beat-ai

Why we included this project

BeatAI is for people who learn best from clear, concept-first explanations rather than terse API docs. It's a regularly updated collection of AI articles and hands-on walkthroughs, running from neural networks and self-attention up to newer territory like MoE LLMs, agent observability, and self-training AI loops. The practical streak is the main draw: a series that builds a GPT from scratch on a MacBook walks through real PyTorch code and training data, no nn.Transformer shortcuts, so a reader can follow along rather than just absorb theory. There's an engineering angle too, covering OpenTelemetry-based observability for agents and the cost and evaluation questions behind agentic analytics. If you want a readable path from first intuitions to working understanding, this is a good place to start.