A family of powerful, multimodal foundation models that handles text, image, video, and audio to build advanced applications.
Google Gemini is a family of proprietary, state-of-the-art multimodal foundation models (Flash, Pro, Ultra) developed by Google AI. It is designed to understand, operate on, and combine information across text, code, images, audio, and video inputs natively. It powers consumer products like the Gemini chatbot and is accessible to enterprises via Google Cloud's Vertex AI for building advanced, scalable AI applications.
Usage varies between the consumer application and the enterprise API:
Google Gemini is highly effective for comprehensive research synthesis. By processing large volumes of unstructured academic data, the model can identify a critical convergence of diverse fields, such as hydrology and atmospheric modeling, and pinpoint significant knowledge or funding shortfalls in specific domains. This capability is used by R&D organizations to inform strategic investment planning and prioritize future research directions.
In highly regulated sectors like financial services, Gemini can be deployed as a real-time Q&A system over massive compliance handbooks. It allows compliance officers to ask complex questions, such as those concerning KYC requirements for specific risk profiles, and receive accurate, synthesized answers with line-by-line source citations in seconds. This drastically reduces advisory time and minimizes the risk of human error.
