Prompt Engineering is a technique used to guide language models in generating specific outputs by carefully crafting input prompts. It involves understanding the model’s behavior and systematically testing different prompts to achieve the desired result. This method is crucial in applications like chatbots or automated content generation, where the specificity and accuracy of a model's response are reliant on the initial query setup. It shares similarities with query optimization in databases.