Gemini AI is a family of generative AI models developed by Google AI research labs DeepMind and Google Research. The models are designed to be multimodal, meaning they can understand and operate across various types of information, including text, code, audio, image, and video. Gemini AI comes in three sizes:
1. Gemini Ultra, the flagship model, which is the largest and most capable for highly complex tasks.
2. Gemini Pro, a lite version that is an improvement over LaMDA in reasoning, planning, and
3. Gemini Nano, a smaller model designed for on-device tasks, such as those on Android devices like the
Gemini AI models are trained to be natively multimodal, meaning they can work with and use more than just words. They were pretrained and fine-tuned on a variety of audio, images, videos, a large set of codebases, and text in different languages.Gemini 1.5 Pro is the latest iteration of the Gemini AI family, which introduces a breakthrough experimental feature in long-context understanding and a standard 128,000 token context window, which can be expanded to up to 1 million tokens for select developers and enterprise customers.
Gemini AI models are part of Google broader efforts to make AI more helpful for billions of people and to enable a future of innovation, extending knowledge, advancing science, and transforming the way people live and work.