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Related Questions
- What are some strategies for incorporating contextual cues into prompt engineering to improve the AI model's ability to detect subtle changes in context?
- How can I design prompts that effectively handle out-of-domain or unexpected input in a way that minimizes errors and improves overall model performance?
- What are some techniques for using linguistic and semantic patterns to signal context changes to the AI model?
- Can you explain the concept of 'context windows' in prompt engineering and how they can be used to handle context changes?
- What role do coreference resolution and anaphora resolution play in facilitating the AI model's understanding of implicit context changes?
- How can I use rhetorical devices and linguistic markers to make it clear when the context is shifting or changing in a prompt?
- Are there any techniques for using explicit vs. implicit context changes in prompts to improve model performance and robustness?
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