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Related Questions
- How can a model's pre-training dataset affect its ability to generalize to unseen data?
- What role does domain adaptation play in the performance of large language models?
- Can a poorly curated pre-training dataset negatively impact a model's ability to learn from new data?
- How does the quality of a pre-training dataset influence a model's performance on out-of-distribution tasks?
- What are some strategies for mitigating the effects of a low-quality pre-training dataset on a model's adaptability?
- How does the alignment between a model's pre-training and fine-tuning tasks impact its ability to adapt to new domains?
- Can a model be fine-tuned for adaptability even with a poorly pre-trained dataset, or is it a lost cause?
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