Generative AI Model

Generative AI models are computational systems designed to create new content, such as text, images, and audio, by learning patterns from existing data. Current research emphasizes improving efficiency and scalability of these models, particularly focusing on architectures like transformers and diffusion models, and addressing challenges like bias mitigation, data security, and responsible AI practices. The widespread adoption of generative AI across diverse fields, from medicine and law to art and entertainment, necessitates rigorous research into its capabilities, limitations, and societal impact.