Skip to content

Rewriting Prompts for Model Switching

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

beginner3 / 3

Implementation Steps

  1. Analyze Original:
    • Note verbose instructions assuming model knowledge.
  2. Rewrite:
    • Shorter: "Summarize this article in 3 bullets." vs. model-specific chains.
  3. Test Across Models:
    prompts = ["Original", "Rewritten"]
    for p in prompts:
        response = model.generate(p)
        score = evaluate(response)
    

Custom scorer

4. **Iterate**: Use few-shot examples if needed.

## Example

GPT prompt: "Think step-by-step..." → Claude: "Analyze logically: [task]".

## Evaluation
- Metrics: ROUGE for tasks, human preference.
- Trade-offs: Brevity vs. guidance.

## Conclusion

Prompt rewriting ensures portability; always validate on target models.
Section 3 of 3
View Original