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Related Questions
- What are some effective techniques for adapting pre-trained models to new domains with limited labeled data?
- How can we leverage transfer learning to fine-tune a pre-trained model on a specific domain with limited data?
- What is the role of data augmentation in fine-tuning pre-trained models for domain adaptation?
- Can you explain the concept of few-shot learning and how it can be applied to fine-tuning pre-trained models?
- How do we balance the trade-off between model performance and the need for labeled data in fine-tuning pre-trained models?
- What are some strategies for selecting the most relevant pre-trained model for fine-tuning on a specific domain?
- Can you discuss the challenges of fine-tuning pre-trained models on small datasets and how to overcome them?
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