BERT (Bidirectional Encoder Representations from Transformers)

> BERT (Bidirectional Encoder Representations from Transformers) in NLP is a cutting-edge model that understands words in context, considering both left and right-side information in sentences.
> This enhances the comprehension of language nuances, making it exceptional for tasks like question answering, sentiment analysis, and language translation.
> BERT’s ability to capture context has led to remarkable improvements in various language-related applications, making interactions with technology more natural and accurate.
> This helps search engines provide more relevant results, improves chatbots’ conversational abilities, and refines text generation tasks.
> BERT’s contextual understanding has elevated the accuracy of various language-related applications, making interactions with technology feel more natural and meaningful.

For your reference : https://huggingface.co/blog/bert-101