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  2. Google DeepMind - Wikipedia

    en.wikipedia.org/wiki/Google_DeepMind

    Google DeepMind Technologies Limited is a British-American artificial intelligence research laboratory which serves as a subsidiary of Google.Founded in the UK in 2010, it was acquired by Google in 2014 [6] and merged with Google AI's Google Brain division to become Google DeepMind in April 2023.

  3. File:Google Bard logo.svg - Wikipedia

    en.wikipedia.org/wiki/File:Google_Bard_logo.svg

    Bard (chatbot) Usage on pt.wikinews.org Google planeja incorporar inteligência artificial Bard em seus aplicativos; Usage on qu.wikipedia.org Google Bard; Usage on sw.wikipedia.org Bard (roboti mazungumzo) Usage on www.wikidata.org Q116698014; Usage on zh-min-nan.wikipedia.org Google Gemini

  4. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  5. Michael Cohen used AI tool to generate bogus cases in court ...

    www.aol.com/michael-cohen-used-ai-tool-185355794...

    Michael Cohen, Donald Trump’s one-time lawyer and “fixer” used Google Bard, the artificial intelligence program, to provide his lawyer with fictitious legal citations, according to newly ...

  6. Jeff Dean - Wikipedia

    en.wikipedia.org/wiki/Jeff_Dean

    Dean joined Google in mid-1999, and was appointed the head of its Artificial Intelligence division in April 2018. [10] While at Google, he designed and implemented large portions of the company's advertising, crawling , indexing and query serving systems, along with various pieces of the distributed computing infrastructure that underlies most ...

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

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