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  2. ChatGPT in education - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_in_education

    Assessment psychologist Eka Roivainen's study suggested ChatGPT's verbal IQ approximates the top 0.1% of test-takers. [8] One notable drawback of ChatGPT is occasional inaccuracies detected in academic assignments, particularly in technical subjects such as mathematics, as noted by educators like Ethan Mollick from the Wharton School.

  3. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model trained and 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 ...

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    For example, GPT-4 has natural deficits in planning and in real-time learning. [110] Generative LLMs have been observed to confidently assert claims of fact which do not seem to be justified by their training data, a phenomenon which has been termed "hallucination". [116]

  5. 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. [193] 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. [194]

  6. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] 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.

  7. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Other scholars have disputed that GPT-4 reaches this threshold, calling generative AI "still far from reaching the benchmark of ‘general human intelligence’" as of 2023. [44] In 2023, Meta released an AI model called ImageBind which combines data from text, images, video, thermal data, 3D data, audio, and motion which is expected to allow ...

  8. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]

  9. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    Generative Pre-trained Transformer 3.5 (GPT-3.5) is a sub class of GPT-3 Models created by OpenAI in 2022. On March 15, 2022, OpenAI made available new versions of GPT-3 and Codex in its API with edit and insert capabilities under the names "text-davinci-002" and "code-davinci-002". [ 28 ]