Researchers from ISTA Austria and Neural Magic Introduce QMoE: A Revolutionary Compression Framework for Efficient Execution of Trillion-Parameter Language Models

A neural network model designed to combine the output of multiple expert subnetworks to make predictions or decisions is called Mixture of Experts ( MoE ). This architecture is particularly useful when dealing with complex and diverse data, where different subsets or aspects of the data may require specialized models to handle effectively. MoE models […]

The post Researchers from ISTA Austria and Neural Magic Introduce QMoE: A Revolutionary Compression Framework for Efficient Execution of Trillion-Parameter Language Models appeared first …

ai shorts applications architecture artificial intelligence austria compression data decisions deep learning diverse editors pick expert experts framework language language models machine learning magic mixture of experts moe multiple network neural magic neural network predictions researchers staff tech news technology