BERT stands for Bidirectional Encoder Representations from Transformers.

BERT is a natural language processing algorithm that allows a machine to understand what words mean in context.

BERT works by encoding sentences in both directions simultaneously rather than reading the words from left to right. Then, it encodes each word in the sentence based on its relative position. This helps it understand the nuances of natural language better than previous algorithms have been able to. Some words can have different meanings depending on their context, so BERT attempts to understand each word in a search query contextually.