Researchers have developed a new framework called GaLore, designed to train large language models on consumer-grade hardware. This is achieved through a combination of model pruning and knowledge distillation techniques. The goal is to make it possible for users with limited computational resources to train and deploy large models without the need for expensive equipment. --- Why it matters: This matters because it could enable more developers, especially those in resource-constrained environments, to work on large-scale AI projects without significant upfront costs. Source: https://huggingface.co/blog/galore