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Related Questions
- Can a pre-trained model's performance be improved by fine-tuning it on a diverse dataset?
- How does the lack of representation in training data impact the model's ability to generalize to diverse populations?
- What are some strategies to address the bias and underrepresentation in pre-trained models?
- Can a model's performance on a diverse dataset be improved by using transfer learning with a pre-trained model?
- What are the consequences of using a pre-trained model on a dataset that is significantly different from the training data?
- How can the lack of diversity in pre-trained models' training data affect their performance on datasets with different cultural or linguistic backgrounds?
- What are some techniques to detect and mitigate bias in pre-trained models, and how can they be applied to diverse datasets?
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