Tutorials

A collection of more than 45 tips for using Claude Code, from basic slash commands to advanced workflows such as git worktrees, containerized self-hosting and a custom status line, plus a dx plugin of everyday developer skills.

• Tutorials

A collection of example Jupyter notebooks demonstrating how to build, train and deploy machine learning models on Amazon SageMaker, maintained alongside the newer SageMaker-Core Python SDK.

• Tutorials

A hands-on tutorial and codebase that implements a transformer language model from scratch in plain PyTorch, walking from raw text through pretraining to a fine-tuned, reasoning-style chat model.

• Models
• Tutorials

A full-stack, hands-on tutorial on retrieval-augmented generation for large-model application developers, covering data preparation, index construction, advanced retrieval, generation and evaluation.

• RAG
• Tutorials

A collection of PyTorch Jupyter notebook demos showing how to use Hugging Face's Transformers library across many model architectures, from BERT and DETR to CLIPSeg, DPT and Donut.

• Tutorials

A tutorial project that builds an AI agent to crawl a GitHub repository, identify its core abstractions, and generate a beginner-friendly tutorial explaining how the code works.

• Tutorials

A Chinese-language, hands-on tutorial that teaches beginner developers to build large language model applications, from calling LLM APIs through building a knowledge-base RAG assistant to iterative evaluation.

• Tutorials

A personal, community-sourced collection of study notes and real interview questions about large language models, covering fundamentals, architecture, training, fine-tuning, inference, RLHF, retrieval-augmented generation and evaluation.

• Tutorials
• Books

A curated collection of 132 example projects, tutorials and recipes for building LLM-powered applications, covering starter agents, voice agents, MCP-backed tools, memory agents, RAG applications and fine-tuning across many agent frameworks.

• Tutorials
• Curated lists

A Chinese-language knowledge base and hands-on guide to embodied AI, walking newcomers through a robot-manipulation project on the RoboTwin 2.0 simulation platform alongside an encyclopedia of the field's techniques.

• Tutorials
• Curated lists

A project-based course on building the environment, state management, verification and control mechanisms that make AI coding agent harnesses work reliably.

• Tutorials

A Chinese-language guide to "vibe coding", describing a standard workflow of prompts, skills, context management and quality gates for pairing with an AI coding agent from an idea to a finished product.

• Tutorials

An open-source curriculum that teaches the fundamentals of the Model Context Protocol through hands-on, cross-language code examples in C#, Java, TypeScript, JavaScript, Rust and Python.

• MCP servers
• Tutorials

A collection of notebooks, code samples and sample applications showing how to build and manage generative AI workflows on Google Cloud, covering the Gemini models, retrieval-augmented generation, search, vision and audio.

• Tutorials

A curated collection of resources for learning data structures and algorithms and preparing for coding interviews, including patterns, problem sets and video playlists.

• Tutorials
• Curated lists

A collection of tutorials and practical examples for the Gemini API, organized into step-by-step quick starts and worked examples that combine multiple API features.

• Tutorials

An example fullstack application that pairs a React frontend with a LangGraph-powered research agent, showing how to build a conversational AI that generates search queries, searches the web, and answers with citations.

• Tutorials

An official guide and set of recipes for building with Meta's Llama model family, covering getting started with inference, fine-tuning and retrieval-augmented generation, plus end-to-end use cases across model providers.

• Tutorials

An interactive, beginner tutorial that teaches AI-native "vibe coding", building software by describing what is wanted, through step-by-step visual lessons, a simulated coding environment and hands-on exercises, translated into ten languages.

• Tutorials

A free knowledge hub about AI tools for programmers, with product introductions, usage guides, reviews, tips, application examples, monetization advice, industry news and a beginner course on building software by describing it to an AI.

• Tutorials
• Curated lists

A book companion repository with code, case studies and libraries for building, testing and deploying machine learning-based trading strategies, from data sourcing through live execution.

• Tutorials
• Books

A collection of code-first tutorials for building production-grade generative AI agents, covering topics from stateful workflows and vector memory to deployment, security and observability.

• Tutorials

Jupyter notebook examples and best practices for building, evaluating and productionizing recommendation systems, maintained under the Linux Foundation.

• Tutorials

A Chinese-language collection of tutorials and hands-on notes on large language model engineering, covering training, inference, compression, evaluation and deployment techniques.

• Tutorials