Tutorials

A collection of ready-to-run Jupyter notebooks that teach developers how to use the OpenVINO Toolkit for optimized deep-learning inference.

• Tutorials

A twelve-chapter interactive textbook that teaches readers to build, train and run a modern transformer-based language model entirely from scratch, with every line of code explained.

• Tutorials
• Books

An unofficial Chinese-language guide to using ChatGPT Work and Codex in real development and creative work, from installation through workflow and case studies.

• Tutorials
• Books

A three-part course, hosted as a GitHub repository, that teaches people how to build agents with Microsoft Copilot Studio.

• Tutorials

A Chinese-language practical guide to using OpenAI Codex, covering setup across its CLI, desktop app, IDE extension, and cloud, plus workflows for real projects.

• Tutorials

The complete materials for the book Agentic Design Patterns by Antonio Gulli, covering 21 chapters and 7 appendices on building AI agent systems, with accompanying code notebooks for hands-on learning.

• Tutorials
• Books

A self-directed learning drill of methods, processes and systems for AI and data engineering, covering a path from foundational tools through machine learning, large language models, retrieval-augmented generation, fine-tuning and autonomous agents.

• Tutorials

A curated collection of practical, complete AI project examples spanning OCR, retrieval-augmented generation, multi-agent systems and other AI use cases, with full code and setup instructions for each.

• Tutorials

A Chinese translation of the book Build a Large Language Model (From Scratch), covering how GPT-style large language models are designed, trained and applied, together with its accompanying practice code.

• Tutorials
• Books

A free course teaching how to apply Transformers to natural language processing and other tasks using the Hugging Face ecosystem, including its Transformers, Datasets, Tokenizers and Accelerate libraries.

• Tutorials

A hands-on notebook series that teaches Retrieval-Augmented Generation from an introductory setup through advanced techniques such as multi-querying, logical and semantic routing, and custom RAG pipeline construction.

• RAG
• Tutorials

A collection of reference workflows, tutorials and sample applications for building generative-AI systems, such as retrieval-augmented generation pipelines and agentic workflows, optimized for NVIDIA's accelerated software stack.

• Tutorials

A modular Agentic RAG tutorial and project template built with LangGraph, demonstrating hierarchical retrieval, conversation memory, query clarification and multi-agent orchestration for retrieval-augmented generation.

• RAG
• Tutorials

MongoDB's collection of example notebooks, sample applications and workshops covering retrieval-augmented generation, AI agents and industry-specific generative-AI use cases, with MongoDB acting as vector store, operational database and memory provider.

• Tutorials

A collection of technical resources, including complete example applications, that help developers build AI applications, agents and systems using Oracle AI Database and Oracle Cloud Infrastructure services.

• Tutorials

A Chinese-language, hands-on tutorial that builds large language models from scratch, starting from a GPT-style model and extending into architecture walkthroughs of GLM4, Llama3 and RWKV6.

• Tutorials

An open, still-evolving curriculum that bridges basic reinforcement-learning concepts to LLM alignment, RLVR and agentic RL, with reproducible experiment code and browser-runnable training notebooks.

• Tutorials

A Python library and runnable textbook packaging 35 production-grade agentic AI patterns, such as Reflexion, LATS, GraphRAG and MemGPT, each with an executed notebook, multi-provider support and a shared benchmark leaderboard.

• Agent frameworks
• Tutorials

A Chinese-language PyTorch tutorial, in a second edition, covering PyTorch fundamentals, computer vision, NLP and large-model applications, plus inference deployment with ONNX and TensorRT and companion example code.

• Tutorials

A community-written reference guide to Claude Code covering setup, configuration, commands, keyboard shortcuts, MCP integration, sub agents, skills, hooks, security settings and troubleshooting.

• Tutorials
• Books

A Chinese-language interview-preparation resource for AIGC, LLM and AI Agent engineering roles, covering deep learning, computer vision, NLP, math fundamentals, coding practice and career-planning guidance.

• Tutorials
• Books

A VIP cheatsheet summarizing Stanford's CME 295 course on Transformers and Large Language Models, covering self-attention, fine-tuning methods, distributed training and applications such as AI agents.

• Tutorials
• Books

A hands-on course for systems engineers that builds a small LLM inference and serving stack from scratch on Apple Silicon, following a Qwen3 model from array operations through a miniature vLLM.

• Tutorials

A hands-on tutorial repository that teaches how AI agents work by building them from first principles with local LLMs, covering prompt and response cycles, tool use, memory and ReAct-style reasoning.

• Tutorials