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Related Questions
- How does the size of the pre-training dataset impact a language model's capacity to generalize to unseen tasks?
- Can you discuss the relationship between pre-training data scale and the model's ability to adapt to new domains or genres of text?
- What are the key factors that influence the effectiveness of a language model's adaptation to new tasks, and how does data scale play a role?
- How does the size of the pre-training data affect the model's ability to learn abstract and nuanced relationships between words and concepts?
- Can you explain the concept of 'overspecialization' in language models and how it relates to the scale of pre-training data?
- What are some potential drawbacks of increasing the scale of pre-training data, and how might they impact a model's adaptability?
- Can you discuss the role of data diversity in pre-training data and how it contributes to a model's ability to adapt to new tasks
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