Models
BERT (Bidirectional Encoder Representations)
Transformer model that reads text bidirectionally
What is BERT (Bidirectional Encoder Representations)?
BERT is a transformer-based model developed by Google that reads text bidirectionally, meaning it considers context from both left and right sides of each word. This bidirectional training enables BERT to deeply understand language context and nuance.
Key Points
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Bidirectional context understanding
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Pre-trained on masked language modeling
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Excellent for understanding tasks
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Foundation for many NLP applications
Practical Examples
Question answering
Named entity recognition
Sentiment analysis
Search relevance