Bi-encoders are specifically designed to optimize the generation of [[Dense Vectors ("Embeddings")]] for each input independently, which can then be efficiently compared using vector similarity measures for tasks like matching, [[Partitional Clustering]], and [[Information Retrieval (IR)]] on large datasets. [[Train BERT]]