BERT stands for Bidirectional Encoder Representations from Transformers is a transformer-based machine learning technique for natural language processing pre-training developed by Google.



Bert reads the sentence from all directions. Bert is a neural language model that helps computer systems to get the meaning of any word in a natural method. Other than Bert all language models only read from one direction which means they are unidirectional.

BI directional: reads two-directional method that read from both directions. 

Neural language processing has a transformer

Encoder Representations from Transformers: This is a mechanism to check the relationship between different texts, 

This transformer has two parts.

1. Encoder 

2. Decoder

it has an encoder that reds text and finds the meaning and a decoder that makes text based on the meaning made by the encoder to explain the meaning.

Encoder representation means telling the meaning.

Bert can understand but can not make a new text.

If we connect all Bidirectional Encoder Representations from Transformers is a neural language processing framework that helps google to understand the words as a normal human in both English and Hindi language.


The effects of the BERT.

  • Traffic quantity gain.
  • Better traffic quality.

What do you need to change?

  • Do nothing,
  • Just make realistic, informational, and quality content.