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Answer :
The correct answer to the question "What is Generative AI?" is option B) A type of AI that learns from patterns and creates new content.
Generative AI refers to a subset of artificial intelligence that focuses on creating new and unique content that retains characteristics of the data it was trained on. Here is a step-by-step explanation:
Learning from Patterns: Generative AI systems are built using models that learn from the underlying patterns in data. These models analyze and understand the structure and distribution of data, enabling them to generate new data that resembles the original dataset.
Creation of New Content: Unlike traditional AI which might focus on classifying or predicting data, generative AI can create new images, text, music, and more, thereby extending beyond just analysis to creative tasks.
Applications: Some common applications of generative AI include generating realistic images in art, composing music, writing articles or stories, creating design prototypes, and more. Technologies such as Generative Adversarial Networks (GANs) are frequently employed to achieve these tasks.
How it Works: Generative AI typically involves models like GANs or Transformer architectures which consist of two parts — a generator that creates new data and a discriminator that evaluates the data's authenticity. The generator produces data, while the discriminator checks if it is similar to real-world data. Through training, the generator improves its ability to produce convincing content.
Generative AI has revolutionized various fields by enabling machines to produce creative outputs, mimicking human tasks, thereby pushing the boundaries of technology and creativity.
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