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Related Questions
- What design patterns can be used to create prompts that are modular and reusable, allowing for easy modifications and updates?
- How can I incorporate user feedback into the prompt design process to ensure that the LLM is aligned with user needs and expectations?
- What techniques can be used to make prompts more flexible and adaptable to changing requirements, such as new domain knowledge or emerging trends?
- Can you provide examples of prompt design strategies that prioritize adaptability and flexibility, such as using placeholders or templates?
- How can I evaluate the effectiveness of a flexible prompt design in real-world applications, and what metrics should I use to measure its performance?
- What are some common pitfalls to avoid when designing flexible prompts, and how can I ensure that they remain effective over time?
- Can you discuss the role of active learning and human-in-the-loop feedback in adapting LLM prompts to changing requirements and evolving user needs?
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