Tutorials

A demo search engine over a catalog of startup descriptions that lets a developer switch between semantic, keyword and hybrid retrieval on the same data, built with Qdrant.

• RAG
• Tutorials

An open, free Chinese-language knowledge base of practical AI tutorials, tools and workflows for beginners, covering AI coding agents, content creation and efficiency workflows, maintained by working AI practitioners.

• Tutorials
• Curated lists

A sequence of runnable notebooks that teaches time-series anomaly detection from simple z-scores up to modern deep learning models, with honest evaluation and real-world case studies.

• Tutorials

The companion code for a Korean-language book on building practical LLM applications, covering transformer architecture, model training and serving, embeddings and retrieval-augmented generation with LlamaIndex.

• Tutorials
• Books

A sample serverless AI agent that uses LangChain.js and the Model Context Protocol to browse a menu, place an order and track status against a burger-ordering API, deployed on Azure Static Web Apps and Functions.

• Agent frameworks
• Tutorials

An openly available handbook covering reinforcement learning from multi-armed bandits through modern policy-gradient and actor-critic methods, with runnable code examples for each chapter.

• Tutorials
• Books

An interactive 3D visualizer that renders a real transformer's forward pass, showing attention heads, RoPE rotations and the residual stream update live as a small model like Qwen2.5-0.5B or a local GGUF file runs.

• Tutorials

The companion code repository for a hands-on LLM engineering course, covering running local models with Ollama and building agentic AI projects.

• Tutorials

A notebook-first course of 26 runnable Jupyter notebooks that builds a modern LLM system from scratch in PyTorch, covering tokenizers, attention, mixture-of-experts, training, RLHF, quantization, speculative decoding, and deployment.

• Tutorials

A step-by-step blog and video series explaining the Transformer architecture, covering tokenization, embeddings, every attention variant, feed-forward layers, and how the encoder and decoder fit together.

• Tutorials

A collection of end-to-end SageMaker notebooks and config-driven recipes covering generative-AI model training, fine-tuning, inference optimization, MLOps automation, distributed training, RAG, and agent-based applications.

• Models
• Tutorials

Chinese-language study notes that walk through the MiniMind LLM codebase line by line, then extend each concept into the wider techniques used across modern large language models.

• Tutorials

A course and project collection of more than 15 autonomous AI agents built with frameworks such as Agno, Microsoft AutoGen, and OpenAI Swarm, covering reasoning, retrieval-augmented generation, multi-agent collaboration, vision, and persistent memory.

• Tutorials
• Curated lists

A 27-chapter, code-first Python tutorial that builds an autonomous AI agent from scratch, covering the agent loop, tools, memory, MCP, and a multi-platform chat gateway.

• Agent frameworks
• Tutorials

Course materials covering chat models, prompt engineering, prompt chaining, retrieval-augmented generation, and agentic workflows applied to cybersecurity operations, with runnable Python examples for each topic.

• Security
• Tutorials

A set of hands-on lab exercises for learning GitHub Copilot, building a Node.js web server, a .NET or Java REST API, and Python data-engineering tasks, plus a series of self-guided challenges for experienced users.

• Tutorials

A Chinese-language, source-code-based tutorial that walks developers through the DeepSeek Harness (dsh) agent framework chapter by chapter, from basic concepts to writing your own plugin.

• Coding agents
• Tutorials

A full-stack tutorial project that builds an AI agent-driven photo editor: a user types a natural-language instruction, the agent plans a sequence of edits, and 21 image-editing tools carry them out on a browser-based layered canvas.

• Generative media
• Tutorials

A step-by-step guide and Docker Compose setup for configuring OpenCode's agentic workflow to work with local Ollama models, including the context-window fix needed to make Ollama's tool-calling actually function.

• Tutorials

A learning project that implements a local knowledge base and retrieval-augmented question answering system with Streamlit, LangChain and Chroma, letting a user upload text files and then chat with answers grounded in that uploaded content.

• RAG
• Tutorials

A tutorial project that builds a multi-agent research assistant: a main agent delegates a task to web search, database and private knowledge base sub-agents, then merges their findings into a Markdown or PDF report streamed over WebSocket.

• RAG
• Tutorials

A hands-on quick-start guide for using the DeepSeek API, covering environment setup, an OpenAI-compatible client, and optional local GPU deployment with CUDA, Miniconda and Jupyter Lab.

• Tutorials

A collection of AWS reference examples and blog posts showing how to build autonomous agent applications on AWS using open-source frameworks such as LangGraph, CrewAI and LlamaIndex, spanning foundation models, orchestration, memory, tools and evaluation.

• Agent frameworks
• Tutorials

A beginner-friendly tutorial that teaches the Jujutsu version control system from scratch, without assuming any prior experience with Git or other version control tools.

• Git
• Tutorials