Jan. 16, 2024, 2 a.m. | Nikhil

MarkTechPost www.marktechpost.com

In sequence processing, one of the biggest challenges lies in optimizing attention mechanisms for computational efficiency. Linear attention has proven to be an efficient attention mechanism with its ability to process tokens in linear computational complexities. It has recently emerged as a promising alternative to conventional softmax attention. This theoretical advantage allows it to handle […]


The post Meet Lightning Attention-2: The Groundbreaking Linear Attention Mechanism for Constant Speed and Fixed Memory Use appeared first on MarkTechPost.

ai shorts applications artificial intelligence attention attention mechanisms challenges complexities computational editors pick efficiency groundbreaking language model large language model lies lightning linear memory process processing speed staff tech news technology tokens

More from www.marktechpost.com / MarkTechPost

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AI Engineering Manager

@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain