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Related Questions
- How does the size and diversity of the pre-training dataset impact the model's ability to generalize to new data?
- What are some common techniques used to evaluate a model's generalization ability on unseen data?
- Can you explain the concept of 'overfitting' and how it relates to pre-training on a large dataset?
- What role does the quality of the pre-training dataset play in determining the model's ability to generalize?
- How does the pre-training task influence the model's ability to generalize to new tasks?
- What are some strategies for fine-tuning a pre-trained model to improve its generalization to new data?
- Can you discuss the trade-offs between the size of the pre-training dataset and the model's ability to generalize to new data?
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