A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
A curated list of LLM APIs that offer permanent free tiers for text inference, with base URLs, models, and rate limits.
Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
A Rime input scheme for Chinese pinyin built on a tone-annotated, frequency-tuned dictionary and grammar model, with Base, Pro, Lite and Pure editions.
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
A free, self-paced computer science curriculum assembled from online courses and books, modeled on undergraduate CS degree requirements.
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
A curated collection of prompts, video-generation techniques, and API guides for ByteDance's Seedance 2.0 AI video model.