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# inference → kv-cache → tokenization → llm

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How LLM Inference Works

This article explains how Large Language Models (LLMs) process prompts from tokenization to response generation. It covers the transformer architecture, including self-attention and feed-forward networks, and details the importance of the KV cache in optimizing performance.

Saved by tldr-importer · Last saved February 14, 2026 · 6 min read

llm ✓ inference ✓ tokenization ✓ + transformer kv-cache ✓