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  2. ChatGPT set to surpass 100M users faster than TikTok: UBS - AOL

    www.aol.com/finance/chatgpt-track-surpass-100...

    ChatGPT, the AI chatbot that's garnered widespread attention since its launch two months ago, is on track to surpass 100 million monthly active users (MAUs), according to data compiled by UBS.

  3. GUID Partition Table - Wikipedia

    en.wikipedia.org/wiki/GUID_Partition_Table

    Like MBR, GPT uses logical block addressing (LBA) in place of the historical cylinder-head-sector (CHS) addressing. The protective MBR is stored at LBA 0, and the GPT header is in LBA 1, with a backup GPT header stored at the final LBA. The GPT header has a pointer to the partition table (Partition Entry Array), which is typically at LBA 2 ...

  4. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    The first iteration, GPT-1, [18] was scaled up to produce GPT-2 in 2019; [19] in 2020, it was scaled up again to produce GPT-3, with 175 billion parameters. [20] [5] [21] DALL·E's model is a multimodal implementation of GPT-3 [22] with 12 billion parameters [5] which "swaps text for pixels," trained on text–image pairs from the Internet. [23]

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Some notable LLMs are OpenAI's GPT series of models (e.g., GPT-3.5, GPT-4 and GPT-4o; used in ChatGPT and Microsoft Copilot), Google's Gemini (the latter of which is currently used in the chatbot of the same name), Meta's LLaMA family of models, IBM's Granite models initially released with Watsonx, Anthropic's Claude models, and Mistral AI's ...

  6. AI, Like ChatGPT, Is Creating Teaching Challenges - AOL

    www.aol.com/news/ai-chatgpt-creating-teaching...

    There’s a new frontier in the world of higher education: artificial intelligence, specifically AI that can generate text, like ChatGPT. English professor Paul Fyfe at North Carolina State ...

  7. /pol/ - Wikipedia

    en.wikipedia.org/wiki/Pol

    In June 2022, it was made public that a chat bot named "GPT-4chan" was trained by Yannic Kilcher, a machine learning expert, using 134.5 million /pol/ posts. He allowed ten such bots to post on /pol/ without restriction for two periods of 24 hours, mimicking human users.

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