Artificial Intelligence
About this ebook series
Most AI books leave you with one of two things: theory you can't put into code, or code you don't really understand. This series gives you both, explaining each idea and then building it, from the classic algorithms behind every AI course to the systems behind today's frontier models.
Book 1 – Artificial Intelligence, Iteration by Iteration
Search, Logic, Machine Learning, Deep Learning and Real-World AI — Every Algorithm Traced Step by Step
The foundation. Search, logic, machine learning and deep learning, with every algorithm traced step by step so you can see exactly how each value changes from one iteration to the next. Nothing is left as a black box.
Book 2 – Building a Frontier LLM from Scratch
Architecture, Training, Alignment, and Serving of a DeepSeek-Style Mixture-of-Experts Reasoning Model
Go inside a modern large language model. Build a DeepSeek-style Mixture-of-Experts reasoning model through its whole life: designing the architecture, training it, aligning it and serving it to users.
Book 3 – Generative AI Systems
Building Generative AI Across Every Modality
Go beyond text. Learn how generative systems produce content across modalities, and how to build them into working applications.
Who it's for: students, developers and engineers who want to understand how AI works, not just call it through an API. Read the books in order, from fundamentals to frontier models to multimodal generation, or start with whichever one fits what you need now.
