Most of today’s breakthrough AI models are based on the transformer architecture, which is distinguished by its use of an attention mechanism. In a large ...

Many of today’s most useful AI systems are multilabel classifiers: they map input data into multiple categories at once. An object recognizer, for instance, ...

The first step in training a neural network to solve a problem is usually the selection of an architecture: a specification of the number of computational ...

In natural-language understanding (NLU), the Transformer-based BERT language model is king. Its high performance on multiple tasks has strongly influenced ...