Tutorials

A React Native example app demonstrating NobodyWho, a library for running LLMs locally and efficiently on a phone, including chat, tool calling, vision, RAG, speech-to-text and text-to-speech.

• Inference
• Tutorials

Workshop materials teaching security practitioners how to write, refine and verify prompts for real security tasks, including a hands-on prompt-injection challenge and packaging prompts into reusable Modelfiles.

• Security
• Tutorials

Course material for an O'Reilly live training on running open-weight decoder LLMs locally, with notebooks comparing the transformers library, vLLM, SGLang, tabbyAPI and llama.cpp as execution engines.

• Tutorials

A set of examples for deploying LLMs on Aalto University's Triton cluster, covering local inference through Hugging Face Transformers and vLLM, Aalto's own LLM API, and configuring AI coding agents against Aalto's endpoints.

• Tutorials

Workshop and demonstration materials for an 'Architecting agentic AI solutions' course taught at NUS-ISS, including Jupyter notebooks for two graded workshops, their assignments, and a stripped-down starter version of one workshop for following along.

• Tutorials

A starter kit of step-by-step instructions, not code, for building a shared program-memory layer for AI agents using Claude Code, native MCP integrations and git, covering the pull, map and loop levels of the architecture.

• Agent memory
• Tutorials

A from-scratch, hand-built decoder-only transformer training project, currently a 152-million-parameter model pretrained on about 15 billion tokens with RoPE, RMSNorm and SwiGLU, released as a Hugging Face-compatible checkpoint with a live demo.

• Models
• Tutorials

A manual for learning embedded-systems basics on Arduino and ESP32 hardware, working close to the metal in C and C++.

• Tutorials

An offline-first interactive lab and long-form guide to Muse Glimmer, Meta's open-weight 30-billion-parameter agentic multimodal model, letting a reader explore agent loops, benchmarks, and memory sizing before downloading the model weights.

• Models
• Tutorials

The course hub for a university-style class on multi-agent systems and agentic AI, holding lecture slides, code, tutorials, and reading materials covering reinforcement learning and multi-agent reinforcement learning.

• Tutorials

A hands-on lab repository that teaches the Model Context Protocol through guided exercises in a GitHub Codespace, kept current with the MCP specification and built on FastMCP 4.

• Tutorials

A SwiftUI showcase chat app demonstrating Apple's on-device Foundation Models on iOS 26 and iOS 27, providing fast, private AI chat with no app server and no data leaving the device.

• Inference
• Tutorials

An interactive Jupyter notebook curriculum for learning artificial intelligence by implementing it, moving from search and constraint algorithms through formal reasoning, game theory, machine learning, reinforcement learning, and generative AI to algorithmic trading.

• Tutorials

A WinUI 3 sample chat app from Microsoft that runs Windows' on-device Aion Instruct Preview language model on Copilot+ PCs, streaming tokens with first-token latency and tokens-per-second shown under each reply.

• Inference
• Tutorials

A demonstration enterprise-grade retrieval-augmented generation system with a Next.js chat frontend, a FastAPI backend, and a LangChain AI layer, built for on-premise deployment in data-sensitive industries such as banking and healthcare.

• RAG
• Tutorials

An example Apache Airflow project that orchestrates a daily ETL pipeline fetching weather data from a free API, cleaning and transforming it, and storing it in PostgreSQL, ready for downstream machine learning tasks.

• Data engineering
• Tutorials

A companion robot project for the DeepLearning.AI short course on building AI assistants with on-device memory, using a camera and microphone to recognize objects, learn their names by voice, and recall when and where it saw them, entirely on the device.

• Agent memory
• Tutorials

A hands-on workshop that builds .NET multi-agent applications with the Microsoft Agent Framework, Microsoft Foundry, and Aspire, covering sequential, concurrent, handoff, and group-chat orchestration patterns.

• Agent frameworks
• Tutorials

A 34-chapter book for Java developers, built as a Jupyter Book static site, teaching machine learning through practicing local inference and fine-tuning of open-source GGUF models.

• Tutorials
• Books

An educational, from-scratch PyTorch implementation of Mamba, the selective state space model architecture, covering the selective scan mechanism, a Mamba block, and a complete language model built on it.

• Models
• Tutorials

Runnable end-to-end examples for the Kakunin AI agent identity and compliance API, showing X.509 certificate issuance and scope-enforced tool calls integrated with LangChain, CrewAI, AutoGen, LlamaIndex, Next.js, and the Vercel AI SDK.

• Auth
• Tutorials

A basic sample SAP Business Technology Platform application showing a semantic search engine built with the CAP model, SAP HANA Cloud's Vector Engine, and SAP's Generative AI Hub, with a SAPUI5 frontend.

• RAG
• Tutorials

A deployment guide and benchmark for running the Qwen3.6-35B-A3B mixture-of-experts model with multi-token-prediction speculative decoding on a single NVIDIA L4 24GB GPU using the official llama.cpp Docker image.

• Inference
• Tutorials

A collection of self-contained example applications that show how to deploy AI models at scale with Lightning AI's LitServe model-serving engine.

• Inference
• Tutorials