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Related Questions
- Can explicit prompts reduce the ambiguity of input data and minimize the chance of overfitting?
- How do explicit prompts allow for more controlled and targeted language generation compared to implicit prompts?
- What techniques can be used to craft explicit prompts that avoid overfitting and underfitting caused by implicit prompts?
- Can explicit prompts provide a clearer understanding of the desired output and reduce the likelihood of misinterpretation?
- How does the use of explicit prompts impact the performance of a large language model in real-world applications?
- Can explicit prompts be designed to handle multi-step problems and reduce the risk of overfitting or underfitting?
- What are the key characteristics of effective explicit prompts, and how can they be developed to mitigate the risks of overfitting and underfitting?
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