
RAM — or What Is Actually in Highest Demand Today?
At the beginning of the modern AI era, researchers discovered a relatively simple pattern: as you increase compute, training data, and model size, neural networks tend to become significantly more capable. One of the most important milestones came in 2017, when Google introduced the Transformer architecture in the paper Attention Is All You Need. Transformers were initially demonstrated on tasks such as machine translation, but it quickly became clear that the architecture could be used for much more. ...