Prompt Engineering Guide

This guide contains a non-exhaustive set of learning guides and tools about prompt engineering. It includes several materials, guides, examples, papers, and much more. The repo is intented to be used as a research and educational reference for practitioners and developers.

Table of Contents

• Papers
• Tools & Libraries
• Datasets
• Blog, Guides, Tutorials and Other Readings

Papers

• Surveys / Overviews:
  • Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
  • A Taxonomy of Prompt Modifiers for Text-To-Image Generation
  • Emergent Abilities of Large Language Models
• Applications:
  • Legal Prompt Engineering for Multilingual Legal Judgement Prediction
  • Investigating Prompt Engineering in Diffusion Models
  • Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
  • Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?
• Approaches/Techniques:
  • Ask Me Anything: A simple strategy for prompting language models
  • Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
  • AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
  • Large Language Models Are Human-Level Prompt Engineers
  • Structured Prompting: Scaling In-Context Learning to 1,000 Examples
  • Reframing Instructional Prompts to GPTk’s Language
  • Promptagator: Few-shot Dense Retrieval From 8 Examples
  • Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
  • PromptChainer: Chaining Large Language Model Prompts through Visual Programming
• Collections:
  • Papers with Code
  • Prompt Papers

Tools & Libraries

• OpenAI Playground
• GPTTools
• Lexica
• Prompt Base
• Playground
• OpenPrompt
• Visual Prompt Builder
• Prompt Generator for OpenAI’s DALL-E 2
• AI Test Kitchen
• Prompt Engine
• PromptSource
• sharegpt

Datasets

• PartiPrompts
• Real Toxicity Prompts
• P3 - Public Pool of Prompts
• WritingPrompts
• Midjourney Prompts
• Awesome ChatGPT Prompts
• Stable Diffusion Dataset

Blog, Guides, Tutorials and Other Readings

• Prompt Engineering by co:here
• Prompt Engineering by Microsoft
• Best practices for prompt engineering with OpenAI API
• Start with an Instruction
• DALLE Prompt Book
• DALL·E 2 Prompt Engineering Guide
• Prompt injection attacks against GPT-3
• Language Models and Prompt Engineering: Systematic Survey of Prompting Methods in NLP
• Learn Prompting
• 3 Principles for prompt engineering with GPT-3
• Extrapolating to Unnatural Language Processing with GPT-3’s In-context Learning: The Good, the Bad, and the Mysterious
• Prompt Engineering Topic by GitHub
• Prompt Engineering Template
• Awesome ChatGPT Prompts
• Prompt Engineering: From Words to Art
• NLP for Text-to-Image Generators: Prompt Analysis
• GPT3 and Prompts: A quick primer
• Prompt Engineering in GPT-3
• Talking to machines: prompt engineering & injection
• A beginner-friendly guide to generative language models - LaMBDA guide
• Giving GPT-3 a Turing Test
• Prompts as Programming by Gwern
• AI Content Generation
• How to Draw Anything
• How to write good prompts
• Prompting Methods with Language Models and Their Applications to Weak Supervision
• How to get images that don’t suck
• Best 100+ Stable Diffusion Prompts
• Notes for Prompt Engineering by sw-yx

Lecture

Full tutorial and lecture coming soon!

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