How to build an LLM inference engine from scratch: 5-layer architecture
glenbeer · x · 2026-08-30
This article explains how to build an LLM inference engine from scratch. The core goal is to take a model and input and efficiently generate output tokens. The process is broken down into a 5-layer architecture, covering the full flow from loading model weights and embeddings, passing through Transformer layers, generating logits, to probability-based sampling.
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