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The capabilities of a generative AI system depend on the modality or type of the data set used. Generative AI can be either unimodal or multimodal; unimodal systems take only one type of input, whereas multimodal systems can take more than one type of input. [40] For example, one version of OpenAI's GPT-4 accepts both text and image inputs. [41]
Glossary. v. t. e. AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. [1] The program is designed as a deep learning system. [2] AlphaFold software has had three major versions. A team of researchers that used AlphaFold 1 (2018) placed first in ...
A generative model is a statistical model of the joint probability distribution. P ( X , Y ) {\displaystyle P (X,Y)} on a given observable variable X and target variable Y; [1] A generative model can be used to "generate" random instances ( outcomes) of an observation x. [2]
A generative adversarial network ( GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [1] [2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3] In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain ...
Alibaba language processing AI outscores top humans at a Stanford University reading and comprehension test, scoring 82.44 against 82.304 on a set of 100,000 questions. [ 125 ] The European Lab for Learning and Intelligent Systems ( aka Ellis) proposed as a pan-European competitor to American AI efforts, with the aim of staving off a brain ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] 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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