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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 ...
Hudson said she personally uses GenAI to make her emails sound nicer and she has used it to make acronyms or songs for lessons to help students learn a topic more efficiently.
Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
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.
Economists already utilize machine learning, a branch of AI, to analyze data and develop economic projections. But genAI is a separate technology. It underpins ChatGPT and similar tools and has ...
GenAI: The 'just right' moment for mid-sized companies? Mid-scale companies, once considered too small, may be “just right” to make the most out of today’s GenAI.
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