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Prompt Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts
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Prompt Engineering Techniques: Comprehensive Repository for Development and Implementation 🖋️
Welcome to one of the most extensive and dynamic collections of Prompt Engineering tutorials and implementations available today. This repository serves as a comprehensive resource for learning, building, and sharing prompt engineering techniques, ranging from basic concepts to advanced strategies for leveraging large language models.
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22 hands-on tutorials covering everything from basic prompt templates to advanced techniques like chain-of-thought, self-consistency, and tree-of-thought prompting.
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Introduction
Prompt engineering is at the forefront of artificial intelligence, revolutionizing the way we interact with and leverage AI technologies. This repository is designed to guide you through the development journey, from basic prompt structures to advanced, cutting-edge techniques.
Our goal is to provide a valuable resource for everyone - from beginners taking their first steps in AI to seasoned practitioners pushing the boundaries of what's possible. By offering a range of examples from foundational to complex, we aim to facilitate learning, experimentation, and innovation in the rapidly evolving field of prompt engineering.
Don't lose this
Three weeks from now, you'll want Prompt Engineering again. Will you remember where to find it?
Save it to your library and the next time you need Prompt Engineering, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
Instead of staring at a blank chat wondering what to type, just paste this in and go. 22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts. You can tweak the parts in brackets to make it yours. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, copy the prompt, paste it into any AI chat, and replace anything in [brackets] with your own details. Hit send — that's it.
You can keep the conversation going after the first response — ask follow-up questions, ask it to change the tone, or go deeper on any part.
What's New
Imported from GitHub
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