In a recent blog post, Google announced they have open-sourced BERT, their state-of-the-art training technique for Natural Language Processing (NLP) . Google has decided to do this, in part, due to a ...

A group of Google Brain and Carnegie Mellon University researchers this week introduced XLNet, an AI model capable of outperforming Google’s cutting-edge BERT in 20 NLP tasks and achieving state ...

Google this week open-sourced its cutting-edge take on the technique — Bidirectional Encoder Representations from Transformers, or BERT — which it claims enables developers to train a “state ...

What is BERT? It is Google’s neural network-based technique for natural language processing (NLP) pre-training. BERT stands for Bidirectional Encoder Representations from Transformers.

The use of NLP in search For years, Google has trained language models like BERT or MUM to interpret text, search queries, and even video and audio content.

The team looked at several state-of-the-art NLP systems based on BERT (a language model developed by Google that underpins many of the latest systems, including GPT-3).