What happens when prompts learn from their own output? This chapter examines how iterative refinement, feedback loops, and evaluation cues can improve performance over time—both for models and users.

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Self-improving Prompting

  • Jordi Vallverdú

摘要

What happens when prompts learn from their own output? This chapter examines how iterative refinement, feedback loops, and evaluation cues can improve performance over time—both for models and users.