What does “Sparse Model” mean?

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.

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

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

A compressed representational space where similar concepts are positioned near each other as vectors.

An inference acceleration method where a small draft model proposes tokens that a larger model verifies in parallel.