Prompt Engineering Guide

A comprehensive collection of prompt engineering guides, papers, lectures, notebooks, and resources covering basic to advanced prompt engineering techniques and best practices.

The Prompt Engineering Guide is one of the most authoritative learning resources for prompt engineering, with over 60,000 GitHub stars. Maintained by the DAIR.AI team, it provides a complete knowledge system of prompt engineering from basic concepts to advanced techniques, making it an essential resource for mastering large language model interaction skills.

Systematic Knowledge Structure

The project organizes prompt engineering knowledge systematically, starting from basic prompt design principles and gradually delving into advanced techniques like Chain-of-Thought, Few-shot Learning, and Self-Consistency. Each technical point comes with detailed theoretical explanations, practical examples, and best practice guidance.

Rich Practical Cases

The guide includes numerous practical application cases covering text classification, question-answering systems, code generation, creative writing, and more. These cases not only demonstrate the practical application of prompt engineering techniques but also provide replicable templates and tips to help developers get started quickly.

Multilingual Support

The project supports 13 languages, including Chinese, English, Japanese, Korean, and more, providing a localized learning experience for global developers. This multilingual support significantly lowers the learning barrier, enabling more developers to master prompt engineering skills.

Continuously Updated Content

As large language model technology rapidly evolves, the project content is continuously updated to incorporate the latest research findings and technical advances. Active community contributors ensure the timeliness and accuracy of the content, providing learners with cutting-edge technical information.

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Prompt Engineering Guide
Resource Info
Author DAIR.AI
Added Date 2025-07-26
Type
Collection
Tags
Prompt LLM