What Is Bidirectional Encoder Representations From Transformers Bert

What Does Bidirectional Encoder Representations from Transformers (BERT) Mean?

Bidirectional Encoder Representations from Transformers (BERT) is a deep learning strategy for natural language processing (NLP) that helps artificial intelligence (AI) programs understand the context of ambiguous words in text.

Techopedia Explains Bidirectional Encoder Representations from Transformers (BERT)

Google engineers used tools like Tensorflow to create the BERT neural network architecture. Until BERT, AI programs were unidirectional, which means they could only process text from left-to-right.