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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    OpenAI's GPT-4 model was released on March 14, 2023. Observers saw it as an impressive improvement over GPT-3.5, with the caveat that GPT-4 retained many of the same problems. [88] Some of GPT-4's improvements were predicted by OpenAI before training it, while others remained hard to predict due to breaks [89] in downstream scaling laws.

  3. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    An instance of GPT-2 writing a paragraph based on a prompt from its own Wikipedia article in February 2021. Generative Pre-trained Transformer 2 ("GPT-2") is an unsupervised transformer language model and the successor to OpenAI's original GPT model ("GPT-1"). GPT-2 was announced in February 2019, with only limited demonstrative versions ...

  4. Hallucination (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Hallucination_(artificial...

    In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, [ 1][ 2] confabulation[ 3] or delusion[ 4]) is a response generated by AI which contains false or misleading information presented as fact. [ 5][ 6][ 7] This term draws a loose analogy with human psychology, where hallucination ...

  5. 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] [18] 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.

  6. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    The first GPT model was known as "GPT-1," and it was followed by "GPT-2" in February 2019. Created as a direct scale-up of its predecessor, GPT-2 had both its parameter count and dataset size increased by a factor of 10. It had 1.5 billion parameters, and was trained on a dataset of 8 million web pages. [9]

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Some notable LLMs are OpenAI's GPT series of models (e.g., GPT-3.5, GPT-4 and GPT-4o; used in ChatGPT and Microsoft Copilot), Google's Gemini (the latter of which is currently used in the chatbot of the same name), Meta's LLaMA family of models, IBM's Granite models initially released with Watsonx, Anthropic's Claude models, and Mistral AI's ...

  8. 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]

  9. 3.5 mm - Wikipedia

    en.wikipedia.org/wiki/3.5_mm

    3.5 mm or 3.5mm may refer to: HO scale, in rail transport modelling, 1:87 scale, with rails 16.5 mm apart, representing standard gauge. 3.5 mm jack, used on audio and mobile telephony equipment. Category: Letter–number combination disambiguation pages.