ended5월 21일· 1 sources
The Bidirectional Transformer That Redefined Text Understanding
양방향 문맥 이해로 NLP를 재정의한 BERT
Why it matters
BERT revolutionized NLP by introducing bidirectional context—reading text from both directions simultaneously—making it the gold standard for understanding and classification tasks. Unlike generation-focused models like GPT, BERT's encoder-only architecture fundamentally changed how machines comprehend language relationships, establishing it as the essential foundation for most real-world NLP applications.
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BERTMasked Language ModelingBidirectional contextTransformer encoderNLP classification