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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.
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README.md

Prompt Engineering Guide

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.

Happy Prompting!

Lecture

We have published a 1 hour lecture that provides a comprehensive overview of prompting techniques, applications, and tools. - Video Lecture - Notebook with code - Slides

Guides

Please note that the guides below are now outdated. You can find the most up-to-date guides on our new website https://www.promptingguide.ai/.

Appearances

Some places where we have been featured: - Wall Street Journal - ChatGPT Can Give Great Answers. But Only If You Know How to Ask the Right Question - Forbes - Mom, Dad, I Want To Be A Prompt Engineer - Markettechpost - Best Free Prompt Engineering Resources (2023)

If you are using the guide for your work, 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!