论文标题

Eleutherai:超越“开放科学”到“公开科学”

EleutherAI: Going Beyond "Open Science" to "Science in the Open"

论文作者

Phang, Jason, Bradley, Herbie, Gao, Leo, Castricato, Louis, Biderman, Stella

论文摘要

在过去的两年中,Eleutherai已确立了一项旨在促进开源研究和以透明,公开访问和协作方式进行研究的根本新型计划。 Eleutherai的研究方法超出了透明度:通过完全在公共场所进行研究,世界上的任何人都可以在每个阶段观察并做出贡献。我们的工作已得到积极收到,并在自然语言处理和其他领域进行了一些高影响力项目。在本文中,我们描述了进行公共面向公共机器学习研究的经验,我们相信这种方法带来的好处以及我们遇到的陷阱。

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.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源