Prompt Engineering Guide is an open educational resource focused on techniques for communicating effectively with large language models. It covers prompt fundamentals, prompting patterns, model behavior, evaluation, retrieval, agents, reasoning approaches, safety considerations, and practical examples across a range of LLM applications.

The repository functions as both a learning path and a reference library, collecting explanations, papers, tools, and examples in one place. It is useful for developers, researchers, product teams, and learners who want to understand how prompt design affects model output and how prompting fits into broader systems such as RAG pipelines, agents, and production AI applications.