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Related Questions
- What are some common data augmentation techniques used to improve the robustness of large language models?
- Can you explain the concept of active learning and how it can be applied to fine-tune large language models for specific tasks?
- How do data augmentation and active learning methods impact the generalization of large language models to out-of-distribution data?
- What are some strategies for selecting the most informative samples for active learning in the context of large language models?
- In what ways can multimodal data augmentation be used to improve the performance of large language models on tasks requiring multiple data types?
- Can you discuss the role of human-in-the-loop approaches in improving the performance of large language models through feedback mechanisms?
- How do the benefits of data augmentation and active learning methods compare to traditional machine learning methods for large language models?
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