The Magic of Tokenization in Neural Networks

Tokenization in neural networks involves breaking down any piece of information into atomic units, such as visiospatial elements or semantic units like sentences, to create a data stream for deep neural networks. This process is essential for feeding information into a multi-layer transformer with encoder and decoder phases, enabling the creation of internal representations facilitating the understanding of various types of data.