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Related Questions
- What are the key differences between general and domain-specific knowledge in prompt engineering?
- How can domain-specific knowledge influence the model's understanding of nuanced concepts and subtleties in the training data?
- What are some common pitfalls or challenges that domain-specific knowledge can help address in the training data?
- Can you provide examples of how domain-specific knowledge can be incorporated into prompts to improve the model's accuracy and reliability?
- How does domain-specific knowledge impact the model's ability to recognize and address cultural or regional biases in the training data?
- What role does domain-specific knowledge play in minimizing the impact of noisy or inconsistent data on the model's performance?
- How can domain-specific knowledge be used to optimize the model's ability to generalize to new or unseen data in the target domain?
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