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.
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