Embeddings

Embeddings in AI refer to mappings of categorical variables or entities into numerical vectors within a high-dimensional space, capturing semantic relationships and contextual information. These embeddings enable machine learning models to process and understand categorical data more effectively, facilitating tasks like natural language processing, recommendation systems, and clustering.