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Related Questions
- What are some common pitfalls to avoid when crafting initial prompts for a large language model?
- How can you effectively evaluate the performance of a model against a given prompt?
- What are some strategies for determining the optimal level of specificity for a prompt in a real-world setting?
- How can iterative testing and refinement of prompts be integrated into a larger machine learning pipeline?
- What are some best practices for documenting and tracking changes to prompts over time?
- How can you measure the impact of prompt refinement on downstream model performance?
- What are some techniques for identifying and mitigating the effects of prompt bias or cultural insensitivity?
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