Summary: Exploring Sentence and Domain-Specific BERT

Discover how Sentence-BERT uses pooling and Siamese/triplet architectures to generate sentence embeddings efficiently. Learn to compute semantic similarity with sentence-transformers, leverage multilingual embeddings via knowledge distillation, and fine-tune domain-specific models such as ClinicalBERT and BioBERT for healthcare-related NLP tasks.