What does Google Bert do? — VoltronAI

Author Adidas Wilson
3 min readMar 25, 2023

Google BERT (Bidirectional Encoder Representations from Transformers) is a natural language processing algorithm developed by Google. The purpose of Google BERT is to improve the accuracy of search results by better understanding the nuances and context of search queries.

Google BERT is an advanced neural network-based algorithm that uses machine learning to process natural language. It was developed to help Google better understand the meaning of words in context, allowing it to provide more accurate search results. Before BERT, Google relied on keyword matching and other simpler algorithms to determine the relevance of search results to a user’s query. BERT is a major improvement over these older algorithms, as it can analyze language at a much more advanced level.

BERT uses a technique called transformers to better understand the meaning of words in context. Transformers allow the algorithm to analyze the relationships between words in a sentence and understand how they relate to each other. This allows BERT to better understand the nuances of language and provide more accurate search results.

One of the key benefits of BERT is its ability to understand natural language queries. This means that BERT is able to analyze search queries and understand the meaning behind them, rather than just matching keywords. For example, if a…

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Author Adidas Wilson

Adidas Wilson was born in Chicago, surviving a near death experience driving off a bridge in an 18 wheeler and getting hit by a train. Author and Motivator