Tag Archives: mamba

Mamba is a new approach to deep learning for sequences, built upon a flexible framework called Structured State Space Models (SSMs). You can think of SSMs as a general way to build sequence models, encompassing familiar architectures like RNNs and CNNs. What makes Mamba stand out is its efficiency with long sequences: its training timeContinue reading “Mamba-2”

AI21 Labs has introduced Jamba, the world’s first production-grade language model built on a hybrid architecture that combines Mamba Structured State Space (SSM) technology with elements of the traditional Transformer architecture. This innovative approach addresses the limitations of pure Transformer or SSM models, offering significant improvements in memory footprint, throughput, and the efficient handling ofContinue reading “Jamba: The LLM with Mamba Mentality”