Learn how to set up Gemini Nano, Google’s latest built-in AI, in your Chrome browser. Discover how it can be used to create practical applications, without compromising privacy or relying on server-side solutions. With Gemini Nano, you can bring top-notch AI capabilities to your users with a snappy user experience, even when they’re offline. All you need is Windows 10 or MacOS 13, an integrated GPU, and 22GB of storage. Read more on Medium and join the AI newsletter with over 80,000 subscribers for the latest updates and developments in AI. Interested in sponsoring? Consider joining thousands of other data leaders
Disclaimer: This post has been created automatically using generative AI. Including DALL-E, Gemini, OpenAI and others. Please take its contents with a grain of salt. For feedback on how we can improve, please email us
Introduction
The technology world is constantly evolving, and one of the latest advancements is the integration of built-in AI in Google Chrome. This feature was announced in Google’s I/O event and has now been released in the newest Canary release and Dev channel. This built-in AI, called Gemini Nano, is gaining popularity and is set to change the game for web-based AI solutions. In this blog post, we will explore how to set up Gemini Nano in your browser and how to build a practical use case with it.
Setting up Gemini Nano in Your Browser
To start using Gemini Nano, you need to have at least Windows 10 or MacOS 13, an integrated GPU, and 22GB of storage. However, the model itself doesn’t take up much space, so you don’t need to worry about storage limitations. To set up Gemini Nano in your browser, you can follow these simple steps:
1. Install the latest version of Google Chrome Canary or Dev channel.
2. Go to chrome://flags and enable the “Experimental Web Platform features” flag.
3. Restart your browser.
4. Go to chrome://flags again and enable the “Experimental Web Platform features” flag.
5. Restart your browser again.
6. Go to chrome://settings and search for “Gemini Nano” in the search bar.
7. Enable the “Enable built-in AI” option.
8. Restart your browser for the final time.
Congratulations, you have now successfully set up Gemini Nano in your browser!
Building a Practical Use Case With Gemini Nano
Now that you have Gemini Nano set up in your browser, you can start building a practical use case with it. Gemini Nano allows you to bring top-notch LLM capabilities to your users without compromising their privacy. This means that you can deliver a snappy user experience without any middleman involved. In some cases, you can even build offline-first products where your users can access built-in AI even when they are not connected to the internet.
Gemini Nano is also great for building AI features for the web. Traditionally, server-side solutions have been the default for building AI features, but with Gemini Nano, you can now build these features directly into your web application. This eliminates the need for network round trips, resulting in a faster and more efficient user experience.
Conclusion
In conclusion, Google’s new built-in AI model, Gemini Nano, is gaining popularity and is changing the landscape of web-based AI solutions. With its ability to provide top-notch AI capabilities while maintaining privacy and delivering a seamless user experience, built-in AI is poised to become the preferred option for developers and users alike. By eliminating the need for server-side solutions, Gemini Nano allows for offline first products and opens up new possibilities for AI integration. To stay updated on the latest advancements in AI, subscribe to Towards AI and join the growing community of data leaders.
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