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Rewriting Prompts for Model Switching

Prompts tuned for one LLM (e.g., GPT) may underperform on others; rewriting aligns with model defaults.

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Key Concepts

  • Overfitting: Prompts exploit training artifacts.
  • Adaptation: Simplify, add examples, adjust tone.
  • Evaluation: A/B test on metrics like accuracy/fluency.
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