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Related Questions
- What are the key factors to consider when selecting pre-training data for a language model?
- How does the quality and diversity of pre-training data affect a language model's performance on a downstream task?
- Can you explain the concept of data bias in pre-training data and how it can impact a language model's performance?
- What are some common pitfalls to avoid when selecting pre-training data for a language model?
- How does the size of the pre-training data impact a language model's performance on a downstream task?
- Can you discuss the role of domain adaptation in pre-training data and how it can improve a language model's performance?
- What are some strategies for curating and preprocessing pre-training data to improve a language model's performance on a downstream task?
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