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Related Questions
- What are some strategies to avoid overfitting in prompt engineering?
- How can implicit biases in prompts be identified and addressed?
- What are some techniques to evaluate the quality of prompts and prevent underfitting?
- How can prompt engineering be used to improve the generalizability of language models?
- What are some best practices for designing explicit prompts that elicit specific and relevant responses?
- How can the use of negative examples and counterfactuals be used to improve prompt quality?
- What are some methods for quantifying and measuring the effectiveness of prompts in reducing overfitting and underfitting?
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