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  2. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    Website. openai.com /gpt-4. Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. [1] It was launched on March 14, 2023, [1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot ...

  3. GPT-4o - Wikipedia

    en.wikipedia.org/wiki/GPT-4o

    GPT-4o (GPT-4 Omni) is a multilingual, multimodal generative pre-trained transformer designed by OpenAI. It was announced by OpenAI's CTO Mira Murati during a live-streamed demonstration on 13 May 2024 and released the same day. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2]

  4. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    chatgpt.com. ChatGPT is a large-scale language model -based chatbot developed by OpenAI and launched on November 30, 2022. It utilizes a deep learning model to generate human-like conversational responses and enables users to refine and steer the conversation towards a desired length, format, style, level of detail, and language. [2]

  5. Understanding images is just one way Chat GPT-4 goes ... - AOL

    www.aol.com/news/understanding-images-just-one...

    The creators behind the increasingly popular ChatGPT tool unveiled a new version of the generative artificial intelligence (AI) tool, known as GPT-4, Tuesday. The updated version of OpenAI’s ...

  6. Microsoft Bing - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Bing

    Microsoft Copilot, formerly known as Bing Chat, is an chatbot developed by Microsoft and released in 2023. Copilot utilizes the Microsoft Prometheus model, [51] built upon OpenAI's GPT-4 foundational large language model, [52] which in turn has been fine-tuned

  7. OpenAI o1 - Wikipedia

    en.wikipedia.org/wiki/OpenAI_o1_(GPT)

    According to OpenAI, o1 has been trained using a new optimization algorithm and a dataset specifically tailored to it. The training leverages reinforcement learning. [5]o1 spends additional time thinking (generating a chain of thought) before generating an answer, which makes it more effective for complex reasoning tasks, particularly in science and programming. [1]

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