Tutorials

A hands-on guide, in four notebook sections, to building an AI agent from first principles up to an 'ambient' email assistant connected to the Gmail API, covering agent basics, evaluation, human-in-the-loop review and memory.

• Tutorials

A collection of frequently asked coding interview questions from major internet companies, together with study notes on programming books such as Clean Code and Effective Java.

• Tutorials

A bilingual, open-source knowledge base focused on system architecture rather than code: 26 tutorials, 25 architecture templates and 6 end-to-end case studies covering distributed systems, AI-native systems, retrieval-augmented generation and coding agents.

• Tutorials
• Curated lists

A collection of 68 PyTorch problems drawn from real machine learning and AI engineering interviews at companies such as Google, Meta and Anthropic, worked through in Jupyter notebooks with an optional MCP-based AI tutor that gives progressive hints without the answer.

• Tutorials

Tutorials, demos and example notebooks for building applications on the Milvus vector database, covering retrieval-augmented generation, semantic and hybrid search, recommendation and other unstructured-data search use cases.

• RAG
• Tutorials

The companion code repository for the book AI Agents: The Definitive Guide, with runnable Jupyter notebooks organized by chapter covering agent architectures, planning and reasoning, memory, evaluation, security and production deployment.

• Tutorials
• Books

A free, open Chinese-language course on building production AI agents with LangChain and LangGraph's Deep Agents framework, with 16 chapters of text, video and runnable experiment templates.

• Tutorials

A curated collection of learning resources on generative AI and agentic AI: a roadmap, cheat sheets, notebooks, and interview prep covering core concepts, retrieval-augmented generation, LLM providers, and cloud platform implementations on AWS, Azure and Vertex AI.

• Tutorials
• Curated lists

A free, open-source Chinese-language course on practical AI tooling and workflows, covering coding agents such as Claude Code, Codex and OpenClaw, prompt engineering, retrieval-augmented generation, and generative image, video and voice tools.

• Tutorials

A collection of example iOS and macOS applications and command-line tools built with MLX Swift, showing how to train and run language models, vision-language models and other machine learning workloads on Apple hardware.

• Inference
• Tutorials

A step-by-step tutorial that rebuilds Claude Code's core architecture in about five thousand lines of TypeScript or Python, comparing each piece to the real implementation.

• Coding agents
• Tutorials

A hands-on course that teaches developers to use GitHub Copilot CLI for code review, test generation, debugging, and workflow automation from the terminal.

• Coding agents
• Tutorials

A small, readable coding agent that lives in the terminal, built as a teaching example of how a coding-agent system is put together.

• Coding agents
• Tutorials

A collection of tutorial notebooks from Marktechpost that walk through building agentic AI systems, covering multi-agent orchestration, memory, tool calling, benchmarking, and fine-tuning.

• Tutorials

A Chinese translation and companion notebooks for the book "Hands-On Large Language Models," covering tokenization, embeddings, classification, RAG, and fine-tuning with runnable code.

• Tutorials
• Books

A Chinese translation of the open-source "LLMs-from-scratch" book and code, teaching how to build, pretrain, and fine-tune a GPT-style language model from scratch.

• Tutorials
• Books

A Chinese-language study guide that walks through the internals of the Pi-Agent SDK's architecture and includes a companion agent skill and a worked example for building a data-analysis agent.

• Agent skills
• Tutorials

A collection of sample applications and Jupyter notebooks for getting hands-on with Pinecone vector databases and common AI patterns.

• Tutorials

A practical guide to Claude Code covering setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers, from first use to power-user depth.

• Tutorials

A Chinese-language tutorial and code collection that teaches how to use ChatGPT-style large language model APIs for tasks such as classification, generation, and question answering.

• Tutorials

An educational AI agent microservice designed to be easy to understand and extend, used mainly to teach how AI agents work and to let institutions publish their own agents on the web.

• Agent frameworks
• Tutorials

A six-module open-source course that teaches how to build a production-ready retrieval-augmented-generation AI assistant over a personal knowledge base, using agents, LLMs and LLMOps practice.

• RAG
• Tutorials

An open-source, community-written practical guide to using the WorkBuddy AI assistant, covering installation, real workflows, building custom skills and multi-agent team setups.

• Tutorials
• Books

A cheat sheet of interview questions and answers for AI engineering roles, covering LLM fundamentals, RAG, agents, fine-tuning, and production AI systems.

• Tutorials