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Related Questions
- How does data augmentation improve Llama's ability to generalize to new tasks?
- What are some common techniques used for data augmentation in Llama, such as image rotation or flipping?
- Can data augmentation be used to balance the class distribution in the training data?
- How does data augmentation affect the training time and computational resources required for Llama?
- Can you provide examples of data augmentation techniques used in natural language processing tasks?
- How does data augmentation interact with other techniques, such as transfer learning and prompt engineering, to enhance Llama's performance?
- What are some challenges and limitations of using data augmentation in Llama, and how can they be addressed?
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