<ul data-eligibleForWebStory="false"><li>BERT, standing for Bidirectional Encoder Representations From Transformers, is a deep learning architecture developed by Google in 2018.</li><li>BERT reads text bidirectionally, meaning it considers words in both directions simultaneously, unlike traditional NLP models.</li><li>The uniqueness of BERT lies in its ability to understand word meanings in context by analyzing surrounding words, making it revolutionary for NLP tasks.</li><li>BERT is based on transformer architecture and includes components like token embedding, positional encodings, multi-head self-attention, and stacked layers for language understanding.</li></ul>

BERT (Bidirectional Encoder Representations From Transformers)

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