Prompt Engineering Guide: Techniques, Courses, and Resources for Working with LLMs

The Prompt Engineering Guide is a comprehensive resource dedicated to the emerging discipline of prompt engineering — the practice of designing and optimizing prompts to effectively leverage large language models (LLMs). It highlights how researchers use prompt engineering to enhance LLM performance on tasks like question answering and arithmetic reasoning, while developers use it to build robust prompting techniques that interface with LLMs and external tools.

Beyond just crafting prompts, the guide emphasizes that prompt engineering encompasses a broad set of skills for interacting with and understanding LLMs, including improving model safety, integrating domain knowledge, and augmenting models with external tools. The resource compiles the latest research papers, advanced techniques, model-specific guides, lectures, and tools. It also offers structured courses ranging from beginner-level prompt engineering fundamentals to intermediate courses on building effective AI agents with function calling and tool integration.