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Related Questions
- What are the key challenges of using pre-trained models for few-shot learning in high-stakes applications?
- How can pre-trained models be fine-tuned for high-stakes applications with limited data availability?
- What are some common techniques used to adapt pre-trained models for few-shot learning in high-stakes domains?
- Can pre-trained models learn to adapt to new tasks and domains in high-stakes applications?
- What role does hyperparameter tuning play in fine-tuning pre-trained models for high-stakes few-shot learning?
- How can pre-trained models handle out-of-distribution data in high-stakes applications?
- What are some potential risks and limitations of using pre-trained models for few-shot learning in high-stakes environments?
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