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CookLLM

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Go deep. Build real things.

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CookLLM – Hands-on LLM engineering course building everything from scratch

Summary: CookLLM is a comprehensive course where you implement all components of large language models, including tokenizer, model architecture, GPU kernels, Flash Attention, pretraining, and RLHF, with interactive visualizations and no black boxes.

What it does

It guides learners to build LLM components from the ground up using Rust and CUDA/Triton, covering tokenizer creation, GPU programming, Flash Attention, pretraining pipelines, and reinforcement learning with human feedback.

Who it's for

Designed for engineers and developers seeking deep technical understanding of LLM internals and systems-level implementation beyond typical tutorials.

Why it matters

It addresses the lack of practical, end-to-end LLM engineering resources by providing a detailed, hands-on curriculum without relying on existing libraries or abstractions.