Part 4/9:
The self-supervised learning network developed by Stripe aggregates vast numbers of transaction signals into a single embedding. This embedding allows the model to observe and analyze tens of billions of transactions in a high-dimensional vector space. Remarkably, this approach enabled the identification of patterns and similarities between transactions, facilitating the detection of fraudulent attempts.