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Vaultgemma：世界上最有能力的差异私人LLM
我们介绍了Vaultgemma，这是具有差异隐私从头开始训练的最强大的模型。
来源:DeepMind - 新闻与博客致谢
We'd like to thank the entire Gemma and Google Privacy teams for their contributions and support throughout this project, in particular, Peter Kairouz, Brendan McMahan and Dan Ramage for feedback on the blog post, Mark Simborg and Kimberly Schwede for help with visualizations, and the teams at Google that helped with algorithm design, infrastructure implementation, and production maintenance. The following people directly contributed to the work presented here (ordered alphabetically): Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Lynn Chua, Prem Eruvbetine, Badih Ghazi, Steve He, Yangsibo Huang, Armand Joulin, George Kaissis, Pritish Kamath, Ravi Kumar, Daogao Liu, Ruibo Liu, Pasin Manurangsi，Thomas Mesnard，Andreas Terzis，Tris Warkentin，Da Yu和Chiyuan Zhang。