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Related Questions
- What is the role of data diversity in capturing low-frequency features in large language models?
- How do large datasets help mitigate the issue of out-of-vocabulary (OOV) words in machine learning models?
- Can you explain the concept of data sparsity and its impact on learning low-frequency features?
- What techniques can be employed to handle OOV words in language models, and how do large datasets aid in these techniques?
- In what ways do large datasets contribute to improving the generalizability of language models to rare or unseen features?
- What is the relationship between dataset size and the ability to learn nuanced, context-dependent features in language models?
- How do large datasets facilitate the identification of low-frequency features that are crucial for capturing subtle nuances in language?
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