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Related Questions
- What are the implications of biased data on LLMs' ability to generalize and make fair predictions?
- How can data curation strategies mitigate the risk of perpetuating existing social biases in LLMs?
- What role does data augmentation play in ensuring the diversity and representativeness of the training data?
- Can you explain how data curation can address issues of data imbalance and its impact on LLMs' fairness and accuracy?
- What methods can be employed to assess and mitigate the impact of data curation on the fairness and equity of LLMs?
- How does data curation impact the interpretability and transparency of LLMs' decision-making processes?
- What are some best practices for data curation in the context of LLMs, particularly with regards to fairness and equity?
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