https://terms-en.ai-term-hub.com/en/tags/sequence-modeling/Recent content in Sequence Modeling on English AI Terms DictionaryHugoen-usSat, 18 Jul 2026 11:44:44 +0000https://terms-en.ai-term-hub.com/en/terms/mamba/Sat, 18 Jul 2026 09:34:02 +0000https://terms-en.ai-term-hub.com/en/terms/mamba/<h2 id="definition">Definition</h2> <p>Mamba represents a significant advancement in sequence modeling by introducing a hardware-aware selective state space model (SSM). Unlike traditional transformers that scale quadratically with sequence length due to self-attention mechanisms, Mamba scales linearly. It achieves this through a data-dependent selection mechanism that allows the model to dynamically adjust its memory based on input content. This architecture enables efficient processing of extremely long sequences, making it highly suitable for applications requiring extensive context retention without prohibitive computational costs.</p>