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  2. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    e. 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]

  3. 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.

  4. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    They said that GPT-4 could also read, analyze or generate up to 25,000 words of text, and write code in all major programming languages. Observers reported that the iteration of ChatGPT using GPT-4 was an improvement on the previous GPT-3.5-based iteration, with the caveat that GPT-4 retained some of the problems with earlier revisions.

  5. ChatGPT-4 vs. 3.5: Which Version Offers More Money-Making ...

    www.aol.com/finance/chatgpt-4-vs-3-5-170413903.html

    ChatGPT-4, OpenAI’s latest large language model (LLM) has certain advantages over ChatGPT-3.5 in terms of language understanding, context retention and generation of coherent responses.

  6. GPT4-Chan - Wikipedia

    en.wikipedia.org/wiki/GPT4-Chan

    Generative Pre-trained Transformer 4Chan (GPT4-Chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. . The model is a large language model, which means it can generate text based on some input, by fine-tuning GPT-J with a dataset of millions of posts from the /pol/ board of 4chan, an anonymous online forum known for hosting ...

  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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