Contrastive learning is a machine learning technique that teaches models to recognise similarities and differences between pairs or groups of data. It does this by pulling similar items closer together in a feature space and pushing dissimilar items further apart. This approach helps the model learn more useful and meaningful representations of data, even when…

Latent space refers to a mathematical space where complex data like images, sounds, or texts are represented as simpler numerical values. These values capture the essential features or patterns of the data, making it easier for computers to process and analyse. In machine learning, models often use latent space to find similarities, generate new examples,…