Large Memory Models

Large Memory Models (LMMs) are an AI architecture introduced by a research team with over 160 publications in Nature and ICLR, designed to enhance memory and reasoning capabilities beyond traditional transformer-based models.

Two-hop subgraph: this entity, every entity it directly relates to, and every entity those neighbors relate to. Drag a node, scroll to zoom, click to inspect — or click any neighbor and re-center the atlas there.