Tutorials

Conway's Game of Life implemented to run directly from a 512-byte x86 boot sector in assembly, using VGA memory itself as the simulation grid.

• Tutorials

A technical blog post deriving the Y combinator as a composition of combinator birds in an array language, and examining how eager evaluation changes fixed-point recursion compared with the usual lazy telling.

• Tutorials

A free reference of worked system design problems with interactive architecture diagrams, covering ranked designs such as a feed, a chat app, a URL shortener, and a rate limiter, plus pages on the technologies behind them.

• Tutorials

A technical article showing how to call TypeSafe.ai's Jev decision model from a TanStack Start server route through TanStack AI's Vercel AI Gateway adapter to build a typed routing endpoint.

• Tutorials

A hands-on, notebook-first repository that builds six retrieval-augmented-generation architectures step by step with LangChain and LangGraph, from a simple retrieve-then-generate pipeline up to self-correcting, agentic and multimodal systems.

• RAG
• Tutorials

A four-month, hands-on study roadmap for generative AI engineering, moving through large-language-model fundamentals, prompt engineering, retrieval-augmented generation, AI agents and tool calling toward production deployment.

• Tutorials

A full-workflow tutorial and toolchain for training vision, hearing and smell AI algorithms and deploying them, as packaged algorithm modules, onto a specific edge AI platform.

• Models
• Tutorials

A full-stack, educational retrieval-augmented-generation demo: upload a PDF, the FastAPI backend chunks and embeds it into a per-session FAISS index, and a React app streams LLM answers grounded in the retrieved passages.

• RAG
• Tutorials

A collection of short, open-source guides and tutorials on AI agents, generative AI and machine learning, covering Python, TypeScript, MCP servers and clients, and Ollama integration.

• Tutorials

Hands-on notebooks that teach the pose-format Python library end to end, from extracting landmarks with MediaPipe to normalizing, augmenting and visualizing pose data.

• Tutorials

The companion repository for a Udemy course on outlier detection, with lecture notebooks plus reusable Python utilities, tests, exercises and benchmarks.

• Tutorials

An open-source study guide of more than 60 pages covering agentic AI from LLM foundations through production system design, framework walkthroughs and an interview question bank.

• Tutorials

A beginner-to-advanced course that teaches the Model Context Protocol by building MCP servers and clients from scratch in Python, and deploying them locally and remotely.

• MCP servers
• Tutorials

A step-by-step tutorial notebook for fine-tuning the Qwen2.5-VL-7B vision-language model with Hugging Face TRL for visual question answering on the ChartQA dataset.

• Tutorials

A list of machine learning and data science tutorials with full implementation code, covering topics such as time-series forecasting, LoRA fine-tuning, GPU kernel design, document parsing pipelines and vector search.

• Tutorials

A Chinese-language comparison guide to AI agent orchestration frameworks — Scion, AutoGen, CrewAI, LangGraph, MetaGPT, Swarms, Dify and Coze — with architecture analysis, code examples and a framework-selection decision tree.

• Agent frameworks
• Tutorials

Field notes recording how to cross-compile and deploy llama.cpp GPU inference on an NVIDIA DRIVE Thor automotive domain controller, including a troubleshooting guide and measured throughput at each optimization step.

• Inference
• Tutorials

A free ebook that teaches .NET developers to build production AI-powered applications in C#, pairing each chapter's markdown lesson with a runnable .NET project and unit tests, without Python or notebooks.

• Tutorials
• Books

A starter repository for a Knight Center course on advanced prompt engineering for journalists, giving students a working Claude Code workspace with worked examples of context files, memory, skills, commands, hooks and a staged pipeline.

• Tutorials

A beginner-friendly guide and automated setup script for running the 350-million-parameter IBM Granite 4.0 language model fully offline on a Raspberry Pi 5 through Ollama, using a GGUF quantization tuned for the Pi 5's CPU.

• Inference
• Tutorials

Reference implementations from Vector Institute's Agentic AI Evaluation Bootcamp, covering agent evaluation fundamentals and four example agents evaluated with LLM-as-judge metrics, batch evaluation and a misalignment probing experiment across several commercial models.

• AI evals
• Tutorials

A documentation set for building and operating a two-node NVIDIA DGX Spark cluster connected by 200 Gb/s direct-attach networking, covering distributed training with NCCL, CUDA inference through EXO, NVMe-TCP shared storage, monitoring and scaling.

• Hosting
• Tutorials

Runnable lesson code from a live AI agents bootcamp taught in Urdu and English, covering LLM API basics, retrieval-augmented generation, building an agent harness from scratch, multimodal agents, LangChain, agent-to-agent protocol, and training a small language model.

• Tutorials

A small Python crash-course repository with runnable examples that progress from a plain OpenAI chat loop to tool-using AgentSpan agents with memory, web search, guardrails, structured output and human-approval steps.

• Tutorials