Google is set to bring its large language models to Android devices starting next year, revealed Brian Rakowski from Google’s Pixel smartphone segment. This is part of the tech company’s continuous drive to enhance user experience and increase accessibility to its AI capabilities. Such an update promises improved device functionality and performance, with a particularly positive impact on the interpretation of user voice commands.
Although an exact roll-out date remains undetermined, the current plan is that Google’s Gemini AI models will be available for Android devices by 2025. Currently, these models are exclusive to cloud-based platforms. This transition will greatly extend the reach of Google’s Gemini AI models, thereby providing Android users with access to top-tier artificial intelligence technology.
The integration of AI into Android devices is expected to revolutionalize how we utilize our devices. It suggests potential improvements in efficiency in several sectors, such as communication, entertainment, and productivity. Such a move aligns with Google’s goal of making AI a central part of our daily lives.
Interestingly, Google’s Gemini AI model is a competitor of Microsoft-owned OpenAI’s GPT-4 AI model. Android devices currently come with Gemini Nano pre-installed—a smaller version of Google’s primary AI model. This highlights Google’s commitment to AI and its determination to provide leading AI capabilities despite the competitive landscape.
At this stage, large language models are only available through remote data centers. But from next year, they could form a fundamental feature of Android devices. Rakowski has shown confidence in Google’s advancement in adapting its Gemini model to suit device-based characteristics and believes in the prospects of bringing all AI models onto the device itself.
Rakowski suggests that the Gemini Nano is performing at a level similar to the company’s online models from less than a year ago. Google’s objective with incorporating these AI models into routine appliances is to seamlessly unify technology with daily living, hinting at a future where AI is fully integrated into our everyday devices.
