Continuous Representation

Continuous representation is a way of modeling data—like words, images, or sounds—using numbers arranged smoothly in a multi-dimensional space. Instead of assigning each item a fixed label, this approach captures nuanced relationships by representing similar items with nearby points. For example, in language processing, words with similar meanings (like "king" and "queen") are positioned close together, allowing algorithms to understand and process their connections more effectively. This method enables machines to grasp subtle differences and similarities within complex data, making it a powerful tool in fields like artificial intelligence and machine learning.