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In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Implementation of all RAG techniques in a simpler way, focusing on educational and modifiable code.

Open-source framework for evaluating and testing AI and LLM systems for performance, bias, and security issues.

Awesome-RAG-VIsion is a curated repository of advanced retrieval augmented generation techniques for Computer Vision.

Open source multi-modal RAG for building AI apps over private knowledge.

A collection of 500+ real-world ML & LLM system design case studies from 100+ companies.

A repository for practical notes on building applications using LLM.

A tutorial project for beginners on large model application development, integrating practical skills and theoretical knowledge.