Prompt optimization involves refining and crafting input statements or questions to improve the performance and responses of language models. By strategically adjusting language, structure, or content of the prompt, users can coax models to deliver more accurate, relevant, or creative outputs. This practice is especially significant when working with foundational models like OpenAI's GPT, where slight changes in phrasing can significantly impact the quality and reliability of the generated text.