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Related Questions
- What are some notable examples of few-shot learning in natural language processing where prompt engineering was crucial?
- Can you provide examples of applications where prompt engineering improved the performance of few-shot learning models in NLP?
- How does prompt engineering contribute to the success of few-shot learning in tasks like text classification and sentiment analysis?
- What are some techniques used in prompt engineering to enhance the performance of few-shot learning models in NLP?
- Can you give examples of few-shot learning applications in NLP where prompt engineering was used to adapt to new domains or tasks?
- How does prompt engineering help to reduce the reliance on large amounts of labeled data in few-shot learning for NLP tasks?
- What are some challenges in prompt engineering for few-shot learning in NLP, and how can they be addressed?
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