Making AI work for everyone, everywhere: our approach to localization

1. 1Understand the importance of localization in AI development
2. 2Identify key factors such as language, laws, and culture that impact model performance
3. 3Develop strategies for adapting global models to local contexts
4. 4Test and refine localized models to ensure safety and effectiveness

AI engineers and researchers on a team can benefit from understanding localization approaches to ensure their models are effective globally, while product managers can use this knowledge to inform product development and expansion strategies

💡 Globally shared frontier models can be adapted to local languages, laws, and cultures without sacrificing safety

🌎 Adapting AI to local contexts without compromising safety