Nubank processes transaction data from 100 million users using transformer-based foundation models instead of traditional manual feature engineering. Their system converts raw transactions into tokenized sequences, trains models using self-supervised learning on trillions of transactions, and combines sequential embeddings with
Table of contents
Free NoSQL Training – and a Book by Discord Engineer Bo Ingram (Sponsored)Overall Architecture of Nubank’s SystemTransforming Transactions into Model-Ready SequencesTraining the Foundation ModelsBlending Sequential Embeddings with Tabular DataConclusionShipping late? DevStats shows you why. (Sponsored)SPONSOR USSort: