BERT is developed by Google for natural language processing which is used to learn bi-directional representations of text to improve contextual understanding of unlabeled texts for many different tasks. It is used by a whole family of BERT-like models such as ROBERT to ALBERT and DISTIBERT. Basically, it is used for language processing pre-training. BERT is better than GPT-3 as it is more beneficial for sentiment analysis or NLU. It offers different advantages like high accuracy, sentiment analysis, and question answering.
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