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  2. 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 and developed as a direct response to the meteoric rise of OpenAI 's ChatGPT, it was launched in a limited capacity in March 2023 before expanding to other countries in May.

  3. Gemini (language model) - Wikipedia

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

    Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, and Gemini Nano, it was announced on December 6, 2023, positioned as a competitor to OpenAI 's GPT-4. It powers the chatbot of the same name .

  4. 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 ...

  5. Google debuts powerful Gemini generative AI model in strike ...

    www.aol.com/finance/google-debuts-powerful...

    Loaded 0%. Google ( GOOG, GOOGL) on Wednesday debuted its new Gemini generative AI model. The platform serves as Google’s answer to Microsoft-backed ( MSFT) OpenAI’s GPT-4, and according to ...

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

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

    Google’s proprietary AI chatbot, Bard, has already been upgraded with a version of the Gemini model, the company said Wednesday, with plans to add Gemini to widely used products including Google ...

  7. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

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