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Related Questions
- What are some common techniques used to prevent overfitting in LLMs when fine-tuning for specific tasks?
- How can data augmentation be applied to reduce overfitting in LLMs?
- What is the role of regularization techniques in preventing overfitting in LLMs during fine-tuning?
- Can ensemble methods be used to mitigate overfitting in LLMs, and if so, how?
- What is the impact of early stopping on overfitting in LLMs during fine-tuning?
- How can transfer learning be leveraged to reduce overfitting in LLMs when fine-tuning for specific tasks?
- What are some strategies for using smaller LLMs or pruning to reduce overfitting and improve fine-tuning efficiency?
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