Embeddings are a cornerstone in the world of machine learning, transforming the way machines interpret and process complex data. At their core, embeddings are numerical representations of information — such as words, sentences, or images — mapped into a continuous vector space. In other words, they translate data into a language that machines can understand and process efficiently.