Google launches Gemini

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Google has announced the launch of Gemini 1.0, its next-generation foundation model, which is available in three sizes: Nano, Pro, and Ultra. Gemini is a multimodal model, meaning it can understand, operate across, and combine different types of information including text, code, audio, images, and video. This allows for better understanding, reasoning, and coding capabilities. The model was pre-trained from the start on different modalities using TPU 4 and TPU v5e1. Gemini Nano will be available in Pixel 8 Pro, powering new features like Summarise in the Recorder app and Smart Reply via Gboard, starting with WhatsApp8. Gemini Pro will launch on December 13 for enterprise customers using Vertex AI, Google's fully managed machine learning platform4. Gemini Ultra, the largest and most capable model for highly complex tasks, is expected to be available early next year18. In the coming months, Gemini will be integrated into various Google products like Search, Ads, Chrome, and Duet AI. Early testing has shown Gemini reducing Search Generative Experience (SGE) latency by 40%1. Gemini will also be used to power Google's Bard chatbot and Search Generative Experience6. Despite its capabilities, Google acknowledges that Gemini, like similar systems, is prone to mistakes. It can get facts wrong or even "hallucinate" — make stuff up3. Google is currently completing extensive trust and safety checks, as well as model refinements, before broader availability for developers and enterprise customers1.
what are the differences between gemini nano, pro, and ultra
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