Generative AI represents a sophisticated branch of artificial intelligence technology, renowned for its ability to produce new and original content encompassing images, text, audio, and video. Unlike conventional systems that simply fetch existing information, generative AI exhibits creative flair, drawing upon self-supervised learning techniques. It undergoes a "training" phase, during which it is fed vast collections of data, and harnesses the power of deep neural networks along with probabilistic models to decode and assimilate patterns observed in pre-existing creative outputs. After this intensive training regimen, generative AI systems acquire the proficiency to craft new images, videos, text, and various forms of media that bear a close resemblance to the input data they were trained on.
The presentation will commence with a concise overview of generative AI, highlighting diffusion models and large language models as prime illustrations. It will proceed to explore the cutting-edge developments within the realm of generative AI, subsequently introducing various scenarios. These scenarios will serve as a platform for the presenter to engage with the audience, collaboratively seeking solutions to contemporary challenges.
