I'm Harry, a former CV engineer who switched to LLMs. After months of wading through scattered blog posts, dense papers, and tutorials that skip the hard
parts, I decided to build the course I wished existed.
CookLLM is a hands-on LLM engineering course where you build everything from
scratch — tokenizer (BPE in Rust), model architecture, GPU kernels
(CUDA/Triton), Flash Attention, pretraining pipeline, and eventually SFT/RLHF.
Currently ~40% complete. Topics already shipped: tokenization, RoPE, attention,
Flash Attention (6 chapters), GPU programming, BentoLM architecture, and the
full pretrain pipeline. Coming next: training parallelism, modern architectures
(RMSNorm, SwiGLU, Muon optimizer), and post-training (SFT, DPO, GRPO).
I'm Harry, a former CV engineer who switched to LLMs. After months of wading through scattered blog posts, dense papers, and tutorials that skip the hard parts, I decided to build the course I wished existed.