FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raza, Shaina, Ghuge, Shardul, Ding, Chen, Dolatabadi, Elham, Pandya, Deval
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2401.11033