Efficiently updating Large Language Models with episodic memory control enhances accuracy and speed without the need for re-training.
MEMLLM, a novel method of enhancing large language models (LLMs) by integrating a structured and explicit read-and-write memory module, tackles the limitations of current LLMs in knowledge-intensive tasks and improves their performance and interpretability.