Google Gemini: Everything you need to know about the new generative AI platform

 Google’s trying to make waves with Gemini, a new generative AI platform that recently made its big debut. But while Gemini appears to be promising in a few aspects, it’s falling short in others. So what is Gemini? How can you use it? And how does it stack up to the competition?

To make it easier to keep up with the latest Gemini developments, we’ve put together this handy guide, which we’ll keep updated as new Gemini models and features are released.
What is Gemini?

Gemini is Google’s long-promised, next-gen generative AI model family, developed by Google’s AI research labs DeepMind and Google Research. It comes in three flavors:

    Gemini Ultra, the flagship Gemini model
    Gemini Pro, a “lite” Gemini model
    Gemini Nano, a smaller “distilled” model that runs on mobile devices like the Pixel 8 Pro

All Gemini models were trained to be “natively multimodal” — in other words, able to work with and use more than just text. They were pre-trained and fine-tuned on a variety audio, images and videos, a large set of codebases, and text in different languages.

That sets Gemini apart from models such as Google’s own large language model LaMDA, which was only trained on text data. LaMDA can’t understand or generate anything other than text (e.g. essays, email drafts and so on) — but that isn’t the case with Gemini models. Their ability to understand images, audio and other modalities is still limited, but it’s better than nothing.