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Answer :
The correct choice is 2. Generative AI is a subset of deep learning.
Generative AI refers to a category of artificial intelligence techniques specifically designed to generate new content, such as images, text, and music, that is similar to human creations. This generative capability is accomplished by developing models that can learn patterns from existing data and subsequently produce novel outputs based on those learned patterns.
Deep learning is a branch of machine learning that uses algorithms known as neural networks. These networks are designed to mimic the way humans learn and process information, allowing machines to identify intricate patterns within vast datasets. Deep learning is particularly effective for tasks involving complex unstructured data like images, sound, and text.
The relationship between generative AI and deep learning is that generative models often employ deep learning techniques. For example, Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) are popular generative models that utilize deep neural networks as part of their architecture. These models use deep learning to process and generate data in ways that appear astonishingly real to human observers.
Therefore, while deep learning is a broader field that includes any neural network-based learning method, generative AI is a specialized application within that realm, focusing on the creation of content that is new and original.
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