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  2. Generative artificial intelligence - Wikipedia

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

    Additionally, large-language models and other forms of text-generation AI have been at a broad scale to create fake reviews on e-commerce websites to boost ratings. [160] Cybercriminals have created large language models focused on fraud, including WormGPT and FraudGPT.

  3. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  4. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  5. AI was everywhere in 2024. Here are the biggest stories of ...

    www.aol.com/news/ai-everywhere-2024-biggest...

    The AI model solved 64% of coding problems in internal testing, according to Anthropic, the AI safety and research company behind Claude. ... The model uses 12 billion parameters to create images ...

  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. 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]

  8. Elon Musk says AI has already gobbled up all human ... - AOL

    www.aol.com/finance/elon-musk-says-ai-already...

    Artificial intelligence relies on vast amounts of data to train itself. But Elon Musk says models have already run out of human-created data, and have turned to AI-generated information to teach ...

  9. Artificial intelligence engineering - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Once the model is trained, it must be integrated into the broader system, a phase that largely remains the same regardless of how the model was developed. System integration involves connecting the AI model to various software components and ensuring that it can interact with external systems, databases, and user interfaces.

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