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Related Questions
- What are the key factors that determine the quality of a language model's training data?
- How does the diversity of training data affect a language model's ability to handle out-of-vocabulary words?
- What are some common techniques used to increase the diversity of training data for language models?
- Can you explain the concept of data curation and its importance in language model training?
- How does the diversity of training data impact a language model's ability to generalize to new domains?
- What are some potential risks or biases associated with using a language model trained on a limited or homogeneous dataset?
- Can you discuss the relationship between data diversity and the development of domain-specific language models?
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