Posted by Thomas Ezan, Sr Developer Relation Engineer With the advent of Generative AI, Android developers now have access to capabilities that were previously out of reach. For instance, you can now easily add image captioning to your app without any computer vision knowledge. With the upcoming launch of the stable version of VertexAI...

Posted by Thomas Ezan, Sr Developer Relation Engineer Thousands of developers across the globe are harnessing the power of the Gemini 1.5 Pro and Gemini 1.5 Flash models to infuse advanced generative AI features into their applications. Android developers are no exception, and with the upcoming launch of the stable version of VertexAI...

Posted by Paul Ruiz – Senior Developer Relations Engineer Earlier this year we launched Google AI Edge, a suite of tools with easy access to ready-to-use ML tasks, frameworks that enable you to build ML pipelines, and run popular LLMs and custom models – all on-device. For AI on Android Spotlight Week, the Google team is highlighting various...

Posted by Kateryna Semenova – Senior Developer Relations Engineer and Mark Sherwood – Senior Product Manager During AI on Android Spotlight Week, we're diving into how you can bring your own AI model to Android-powered devices such as phones, tablets, and beyond. By leveraging the tools and technologies available from Google and other...

Posted by Terence Zhang – Developer Relations Engineer, and Adrien Couque – Software Engineer AI can enhance the user experience and productivity of Android apps. If you're looking to build GenAI features that benefit from additional data privacy or offline inference, on-device GenAI is a good choice as it processes prompts directly...

Posted by Taj Darra – Product Manager Gemini, introduced last year, is Google’s most capable family of models yet; designed for flexibility, it can run on everything from data centers to mobile devices. Since announcing Gemini Nano, our most efficient model built for on-device tasks, we've been working with a limited set of partners...