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Related Questions
- What are the key concepts and terminology used in the domain that I should include in my prompts to improve LLM understanding?
- How can I use domain-specific ontologies or knowledge graphs to enhance the contextual understanding of my LLM?
- What are some common pitfalls to avoid when incorporating domain knowledge into my prompts to prevent overfitting or misinterpretation?
- Can you provide examples of successful applications of domain-specific knowledge in LLM prompts for tasks such as question answering, text classification, or language translation?
- How can I balance the level of domain-specific knowledge in my prompts to achieve a sweet spot between specificity and generalizability?
- Are there any tools or frameworks that can assist in identifying and incorporating domain-specific knowledge into LLM prompts?
- How can I evaluate the effectiveness of my domain-specific prompts in improving LLM performance and what metrics should I use to measure success?
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