This AI Paper from China Proposes a Novel dReLU-based Sparsification Method that Increases Model Sparsity to 90% while Maintaining Performance, Achieving a 2-5× Speedup in Inference

Large Language Models (LLMs) have made substantial progress in the field of Natural Language Processing (NLP). By scaling up the number of model parameters, LLMs show higher performance in tasks such as code generation and question answering. However, most modern LLMs, like Mistral, Gemma, and Llama, are dense models, which means that during inference, they […]

The post This AI Paper from China Proposes a Novel dReLU-based Sparsification Method that Increases Model Sparsity to 90% while Maintaining Performance, Achieving a …

ai paper ai paper summary ai shorts applications artificial intelligence china code code generation editors pick inference language language models language processing large language large language models llms machine learning natural natural language natural language processing nlp novel paper parameters performance processing progress scaling scaling up show sparsity staff tasks tech news technology while