Tutorials

A sample Azure solution that deploys a web-based chat application backed by Microsoft Foundry's Agent Service, using file search over uploaded documents for cited, retrieval-grounded answers with built-in monitoring.

• Tutorials

A hands-on tutorial that builds a ChatGPT-style language model in PyTorch step by step, covering tokenization, embeddings, attention, and the transformer block through interactive notebooks.

• Tutorials

A collection of example projects for self-hosting Stable Diffusion family models as HTTP services with BentoML, covering image and video generation from text prompts.

• Generative media
• Tutorials

A hands-on, open-source guide to building practical AI applications with open-source models, covering model selection, inference, fine-tuning, evaluation, and retrieval-augmented and agent workflows.

• Tutorials

A collection of example projects and reference architectures showing how to build AI agent workflows with Swytchcode, including LangGraph, OpenAI Agents SDK, and Vercel AI SDK integrations for tasks like onboarding, payments, and issue triage.

• Tutorials

Course materials and code for a Chinese-language course covering Python, LangChain, LangGraph, and AI-assisted coding, published as a documentation site alongside video lectures.

• Tutorials

Hand-written PyTorch implementations of modern open-source LLM architectures such as Llama, Qwen, DeepSeek and Gemma, built one model at a time for clarity and learning rather than production use.

• Models
• Tutorials

An e-commerce data-warehouse question-answering agent built as a teaching project for learning LangGraph, combining a metadata knowledge base, hybrid retrieval, and staged natural-language-to-SQL generation with execution and streaming results.

• RAG
• Tutorials

The companion repository for a four-week course on deploying generative and agentic AI at scale, organized week by week with guides and space for students to share their own deployed projects.

• Tutorials

A curated, evolving guide to building production-ready AI agents and multi-agent systems, covering foundations, frameworks, system design patterns, real-world use cases and interview preparation.

• Tutorials
• Curated lists

A curated, browsable collection of learning resources covering generative AI, machine learning, agentic AI, retrieval-augmented generation, fine-tuning and MLOps.

• Tutorials
• Curated lists

A collection of official and community sample apps, model recipes and utilities for LiteRT, Google's on-device machine learning framework formerly known as TensorFlow Lite, and LiteRT-LM, its layer for running language models on-device.

• Inference
• Tutorials

Learn Anything generates skill and slash-command files for more than 30 AI coding tools, turning a coding assistant into an interactive tutor with Socratic explanations, TDD-style exercises, spaced repetition and a knowledge dashboard.

• Agent skills
• Tutorials

Dive into LangGraph is an open-source tutorial and Claude Code Agent Skill that teaches LangGraph and LangChain by building a ReAct agent through 14 chapters covering state graphs, middleware, memory and MCP.

• Tutorials

A complete pipeline that trains a tiny decoder-only Transformer, from a randomly initialized tokenizer and model, on a person's own iMessage history, entirely on a Mac, to learn their phrasing and common replies.

• Models
• Tutorials

An open-source course that builds a Claude Code-style coding agent from scratch in Python, covering the tool-calling loop, permissions, sandboxing, memory, session recording and a subagent fan-out.

• Coding agents
• Tutorials

This repository publishes the paired coding exercises the Guardian newspaper's engineering recruitment process uses, so developers preparing for an interview can see the actual exercises and how they are run.

• Tutorials

A hands-on workshop repository that builds a two-agent AI system, a deep-research agent and a writing workflow, each served as an MCP server and connected to a coding-agent harness such as Claude Code or Cursor.

• Tutorials

A Chinese-language agent-engineering tutorial site for programmers, covering agent frameworks, coding-agent internals and production deployment, alongside a downloadable book of nearly 800 Agent interview questions for Chinese tech-company recruiting.

• Tutorials

A Chinese-language practical guide to ten mainstream AI coding tools, with 66 Claude Code tips, tool-specific best practices, prompt-engineering methodology and copyable configuration templates.

• Tutorials

A practical, opinionated handbook for building, evaluating, securing and shipping LLM agent systems, with templates, provider adapters, a skills catalog, coding-agent workflows and a curated catalog of existing agent projects.

• Tutorials
• Books

A collection of example LLM projects built with Ollama's open-source models, covering retrieval-augmented generation, agent tooling and protocols, multi-agent systems, voice and vision use cases.

• Tutorials

Companion notebooks, reading notes and project files for a DeepLearning.AI short course that teaches Claude Code through examples covering a RAG chatbot, e-commerce data analysis and a Figma-to-app build.

• Tutorials

A bilingual collection of machine-learning, LLM, diffusion and agent interview cheat sheets for Chinese AI campus recruiting, auto-generated by the ARIS research-automation project, plus a CV-to-academic-homepage generator.

• Tutorials