Meta prompting is a technique that leverages large language models (LLMs) to create and refine prompts dynamically, enhancing the prompt engineering process. The article explores various methods of meta prompting, including the Prompt Iterator, Learning from Contrastive Prompts, Automatic Prompt Engineer, and PromptAgent, providing insights into their operations, benefits, and challenges. Examples are included to demonstrate how these techniques can be applied effectively in workflows.