PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models

Crafting an ideal prompt for Large Language Models (LLMs) is a challenging task that demands significant resources and expert human input. Existing work treats the optimization of prompt instruction and in-context learning examples as distinct problems, leading to sub-optimal prompt performance. Thi...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Cui, Wendi, Zhang, Jiaxin, Li, Zhuohang, Sun, Hao, Lopez, Damien, Das, Kamalika, Bradley, Malin, Kumar, Sricharan
Format:	Artikel
Sprache:	eng
Schlagworte:	Context Convergence Efficiency Evolutionary algorithms Large language models Optimization
Online-Zugang:	Volltext
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