GenAI Model

Generative AI (GenAI) models aim to create realistic data samples across various modalities (text, images, audio, etc.), leveraging techniques like diffusion models and large language models. Current research emphasizes both enhancing GenAI capabilities, such as improving resolution and efficiency in image generation, and mitigating risks, including developing methods for machine unlearning and addressing vulnerabilities to attacks like prompt injection. The impact of GenAI is significant, with applications ranging from improving educational tools and accelerating scientific discovery to transforming industries like telecommunications and construction, while simultaneously raising crucial ethical and security concerns.