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Prompt Engineering

The craft of designing inputs (prompts) to reliably get high-quality outputs from a model.

Practical tactics: state the role and goal clearly, give examples (few-shot), ask for step-by-step reasoning on hard tasks, and specify the exact output format. See our Prompt Library for ready-made templates.

Related resources

Prompt Engineering Guide
A widely recognised, community-driven resource that systematically teaches prompt engineering — from foundational techniques like zero-shot and few-shot prompting to advanced methods such as chain-of-thought reasoning. It includes multilingual examples, model-agnostic design principles, and practical tips that help practitioners at every level improve AI output quality in a structured way.
Learn Prompting Tutorial
Learn Prompting is a free, open-source course that systematically teaches prompt engineering from foundational techniques to advanced strategies like chain-of-thought and few-shot learning. It covers text, image, and code generation prompts, making it a comprehensive resource for anyone looking to get better results from AI models.