May 2, 2024, 5:17 a.m. | Dhanshree Shripad Shenwai

MarkTechPost www.marktechpost.com

Many applications have used large language models (LLMs). However, when deployed to GPU servers, their high memory and computing demands result in substantial energy and financial expenditures.  Some acceleration solutions can be used with laptop commodity GPUs, but their precision could be better. Although many LLM acceleration methods aim to decrease the number of non-zero […]


The post LayerSkip: An End-to-End AI Solution to Speed-Up Inference of Large Language Models (LLMs) appeared first on MarkTechPost.

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