walkinglab

Harness engineering beginner tutorial, from 0 to 1

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

A hands-on course on modern LLM architectures, training, and inference, with step-by-step PyTorch implementations and runnable notebooks.

A curated directory of source-verified DeepSeek Harness (DSH) plugins, tools, design workflows, and official resources.

Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.

把一位大学教授装进你的 AI，把任何主题变成一堂真正的大学课。Put a university professor in your AI. Turn any topic into a real university lecture.

Build world models from scratch — from perception and latent dynamics to planning, JEPA, VLA, and 3D/4D intelligence.

Welcome to the WalkingLabs homepage repo!

From-scratch tiny LLM training & inference engine for AMD ROCm/HIP GPUs — pure C++/HIP, PyTorch performance