Google Titans Crushes Transformers: Neural Memory for Infinite Context

Author(s): Divy Yadav Originally published on Towards AI. The powerful shift from the transformer to Titans Remember that time you walked into a room and completely forgot why you went there? That frustrating “brain fart” is your short-term memory failing you. By the AuthorResearchers at Google have introduced a new architecture called Titans, which aims to solve the memory issues that have historically plagued AI models. Unlike traditional architectures, Titans can learn to remember important information during inference, similar to human memory processes. This significant advancement allows for a larger context window without the exponential computational costs that previous models faced, giving it the ability to manage and recall long-term information effectively. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI