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Related Questions
- What are the key characteristics of a high-quality pre-training dataset for few-shot learning?
- How does the diversity and representativeness of the pre-training dataset affect the model's ability to adapt to new tasks?
- Can you explain the relationship between pre-training dataset size and the model's performance in few-shot learning scenarios?
- What are some potential biases in pre-training datasets that can negatively impact few-shot learning performance?
- How does the quality of the pre-training dataset impact the model's ability to generalize to new domains or tasks?
- Can you discuss the trade-offs between the size and quality of the pre-training dataset in the context of few-shot learning?
- What are some strategies for mitigating the impact of low-quality pre-training datasets on few-shot learning performance?
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