Transformers are neural networks designed to model sequential data and generate a prediction of what should come next in a series. Core to their success is the idea of ‘attention,’ which allows the transformer to “attend” to the most salient features of an input. Large language models are now improving at a truly impressive rate. . . .
Read more at www.wired.com
