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Ai Engineering Hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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About
AI Engineering Hub π
Welcome to the AI Engineering Hub - your comprehensive resource for learning and building with AI!
π Why This Repo?
AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:
- 93+ Production-Ready Projects across all skill levels
- In-depth tutorials on LLMs, RAG, Agents, and more
- Real-world AI agent applications
- Examples to implement, adapt, and scale in your projects
Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.
π Table of Contents
- Getting Started
- Newsletter
- Projects by Difficulty
- Beginner Projects (22)
- Intermediate Projects (48)
- Advanced Projects (23)
- Contributing
- License
π― Getting Started
New to AI Engineering? Start here:
- 1.Complete Beginners: Check out the AI Engineering Roadmap for a comprehensive learning path
- 2.Learn the Basics: Start with Beginner Projects like OCR apps and simple RAG implementations
- 3.Build Your Skills: Move to Intermediate Projects with agents and complex workflows
- 4.Master Advanced Concepts: Tackle Advanced Projects including fine-tuning and production systems
π¬ Stay Updated with Our Newsletter!
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π Projects by Difficulty
π’ Beginner Projects
Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.
#### OCR & Vision
- **LaTeX OCR with Llama** - Convert LaTeX equation images to code using Llama 3.2 vision
- **Llama OCR** - 100% local OCR app with Llama 3.2 and Streamlit
- **Gemma-3 OCR** - Local OCR with structured text extraction using Gemma-3
- **Qwen 2.5 OCR** - Text extraction using Qwen 2.5 VL model
Don't lose this
Three weeks from now, you'll want Ai Engineering Hub again. Will you remember where to find it?
Save it to your library and the next time you need Ai Engineering Hub, itβs one tap away β 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.
β‘ Pro tip for geeks: add a-gnt π€΅π»ββοΈ as a custom connector in Claude or a custom GPT in ChatGPT β one click and your library is right there in the chat. Or, if youβre in an editor, install the a-gnt MCP server and say βuse my [bench name]β in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. In-depth tutorials on LLMs, RAGs and real-world AI agent applications. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog β worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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