PRECISION: A Structured Prompting Framework for Optimizing Large Language Model Interactions

This paper introduces the PRECISION prompt, a novel framework designed to optimize interactions with large language models (LLMs). PRECISION helps enhance the accuracy and control of LLM outputs, through the work of 9 main components: Persona, Requirements, Examples, Context, Scope, Iteration, Output and Nuances. In this paper, we compare PRECISION with existing prompting techniques and provide evaluation methodologies using relevant datasets to demonstrate its effectiveness.