From the source
BERT, a bidirectional transformer model from Google AI Language, its architecture, training data, and applications in NLP tasks.
From the source
BERT, short for Bidirectional Encoder Representations from Transformers, is a Machine Learning (ML) model for natural language processing. It was developed in 2018 by researchers at Google AI Language and serves as a swiss army knife solution to 11+ of the most common language tasks, such as sentiment analysis and named entity recognition.
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