Stanford just released the kind of LLM lecture frontier AI labs pay engineers $750K+ a year to understand Not prompting Not RAG How to actually build language models from scratch In 104 minutes, they break down the full stack behind modern LLMs: 06:18 - how raw data becomes a language model 21:42 - tokenization and model architecture 39:17 - why scaling laws can predict model performance 57:36 - how compute, data, and parameters trade off 1:14:28 - what really happens during post-training 1:34:11 - the engineering skills behind frontier models This one lecture is more useful than 100 random LLM tutorials Bookmark it and watch it today Then read the full guide below and learn how to build language models from scratch