R. Siegelmann

A complementary learning system for continual episodic memory in large language models

A large language model is used as a model system for continual episodic memory, with its pretrained weights supplying the semantic context in which new episodes are embedded, yielding a neural-network model that stores, recalls, and consolidates naturalistic episodic memories, thereby capturing key functional features of human memory.