Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
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Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
🧠 Train a 64M-parameter LLM from scratch in just 2h!
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
A straightforward method for training your LLM, from downloading data to generating text.
Translated🔍 Hands-on LLM Application Development, Part 1: A Full-Stack Guide to RAG Technology. Read online at: https://datawhalechina.github.io/all-in-rag/
Pocket Flow: Codebase to Tutorial
👀 Train a 65M-parameter VLM from scratch in just 2h!
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.
Examples and tutorials to help developers build AI systems
A ~9M parameter LLM that talks like a small fish.
Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.
TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex
TranslatedBuild GPT-2 from scratch in PyTorch, step by step
TranslatedLine-by-line source code analysis of Nano vLLM