A guide to prompt engineering that collects papers, advanced prompting techniques, learning guides, model-specific guides, lectures, references, new LLM capabilities, and tools related to prompt engineering. It describes prompt engineering as a discipline for developing and optimizing prompts to use language models across applications and research topics, and offers courses on prompting and building AI agents.
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The Prompt Engineering Roadmap on roadmap.sh is a community-created step-by-step guide for learning prompt engineering in 2026. Roadmap.sh is an open-source platform that provides developer career roadmaps, learning resources, best practices, and projects, and is the 6th most starred project on GitHub with hundreds of thousands of monthly visitors.
DAIR.AI is a GitHub organization that states it aims to democratize AI research, education, and technologies. Its repositories include a prompt engineering guide covering guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents, and AI-Papers-of-the-Week, which highlights top machine learning papers each week.
LearnPrompting is a free educational resource focused on generative AI and prompt engineering. It provides a comprehensive guide suitable for both beginners and advanced users, with structured courses, modular learning content, specialized topics including prompt hacking and image prompting, and supplementary resources such as a vocabulary guide and community support.
A free downloadable guide from Kolena Inc. on testing large language models. It identifies principles for creating reliable testing protocols and details approaches for measuring model effectiveness in NLP tasks such as text summarization and prompt engineering, and discusses tracking performance differences over time.