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Related Questions
- How can we use domain-specific ontologies to enhance prompt engineering for task-specific knowledge retrieval?
- What are some strategies for incorporating contextual information into prompts to minimize task similarity and improve model performance?
- Can you explain the concept of 'prompt chaining' and how it can be used to reduce task similarity in large language models?
- How can we leverage external knowledge sources, such as databases or APIs, to provide context-specific information to language models?
- What are some techniques for adapting prompts to specific domains or tasks to reduce the need for generic knowledge retrieval?
- Can you discuss the role of entity recognition and disambiguation in incorporating context-specific knowledge into prompts?
- How can we evaluate the effectiveness of context-specific knowledge incorporation in prompts and identify areas for improvement?
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