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Related Questions
- What are the key considerations when designing contextual prompts for large language models to handle complex scenarios?
- How can I incorporate background knowledge and domain-specific information into my prompts to improve the accuracy of the model's responses?
- What are some strategies for creating prompts that account for nuances and subtleties in human communication, such as idioms, colloquialisms, and figurative language?
- How can I use contextual information to disambiguate between multiple possible interpretations of a prompt and ensure the model provides a relevant response?
- What are the best practices for using contextual information to avoid providing ambiguous or misleading prompts that may lead to incorrect or irrelevant responses?
- Can you provide examples of how to use contextual information to create prompts that simulate real-world conversations and scenarios?
- How can I evaluate the effectiveness of contextual prompts in handling complex scenarios and improve the model's performance over time?
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