Expanded Explanation
Generative AI describes models that produce new content rather than only classifying or predicting. This includes large language models like ChatGPT, Claude and Gemini, image models like Stable Diffusion, and code assistants used in modern development.
Simple explanation
Instead of just recognising a cat in a photo, generative AI can draw a new cat that has never existed before.
Technical explanation
Generative models learn a distribution over data and sample from it. Modern systems use autoregressive transformers, diffusion models or variational autoencoders trained on very large corpora.
Simple Examples
- ChatGPT drafting a business email.
- Midjourney creating an illustration from a text prompt.
- GitHub Copilot suggesting code.
Common mistakes
- Trusting confident-sounding outputs without verification.
- Assuming all AI is generative — most production AI is still classical ML.