This article discusses a recent tutorial by the Deep Learning AI YouTube channel, presented by Piero Molino and Travis Addair, which provides valuable insights into the process of fine-tuning Meta’s Llama 2 open source large language model to run on a single GPU. The tutorial is a hands-on workshop that delves into the unique challenges of fine-tuning LLMs and provides practical solutions to the “host out of memory” error. It also covers topics such as optimizing LLM training frameworks and training on multiple GPUs.
