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  2. 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]

  3. OpenAI plans to simplify AI products in new road map for ...

    www.aol.com/news/openai-plans-simplify-ai...

    The Microsoft-backed startup will release a GPT-5 model as a comprehensive AI system that will incorporate o3 along with other technologies, he said in a post on X. OpenAI had unveiled o3 and o3 ...

  4. Your 'friendly AI assistant' has arrived to your search bar ...

    www.aol.com/friendly-ai-assistant-arrived-search...

    How does AI work? The result is systems that can help with repetitive and boring text-based tasks, such as filling out forms, Singh said. Since chatbots draw from a ton of data and are not ...

  5. 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 ...

  6. How AI Tools Like Microsoft’s Copilot Are Changing Work and ...

    www.aol.com/ai-tools-microsoft-copilot-changing...

    AI Tools are Changing How We Work. Companies are now implementing AI tools like Microsoft Copilot into their daily workflow. The transition into using AI has varied depending on the company’s ...

  7. 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.

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