Generative AI is a branch of artificial intelligence that uses algorithms to create new data from existing data. Generative AI can produce realistic images, texts, sounds, and videos that are indistinguishable from human-made ones. Some examples of generative AI are:
• Generative adversarial networks (GANs), which use two competing neural networks to generate realistic images or videos.
• Variational autoencoders (VAEs), which use a neural network to compress and reconstruct data, can also generate new data by sampling from the latent space.
• Transformer models, which use attention mechanisms to generate natural language texts or music.
If you want to learn more about how generative AI works, you can r...
Generative AI is a branch of artificial intelligence that uses algorithms to create new data from existing data. Generative AI can produce realistic images, texts, sounds, and videos that are indistinguishable from human-made ones. Some examples of generative AI are:
• Generative adversarial networks (GANs), which use two competing neural networks to generate realistic images or videos.
• Variational autoencoders (VAEs), which use a neural network to compress and reconstruct data, can also generate new data by sampling from the latent space.
• Transformer models, which use attention mechanisms to generate natural language texts or music.
If you want to learn more about how generative AI works, you can read this blog post which explains the concepts and applications of generative AI in detail.
Visit: https://www.webcluesinfotech.com/the-technology-behind-generative-ai-how-generative-ai-works
