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Related Questions
- How does prompt engineering enable few-shot learning to generalize well with limited training data?
- What techniques are used in prompt engineering to reduce the need for large amounts of training data?
- Can you explain the relationship between prompt engineering and the ability of few-shot learning models to adapt to new tasks?
- How does prompt engineering help to mitigate the overfitting problem in few-shot learning?
- What are some common pitfalls to avoid when using prompt engineering for few-shot learning?
- Can you provide examples of successful applications of prompt engineering in few-shot learning?
- How does the quality of the prompt affect the performance of few-shot learning models?
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