Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

A model-driven approach to building AI agents in just a few lines of code.

A framework for agentic tool use training with reinforcement learning

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

A list of AI autonomous agents

The LLM Evaluation Framework

Contexts Optical Compression

Get your documents ready for gen AI

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

Empowering RAG with a memory-based data interface for all-purpose applications!

DigitalPlat FreeDomain: Free Domain For Everyone

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…

All Algorithms implemented in Python

"RAG-Anything: All-in-One RAG Framework"

Linux kernel source tree

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

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

https://huyenchip.com/ml-interviews-book/