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Related Questions
- What are the key differences between transfer learning and multi-task learning in the context of large language models?
- How do domain adaptation techniques help large language models to generalize across different domains and tasks?
- What are some challenges associated with adapting large language models to unseen domains, and how can they be addressed?
- Can you provide examples of successful applications of transfer learning and multi-task learning in large language models?
- How do the performance metrics of large language models change when adapting to new domains using transfer learning and multi-task learning?
- What role does data augmentation play in improving the performance of large language models in unseen domains?
- How can domain adaptation techniques be used to improve the robustness of large language models to out-of-domain data and adversarial attacks?
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