Language & LLMs

What Are GloVe Embeddings?

GloVe, short for Global Vectors, is a method for learning word embeddings by factorizing a matrix of how often words co-occur across an entire corpus. Unlike prediction-based methods, it directly uses global statistical information about word pairings. The result is word vectors that capture both semantic and syntactic relationships.