Generative AI is a type of artificial intelligence that can produce new data, images, text, or music resembling the dataset it was trained on. This is achieved through “generative modeling,” which utilizes statistical algorithms to learn the patterns and relationships within the dataset and leverage this knowledge to generate new data. Generative AI’s capabilities go far beyond creating fun mobile apps and avatars. They are used to create art pieces, design, code, blog posts and all types of high-quality content. Generative AI uses semi-supervised and unsupervised learning algorithms to process large amounts of data to create outputs. Using large language models, computer programs in generative AI understand the text and create new content. The neural network, the heart of generative AI, detects the characteristics of specific images or text and then applies them when necessary. Computer programs can use generative AI to predict patterns and produce the corresponding content. However, it is worth noting that generative AI models are limited in their parameters, and human involvement is essential to make the most of generative AI, both at the beginning and the end of model training.
To learn more – https://www.leewayhertz.com/generative-ai-tech-stack/
Matthew Haws 