Learn LLM inference system on Apple Silicon

tiny-llm is an open, hands-on course that teaches LLM inference from the ground up on Apple Silicon using MLX, without high-level neural-network layers. Learners implement attention, RoPE, quantized weights, batching, paged KV caching, and a small coding agent for Qwen3-4B, checking their work against a reference solution.