Dec. 21, 2023, 6 a.m. | Pragati Jhunjhunwala

MarkTechPost www.marktechpost.com

Researchers from Apple have developed an innovative method to run large language models (LLMs) efficiently on devices with limited DRAM capacity, addressing the challenges posed by intensive computational and memory requirements. The paper introduces a strategy that involves storing LLM parameters on flash memory and dynamically bringing them to DRAM as needed during inference. It […]


The post This AI Research from Apple Unveils a Breakthrough in Running Large Language Models on Devices with Limited Memory appeared first on MarkTechPost …

ai research ai shorts apple applications artificial intelligence capacity challenges computational devices dram editors pick language language model language models large language large language model large language models llm llms machine learning memory paper parameters requirements research researchers running staff strategy tech news technology

More from www.marktechpost.com / MarkTechPost

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York