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Prompt Engineering Guide is an open-source learning resource for designing, testing, and improving prompts for large language models. It combines tutorials, research papers, notebooks, lectures, references, and practical examples in one structured knowledge base. The material covers foundational prompting as well as advanced techniques for reasoning, tool use, and model control. Dedicated sections extend beyond prompts into context engineering, retrieval-augmented generation, and AI agent design. Model-specific guides help developers understand how prompting behavior changes across different LLM families. The project also explores safety, evaluation, domain knowledge integration, and new research developments. Its documentation site can be run locally with Node.js and Nextra.
Features
- Prompt engineering tutorials and techniques
- Context engineering and RAG guidance
- AI agent design resources
- Model-specific prompting guides
- Research papers, notebooks, and lectures
- Safety, evaluation, and tool-use coverage
Project Samples
