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  2. Gemini (language model) - Wikipedia

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

    Google Gemini. Google 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, Gemini Flash, 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 .

  3. 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.

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

    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 ...

  5. 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 ...

  6. Alphabet’s Gemini AI rollout reveals the battle lines of the ...

    www.aol.com/finance/alphabet-gemini-ai-rollout...

    These allow people to interact with a chatbot powered by its Gemini models, as well as use generative AI features powered by the models in Google Docs, Gmail, and other Google Workspace products.

  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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