BERT (Bidirectional Encoder Representations from Transformers): Revision history

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18 March 2023

  • curprev 13:1113:11, 18 March 2023‎ Walle talk contribs‎ 3,640 bytes +3,640‎ Created page with "{{see also|Machine learning terms}} ==Introduction== BERT, or '''Bidirectional Encoder Representations from Transformers''', is a pre-training technique for natural language understanding tasks in the field of machine learning. Developed by researchers at Google AI Language, BERT has significantly advanced the state of the art in a wide range of tasks, such as question answering, sentiment analysis, and named entity recognition. BERT's breakthrough lies in its abilit..."
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