Dec. 17, 2023, 5:30 a.m. | Mohammad Arshad

MarkTechPost www.marktechpost.com

Large language models such as GPT-3 require substantial energy due to their computational needs during training and inference. The energy usage varies significantly based on factors like the model’s size, task complexity, hardware specifications, and operational duration. Training these models demands extensive computational resources, often involving high-performance GPUs or TPUs, leading to substantial energy consumption […]


The post This AI Paper Introduces Perseus: A Trailblazing Framework for Slashing Energy Bloat in Large-Scale Machine Learning and AI Model Training by Up …

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