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Related Questions
- What is few-shot learning and how does it differ from traditional machine learning approaches?
- How does few-shot learning enable efficient fine-tuning of large language models (LLMs) on specific tasks?
- Can you provide examples of few-shot learning applications in natural language processing (NLP) tasks?
- What are the key challenges in few-shot learning, and how can they be addressed?
- How does few-shot learning relate to meta-learning, and what are the benefits of this approach?
- What are the implications of few-shot learning for the development of more efficient and adaptable AI systems?
- Can you explain the concept of episodic training in the context of few-shot learning, and how it differs from traditional training methods?
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