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Related Questions
- How can contextualization in language models account for cultural nuances and variations in language use?
- What techniques can be employed to reduce bias in language models and promote more inclusive language representation?
- Can you explain the role of data curation in ensuring that language models reflect diverse language use and cultural contexts?
- How can contextualization in language models be used to address the representation of marginalized groups in language data?
- What steps can be taken to ensure that language models are trained on data that reflects the full range of human language and experience?
- Can you discuss the relationship between contextualization and the representation of language in language models?
- How can contextualization in language models be designed to promote more nuanced and accurate understanding of language use in different cultural contexts?
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