Latent space refers to a mathematical representation or space where complex data or information is encoded into a more condensed and meaningful form. It is often used in machine learning and artificial intelligence to capture the essence or underlying structure of data, allowing for exploration, manipulation, and generation of new data points with similar characteristics.
