Embedding models for Kannada
Embedding models transform words, sentences, documents, or digital items into vectors of numbers (usually floats) so that machines can understand and compare them semantically1. A good embedding model has enough information to capture the meaning and relationships in dense vector form. I have been using them to replace simple FTS, to implement sophisticated...