Tag: fine-tuning

BERT (Bidirectional Encoder Representations from Transformers) is a revolutionary model in natural language processing that uses bidirectional context to improve understanding. Pre-trained on large text corpora and fine-tuned for specific tasks, BERT has set new benchmarks in NLP, excelling in tasks like sentiment analysis, question answering, and text classification. Despite its large computational requirements, BERT’s…