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Related Questions
- What are the common biases present in language models that can affect their performance in underserved or underrepresented communities?
- How do data curation practices influence the representation of diverse languages and dialects in language models?
- Can you explain the concept of 'data bias' and how it can lead to language models performing poorly in certain communities?
- What are some strategies for ensuring that language models are trained on diverse and representative datasets to improve their performance in underserved communities?
- How do data curation practices impact the accuracy of language models in detecting and addressing hate speech or discriminatory language?
- Can you discuss the role of data curation in addressing the 'digital divide' and improving language model performance in communities with limited access to technology?
- What are some best practices for data curation in language models to ensure that they are fair, transparent, and accountable in their decision-making processes?
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