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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant 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.

  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 demo on 13 May 2024 and released the same day. [1] GPT-4o is free, but with a usage limit that is 5 times higher for ChatGPT Plus subscribers. [2]

  4. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    Machine learningand data mining. 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 ...

  5. ChatGPT maker OpenAI announces new 'flagship' model - AOL

    www.aol.com/finance/chatgpt-maker-openai...

    May 13, 2024 at 10:25 AM. OpenAI, the artificial intelligence start-up behind chatbot ChatGPT, announced Monday it is rolling out a "new flagship model" that will be available to users for free ...

  6. OpenAI unveils newest AI model, GPT-4o - AOL

    www.aol.com/openai-unveils-newest-ai-model...

    May 13, 2024 at 12:38 PM. ChatGPT is about to become a lot more useful. OpenAI on Monday announced its latest artificial intelligence large language model that it says will make ChatGPT smarter ...

  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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