Awesome Prompt Engineering

         

A curated list of resources, tools, papers, and platforms for prompt engineering in large language models (LLMs) and generative AI.

Prompt engineering is the craft of designing effective prompts to instruct and guide AI models to perform specific tasks accurately, creatively, and reliably.

Contents

• Guides & Introductions
• Courses & Tutorials
• Prompt Libraries
• Prompt Engineering Tools
• Research & Papers
• Communities & Blogs
• Applications & Use Cases
• Related Awesome Lists

Guides & Introductions

• OpenAI – Prompt Engineering Guide – Best practices from OpenAI on writing effective prompts for GPT models.
• Prompt Engineering Guide – Comprehensive GitHub resource with examples and tips.
• DeepLearning.AI’s Prompt Engineering Guide – Short course by Andrew Ng and OpenAI.
• Anthropic Prompting Guide – Guidelines for crafting prompts with Claude models.

Courses & Tutorials

• Learn Prompting – Open-source and beginner-friendly prompt engineering course.
• LangChain Prompt Templates – How to design reusable prompt templates in LangChain.
• FreeCodeCamp – Prompt Engineering Tutorial – Hands-on tutorial with examples.
• Prompt Engineering Techniques – 22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamentals to advanced LLM strategies.

Prompt Libraries

• Awesome ChatGPT Prompts – A collection of useful and creative prompts for ChatGPT.
• PromptBase – Marketplace to buy and sell AI prompts.
• FlowGPT – Community-curated prompt sharing and discovery platform.
• PromptHero – Prompt library focused on generative art and image models.

Prompt Engineering Tools

• LangChain – Framework for developing applications using LLMs with advanced prompt orchestration.
• PromptLayer – Prompt management and version control for LLM prompts.
• Promptfoo – Tool for testing, evaluating, and benchmarking prompts.
• Chainlit – Open-source framework for developing LLM-powered apps with prompt visibility.
• flompt – Open source visual prompt builder that decomposes prompts into semantic blocks and compiles them into structured formats.

Research & Papers

• "Language Models are Few-Shot Learners" (GPT-3) – Seminal paper introducing GPT-3 and few-shot prompting.
• "Prompt Programming for Large Language Models" (2021) – Discusses patterns and techniques in prompt engineering.
• Awesome LLM Papers – Curated academic papers on large language models and prompting.

Communities & Blogs

• r/LocalLLaMA – Subreddit for local LLM development and prompting.
• Prompt Engineering Daily – Newsletter with tips and prompt ideas.
• Hugging Face Forum – Discussion and sharing around model fine-tuning and prompts.

Applications & Use Cases

• AgentGPT – Autonomous AI agents with prompt-driven tasks.
• Auto-GPT – Experimental AI agent using GPT and prompt chains.
• ChatGPT Plugins – Extend LLM functionality through plugin-based prompting.

Related Awesome Lists

• Awesome ChatGPT
• Awesome LLMOps
• Awesome Generative AI
• Awesome LangChain

Contribute

Contributions are welcome. Please ensure your submission fully follows the requirements outlined in CONTRIBUTING.md, including formatting, scope alignment, and category placement.

Pull requests that do not adhere to the contribution guidelines may be closed.

License