Introduction The rapid evolution of large-scale machine learning models, such as GPTs, has created an undeniable impact across industries. However, with great power comes an equally significant challenge: ensuring transparency, trust, and accountability. A critical component of addressing these challenges is understanding data provenance, which refers to tracking the origin and lineage of data used in building and training these models. This article describes the … Continue reading Data Provenance in Large-Scale Models: Tracking the Origin and Lineage of Data for Model Transparency and Trust