Tutorials

This project documents, step by step, how to assemble a self-hosted local LLM stack from open-source components: a chat interface, document embedding, a vector database, web search and several MCP servers.

• Tutorials

A demo project that packages a self-hosted LLM chat interface, running Qwen2-1.5B-Instruct or another Hugging Face model behind vLLM with a Streamlit front end, into a single Docker container deployable locally or on an AWS GPU instance.

• Inference
• Tutorials

A Tour of Agents is an interactive, in-browser course that builds an AI agent from scratch in about sixty lines of plain Python across nine lessons, showing what agent frameworks do under the hood.

• Tutorials

A 21-day, day-by-day curriculum teaching DevOps engineers to apply large language models and generative AI to their work, covering LLM fundamentals, prompt engineering, RAG, CI/CD, Kubernetes and building production-style AI-assisted projects.

• Tutorials

An end-to-end LLM toolkit that runs entirely on one consumer NVIDIA GPU, taking a user from environment diagnosis through pretraining, fine-tuning, evaluation, GGUF export and a self-contained benchmark report.

• Models
• Tutorials

Companion study material for a book preparing readers for the NVIDIA NCP-AAI agentic AI certification, with chapter text, quizzes, practice exams, slides, labs and mappings to several other AI certifications.

• Tutorials
• Books

A step-by-step guide, with an automated installer script, for running the DeepSeek R1 model offline on a rooted Android phone using Termux, Arch Linux and Ollama.

• Inference
• Tutorials

Course material and a working proof-of-concept for an O'Reilly live training that prepares learners for Microsoft's AB-100 agentic AI certification exam, plus a Copilot agent that generates practice questions.

• Tutorials

Reference implementations from Vector Institute's RAG bootcamp that show common retrieval-augmented generation methodologies over web, document, SQL and cloud data sources using LangChain and LlamaIndex.

• RAG
• Tutorials

A browser-only demo that runs Google's EmbeddingGemma model through Transformers.js to rank a set of documents against a search query by semantic similarity, with no server and no data leaving the device.

• RAG
• Tutorials

Course code and notebooks for two O'Reilly live training programs covering agentic RAG, MCP, multi-agent orchestration, long-term memory and evaluation of production AI systems.

• Tutorials

The lab materials for a university course on large language models for software engineering, covering transformer foundations and their application to prompt engineering, RAG and code-review tasks.

• Tutorials

Setup instructions for a hands-on GitHub Copilot training course, configuring a GitHub Codespaces environment used to run the course's labs.

• Tutorials

A practitioner's guide to Claude Code covering setup, CLAUDE.md, permissions, skills, hooks, sub-agents and MCP servers, with interactive terminal demos on every page.

• Tutorials
• Books

A minimal, hand-written LLM inference engine for the MiniCPM5-1B model, built in Rust to study how transformer inference works, with a terminal UI that visualizes generation as it happens.

• Inference
• Tutorials

A set of retrieval-augmented-generation demos that run entirely offline on CPU with quantized open models such as DeepSeek, Llama, Qwen, Mistral and Gemma.

• RAG
• Tutorials

A two-part course introducing how large language models work, how they can be trained, and how to use them for scientific research, with slides and hands-on notebooks.

• Tutorials

A free, French-language series of 22 notebook-based chapters that build a language model entirely by hand, from basic vector arithmetic through attention, the transformer architecture, and a reasoning agent.

• Tutorials

A Korean-language collection of guides, tutorials and hands-on labs that teach running local LLMs, building retrieval-augmented AI over personal documents, using AI coding agents responsibly, and designing agent skills, MCP tools and context engineering.

• Tutorials

Notebook code for building production-oriented retrieval-augmented generation systems with LangGraph orchestration and local Ollama models, aimed at keeping document data and inference on the developer's own machine.

• RAG
• Tutorials

A community-maintained knowledge base of articles covering the JavaScript stack for frontend, backend, mobile and DevOps development, published from a GitHub repository to the PurpleSchool site weekly.

• Tutorials

The companion source repository for the Packt book "LLVM Code Generation", offering a chapter-by-chapter, tag-marked implementation of an LLVM backend built from scratch on top of the LLVM 20.1.1 release.

• Tutorials

A personal collection of more than 20 hands-on generative AI projects covering chatbots, retrieval-augmented generation, model fine-tuning and multi-agent systems, built while following a course.

• Tutorials

A 52-file practical guide to AI covering running a first local model, retrieval-augmented generation, prompt engineering and building AI agents, organized from beginner to advanced.

• Tutorials
• Books