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Related Questions
- What are the consequences of data bias and how can it be mitigated in the annotation process?
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- What are the common sources of noise in training data and how can they be identified and corrected?
- How can you balance the need for large datasets with the need for high-quality annotations?
- What are the best practices for annotating text data versus image data?
- How can you verify the accuracy of annotations and ensure that they are consistent across annotators?
- What are the potential consequences of overfitting to the training data and how can it be prevented?
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