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Related Questions
- Can you explain the concept of transfer learning in machine learning and its significance in domain-specific model development?
- How does pre-trained language model fine-tuning contribute to transfer learning in domain adaptation?
- What are the benefits of using transfer learning for developing domain-specific models, and can you provide examples?
- How do the limitations of transfer learning, such as catastrophic forgetting, impact domain-specific model development, and what are the potential solutions?
- Can you discuss the trade-offs between using pre-trained models and training models from scratch in domain-specific applications?
- What are some common applications of transfer learning in domain adaptation, such as natural language processing, computer vision, and speech recognition?
- How can transfer learning be used to adapt pre-trained models to new domains, and what are the key considerations for successful adaptation?
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