An effective approach to automatically select the optimal prompt for a given input from a finite set of synthetic candidate prompts, balancing prompt generality-specificity and eliminating the need for resource-intensive training and inference.
Prompt Space provides a robust mathematical framework for selecting simple and effective prompts to significantly improve the reasoning abilities of large language models across various tasks.