Few-Shot Prompting

Plain-English explanation

Few-shot examples improve consistency for classification, extraction, rewriting, and formatting tasks. Include edge cases and counterexamples where possible.

Why it matters

Few-Shot Prompting matters because it affects how AI systems are designed, evaluated, priced, or trusted. Knowing the term helps you ask better questions and avoid vague implementation decisions.

• Ask how it changes quality, cost, speed, or safety.
• Look for concrete examples in the workflow you are building.
• Document the tradeoff before choosing a tool or architecture.