200 citations · 218 across the 6 of their papers we have counts for
6 papers
Towards Best Practices for Open Datasets for LLM Training
Stefan Baack, Stella Biderman, Kasia Odrozek +36
Many AI companies are training their large language models (LLMs) on data without the permission of the copyright owners. The permissibility of doing so varies by jurisdiction: in…
My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset
Jennifer Ding, Eva Jäger, Victoria Ivanova +1
Data grows in value when joined and combined; likewise the power of voice grows in ensemble. With 15 UK choirs, we explore opportunities for bottom-up data governance of a jointly…
AllTheDocks road safety dataset: A cyclist's perspective and experience
Chia-Yen Chiang, Ruikang Zhong, Jennifer Ding +3
Active travel is an essential component in intelligent transportation systems. Cycling, as a form of active travel, shares the road space with motorised traffic which often affects…
The BigCode Project Governance Card
BigCode collaboration, Sean Hughes, Harm de Vries +7
This document serves as an overview of the different mechanisms and areas of governance in the BigCode project. It aims to support transparency by providing relevant information ab…
StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi +64
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase…
Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives
Jennifer Ding, Christopher Akiki, Yacine Jernite +2
Open Artificial Intelligence (Open source AI) collaboratives offer alternative pathways for how AI can be developed beyond well-resourced technology companies and who can be a part…