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  2. 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.

  3. 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 ChatGPT Plus subscribers have higher usage limits. [ 2 ]

  4. Assetto Corsa - Wikipedia

    en.wikipedia.org/wiki/Assetto_Corsa

    Assetto Corsa is a racing simulation that attempts to offer a realistic driving experience with a variety of road and race cars through detailed physics and tyre simulation on race tracks recreated through laser-scanning technology.

  5. GPT4-Chan - Wikipedia

    en.wikipedia.org/wiki/GPT4-Chan

    Generative Pre-trained Transformer 4Chan (GPT-4chan) 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 ...

  6. Gato (DeepMind) - Wikipedia

    en.wikipedia.org/wiki/Gato_(DeepMind)

    Gato is a deep neural network for a range of complex tasks that exhibits multimodality.It can perform tasks such as engaging in a dialogue, playing video games, controlling a robot arm to stack blocks, and more.

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020.. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]

  8. Opposite lock - Wikipedia

    en.wikipedia.org/wiki/Opposite_lock

    It is typified by the classic rallying style of rear-wheel drive cars, where a car travels around a bend with a large drift angle. The terms "opposite lock" and "counter-steering" refer to the position of the steering wheel during the maneuver, which is turned in the opposite direction to that of the bend.

  9. Concept drift - Wikipedia

    en.wikipedia.org/wiki/Concept_drift

    EDDM (Early Drift Detection Method): free open-source implementation of drift detection methods in Weka. MOA (Massive Online Analysis): free open-source software specific for mining data streams with concept drift. It contains a prequential evaluation method, the EDDM concept drift methods, a reader of ARFF real datasets, and artificial stream ...