The article discusses how Visa leverages retrieval-augmented generation (RAG) and deep learning to enhance operations. It describes Visa's 'Secure ChatGPT,' which offers a multi-model interface for secure internal use, and how RAG improves policy-related data retrieval. The article also explores Visa's data infrastructure and AI's role in fraud prevention.
This article discusses the use of variational autoencoders (VAEs) to generate synthetic data as a solution to the impending data scarcity for training large language models. It explores how synthetic data can address issues like imbalanced datasets, particularly using the UCI Adult dataset, by generating synthetic samples to balance the dataset and improve classification accuracy.
