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  2. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    It is a very fast sub-type of LFSR generators. Marsaglia also suggested as an improvement the xorwow generator, in which the output of a xorshift generator is added with a Weyl sequence. The xorwow generator is the default generator in the CURAND library of the nVidia CUDA application programming interface for graphics processing units.

  3. Character.ai - Wikipedia

    en.wikipedia.org/wiki/Character.ai

    Character.ai. Character.ai (also known as c.ai or Character AI) is an American 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 ...

  4. Mersenne Twister - Wikipedia

    en.wikipedia.org/wiki/Mersenne_Twister

    Mersenne Twister. The Mersenne Twister is a general-purpose pseudorandom number generator (PRNG) developed in 1997 by Makoto Matsumoto [ ja] (松本 眞) and Takuji Nishimura (西村 拓士). [1] [2] Its name derives from the choice of a Mersenne prime as its period length.

  5. WhatsApp is testing an AI sticker generator - AOL

    www.aol.com/whatsapp-testing-ai-sticker...

    It seems as though everyone is rushing to use artificial intelligence to pimp their products, from Snapchat to Google Chrome and WhatsApp as well. The Meta-owned messaging app is reportedly ...

  6. WhatsApp - Wikipedia

    en.wikipedia.org/wiki/WhatsApp

    WhatsApp (officially WhatsApp Messenger) is an instant messaging (IM) and voice-over-IP (VoIP) service owned by technology conglomerate Meta. It allows users to send text , voice messages and video messages, [15] make voice and video calls, and share images, documents, user locations, and other content.

  7. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot 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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