Transformers revolutionized AI but struggle with long sequences due to quadratic complexity, leading to high computational and memory costs that limit scalability and real-time use. This creates a need for faster, more efficient alternatives. Mamba4 addresses this using state space models with selective mechanisms, enabling linear-time processing while maintaining strong performance. It suits tasks like […]The post Mamba4 Explained: A Faster Alternative to Transformers for Sequential Modeling appeared first on Analytics Vidhya.