Prompting

Prompt Engineering

Quick Answer

The practice of crafting effective prompts to elicit desired behavior from LLMs.

Prompt engineering optimizes prompts for quality outputs. Techniques: clarity, context, examples, constraints, and iterative refinement. Good prompts are specific and unambiguous. Prompts should provide sufficient context. Prompt engineering avoids the need for fine-tuning. Quality improvement from prompt optimization can be significant. Prompt engineering is a learnable skill requiring practice. Systematic approaches (frameworks) improve results.

Last verified: 2026-04-08

Compare models

See how different LLMs compare on benchmarks, pricing, and speed.

Browse all models →