Good news: Google will integrate Gemini Nano into Chrome for desktop

Good news: Google will integrate Gemini Nano into Chrome for desktop

Integrating Gemini Nano into Chrome for desktop was another new feature at the I/O conference, which devoted two hours to AI technology.

The browser will be able to generate plain text for posts on social networks or product reviews, with full respect for users' privacy.

Gemini Nano on Chrome from version 126

Google Chrome has undergone some changes to get Gemini Nano Crédito@NathanaRebouças/Unsplash

According to information released at the I/O conference, Gemini Nano will be present in Chrome starting with version 126 of the popular browser.

Remember, Gemini Nano is Google's lightest large language model (LLM) and is designed to be integrated into mobile devices that need to save power. In fact, the Gemini Nano is already an integral part of the research giant's Pixel 8 and Pixel 8 Pro smartphones.

As mentioned earlier, with Gemini Nano, Chrome will be able to create small texts suitable for posts on social networks or for product descriptions. To make everything run smoothly and quickly, Google has made some changes to both the LLM Nano model and its popular browser.

According to the company itself, Gemini Nano will also be present in DevTools, which means it can provide explanations for error messages and also suggestions for debugging code issues.

Google's Gemini Nano sets itself apart from competitors in the privacy arena

But Google had another surprise for its followers. This integration of Gemini Nano into Chrome brings with it a special and very welcome feature that sets it apart from its more direct competitors.

This is because the LLM model will operate all its resources at the local level. In other words, everything will happen locally on the device, in order to fully respect the user's privacy.

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This is the big difference between Google's choice and the competition from Microsoft's browser with CoPilot. All because Edge relies on cloud servers to run AI models and produce results.

By Chris Skeldon

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