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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, 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.

  3. Google rolls out a major expansion of its Bard AI chatbot

    www.aol.com/google-rolls-major-expansion-bard...

    But now, Bard will draw on information from Google’s various other services, too. With the new extensions, Bard will now pull information from YouTube, Google Maps, Flights and Hotels by default.

  4. Google rebrands Bard chatbot as Gemini, rolls out paid ...

    www.aol.com/news/google-rebrands-bard-chatbot...

    Google on Thursday renamed its Bard chatbot after the new artificial intelligence that is powering it, called Gemini, and said consumers can pay for better reasoning capabilities as it vies with ...

  5. Google’s Bard can now pull information from your apps, gets ...

    www.aol.com/finance/google-bard-now-pull...

    For now, Bard Extensions are only available in English and for consumer versions of the company’s apps. But Krawczyk said Google is currently working on a version for its enterprise apps.

  6. LaMDA - Wikipedia

    en.wikipedia.org/wiki/LaMDA

    LaMDA (Language Model for Dialogue Applications) is a family of conversational large language models developed by Google.Originally developed and introduced as Meena in 2020, the first-generation LaMDA was announced during the 2021 Google I/O keynote, while the second generation was announced the following year.

  7. BERT (language model) - Wikipedia

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

    BERT (language model) Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1][2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture. It was notable for its dramatic improvement over ...

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