This is an offline app with 51 hands-on labs for learning how AI actually works, from neurons to agents and more... **A bit of insight** - 51 labs in 6 groups, from the basics (what a neuron is, gradient descent) through attention, RAG, agents, fine-tuning, quantization, serving and more - Each lab has a short lesson beside it, readable in Plain or Standard mode - Some of it actually runs rather than just animating: - the attention lab runs a small trained transformer (1.37M params) inside the app - the training labs train a tiny character-level model live as you move the sliders - Works offline: no account, no telemetry **How it was made** I chose the topics, some background research and came up with the structure and the grouping. Claude and GPT Astra to help write the lesson text, and Grok as a second pass on references. There will be mistakes, so if you spot one, please tell me or open a PR. If you teach this or work in a specialized area of AI, I'd love help expanding it: a new interactive lab, a better visualization, or a tweak that makes the cause and effect in an existing lab clearer. I'd also like to hear which labs are confusing and what's missing. GitHub: https://github.com/Fazmin/AILearningGuide   submitted by   /u/Zipidyzip [link]   [comments]