BERT is a word-level model, while Sentence-BERT (SBERT) is a sentence-level model, designed to generate sentence 1embeddings.
| BERT | SBERT | |
|---|---|---|
| How it processes text | Interprets words one at a time | Embeds entire sentences into vectors |
| Architecture | Uses a cross-encoder | Uses a bi-encoder |
| How it’s used | Good for understanding word nuances | Good for semantic similarity tasks |