Feb. 6, 2024, 9:20 p.m. | Adnan Hassan

MarkTechPost www.marktechpost.com

Processing extensive sequences of linguistic data has been a significant hurdle, with traditional transformer models often buckling under the weight of computational and memory demands. This limitation is primarily due to the quadratic complexity of the attention mechanisms these models rely on, which scales poorly as sequence length increases. The introduction of State Space Models […]


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ai shorts applications architecture artificial intelligence attention attention mechanisms benefits complexity computational data editors pick language model large language model machine learning mamba memory moe novel processing staff tech news technology transformer transformer models

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