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WalkingLab is an open-source AI lab exploring the future of intelligent systems, including agentic AI, LLM systems, reinforcement learning (RL), and embodied intelligence .
Our mission is to make frontier AI accessible to everyone — enabling more people to understand, build, and create intelligent systems through open-source projects, hands-on tutorials, and reproducible experiments.
We believe everyone can teach machines how to think .
If you are interested in agents, RL, LLM systems, embodied intelligence, or next-generation AI infrastructure , welcome to explore and build with WalkingLabs.
中文介绍
WalkingLab 是一个探索下一代智能系统的开源 AI 实验室，关注 Agentic AI、智能体系统（Agents）、大语言模型系统（LLM Systems）、强化学习（RL）与具身智能（Embodied Intelligence） 等前沿方向。
我们相信，人工智能的未来不应该只属于少数人。
WalkingLab 致力于让最前沿的人工智能知识向每个人开放，让更多人能够理解、实现并创造智能系统。
我们相信：每个人，都能教会机器思考。
我们通过开源项目、实践教程与可复现实验，将前沿智能研究转化为人人可探索、可构建的技术实践。
Agentic AI ：面向复杂任务的自主智能体架构、规划与执行系统LLM Systems ：大语言模型训练、推理、评估与基础设施Reinforcement Learning ：强化学习与智能体能力优化Multi-Agent Systems ：多智能体协作、通信与任务编排机制Embodied Intelligence ：连接感知、行动与世界模型的新一代智能系统Open Source AI ：开放代码、教程与实验，共建下一代智能系统
我们希望建立一个开放、严谨、长期主义的技术空间，让学习者从理解前沿，到亲手构建，再到独立创造。
如果你关注 Agent、RL、LLM Systems、Embodied Intelligence 或下一代 AI 基础设施，欢迎加入 WalkingLabs，一起探索与构建。
欢迎加入 WalkingLabs Discord 社区：
https://discord.gg/z3Kc9542zF
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Welcome to the WalkingLabs homepage repo!
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🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
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A hands-on course on modern LLM architectures, training, and inference, with step-by-step PyTorch implementations and runnable notebooks.
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university-skill
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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.
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hands-on-world-models
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Build world models from scratch — from perception and latent dynamics to planning, JEPA, VLA, and 3D/4D intelligence.
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