Generative AI

Generative Pre-trained Transformer (GPT) is a type of artificial intelligence model that utilizes a transformer architecture, a neural network design known for its ability to handle sequential data effectively. "Pre-trained" refers to the fact that the model is initially trained on a large corpus of text data to learn language patterns and relationships. "Generative" indicates that the model can then generate coherent and contextually appropriate text, making it capable of tasks like writing essays, answering questions, and even creating creative content. GPT models are known for their versatility and have found applications in a wide range of natural language processing tasks. Such models include ChatGPT, Bard, LLaMA, etc.

Generative imaging refers to the process of using artificial intelligence, particularly generative models, to create or generate visual content. This can encompass a wide range of media, including images, animations, and even 3D models. Generative imaging relies on algorithms that learn patterns and structures from existing data, allowing them to generate new, original visual content that shares similarities with the training data. This technology has applications in fields like computer graphics, art, design, and various forms of creative expression, as well as in practical domains like medical imaging and data augmentation for machine learning.