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Aug 20, 2024 · Google Gemini burst onto the scene in February 2024 and immediately made some big waves in the AI world, but it was the release of Gemini Live at the Made for Google event in August 2024 that ...
Feb 15, 2024 · In fact, we’re ready to introduce the next generation: Gemini 1.5. It shows dramatic improvements across a number of dimensions and 1.5 Pro achieves comparable quality to 1.0 Ultra, while using less compute. This new generation also delivers a breakthrough in long-context understanding. We’ve been able to significantly increase the amount ...
- Sundar Pichai
- 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.
- 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.
- Sophisticated reasoning. Gemini 1.0’s sophisticated multimodal reasoning capabilities can help make sense of complex written and visual information. This makes it uniquely skilled at uncovering knowledge that can be difficult to discern amid vast amounts of data.
May 20, 2024 · To achieve this level of scalability, Gemini was released in three sizes: Gemini Nano, Gemini Pro, and Gemini Ultra. Gemini Nano 1.0: The Gemini Nano model size is designed to run on smartphones ...
Dec 6, 2023 · Google today released a technical report that provides some details of Gemini’s inner workings. It does not disclose the specifics of the architecture, size of the AI model, or the collection of ...
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Dec 6, 2023 · Google announced the launch of its latest, most powerful AI model, Gemini, which has three sizes. Executives said Tuesday that Gemini Pro outperformed OpenAI’s GPT-3.5 but dodged questions about ...
