What is Google BERT?

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries

Thanks for your information friends.

Bidirectional Encoder Representations from Transformers is a technique for NLP pre-training developed by Google. BERT was created and published in 2018 by Jacob Devlin and his colleagues from Google. Google is leveraging BERT to better understand user searches.

Google updated their search algorithm as BERT to understand user queries language exactly.

Google BERT stands for Bidirectional Encoder Representations from Transformers and is an update to the core search algorithm aimed at improving the language understanding capabilities of Google.

BERT is one of the biggest updates that Google has made since RankBrain in 2015 and has proven successful in comprehending the intent of the searcher behind a search query.

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