Generative Artificial Intelligence (AI)
Generative Artificial Intelligence (AI) refers to a category of Artificial Intelligence (AI) Systems designed to generate new content, such as text, images, music, or other data, that is similar to existing data. These systems use machine learning models, particularly neural networks, to learn patterns and structures from input data and then create new instances that mimic those patterns.
Some common types of generative AI include:
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Generative Adversarial Networks (GANs): These consist of two neural networks, a generator and a discriminator, that work against each other to create realistic data.
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Variational Autoencoders (VAEs): These are used to generate new data by learning a compressed representation of the input data.
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Transformer Models: Such as GPT (Generative Pre-trained Transformer), which are used for generating human-like text based on input prompts.
Generative AI has applications in various fields, including art creation, music composition, content generation, and even drug discovery.