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Related Questions
- What are the primary objectives of meta-learning in the context of artificial intelligence?
- How do meta-learning algorithms enable rapid adaptation to new tasks or domains?
- Can you explain the concept of episodic memory in meta-learning and its role in task adaptation?
- What is the relationship between meta-learning and few-shot learning, and how do they differ?
- How do meta-learning models handle the problem of catastrophic forgetting when adapting to new tasks?
- Can you discuss the importance of task similarity in meta-learning and how it affects adaptation performance?
- What are some common meta-learning architectures and their strengths and weaknesses in adapting to new tasks or domains?
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