What does “Latent Space” mean?

A generative setup where a generator and discriminator train against each other.

An attack pattern where malicious instructions are inserted into model inputs or retrieved content.

A model where many parameters are zero or inactive to reduce computation.

A training and behavior-shaping approach where model outputs are guided by a fixed set of written principles.

A policy where request/response payloads are not stored after processing beyond short-lived operational windows.

An attention pattern where each token attends only to a fixed-size window of nearby tokens to reduce compute.