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Related Questions
- What are the key factors that contribute to the quality of a pre-trained model?
- How does the pre-training dataset size impact the model's performance after fine-tuning?
- What are the trade-offs between model size and quality in pre-training?
- Can you explain the concept of 'model drift' and how it affects fine-tuning performance?
- How does the choice of pre-training objective function influence the model's ability to generalize?
- What role does the pre-training task play in determining the model's performance on downstream tasks?
- Can you discuss the relationship between pre-training model quality and the difficulty of the fine-tuning task?
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