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Generative AI | Rapidly growing AI Technology
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Generative AI is a type of artificial intelligence that can create new content, such as images, videos, audio, text, and 3D models. It does this by learning patterns from existing data, then using this knowledge to generate new and unique outputs. Generative AI is capable of producing highly realistic and complex content that mimics human creativity, making it a valuable tool for many industries such as gaming, entertainment, and product design.
Some examples of generative AI include:
DALL-E 2: This AI can generate images from text descriptions. For example, you can type in "a cat sitting on a yoga mat" and DALL-E 2 will generate an image of a cat sitting on a yoga mat.
GANs: GANs are a type of generative AI that can create realistic images from scratch. GANs work by training two AI models against each other. One model, the generator, is responsible for creating new images. The other model, the discriminator, is responsible for distinguishing between real and fake images.
Text generators: Text generators can create new text, such as poems, stories, and code. These generators are trained on large datasets of text, and they can use this knowledge to generate new text that is similar to the text they were trained on.
Generative AI is a rapidly growing field, and there are many new and exciting applications for this technology being developed all the time. As generative AI continues to develop, it has the potential to revolutionize the way we create and interact with content.
Some examples of generative AI include:
DALL-E 2: This AI can generate images from text descriptions. For example, you can type in "a cat sitting on a yoga mat" and DALL-E 2 will generate an image of a cat sitting on a yoga mat.
GANs: GANs are a type of generative AI that can create realistic images from scratch. GANs work by training two AI models against each other. One model, the generator, is responsible for creating new images. The other model, the discriminator, is responsible for distinguishing between real and fake images.
Text generators: Text generators can create new text, such as poems, stories, and code. These generators are trained on large datasets of text, and they can use this knowledge to generate new text that is similar to the text they were trained on.
Generative AI is a rapidly growing field, and there are many new and exciting applications for this technology being developed all the time. As generative AI continues to develop, it has the potential to revolutionize the way we create and interact with content.