Batch size

Batch size is the number of training examples processed together before the model's parameters are updated. It affects training speed, memory use, and the stability of learning.

Batch size sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Mini-batch size.