⬢github Jupyter Notebook · 41.1K ★ +1.4K since we first saw it · pushed 5 d ago · MIT
patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A curated collection of 90+ hands-on Jupyter notebook tutorials for AI engineering, covering LLMs, RAG pipelines, and real-world agent applications. Projects are organized by difficulty from beginner OCR apps and simple RAG to advanced fine-tuning and production systems, so learners can build skills progressively.
Why now: Trending heavily on GitHub with nearly 40k stars, driven by frequent additions of tutorials on hot topics like local OCR, reasoning UIs, MCP, and new open models.
Who it is for: Developers, data scientists, and beginners who want practical, runnable examples for building LLM, RAG, and agent applications.
agentsaillmsmachine-learningmcprag
Stars over our 375 snapshots: 39.7K to 41.1K, since 5 d ago.
Where people talked about it
- ⬢github patchy631/ai-engineering-hub 4 d ago
API: https://socialmediatrends-api.osmike.com/v1/repos/patchy631/ai-engineering-hub