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Related Questions
- What are the key characteristics of pre-trained models that enable them to address data scarcity?
- How do pre-trained models leverage transfer learning to adapt to new tasks and domains?
- Can you explain the concept of 'few-shot learning' and how pre-trained models facilitate it?
- What are the benefits and limitations of using pre-trained models for tasks with limited data?
- How do pre-trained models handle out-of-distribution data and what are the implications for AI development?
- What role do pre-trained models play in bridging the gap between small and large datasets in AI development?
- Can you discuss the trade-offs between fine-tuning pre-trained models and training models from scratch when dealing with data scarcity?
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