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  1. Boost your creativity and productivity with Google's AI by chatting to write, plan, learn, and more.

  2. gemini.google.com

  3. Chat with Google AI to boost your creativity and productivity. Gemini is the new name of Bard, a writing, planning and learning assistant.

  4. deepmind.google › technologies › geminiGemini - Google DeepMind

    The Gemini family of models are the most general and capable AI models we've ever built. They’re built from the ground up for multimodality — reasoning seamlessly across text, code, images, audio...

  5. 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.

  6. Dec 6, 2023 · We’ve optimized Gemini 1.0, our first version, for three different sizes: Gemini Ultra — our largest and most capable model for highly complex tasks. Gemini Pro — our best model for scaling across a wide range of tasks. Gemini Nano — our most efficient model for on-device tasks.

  7. 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.

  8. May 14, 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.

  9. Feb 15, 2024 · Last week, we rolled out our most capable model, Gemini 1.0 Ultra, and took a significant step forward in making Google products more helpful, starting with Gemini Advanced. Today, developers and Cloud customers can begin building with 1.0 Ultra too — with our Gemini API in AI Studio and in Vertex AI.

  10. Jun 26, 2024 · Dot, an AI designed to grow with a user and become increasingly personalized over time, leveraged Gemini 1.5 Flash for a number of information compression tasks that are key to their agentic long-term memory system. For Dot, 1.5 Flash performs similarly to more expensive models at under one-tenth the cost for tasks like summarization, filtering & re-ranking.

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