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Related Questions
- How does transfer learning allow models to leverage pre-trained knowledge and adapt to new tasks?
- What are the key factors that influence the effectiveness of transfer learning in adapting to new contexts?
- Can you explain the concept of 'domain adaptation' in transfer learning and its importance in adapting to new prompts?
- How does transfer learning enable models to generalize across different domains and tasks?
- What are some common challenges associated with transfer learning, and how can they be addressed?
- Can you discuss the role of meta-learning in transfer learning and its potential applications?
- How does transfer learning impact the performance of models in low-resource or emerging domains?
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