Embeddings

Learn how embeddings convert complex data into numerical representations that capture semantic meaning and enable similarity comparisons.

Learn how Word2Vec revolutionized NLP by learning dense word representations that capture semantic relationships.

Learn how GloVe creates word embeddings by leveraging corpus-wide co-occurrence statistics rather than local context windows.

Learn how semantic search uses embeddings and NLP to understand query intent and deliver more relevant results than traditional keyword matching.