BERT (Bidirectional Encoder Representations from Transformers)
A pre-trained language model that uses bidirectional context for understanding text.
In more detail
BERT is a pre-trained Transformer encoder released by Google. Uses masked language modeling and next sentence prediction. Excellent for text understanding tasks. Foundation for many downstream NLP applications.
Examples
- Text classification
- Named entity recognition
- Question answering
- Semantic similarity
Related terms
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