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Related Questions
- What are the primary advantages of fine-tuning a pre-trained model in a specific domain?
- How does transfer learning help alleviate the need for extensive training data in new AI model applications?
- Can you elaborate on the role of domain adaptation in transfer learning for improving AI model performance?
- What are some common challenges associated with applying pre-trained models to novel domains or tasks?
- How does transfer learning impact the complexity of model architectures and hyperparameter tuning?
- In what scenarios is self-supervised learning particularly useful in conjunction with transfer learning?
- Can you provide examples of AI models that have successfully employed transfer learning to achieve state-of-the-art results?
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