Dense Embeddings
How dense embeddings turn meaning into geometry: word2vec, GloVe, and contextual models, vector arithmetic, cosine similarity, and where the field is heading.
9 min readConcept
Explore machine learning concepts related to bert. Clear explanations and practical insights.
How dense embeddings turn meaning into geometry: word2vec, GloVe, and contextual models, vector arithmetic, cosine similarity, and where the field is heading.
How sparse retrieval (BM25/TF-IDF), dense retrieval (BERT-style embeddings), and hybrid systems that combine both compare on recall, semantic understanding, computational cost, and operational complexity for modern search.