🍢 Edge#113: Google BERT; TAPAS that Query Tabular Datasets; and AutoNLP
In this issue:
we explain the architecture of Google BERT;
we explore the paper that introduces TAPAS – a model that extends BERT’s architecture to work with tabular datasets;
we talk about AutoNLP – one of those projects that can streamline the adoption of transformer architectures across a large variety of NLP solutions.