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Related Questions
- What are some common evaluation metrics used to assess the performance of large language models?
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- Can you explain the concept of overfitting and how it affects a model's ability to generalize to unseen data?
- How does the choice of evaluation metrics impact the model's ability to balance between precision and recall in text classification tasks?
- What is the trade-off between precision and recall in the context of named entity recognition?
- How can a model's performance on precision and recall be improved through hyperparameter tuning?
- What is the relationship between precision, recall, and the model's confidence scores in multi-class classification tasks?
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