The practice of designing and refining inputs (prompts) to get the desired responses from large language models.
Prompt Engineering shapes an LLM's behavior through its input. It relies on clear instructions and few-shot examples that lead the model to return structured JSON or follow enterprise compliance rules, and that reduce the risk of hallucination.
See also Private AI, Digital Transformation and Enterprise Architecture.