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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
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.
However, once trained, a generative AI tool still needs chips to do the work — such as when you ask a chatbot to compose a document or generate an image. That's where inferencing comes in.
The AI boom [1] [2] is an ongoing period of rapid progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the 2020s. Examples include large language models and generative AI applications developed by OpenAI as well as protein folding prediction led by Google DeepMind.
The company has seen high demand from customers involved in generative AI and accelerated computing for the chips, which it says is 30 times speedier at tasks like serving up answers from chatbots.
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.
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 ]
Generative AI, a branch of AI that can create new content such as text, audio and photos, has significant potential to help government agencies become more efficient but there's also an urgent ...