Making AI Faster with State Space Models

State Space Models (SSMs) are emerging as a powerful alternative to the transformer-based architectures that dominate today's language models, offering greater efficiency and scalability for modern AI applications. This talk explores how SSMs are transforming AI by reducing computational overhead while maintaining strong performance. Attendees will gain insights into the fundamental principles of state space models, their real-world applications, and the cutting-edge research being conducted at Kwaai to further enhance their capabilities.