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Related Questions
- Can domain-specific knowledge in prompt engineering lead to overfitting, where the model performs well on in-domain data but poorly on out-of-domain data?
- How can domain-specific knowledge in prompt engineering introduce biases towards certain topics, entities, or perspectives?
- Can the use of domain-specific knowledge in prompt engineering result in models that are less generalizable and less transferable to other domains?
- In what ways can domain-specific knowledge in prompt engineering perpetuate existing social biases and stereotypes?
- Can the reliance on domain-specific knowledge in prompt engineering lead to a lack of transparency and interpretability in model decision-making?
- How can domain-specific knowledge in prompt engineering influence the model's ability to recognize and address potential errors or inconsistencies in the training data?
- Can the use of domain-specific knowledge in prompt engineering limit the model's ability to adapt to new or emerging topics, entities, or perspectives?
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