Concept

Prompt Engineering

Practice of designing prompts that elicit reliable, high-quality model outputs.

Definition

Prompt engineering combines empirical iteration with structural patterns — role priming, few-shot examples, chain-of-thought, output schemas, delimiters — to maximise an LLM's task performance without retraining it. It is the cheapest knob to turn before considering fine-tuning.

Common use cases

  • Production apps
  • Evaluation harnesses
  • Agent design

Related terms

    Prompt Engineering — AI Glossary | Railwail