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  2. Google reveals Gemini AI, its ‘largest science and ... - AOL

    www.aol.com/google-reveals-gemini-ai-largest...

    Google claims Gemini is the first AI model to beat “human experts” in its range of intelligence tests. It plans to launch in English first, but will expand to different languages and other ...

  3. Gemini (language model) - Wikipedia

    en.wikipedia.org/wiki/Gemini_(language_model)

    Gemini's launch was preluded by months of intense speculation and anticipation, which MIT Technology Review described as "peak AI hype". [46] [20] In August 2023, Dylan Patel and Daniel Nishball of research firm SemiAnalysis penned a blog post declaring that the release of Gemini would "eat the world" and outclass GPT-4, prompting OpenAI CEO Sam Altman to ridicule the duo on X (formerly Twitter).

  4. Gemini (chatbot) - Wikipedia

    en.wikipedia.org/wiki/Gemini_(chatbot)

    Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 after being developed as a direct response to the rise of OpenAI 's ChatGPT. It was previously based on PaLM, and initially the LaMDA family of large language models.

  5. Google rebrands Bard AI to Gemini and launches a new app and ...

    www.aol.com/news/google-rebrands-bard-ai-gemini...

    Google on Thursday announced a major rebrand of Bard, its artificial intelligence chatbot and assistant, including a fresh app and subscription options.

  6. Google launches Gemini, its most-advanced AI model yet, as it ...

    www.aol.com/google-launches-gemini-most-advanced...

    The scope of Google’s ambitions were reflected in the company’s announcement, which introduced Gemini as the company’s “largest and most capable AI model” and declared a “Gemini era ...

  7. Google AI - Wikipedia

    en.wikipedia.org/wiki/Google_AI

    Google Assistant: is a virtual assistant software application since 2023 developed by Google AI. Serving cloud-based TPUs (tensor processing units) in order to develop machine learning software. [8][9] The TPU research cloud provides free access to a cluster of cloud TPUs to researchers engaged in open-source machine learning research.

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