EleutherAI: Going Beyond "Open Science" to "Science in the Open"
October 12, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman
arXiv ID
2210.06413
Category
cs.CL: Computation & Language
Citations
17
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Over the past two years, EleutherAI has established itself as a radically novel initiative aimed at both promoting open-source research and conducting research in a transparent, openly accessible and collaborative manner. EleutherAI's approach to research goes beyond transparency: by doing research entirely in public, anyone in the world can observe and contribute at every stage. Our work has been received positively and has resulted in several high-impact projects in Natural Language Processing and other fields. In this paper, we describe our experience doing public-facing machine learning research, the benefits we believe this approach brings, and the pitfalls we have encountered.
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