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Related Questions
- What are the key performance indicators (KPIs) for a machine learning model, and how can I use them to evaluate the effectiveness of my prompt engineering strategy?
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- What are some common pitfalls to avoid when designing prompts for a machine learning model, and how can I mitigate their impact?
- Can you provide an example of a well-designed prompt that aligns with the goals and objectives of a machine learning model, and explain the reasoning behind its design?
- How can I use techniques like active learning and human-in-the-loop feedback to refine my prompt engineering strategy and improve the model's performance?
- What role does domain knowledge play in prompt engineering, and how can I leverage it to create more effective prompts for my machine learning model?
- How can I measure the impact of my prompt engineering strategy on the model's performance, and what metrics should I use to evaluate its effectiveness?
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