Homepage: Artificial Intelligence

Generative AI Overview 

Generative AI is a type of machine learning that can produce new data that closely resembles the data it was trained on. This data can be in the form of text, audio, or video, and can come from various sources, including web scraping from the internet. When a user inputs a prompt, the system breaks it down into smaller units of words, called tokens, for pre-processing within its neural network. The AI system then generates output based on its understanding of the overall semantics, structure, calculation, and prediction patterns of the words.

Image Generative AI  
Generating images is a more complicated task due to the nature of its data type, which requires a different process. Image generation relies on a type of artificial intelligence called generative adversarial networks (GANs), which consist of two main components: a ‘generator’ and a ‘discriminator’. The process begins with the ‘generator’ creating an image based on the user’s prompts. Then, the ‘discriminator’ compares this generated image to a real image providing feedback to the generator. This comparison process continues until the discriminator can no longer distinguish between the generated and real images.