A Team of UC Berkeley and Stanford Researchers Introduce S-LoRA: An Artificial Intelligence System Designed for the Scalable Serving of Many LoRA Adapters

A team of UC Berkeley and Stanford researchers have developed a new parameter-efficient fine-tuning method called Low-Rank Adaptation (LoRA) for deploying LLMs. S-LoRA was designed to enable the efficient deployment of many LoRA adapters. S-LoRA allows thousands of adapters to run on a single GPU or across multiple GPUs with minimal overhead. The method introduces […]

The post A Team of UC Berkeley and Stanford Researchers Introduce S-LoRA: An Artificial Intelligence System Designed for the Scalable Serving of Many LoRA …

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