Prompt Engineering Guide: Comprehensive LLM prompting resource
Guides, papers, and resources for prompt engineering, RAG, and AI agents.
Learn more about Prompt Engineering Guide
Prompt Engineering Guide is an open-source educational repository that compiles learning materials for prompt engineering and large language model optimization. The repository is structured as a comprehensive guide with sections covering basic prompting techniques, advanced methods like chain-of-thought and retrieval-augmented generation, and practical applications. It includes both GitHub-hosted content and a companion web platform at promptingguide.ai with interactive examples and case studies. The resource covers topics from fundamental prompting concepts to complex AI agent implementations, serving researchers, developers, and practitioners working with language models.
Comprehensive Coverage
Includes techniques from basic zero-shot prompting to advanced methods like Tree of Thoughts, ReAct, and multimodal prompting. Covers both theoretical concepts and practical applications across different domains.
Multi-format Learning
Combines GitHub repository content with a dedicated web platform, offering structured guides, practical examples, and interactive learning materials. Supports 13 languages for international accessibility.
Research Integration
Incorporates latest academic papers and research findings in prompt engineering, maintaining current coverage of emerging techniques and methodologies in the field.
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