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  2. GPT-4o | Wikipedia

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

    GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2] It can process and generate text, images and audio. [3] Its application programming interface (API) is twice as fast and half the price of its predecessor ...

  3. GPT-4 | Wikipedia

    en.wikipedia.org/wiki/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 Microsoft Copilot. [2] As a transformer -based model, GPT-4 uses a paradigm where ...

  4. ChatGPT | Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is an AI chatbot program developed by OpenAI, using large language models based on GPT architectures. Learn how it can converse in different languages and styles.

  5. You can now use ChatGPT for free without a login | AOL

    www.aol.com/lifestyle/now-chatgpt-free-without...

    A $20 a month Plus subscription offers access to GPT 4’s features, including voice input, image-enabled chat and image creation using OpenAI’s DALL-E tool.

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

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

    Understanding images is just one way Chat GPT-4 goes beyond its predecessor. The creators behind the increasingly popular ChatGPT tool unveiled a new version of the generative artificial ...

  7. OpenAI o1 | Wikipedia

    en.wikipedia.org/wiki/OpenAI_o1

    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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