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README.md
Prompt Engineering Guide
This guide contains a set of recent papers, learning guides, and tools related to prompt engineering. The repo is intended as a research and educational reference for practitioners and developers.
Announcements:
🎉 Prompt Engineering Lecture is live here! It Includes notebook and slides.
- Join our Discord
Table of Contents
Guides
The following are a set of guides on prompt engineering developed by us. Guides are work in progress.
- Prompt Engineering - Introduction
- Prompt Engineering - Basic Prompting
- Prompt Engineering - Advanced Prompting
- Prompt Engineering - Adversarial Prompting
- Prompt Engineering - Miscellaneous Topics
Tools & Libraries
(Sorted by Name)
- AI Test Kitchen
- betterprompt
- DreamStudio
- DUST
- Dyno
- EveryPrompt
- GPT Index
- GPTTools
- hwchase17/adversarial-prompts
- Interactive Composition Explorer
- LangChain
- LearnGPT
- Lexica
- loom
- Metaprompt
- OpenAI Playground
- OpenPrompt
- Playground
- Prodia
- Prompt Base
- Prompt Engine
- Prompt Generator for OpenAI’s DALL-E 2
- Promptable
- PromptInject
- Prompts.ai
- PromptSource
- Scale SpellBook
- sharegpt
- ThoughtSource
- Visual Prompt Builder
Blog, Guides, Tutorials and Other Readings
(Sorted by Name)
- 3 Principles for prompt engineering with GPT-3
- A beginner-friendly guide to generative language models - LaMBDA guide
- A Complete Introduction to Prompt Engineering for Large Language Models
- A Generic Framework for ChatGPT Prompt Engineering
- AI Content Generation
- Awesome ChatGPT Prompts
- Best 100+ Stable Diffusion Prompts
- Best practices for prompt engineering with OpenAI API
- ChatGPT, AI and GPT-3 Apps and use cases
- CMU Advanced NLP 2022: Prompting
- Curtis64’s set of prompt gists
- DALL·E 2 Prompt Engineering Guide
- DALL·E 2 Preview - Risks and Limitations
- DALLE Prompt Book
- DALL-E, Make Me Another Picasso, Please
- Diffusion Models: A Practical Guide
- Exploiting GPT-3 Prompts
- Exploring Prompt Injection Attacks
- Extrapolating to Unnatural Language Processing with GPT-3’s In-context Learning: The Good, the Bad, and the Mysterious
- Generative AI with Cohere: Part 1 - Model Prompting
- Giving GPT-3 a Turing Test
- GPT3 and Prompts: A quick primer
- How to Draw Anything
- How to get images that don’t suck
- How to write good prompts
- Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP
- Introduction to Reinforcement Learning with Human Feedback
- Learn Prompting
- Methods of prompt programming
- Mysteries of mode collapse
- NLP for Text-to-Image Generators: Prompt Analysis
- NLP with Deep Learning CS224N/Ling284 - Lecture 11: Promting, Instruction Tuning, and RLHF
- Notes for Prompt Engineering by sw-yx
- OpenAI Cookbook
- OpenAI Prompt Examples for several applications
- Pretrain, Prompt, Predict - A New Paradigm for NLP
- Prompt Engineering 101 - Introduction and resources
- Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting
- Prompt Engineering 101
- Prompt Engineering - A new profession ?
- Prompt Engineering by co:here
- Prompt Engineering by Microsoft
- Prompt Engineering: The Career of Future
- Prompt engineering davinci-003 on our own docs for automated support (Part I)
- Prompt Engineering Guide: How to Engineer the Perfect Prompts
- Prompt Engineering in GPT-3
- Prompt Engineering Template
- Prompt Engineering Topic by GitHub
- Prompt Engineering: From Words to Art
- Prompt Engineering with OpenAI’s GPT-3 and other LLMs
- Prompt injection attacks against GPT-3
- Prompt injection to read out the secret OpenAI API key
- Prompting in NLP: Prompt-based zero-shot learning
- Prompting Methods with Language Models and Their Applications to Weak Supervision
- Prompts as Programming by Gwern
- Reverse Prompt Engineering for Fun and (no) Profit
- So you want to be a prompt engineer: Critical careers of the future
- Simulators
- Start with an Instruction
- Talking to machines: prompt engineering & injection
- the Book - Fed Honeypot
- The ChatGPT Prompt Book
- Using GPT-Eliezer against ChatGPT Jailbreaking
- What Is ChatGPT Doing … and Why Does It Work?
Feel free to open a PR if you think something is missing here. Always welcome feedback and suggestions.