Tutorials

A self-paced bootcamp of tutorials and hands-on notebooks covering machine learning foundations, Ollama, large language models, retrieval-augmented generation, LangChain, LangGraph, fine-tuning, DSPy and AI agents built with CrewAI.

• Tutorials

An educational, runnable Python reference implementation of a retrieval-augmented generation pipeline, splitting document loading, chunking, embeddings, FAISS and BM25 hybrid retrieval, reranking and answer generation into readable, replaceable modules.

• RAG
• Tutorials

A community-built collection of study resources and mock practice exams for GitHub Certifications, such as GitHub Foundations and GitHub Advanced Security.

• Tutorials

A 10-week, 30-minutes-a-day roadmap that has an engineer build, instrument and optimize one OpenAI-compatible LLM inference service, covering vLLM, SGLang, quantization, speculative decoding and cost-aware routing.

• Inference
• Tutorials

A Chinese-language full-stack learning roadmap for programmers moving into large-language-model application development, covering prompting, RAG, agents, fine-tuning, deployment, Transformer internals and interview preparation.

• Tutorials

A collection of runnable examples, applications and tutorials for building multimodal AI, retrieval-augmented generation and agent applications with LanceDB, a serverless open-source vector database.

• RAG
• Tutorials

A reference collection documenting how to configure OpenAI's Codex CLI: its commands, subagents, skills, plugins, marketplace, memories and MCP server support.

• Tutorials

A set of over 30 hands-on Jupyter notebook labs that show how to secure, meter and observe large language models, MCP servers and AI agents behind Azure API Management's AI Gateway.

• LLM gateways
• Tutorials

Base LLM is a full-stack Chinese-language course going from traditional NLP foundations, word vectors and RNNs, through the Transformer architecture, to modern LLMs, covering hand-written BERT, GPT and Llama 2, parameter-efficient fine-tuning, RLHF and deployment.

• Tutorials

This is a setup guide combining an Obsidian vault as Claude Code's persistent, Zettelkasten-style memory across sessions with a companion tool, Graphify, that maps a codebase into a knowledge graph, so Claude Code stops re-reading its files every session.

• Agent memory
• Tutorials

Learn Agent Architecture is a section-by-section guide to how the harness around a language model turns reasoning into controlled action: the agent loop, tools, memory, permissions and context, illustrated with real systems such as Claude Code and Hermes Agent.

• Tutorials

AI Agents from Scratch is a 12-lesson, local-first course that builds one AI agent step by step from a single local LLM call, with no frameworks and no cloud APIs, so a developer can see exactly how the loop, tools, memory and planning underneath an agent actually work.

• Tutorials

A from-scratch reimplementation of the vLLM inference engine with self-contained paged and flash attention, built to benchmark attention mechanisms during prefill and decode.

• Inference
• Tutorials

A set of Kotlin programming challenges with tests and multiple worked solutions, intended for practicing coding skills and preparing for technical interviews.

• Tutorials

Agent Memory Techniques is a set of 30 runnable Jupyter notebooks that teach every major approach to memory for LLM agents, from conversation buffers and vector stores through knowledge graphs and systems such as MemGPT, Mem0, Letta, Zep and Graphiti, plus production patterns.

• Agent memory
• Tutorials

A Chinese-language course that has the reader build a Pi-style coding agent from scratch across 15 runnable checkpoints, each pairing course text with a real commit, a focused test and a failure experiment.

• Tutorials

A Simplified Chinese translation of the AI Engineering from Scratch course: 523 lessons across 20 stages covering algorithms, math foundations, LLM applications and agent engineering, in Python, TypeScript, Rust and Julia, with a companion Chinese site and narrated videos.

• Tutorials

A companion code repository for a paid Chinese-language book and course on engineering practices with Claude Code, with a runnable project for each lecture covering memory, subagents, hooks, MCP and SDK usage.

• Tutorials

A course and full source code for building a smaller version of vLLM from scratch in C++ and CUDA, covering model loading, CUDA kernels, KV caching, batching and PagedAttention.

• Inference
• Tutorials

A collection of more than 80 runnable Python examples for building autonomous AI agents and multi-agent systems with uAgents, ASI:One, Agentverse, MCP, A2A, LangChain, CrewAI and other frameworks.

• Agent frameworks
• Tutorials

A collection of AI agent projects, framework tutorials and integrations, covering AutoGen, CrewAI, PydanticAI, Smolagents and the OpenAI Agents SDK, used as the code hub for a YouTube channel.

• Tutorials

A small, standalone, readable implementation of a coding agent loop in Python, written to explain the core components that make up a coding-agent harness.

• Coding agents
• Tutorials

A native iOS and macOS workbench for learning, testing and shipping with Apple's Foundation Models framework, combining editable prompt recipes, guided labs and run inspection in one app.

• Mobile
• Tutorials

Example Model Context Protocol servers and clients in five languages, written as companion code for the official MCP server and client tutorials.

• MCP servers
• Tutorials