LoRA (Low-Rank Adaptation) is a highly efficient method of LLM fine tuning, which is putting LLM development into the hands of smaller organizations and even individual developers. LoRA makes it possible to run a specialized LLM model on a single machine, opening major opportunities for LLM development in the broader data science community.