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Gemini models — The Gemini family of models are the most general and capable AI models we've ever built. Ultra — Our largest model for highly complex tasks. Pro — Our best model for general performance across a wide range of tasks.
- Gemini Nano - Google DeepMind
Our most efficient model for . on-device, effortlessly...
- Introducing Gemini: Google’s most capable AI model yet
We’ve optimized Gemini 1.0, our first version, for three...
- Introducing Gemini 1.5, Google's next-generation AI model
Google has been an early adopter and pioneer of the MoE...
- Google DeepMind
Gemini models — The Gemini family of models are the most...
- Gemini Nano - Google DeepMind
May 14, 2024 · Our most efficient model for . on-device, effortlessly carrying out tasks such as text summarization, contextual smart replies, advanced proofreading, and grammar correction — with or without a data network.
- 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.
Feb 15, 2024 · Google has been an early adopter and pioneer of the MoE technique for deep learning through research such as Sparsely-Gated MoE, GShard-Transformer, Switch-Transformer, M4 and more. Our latest innovations in model architecture allow Gemini 1.5 to learn complex tasks more quickly and maintain quality, while being more efficient to train and serve.
- Sundar Pichai
May 17, 2024 · Gemini models — The Gemini family of models are the most general and capable AI models we've ever built. Ultra — Our largest model for highly complex tasks. Pro — Our best model for general performance across a wide range of tasks.
Google Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, Gemini Flash, and Gemini Nano, it was announced on December 6, 2023, positioned as a competitor to OpenAI 's GPT-4 .
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Dec 6, 2023 · Google’s new AI model Gemini launched today inside the Bard chatbot. It could go on to advance robotics and other projects, says Demis Hassabis, the AI executive leading the project.
