All You Need to Know About Google’s  Generative AI Family: Gemini  

Sasha Hanzha
Digital artwork depicting a robotic face with a prominent 'AI' label against a background of circuit-like patterns, representing the complex network of generative AI technologies.

Gemini by Google has been recently launched, and if you want to learn more about what this AI platform offers, you want to keep reading.  

Two businessmen looking at a tablet with AI-brain interface graphics, denoting strategic planning and decision-making powered by generative AI technology.

What is Gemini?  

Gemini is a generative AI model family. It comes in 3 models: Gemini Ultra, Pro, and Nano.  

Gemini Ultra is the most advanced model, Pro is a lighter version, and Nano is a smaller model designed for mobile devices like the Pixel 8 Pro.  

Like chat GPT, Google’s AI is multimodal, which means it can process audio, images, videos, and text.  

What can Gemini do?  

Gemini Ultra  

Works in Google apps and services. It is designed to help with homework, finding relevant research, and generating images.   

A human hand and a robot hand collaborating on a laptop, highlighting the partnership between humans and generative AI in the workplace.

Gemini Pro  

Its capabilities vary based on the platform; for example, it is available through Google’s Vertex AI and AI Studio, where it offers text and image processing and will soon support custom chatbots and other features.  

Gemini Nano  

A smaller version that is efficient enough to run on some phones. On Pixel 8 Pro, Gemini powers features like Summarize in the Recorder app and Smart Reply in Gboard.   

A hand holding a smartphone that projects a futuristic holographic interface, symbolizing the advanced capabilities and interactive nature of generative AI applications.

For more information, you can access the full article here.   

Our Take on AI Integration 

Recently, many conversations have discussed how AI is entering mobile phones. Gemini Nano is one of those technologies leading the way. We will see more and more AI penetrating every possible interface to make it better and more efficient.  

This is a green light for everyone considering incorporating AI in their organization because the sooner you do that, the more advantage you have over your competition. Although Gemini is trained on quality data like any other AI, it has bias issues and can generate unethical results.   

A businessman and a robot face each other, engaging in conversation, illustrating the interactive potential of generative AI in human-machine communication.

That is why we need to have human supervision if only to act as a firewall against inadvertent misuse. Within Augmented Experts, AI is used as an adjunct to the industry expert. The industry expert is in the driver’s seat and imparts their experience, expertise, and industry knowledge, adding significant value.   

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