What is bert algorithm? How does it work.

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Accepted Answer

BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained natural language processing model.

BERT is a transformer-based machine learning algorithm developed by Google.
It is designed to understand the context of words in a sentence by considering both the left and right context simultaneously.
BERT has been pre-trained on a large corpus of text data and can be fine-tuned for specific NLP tasks like text classification, question answering, and named entity recognition.
It has been shown to achieve state-of-the-art results on various NLP benchmarks.
Example: BERT can be used to generate embeddings for words or sentences, which can then be used for downstream NLP tasks.

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