Tutorials

A personal, ever-growing knowledge base of code snippets, technical documentation, and command references for a wide range of IT and homelab tools and technologies.

• Tutorials
• Curated lists

A continuously updated Chinese-language tutorial series that walks through building AI agents from the ground up to enterprise deployment, covering LangChain, LangGraph, Coze, Dify, MCP and RAG.

• Tutorials

A hands-on beginner's guide that walks programmers with no AI background through training a convolutional neural network to classify dolphin and seahorse images using Caffe and DIGITS.

• Tutorials

A 3D interactive visualization of a GPT-style large language model network running inference, showing a small trained model sorting letters and rendering larger networks such as GPT-2.

• Tutorials

A research report on AI agent source code, distributed as downloadable PDFs, alongside a small teaching project that demonstrates how a minimal Python agent's core loop, tool skills and CLI fit together.

• Tutorials
• Books

A hands-on workshop that teaches developers to build a coding agent in Go, one step at a time, starting from a basic chatbot and adding file reading, command execution and code search.

• Tutorials

A curated collection of coding, system design, and machine learning interview questions from FAANG, frontier AI labs, and AI-first startups, updated for 2025-2026.

• Tutorials
• Curated lists

A large, continuously updated guide connecting Claude Code's documented behavior to engineering decisions, covering agent harness design, security, and team adoption.

• Tutorials
• Books

A Chinese-language, task-based tutorial covering Claude Code, OpenClaw, Codex, and WorkBuddy, teaching each through a small hands-on exercise with prepared materials.

• Tutorials

A curated set of guides for wiring DeepSeek models into popular AI agent and coding-assistant tools, each covering installation, configuration, and first run.

• Tutorials

A six-week, notebook-based course teaching how to code and deploy AI agents using the OpenAI Agents SDK, CrewAI, LangGraph, Google ADK, Pydantic AI, and MCP.

• Tutorials

A curated list of project-based tutorials for learning to code by building applications from scratch, covering web, mobile, and game development plus machine learning.

• Tutorials
• Curated lists

A Chinese-language textbook on large models and agents paired with six progressive programming exercises, from a hand-written Transformer through a coding agent.

• Tutorials
• Books

A trilingual (Traditional Chinese, English, Simplified Chinese) learning roadmap for agentic AI, with more than 240 curated resources and hands-on exercises from LLM basics to multi-agent systems.

• Tutorials

A free, ten-week, hands-on course on building production-ready LLM applications, covering RAG, vector search, embeddings, agents, function calling, evaluation and monitoring.

• Tutorials

A Chinese-language knowledge-sharing project covering large-model interview questions, a chronological history of key papers, and practical courses on agents, RAG and fine-tuning.

• Tutorials

The companion repository for an eight-week Udemy course on mastering LLM engineering, with weekly projects that build progressively deeper hands-on expertise.

• Tutorials

A repository of 22 hands-on Jupyter Notebook tutorials on prompt engineering, from basic templates through chain-of-thought, self-consistency and tree-of-thought prompting.

• Tutorials

A free, multi-module, ten-hour course teaching developers to use GitHub Copilot, including its Agent Mode, for prompting, planning, code generation, testing and iteration.

• Tutorials

A hands-on course that builds a production-grade retrieval-augmented-generation research assistant from scratch, called the arXiv Paper Curator, teaching keyword search first and then hybrid and agentic retrieval.

• RAG
• Tutorials

A collection of standalone examples for Apple's MLX machine-learning framework, covering text, image, video, audio and multimodal models such as LLaMA, Mistral, Stable Diffusion, Whisper and CLIP.

• Tutorials

A Chinese-language beginner's tutorial for building applications with the LangChain framework, covering model calls, prompt management, document loaders, indexing and chains.

• Tutorials

A growing collection of computer-vision tutorials covering state-of-the-art models such as YOLO, SAM, Florence-2, PaliGemma and Qwen-VL, for tasks from object detection to OCR, runnable in Colab, Kaggle or SageMaker Studio Lab.

• Tutorials

A Chinese-language, systematic learning guide for AI agent engineering and research, modeled on JavaGuide, covering agent systems, context engineering, RAG, evaluation and reinforcement learning post-training, oriented toward interview preparation.

• Tutorials