Meta Prompting is the process of interacting with language models by iteratively refining and optimizing prompts to generate more accurate or relevant responses. It involves testing different prompt structures and contents to determine which ones yield the most useful and coherent outputs from the model. This technique can be crucial for developing applications that require precise language understanding, making it akin to an art form in prompt engineering.