Demystifying LLM Batching: Static, Dynamic, and Continuous Methods
Large Language Model efficiency heavily relies on batching techniques to process multiple requests simultaneously. This guide explores the evolution from traditional static and dynamic batching to advanced continuous batching, explaining how these methods optimize hardware resources, reduce latency, and significantly lower operational costs for AI deployments.
Source: Analytics Vidhya