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BERT is a transformer model that was developed by Google in 2018. What is BERT used for?
It is used to train other machine learning models, such as Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks.
It is used to diagnose and treat diseases
It is used to generate text, translate languages, and write different kinds of creative content.
It is used to solve many natural language processing tasks, such as question answering, text classification, and natural language inference.
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