Latent space

Latent space is the internal, compressed representation space a model learns, in which data points are arranged so that similar concepts are near each other.

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

Also called Latent representation, Embedding space.