Coding LLaMA 2 from scratch in PyTorch - KV Cache, Grouped Query Attention, Rotary PE, RMSNorm

From a channel Lumen includes in full: Every sampled upload is a long-form technical lecture or from-scratch coding walkthrough of deep learning papers and architectures, with math derivations and code (e.g. Flash Attention in Triton, Mamba/S4 math, Stable Diffusion from scratch). Titles are plainly descriptive with no clickbait. Even the one personal intro, in the 1175-minute video, is a preface to a substantive build tutorial, so the channel's primary aim is clearly teaching.

A 184-minute video from Umar Jamil's catalogue; the title names its topic.

Video by Umar Jamil, played through YouTube's embedded player.