Publications (10)
The Future of Open Human Feedback
Shachar Don-Yehiya, Ben Burtenshaw, Ramon Fernandez Astudillo +17
Human feedback on conversations with language language models (LLMs) is central to how these systems learn about the world, improve their capabilities, and are steered toward desir…
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…
A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
Johan Linåker, Cailean Osborne, Jennifer Ding +1
The proliferation of open large language models (LLMs) is fostering a vibrant ecosystem in artificial intelligence (AI). However, the methods of collaboration used to develop open…
The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
Cailean Osborne, Jennifer Ding, Hannah Rose Kirk
Open model developers have emerged as key actors in the political economy of artificial intelligence (AI), but we still have a limited understanding of collaborative practices in t…
Tracking the Dynamics of the Tear Film Lipid Layer
Tejasvi Kothapalli, Charlie Shou, Jennifer Ding +5
Dry Eye Disease (DED) is one of the most common ocular diseases: over five percent of US adults suffer from DED. Tear film instability is a known factor for DED, and is thought to…
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…
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…
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…
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…
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…