Prompt Engineering
Prompt engineering is the practice of writing inputs that get reliable, useful results from AI assistants and large language models. Clear context, format and examples dramatically improve output — a practical skill for anyone using AI for drafting, analysis or knowledge search at work.
Because an LLM's output depends heavily on how it is asked, prompt engineering covers giving the model a role, context, constraints and examples, and iterating on the response. In an industrial setting it improves results from AI used for report drafting, document search and analysis. It is less a deep technical skill than a clear-communication discipline, and the foundation of getting consistent value from AI tools.
Related terms
Large Language Model (LLM) · Generative AI · Retrieval-Augmented Generation (RAG)
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