Gen AI data chain at scale

Generative AI workflows heavily rely on data-centric tasks—such as filtering samples by annotation fields, vector distances, or scores produced by custom classifiers. At the same time, computer vision datasets are quickly approaching petabyte volumes, rendering data wrangling difficult. In addition, the iterative nature of data preparation necessitates robust dataset sharing and versioning mechanisms, both of which are hard to implement ad-hoc. In this workshop we will introduce DVCx - a

D

Dmytro Spodarets

Nov 17, 2023

Save

Xin