Run:AI raises $13 million to train AI models efficiently

AI models are great — after all, they’re at the core of everything from voice assistants to datacenter cooling systems. But what isn’t great is the time and effort required to fine-tune them. The data sets ingested by production algorithms comprise hundreds (or millions) of samples and take powerful PCs up to weeks to process. New techniques promise to expedite model training, but not all of them are generalizable.

Read More »