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Related Questions
- What types of prompts elicit more contextual understanding in language models?
- How do the complexities of language structure and vocabulary impact the model's comprehension?
- What are the strategies for developing prompts that accommodate nuanced contexts and implications?
- In what ways do the levels of abstraction in prompts affect the model's ability to capture contextual information?
- How can prompt designers use techniques like 'frame-shifting' and 'bridging' to facilitate better contextual understanding?
- What is the role of 'cue' and 'contextual grounding' in optimizing prompt-based contextual comprehension?
- How can iterative refinements and testing be employed to hone the efficacy of contextual prompts?
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