
Google Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind. Unlike models built for a single format, Gemini is natively multimodal, which means it can process and understand different types of information in one place, including text, code, audio, images, and video. That makes it easier to handle real-world inputs the way people actually encounter them.
Google Gemini comes in three sizes so you can pick the right fit for the job. Gemini Ultra is the largest and most capable model, intended for highly complex tasks that demand the most power. Gemini Pro is designed for a wide range of everyday tasks and is available through the Gemini API, making it a practical choice for developers building AI-powered applications. Gemini Nano is designed for on-device tasks on mobile devices, bringing AI features directly to your phone without heavy reliance on the cloud.
Beyond capability, Google Gemini is designed to be responsible and safe. It includes features like safety filters and privacy controls, giving individuals, developers, and organizations more confidence when putting AI to work across their products and workflows.

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