Large Language Models as Optimizers: Meta-Prompt for Prompt Optimization | HackerNoon
Briefly

The research emphasizes that different optimizer models exhibit distinct performance advantages depending on the style of meta-prompts employed, underlining the need for specialized approaches.
Figure 3 illustrates the meta-prompt for PaLM 2-L-IT, while Figures 21 and 22 provide insights into the meta-prompts designed for pre-trained PaLM 2-L and GPT models respectively, showcasing the variability in effectiveness.
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