Mamba[a] is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University to address some …

Dec 1, 2023 · We integrate these selective SSMs into a simplified end-to-end neural network architecture without attention or even MLP blocks (Mamba). Mamba enjoys fast inference (5 × …

Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of …

Mar 7, 2024 · Mamba is a new LLM architecture that integrates the Structured State Space sequence (S4) model to manage lengthy data sequences. Combining the best features of …

Mar 27, 2024 · Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used Transformer models, addressing their inefficiency in …

Testing Checks on a Pull Request. You are viewing main version, which requires installation from source. If you'd like regular pip install, checkout the latest stable version (v4.48.0). We’re on a …

Mar 28, 2024 · We are thrilled to announce Jamba, the world’s first production-grade Mamba based model. By enhancing Mamba Structured State Space model (SSM) technology with …

Dec 15, 2024 · Explore Mamba and State Space Models (SSM) as powerful AI alternatives to transformers, offering a clear understanding of key concepts and applications.

Dec 18, 2023 · In this article on Mamba, we'll explore how this innovative state-space model (SSM) revolutionizes sequence modeling. Developed by Albert Gu and Tri Dao, Mamba is …

Dec 11, 2023 · Mamba i s an advanced state-space model (SSM) designed for efficient handling of complex, data-intensive sequences. it is published lately in the paper “ Mamba: Linear-Time …