Prompt engineering is the process of designing and refining input prompts for AI models, like ChatGPT, to achieve desired responses. It involves crafting prompts to guide the model's output, making it more accurate, relevant, or creative. This technique is essential for improving model performance in various tasks, from generating text to answering questions and producing content summaries.

By strategically structuring prompts, users can optimize AI outputs to align with specific needs, minimizing trial and error. It’s widely used in fields like natural language processing, customer service automation, and content generation to enhance AI effectiveness and relevance.