Embeddings in AI: Bridging the Gap Between Language and Understanding
Introduction In the realm of Artificial Intelligence (AI) and Natural Language Processing (NLP), embeddings serve as a powerful technique for transforming categorical data into continuous vector representations. This transformation allows algorithms to understand and process complex data types, such as words, sentences, or even images, by capturing semantic relationships between them. However, the challenge lies […]