What is generative AI and how does it work?
How are technologies like ChatGPT created? And what does the future hold for AI language models?
Generative AI refers to a type of artificial intelligence that involves creating new and original data or content. Unlike traditional AI models that rely on large datasets and algorithms to classify or predict outcomes, generative AI models are designed to learn the underlying patterns and structure of the data and generate novel outputs that mimic human creativity.
ChatGPT is perhaps the most well-known example, but the field is far larger and more varied than text generation. Other applications of generative AI include image and video synthesis, speech generation, music composition, and virtual reality.
In this lecture, Mirella Lapata will present an overview of this exciting—sometimes controversial—and rapidly evolving field.