Systems engineers Chi and Connor launch 'tiny-llm'—a hands-on course for implementing LLM serving systems from the ground up. Using Apple's MLX framework, participants build and optimize Qwen2-7B-Instruct inference across three intensive weeks, replacing black-box solutions with fundamental matrix operations. The project addresses the growing need for engineers to understand LLM internals beyond abstract APIs.