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  • Prompt Engineering
  • Introduction
    • LLM Settings
    • Basics of Prompting
    • Prompt Elements
    • General Tips for Designing Prompts
    • Examples of Prompts
  • Techniques
    • Zero-shot Prompting
    • Few-shot Prompting
    • Chain-of-Thought Prompting
    • Self-Consistency
    • Generate Knowledge Prompting
    • Automatic Prompt Engineer
    • Active-Prompt
    • Directional Stimulus Prompting
    • ReAct
    • Multimodal CoT
    • Graph Prompting
  • Applications
    • Program-Aided Language Models
    • Generating Data
  • Models
    • Flan
    • ChatGPT
    • GPT-4
  • Risks & Misuses
    • Adversarial Prompting
    • Factuality
    • Biases
  • Papers
  • Tools
  • Notebooks
  • Datasets
  • Additional Readings
  • About
  • Contact ↗ (opens in a new tab)

About

The Prompt Engineering Guide is a project by DAIR.AI (opens in a new tab). It aims to educate researchers and practitioners about prompt engineering.

DAIR.AI aims to democratize AI research, education, and technologies. Our mission is to enable the next-generation of AI innovators and creators.

We welcome contributions from the community. Lookout for the Edit buttons.

License information here (opens in a new tab).

We borrow inspirations from many open resources like OpenAI CookBook (opens in a new tab), Pretrain, Prompt, Predict (opens in a new tab), Learn Prompting (opens in a new tab), and many others.


Copyright © 2023 DAIR.AI