According to DeepLearning.AI, Meta researchers have introduced a new architecture that upgrades large language models (LLMs) using trainable memory layers, enabling efficient storage and retrieval of factual information without a significant increase in computational resources (source: DeepLearning.AI, May 24, 2025). This innovation structures memory keys as combinations of smaller elements, vastly improving LLMs' ability to access and update knowledge dynamically. The approach opens practical opportunities for enterprises to deploy scalable AI solutions that require frequent factual updates, such as real-time knowledge bases and customer support bots, while controlling infrastructure costs.