Higher Education · Artificial Intelligence
Generative AI
What is it
Generative AI covers models that create new content — text, images, audio, code — rather than just classifying or predicting from existing data, including architectures like generative adversarial networks (GANs), diffusion models, and large language models.
Why it matters
Generative AI has moved from a research curiosity to one of the most commercially significant and widely deployed areas of AI in just a few years, transforming content creation, software development, and countless other fields, making it essential knowledge for computer science graduates entering the industry now.
Exam tip
Understand the core difference between discriminative models (which classify or predict) and generative models (which create new examples) conceptually before diving into any specific architecture — this distinction is foundational and clarifies why generative techniques require fundamentally different training approaches.
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