Detailed Explanation
Embeddings are a way of representing data (text, images, audio) as lists of numbers (vectors). In Natural Language Processing, words or sentences with similar meanings are mapped to points that are close to each other in the vector space. This allows AI models to understand semantic relationships and context, enabling applications like semantic search, clustering, and classification.