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Building on our Gemini models, we’ve developed AI agents that can quickly process multimodal information, reason about the context you’re in, and respond to questions at a conversational pace, making interactions feel much more natural.
- The Gemini ecosystem represents Google's most capable AI
Built upon years of our field-defining AI research, the...
- Introducing Gemini: Google’s most capable AI model yet
We’ve optimized Gemini 1.0, our first version, for three...
- Everything to know about Gemini, Google’s new AI model
Built from the ground up to be multimodal, Gemini can...
- Introducing Gemini 1.5, Google's next-generation AI model
Today, we’re announcing our next-generation model: Gemini...
- Gemini Pro - Google DeepMind
Integrate Gemini models into your applications with Google...
- The Gemini ecosystem represents Google's most capable AI
Built upon years of our field-defining AI research, the Gemini models are the largest science and engineering project we've ever undertaken. They are built from the ground up for multimodality — reasoning seamlessly across text, images, audio, video, and code.
- 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.
Jun 28, 2024 · 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 four flavors: Gemini Ultra, the most...
Dec 6, 2023 · Built from the ground up to be multimodal, Gemini can generalize and seamlessly understand, operate across and combine different types of information, including text, images, audio, video and code. This means it has sophisticated multimodal reasoning and advanced coding capabilities.
Feb 15, 2024 · Today, we’re announcing our next-generation model: Gemini 1.5. Gemini 1.5 delivers dramatically enhanced performance. It represents a step change in our approach, building upon research and engineering innovations across nearly every part of our foundation model development and infrastructure.
May 14, 2024 · Integrate Gemini models into your applications with Google AI Studio and Google Cloud Vertex AI.
