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2. Generative artificial intelligence - Wikipedia

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

   [33] [34] Generative AI planning systems used symbolic AI methods such as state space search and constraint satisfaction and were a "relatively mature" technology by the early 1990s. They were used to generate crisis action plans for military use, [ 35 ] process plans for manufacturing [ 33 ] and decision plans such as in prototype autonomous ...

3. What is generative AI? Benefits, pitfalls and how to use it ...

   www.aol.com/generative-ai-benefits-pitfalls-day...

   Generative AI systems are trained on large amounts of data, studying pictures, videos and the way people operate online, Edwards says. These advanced learning machine models can then identify ...

4. Applications of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Applications_of_artificial...

   Artificial intelligence is also starting to be used in video production, with tools and software being developed that utilize generative AI in order to create new video, or alter existing video. Some of the major tools that are being used in these processes currently are DALL-E, Mid-journey, and Runway. [ 248 ]

5. 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]

6. Dell’s employees had 800 different gen AI ideas. Here’s how ...

   www.aol.com/finance/dell-employees-had-800...

   On AI, the company’s revenue has gotten a lift from selling AI servers. Dell shipped $2.9 billion of them in the most recent third quarter and has a backlog of $4.5 billion in orders.

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.