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Related Questions
- What are the typical symptoms of overfitting in language models, such as high training accuracy and poor generalization?
- How can overfitting lead to poor performance on unseen data, and what are the consequences?
- What are some common metrics to monitor for overfitting, such as validation loss or perplexity?
- How can regularization techniques, like L1 or L2 regularization, help prevent overfitting in large language models?
- What is the role of early stopping in preventing overfitting, and how does it work?
- Can you explain the concept of capacity and how it relates to overfitting in language models?
- How can data augmentation and transfer learning help mitigate overfitting in large language models?
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