Google has quietly released the AI Edge Gallery app, which lets users download models and run them locally without Internet connectivity. Available for Android and eventually on iOS, the experimental app is hosted on GitHub where it can be downloaded for free. Users can find compatible models capable of running on-device, like Google’s Gemma 3n, and run them offline to do things like generate images, get answers to questions, and write and edit code using the processor of supported smartphones. While locally running models aren’t as powerful as their cloud counterparts, they offer more privacy and can sometimes be faster. Continue reading Google AI Edge Gallery App Runs Models Locally on Android

Google has unveiled three additions to its Gemma 2 family of compact yet powerful open-source AI models, emphasizing safety and transparency. The company’s Gemma 2 2B is a 2.6 billion parameter update to the lightweight 2B parameter Gemma 2, with built-in improvements in safety and performance. Built on Gemma 2, ShieldGemma is a suite of safety content classifier models that “filter the input and outputs of AI models and keep the user safe.” Interoperability model tool Gemma Scope offers what Google calls “unparalleled insight into our models’ inner workings.” Continue reading Latest Gemma 2 Models Emphasize Security and Performance