BERT stands for Bidirectional Encoder Representations from Transformers. It is a type of deep learning model developed by Google in 2018, primarily used in natural language processing tasks such as ...

NVIDIA Corporation, the behemoth in the world of graphics processing units (GPUs), announced today that it had clocked the world's fastest training time for BERT-Large at 53 minutes and also trained ...

In this video, we break down BERT (Bidirectional Encoder Representations from Transformers) in the simplest way possible—no fluff, no jargon. BERT is a Transformer based model, so you need to have a ...

Natural language processing (NLP) -- the subcategory of artificial intelligence (AI) that spans language translation, sentiment analysis, semantic search, and dozens of other linguistic tasks -- is ...

Google has said that its most recent major search update, the inclusion of the BERT algorithm, will help it better understand the intent behind users’ search queries, which should mean more relevant ...

Google is rolling out what it says is the biggest step forward for search in the past 5 years, and one of the biggest steps forward in the history of Search altogether. Google is using a new ...

Last month here on Search Engine Journal, author Roger Montti covered the Google research paper on a new Natural Language Processing algorithm named SMITH. The conclusion? That SMITH outperforms BERT ...

Google has recently gone live with their latest update that involves the use of BERT technology in search engine results. According to HubSpot, Google processes over 70 000 search inquiries per second ...