Ml

The paper In this blogpost, we’ll explore the paper: Mamba: Linear-Time Sequence Modeling with Selective State Spaces, which introduced a neural network architecture that bridges the gap between RNNs and Transformers. The authors: Albert Gu and Tri Dao, are well-known for their contributions to the FlashAttention, which significantly improved Transformer efficiency and have been widely adopted in all prominent deep learning libraries. These researchers clearly have deep experience in optimizing large sequence models. Motivation In the paper authors argue that: ...