD data that large language models may encounter, and how can they be simulated?
- How can transfer learning be used to adapt a large language model to new, unseen OOD data?
- What are some challenges associated with testing a large language model's performance on OOD data, and how can they be addressed?
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