Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.
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Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.
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A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.
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People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.
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This is a great example of a company using generative AI to open its software to more users.
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The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.
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The system effectively listens for “conversation patterns commonly associated with scams” in-real time.
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Google says that over 100,000 developers already tried the service.
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Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems.
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At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.
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