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- Sundar Pichai
- Introducing Gemini. By Demis Hassabis, CEO and Co-Founder of Google DeepMind, on behalf of the Gemini team. AI has been the focus of my life's work, as for many of my research colleagues.
- State-of-the-art performance. We've been rigorously testing our Gemini models and evaluating their performance on a wide variety of tasks. From natural image, audio and video understanding to mathematical reasoning, Gemini Ultra’s performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development.
- Next-generation capabilities. Until now, the standard approach to creating multimodal models involved training separate components for different modalities and then stitching them together to roughly mimic some of this functionality.
- More reliable, scalable and efficient. We trained Gemini 1.0 at scale on our AI-optimized infrastructure using Google’s in-house designed Tensor Processing Units (TPUs) v4 and v5e.
Dec 6, 2023 · Google Cloud announces support for Gemini, Google’s most capable AI model, on Vertex AI. Bringing Gemini to organizations everywhere Today, we’re introducing important new capabilities across our AI stack in support of Gemini, our most capable and general model yet.
May 14, 2024 · We’re introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future of AI assistants.
- Demis Hassabis
Integrate Gemini models into your applications with Google AI Studio and Google Cloud Vertex AI.
Build with gemini. Build AI apps and agents with Gemini models. Seamlessly integrate the Gemini API into your apps with Google AI Studio or leverage enterprise-grade AI with Google Cloud Vertex AI.
gemini.google.com
Discover Bard, an AI experiment by Google that can help boost your creativity and productivity.
