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    dair-ai/Prompt-Engineering-Guide

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    🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

    ai-agents
    ai
    deep-learning
    llm
    agent
    agents
    chatgpt
    generative-ai
    language-model
    MDX
    MIT
    76.4K stars
    8.4K forks
    76.4K GitHub watchers
    Updated 7/12/2026
    View on GitHub

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    Use Cases & Benefits

    • Provides comprehensive guides, papers, lessons, notebooks, and resources for prompt engineering, context engineering, retrieval augmented generation, and AI agents.
    • Aggregates the latest research, practical techniques, and multilingual resources to help users master prompt engineering for large language models effectively.
    • Use for learning foundational and advanced prompt engineering techniques to optimize interactions with language models in research or development.
    • Use for accessing curated educational content and courses to train teams or individuals on prompt engineering and AI agent design.
    • Use for exploring practical applications like function calling, synthetic data generation, and prompt chaining to build robust AI-driven solutions.

    About Prompt-Engineering-Guide

    Prompt Engineering Guide

    Sponsored by    

    Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.

    Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, learning guides, lectures, references, and tools related to prompt engineering for LLMs.

    🌐 Prompt Engineering Guide (Web Version)

    🎉 We are excited to launch our new prompt engineering, RAG, and AI Agents courses under the DAIR.AI Academy. Join Now!

    The courses are meant to compliment this guide and provide a more hands-on approach to learning about prompt engineering, context engineering, and AI Agents.

    Use code PROMPTING20 to get an extra 20% off.

    Happy Prompting!

    Announcements / Updates

    • 🎓 We now offer self-paced prompt engineering courses under our DAIR.AI Academy. Join Now!
    • 🎓 New course on Prompt Engineering for LLMs announced! Enroll here!
    • 💼 We now offer several services like corporate training, consulting, and talks.
    • 🌐 We now support 13 languages! Welcoming more translations.
    • 👩‍🎓 We crossed 3 million learners in January 2024!
    • 🎉 We have launched a new web version of the guide here
    • 🔥 We reached #1 on Hacker News on 21 Feb 2023
    • 🎉 The First Prompt Engineering Lecture went live here

    Join our Discord

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    Guides

    You can also find the most up-to-date guides on our new website https://www.promptingguide.ai/.

    Lecture

    We have published a 1 hour lecture that provides a comprehensive overview of prompting techniques, applications, and tools.

    Running the guide locally

    To run the guide locally, for example to check the correct implementation of a new translation, you will need to:

    1. Install Node >=18.0.0
    2. Install pnpm if not present in your system. Check here for detailed instructions.
    3. Install the dependencies: pnpm i next react react-dom nextra nextra-theme-docs
    4. Boot the guide with pnpm dev
    5. Browse the guide at http://localhost:3000/

    Appearances

    Some places where we have been featured:

    If you are using the guide for your work or research, please cite us as follows:

    @article{Saravia_Prompt_Engineering_Guide_2022,
author = {Saravia, Elvis},
journal = {https://github.com/dair-ai/Prompt-Engineering-Guide},
month = {12},
title = {{Prompt Engineering Guide}},
year = {2022}
}

    License

    MIT License

    Feel free to open a PR if you think something is missing here. Always welcome feedback and suggestions. Just open an issue!

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