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  2. Character.ai - Wikipedia

    en.wikipedia.org/wiki/Character.ai

    Character.ai (also known as c.ai or Character AI) is a neural language model chatbot service that can generate human-like text responses and participate in contextual conversation. Constructed by previous developers of Google's LaMDA , Noam Shazeer, and Daniel De Freitas, the beta model was made available to use by the public in September 2022.

  3. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.

  4. Former OpenAI board member reveals why Sam Altman was ... - AOL

    www.aol.com/finance/former-openai-board-member...

    Even the very launch of ChatGPT, which sparked the generative AI frenzy when it debuted in November 2022, was withheld from the board, according to Toner. "We learned about ChatGPT on Twitter ...

  5. 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.

  6. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    GitHub Copilot. GitHub Copilot is a code completion tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [1] Currently available by subscription to individual developers and to businesses, the generative artificial ...

  7. Generative pre-trained transformer - Wikipedia

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

    History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. 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.

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