sounds like vcsy to me.:
"Generative AI is a subset of artificial intelligence that uses machine learning to generate new data based on patterns it has learned from existing data 12. Generative AI models use neural networks to identify the patterns and structures within existing data to generate new and original content 1. The models can generate a wide variety of data, including text, images, audio, videos, and 3D models 1.
Generative AI models are trained on broad data that is often gathered by crawling the web, including internet text, image, and audio 3. The models analyze existing data patterns to generate fresh and unique content 1. One of the breakthroughs with generative AI models is the ability to leverage different learning approaches, including unsupervised or semi-supervised learning for training 1. This has given organizations the ability to more easily and quickly leverage a large amount of unlabeled data to create foundation models 1.
The three key requirements of a successful generative AI model are quality, diversity, and speed 1. Quality refers to the high-quality generation outputs, diversity refers to capturing the minority modes in its data distribution without sacrificing generation quality, and speed refers to fast generation, such as real-time image editing to allow use in content creation workflows 1.
I hope this helps! Let me know if you have any other questions."
