Google confirmed at its annual developer conference that it will integrate its miniature artificial intelligence model, Gemini Nano, directly into the Chrome browser for desktop computers starting from version 126.
Chrome uses Gemini Nano to power smart features across the device, such as generating text using artificial intelligence.
The company states that this allows developers to leverage the model available across the device to implement artificial intelligence features.
Google plans to utilize this new capability to enable features like the “Help me write” tool developed in the Workspace Lab workshop, which will be accessible in the Gmail email service.
According to Google, the Gemini Nano model has been modified and the browser optimized to ensure smooth deployment of the model on Chrome.
The company confirms that its support for WebGPU and WASM in Chrome is what has allowed these models to respond quickly across different types of devices.
Google is negotiating with developers of other browsers to enable this feature – or a similar feature – in their own browsers as well.
The company stated: “We have begun engaging with other browsers and we are launching an early preview program for developers. We believe the web is ready for artificial intelligence thanks to the integration of webGPU, WASM, and Gemini in Chrome.”
This integration allows you to perform various tasks, such as creating product reviews and social media posts directly from within the programs.
In the same vein, Microsoft added the Copilot artificial intelligence assistant to Edge last year, allowing you to ask questions and summarize information displayed on your screen.
However, the Copilot feature does not work locally on the Edge browser as it does with Gemini Nano on Chrome.
The company relies on supporting a number of high-level application programming interfaces in Chrome to translate text and provide tooltips in the browser using Gemini models.
Google also announced the availability of Gemini Nano in the Chrome DevTools console, which developers use to debug and modify their applications.
The Gemini Nano artificial intelligence model can provide error explanations as well as suggestions on how to solve programming problems.
