Transparency is often lacking in datasets used to train large language models

The Data Provenance Explorer can help machine-learning practitioners make more informed choices about the data they train their models on, which could improve the accuracy of models deployed in the real world.

The Data Provenance Explorer can help machine-learning practitioners make more informed choices about the data they train their models on, which could improve the accuracy of models deployed in the real world.

Read more https://www.sciencedaily.com/releases/2024/08/240830110916.htm