Google BERT

Google BERT (Bidirectional Encoder Representations from Transformers) is an advanced language model that helps search engines understand the context of words in a sentence. Unlike previous models that read text in one direction, BERT examines words both before and after a target word simultaneously. This allows it to grasp nuanced meanings and improve the accuracy of search results, especially for complex, conversational, or ambiguous queries. Essentially, BERT helps Google interpret language more like a human, making search results more relevant and helpful.