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[2309.16797] Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution

ar5iv.labs.arxiv.org · 15,457 words · saved by 1 readers

Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the reasoning abilities of Large Language Models (LLMs) in various domains. However, such hand-crafted prompt-strategies are often sub-…

Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution Chrisantha Fernando Dylan Banarse Henryk Michalewski Simon Osindero Tim Rocktäschel Google DeepMind {chrisantha,dylski,henrykm,osindero,rocktaschel}@google.com Abstract Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the reasoning abilities of Large Language Models (LLMs) in various domains. However, such hand-crafted prompt-strategies are often sub-optimal. In this paper, we present Promptbreeder , a general-purpose self-referential self-improvement mechanism that evolves and adapts prompt

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