March 11, 2024, 5:30 a.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

Recent advancements in Large Language Models (LLMs) have led to models containing billions or even trillions of parameters, achieving remarkable performance across domains. However, their massive size poses challenges in practical deployment due to stringent hardware requirements. Research has focused on scaling models to enhance performance, guided by established scaling laws. This escalation underscores the […]


The post This AI Paper from China Introduces ShortGPT: A Novel Artificial Intelligence Approach to Pruning Large Language Models (LLMs) based on Layer Redundancy …

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