Tutorials

A hands-on repository of projects and code examples for building multi-agent systems, RAG pipelines and automated workflows with LangGraph, AutoGen, MCP, n8n and related tools.

• Tutorials

Companion source code for a conference talk about how to build AI coding agents.

• Tutorials

A Chinese-language tutorial project that teaches AI development on Spring Boot 3 and Spring AI by building a chat application and a ReAct-style autonomous planning agent called YuManus.

• Tutorials

A step-by-step, chapter-based tutorial that builds an AI coding agent from scratch in TypeScript, covering the agent loop, tools, file editing, context, permissions, subagents and streaming.

• Tutorials

A self-paced, sixteen-week course that takes a learner from a first Windows Server logon through building, attacking and hardening a full enterprise Windows environment on a lab domain.

• Security
• Tutorials

A guide to running large language models on local hardware using frameworks such as llama.cpp, Ollama, Hugging Face Transformers, vLLM and LM Studio, with setup steps and performance notes.

• Tutorials

A hands-on workshop that teaches how to build AI-infused applications with Quarkus and LangChain4j, covering both single AI service calls and agentic orchestration.

• Tutorials

A chapter-by-chapter playbook on turning an AI demo into a dependable product, using a single running example, an academic research assistant, to make model selection, evaluation and architecture decisions concrete.

• Tutorials
• Books

A Jupyter-based tutorial teaching Python code generation for numerical relativity, using the symbolic-math library SymPy to derive and emit optimized C code for solving Einstein's equations.

• Tutorials

A collection of Jupyter notebooks covering agentic AI, multi-agent orchestration, world models and domain-specific LLM fine-tuning, published alongside dozens of models on Hugging Face.

• Tutorials

A Chinese-language tutorial that builds a Text2SQL agent from scratch, covering state-graph orchestration, dual retrieval-augmented generation, human-in-the-loop confirmation and automatic SQL correction.

• Tutorials

A minimal FastAPI backend that demonstrates retrieval-augmented generation with vector similarity search, built for learning and for wiring into a frontend.

• RAG
• Tutorials

An example internal AI chatbot, built for a fictional investment research firm, that lets analysts query a corpus of financial filings in plain English and get sourced answers.

• RAG
• Tutorials

An introductory Chinese-language course on data and AI fundamentals, teaching how to build AI agents from a data-driven perspective through two parallel learning tracks.

• Tutorials

A GitHub Skills hands-on exercise that teaches agent orchestration by using custom agents in GitHub Copilot CLI to plan, design, build, and validate a small dashboard.

• Tutorials

A single-file, dependency-free Julia port of Karpathy's microgpt that trains and runs a small GPT model from scratch, written to explore Julia's numerical performance.

• Models
• Tutorials

A cookbook repository of integration patterns for combining several AI APIs, such as GPT, Claude, Gemini, Sora, Suno, DeepSeek, and Kimi, into one workflow rather than calling a single model.

• Tutorials

A from-scratch large language model stack, covering the model, an instruction set, a compiler, a simulator, and a GPU design, built small enough for one person to read end to end.

• Models
• Tutorials

A journal of case studies documenting prompt-engineering experiments for the MiniMax H3 video model, recording what failed and which final prompts worked.

• Generative media
• Tutorials

A worked tutorial that trains a multilayer perceptron neural network in PHP to classify movie review sentiment, using the Rubix ML library and 25,000 labeled IMDB reviews.

• Tutorials

A command-line tool that fetches Learn X in Y Minutes programming tutorials and browses them in the terminal, with an offline cache and fuzzy search.

• CLI tools
• Tutorials

A Chinese self-study path for LLMs that hand-implements a transformer in native PyTorch and runs pretraining, SFT, LoRA, DPO and GRPO on a single consumer GPU, then covers an industrial fine-tuning framework, agent engineering and a RAG system.

• Tutorials

A Chinese-language collection of practical notes, benchmark tables and released training code for building domain-specific large language models, covering small reasoning models, SFT and DPO data pipelines, and multi-round SFT-then-DPO training on large GPU clusters.

• Tutorials

A set of Jupyter notebook tutorials for PyPOTS, a Python toolbox for modeling partially observed, incomplete time series data.

• Data engineering
• Tutorials