beatai

Why we included this project

BeatAI is a steadily updated collection of AI explainers that starts at neural network basics and climbs all the way to modern LLM internals. Recent posts cover a good spread: mixture-of-experts architectures as they appear in DeepSeek and Grok, building a working GPT from scratch on a laptop, and what the final layers of a transformer are actually doing. That mix serves two audiences: students who need a clear entry point, and engineers who already ship systems but want to understand the machinery underneath. The writing favors first principles and real code over hand-waving, so you finish a piece able to reason about why a model behaves the way it does rather than just accepting it. New articles land regularly and link out to full readable versions, which lets you treat the repo as a structured curriculum or dip into a specific topic when it comes up at work.