The process of carefully designing, crafting, and refining [[🔎 Prompt|prompts]] (input instructions or questions) to achieve precise, useful, and reliable outputs from [[🔎 Large Language Models (LLMs)|large language models]] or [[🔎 Artificial Intelligence (AI)|artificial intelligence]] systems. Effective prompt engineering involves: - Selecting clear, concise language. - Providing context or examples. - Structuring prompts to guide model behavior. - Adjusting prompts iteratively to improve response quality. - Understanding model limitations and capabilities. The goal is to optimize the interaction with AI systems like [[ChatGPT]] or other [[generative AI]] tools to produce desired outcomes consistently.