awesome-gpt-prompt-engineering

Awesome GPT Prompt Engineering

A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.

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Table of Contents

• Awesome GPT Prompt Engineering
  • Roadmaps
  • Guides
  • Techniques
  • Prompt Collections
  • Papers
  • Books
  • Communities
  • Prompt Generators
  • Auto-GPT Related
  • Prompt Injection
  • Playgrounds and Alternative UIs
  • ChatGPT Plug-ins
  • Prompt Engineering Jobs Offers
  • AI Links Directories
• Contributing

Roadmaps

• Prompt Engineering Roadmap: Step by step guide to learning Prompt Engineering.

Guides

• Learn Prompt Engineering: Introduction to Prompt Engineering and Prompt Engineering techniques.
• Prompt Engineering Guide: Guides, papers, lecture, notebooks and resources for prompt engineering.
• Prompt Engineering 101: Prompt Engineering guide by Xavi.
• Prompt Engineering 101: Prompt Engineering guide by Raza Habib & Sinan Ozdemir.
• Prompt Engineering Guide: Prompt Engineering guide by Sudalai Rajkumar.
• How to generate text: using different decoding methods for language generation with Transformers: A guide to decoding methods for language generation with Transformers.
• The Illustrated Transformer: A visual guide to transformers, the core model used in GPT.
• Reddit’s r/aipromptprogramming Tutorials Collection: A collection of tutorials for prompt engineering.
• Prompt Engineering Guide: A comprehensive guide that contains all the latest papers, learning resources, and developments in the field of prompt engineering.
• dair-ai/Prompt-Engineering-Guide: A GitHub repository that provides a prompt engineering guide with the latest papers and learning guides.
• How to Communicate with ChatGPT – A Guide to Prompt Engineering: A guide that explains what prompt engineering is and how you can use it to improve your communication with AI tools.
• A Beginner’s Guide to ChatGPT Prompt Engineering: A beginner-friendly guide that delves into the art and science of Prompt Engineering.
• A Complete Introduction to Prompt Engineering for Large Language Models
• Prompt Engineering Guide: How to Engineer the Perfect Prompts
• Best practices for prompt engineering with OpenAI API: A guide by OpenAI that provides best practices for prompt engineering.
• ChatGPT Prompt Engineering for Developers: A short course on prompt engineering by deeplearning.ai.
• Natural Language Processing: Coursera specialization focusing on NLP.
• Learn Prompting: A Free, Open Source Course on Communicating with AI.
• Deep Learning Specialization: Coursera specialization by Andrew Ng, which includes a course on Sequence Models.
• OpenAI Cookbook: OpenAI’s cookbook includes examples of prompt engineering.
• Tokens and Tokenization: Understanding Cost, Speed, and Limits with OpenAI’s APIs: Everything tokens and tokenization. How to control costs/performance, how to handle Max Token limits, and a real-world example on how you can make your prompts more efficient.
• How OpenAI Parameters Actuallly Work: How to use OpenAI’s parameters to experiment with prompts and get better outputs.
• A Beginner’s Guide on Embeddings and Their Impact on Prompts: A Beginner’s Guide on Embeddings and Their Impact on Prompts.
• Prompt Engineering for Vision Models: A beginner’s guide to prompting vision models from DeepLearningAI.

Techniques

• Few Shot Learning: Everything you need to know about Few-Shot Learning.
• Zero Shot Learning: Large Language Models are Zero-Shot Reasoners.
• Chain of Thought: Encourages the LLM to explain its reasoning to improve its accuracy.
• Zero Shot Chain of Thought: Enable Chain of Thought with only a few words.
• Tree of Thoughts: Tree of Thoughts: Deliberate Problem Solving. with Large Language Models.
• Multi Persona Collaboration: Prompt the LLM to dynamically generate personas to collaborate to solve a task.
• Mastering ChatGPT Prompts: Mastering ChatGPT Prompts: Harnessing Zero, One, and Few-Shot Learning, Fine-Tuning, and Embeddings for Enhanced GPT Performance.
• Prompting GPT-3 To Be Reliable: Prompting GPT-3 To Be Reliable.
• Decomposed Prompting: A Modular Approach for Solving Complex Tasks.
• AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.
• LangChain Github Repository: Building applications with LLMs through composability.
• Embedchain Github Repository: Framework to create ChatGPT-like bots over your dataset.

Prompt Collections

• FlowGPT: FlowGPT is the largest open source prompt community.
• awesomegptprompts.com: Explore hundreds of the best ChatGPT Prompts.
• fka/awesome-chatgpt-prompts: Dataset of awesome chatgpt prompts.
• f/awesome-chatgpt-prompts: This repo includes ChatGPT prompt curation to use ChatGPT better. .
• Awesome ChatGPT Prompts
• PromptHub
• ShowGPT.co
• Best Data Science ChatGPT Prompts
• ChatGPT prompts uploaded by the FlowGPT community
• Ignacio Velásquez Prompt Templates: 500+ ChatGPT Prompt Templates.
• PromptPal: A collection of prompts for GPT-3 and other language models.
• Hero GPT: AI Prompt Library.
• Reddit’s ChatGPT Prompts
• Snack Prompt: GPT prompts collection, has a a Chrome extension.
• ShareGPT: Share your prompts and your entire conversations.
• Prompt Search: a search engine for AI Prompts.
• PromptBase: The largest prompts marketplace on the web.
• The Ultimate 5 ChatGPT Prompts: Simplify Your AI Experience.
• The Prompt Index: A vast collection of carefully curated prompts, stimulating imagination and fueling creative endeavours.
• PromptDen: A growing list of thousands of prompts for both text and image generation. Free to explore, add your own, save your favorites and even create a profile page for prompt engineering.
• God Tier Prompts: Discover the best prompts. A community-driven leaderboard where the best prompts rise to the top.

Papers

• Attention Is All You Need: Transformer introduction paper.
• Language Models are Few-Shot Learners: GPT-3 introduction paper by OpenAI.
• Fine-Tuning Language Models from Human Preferences: Important paper on fine-tuning language models by OpenAI.
• The Prompt Report: A systematic survey of prompting techniques.
• The Power of Scale for Parameter-Efficient Prompt Tuning: Explores the benefits of “prompt tuning” for robust task performance.
• Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations: Introduces an architecture for accurate stock forecasting using financial data and social media signals.
• A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
• Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery.
• Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models.
• Progressive Prompts: Continual Learning for Language Models.
• Batch Prompting: Efficient Inference with LLM APIs.
• Successive Prompting for Decompleting Complex Questions
• Structured Prompting: Scaling In-Context Learning to 1,000 Examples.
• Large Language Models Are Human-Level Prompt Engineers
• Ask Me Anything: A simple strategy for prompting language models.
• PromptChainer: Chaining Large Language Model Prompts through Visual Programming.
• Reframing Instructional Prompts to GPTk’s Language
• Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm.
• Prefix-Tuning: Optimizing Continuous Prompts for Generation
• Multimodal Chain-of-Thought Reasoning in Language Models
• On Second Thought, Let’s Not Think Step by Step!: Bias and Toxicity in Zero-Shot Reasoning.
• ReAct: Synergizing Reasoning and Acting in Language Models
• Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.
• On the Advance of Making Language Models Better Reasoners
• Large Language Models are Zero-Shot Reasoners
• Reasoning Like Program Executors
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Chain of Thought Prompting Elicits Reasoning in Large Language Models
• Generated Knowledge Prompting for Commonsense Reasoning
• Large Language Models Can Be Easily Distracted by Irrelevant Context
• Constitutional AI: Harmlessness from AI Feedback

Books

• The ChatGPT Prompt Book: A book dedicated to ChatGPT prompts.
• You Look Like a Thing and I Love You: A book about AI with a focus on language models.

Communities

• OpenAI Discord Server: The official OpenAI Discord server.
• Attention Architects: Prompt Engineering expert & open source community.
• ChatGPT Prompt Engineering Discord Server: A Discord server dedicated to prompt engineering.
• Attention Architects: Prompt Engineering open source community.
• r/MachineLearning: The Machine Learning subreddit often has discussions on GPT and other language models.
• Hugging Face Forum: A forum for discussing Hugging Face’s transformer models, including GPT.
• ChatGPT Community Discord Server: A Discord server dedicated to ChatGPT.
• Reddit’s ChatGPT Discord Server: r/chatgpt Discord server.
• PromptsLab Discord: Knowledge sharing community for Generative Models, Prompt Engineering, LLMs.
• Learn Prompting: A Discord server dedicated to learning about prompts.
• Artificial Intelligence Discord: Discord server for AI enthusiasts and prompt engineers.

Playgrounds and Alternative UIs

• Official OpenAI Playground
• llm: Use any LLM from the command line, easily.
• Nat.Dev: Multiple Chat AI Playground & Comparer.
• Poe.com: All in one playground: GPT4, Sage, Claude+, Dragonfly, and more…
• Ora.sh GPT-4 Chatbots
• Better ChatGPT: A web app with a better UI for exploring OpenAI’s ChatGPT API.
• LMQL.AI: A programming language and platform for language models.
• Vercel Ai Playground: One prompt, multiple Models (including GPT-4).
• Conju.ai: A visual prompt chaining app.
• Voiceflow: Professional collaborative visual prompt-chaining tool.
• Opik: Evaluate, test, and ship LLM applications across your dev and production lifecycles.
• Rhesis AI: OSS Platform & SDK. Collaborative agent testing for teams.
• Rival: AI model comparison and multi-model Prompt Lab. Test prompts across 200+ models side-by-side with blind preference voting and open datasets.

Prompt Generators

• Promptify: Automatically improve your prompt.
• Fusion: Elevate your output with Fusion’s smart prompts.
• Bumble-Prompts: Let AI Write your bumble prompt.
• ChatGPT Prompt Generator: Generates ChatGPT prompts based on a BART model.
• PromptPerfect: Prompt optimizer.
• Hero GPT: AI Prompt Generator.
• TubePrompter: Converts YouTube, TikTok, and Instagram videos into AI-ready prompts for Sora, Midjourney, and Runway using computer vision analysis.
• LMQL: Query language for programming large language models.
• OpenPromptStudio
• BossGPT

Auto-GPT Related

• Auto-GPT Official Repo
• Auto-GPT God Mode
• OpenAIMaster’s Guide to Auto-GPT: How does Auto-GPT work, an AI tool to create full projects.
• AgentGPT: GPT agents in browser.
• DemoGPT: 🧩 DemoGPT enables you to create quick demos by just using prompts.

Prompt Injection

• Understanding Prompt Injections and What You Can Do About Them: An introduction to prompt injections with examples and tactics you can use to mitigate potential risks in your application.
• Learn Prompting’s Prompt Injection guide: A guide to prompt injections with examples.
• Prompt injection: What’s the worst that can happen?
• Prompt injections are bad, mkay?

ChatGPT Plug-ins

• ChatGPT plugins: OpenAI Official Page.
• Plug-in example code in Python: Example code for creating a ChatGPT plug-in in Python.
• Surfer Plug-in source code
• Security: (PAID) Create, deploy, monitor and secure LLM Plugins.

Prompt Engineering Jobs Offers

• Prompt-Talent: Prompt Engineering job offers.

AI Links Directories

• llm: Use any LLM from the command line.
• FuturePedia: The Largest AI Tools Directory Updated Daily.
• Theresanaiforthat: The biggest AI aggregator.
• Awesome-Prompt-Engineering
• AiTreasureBox
• EwingYangs Awesome-open-gpt
• KennethanCeyer Awesome-llmops
• KennethanCeyer awesome-llm
• tensorchord Awesome-LLMOps
• Price Per Token: Compare LLM API pricing across 300+ models with benchmarks and cost calculators.

Contributing

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