Generative AI is a sub-field of artificial intelligence that focuses on creating new, original content. Unlike "discriminative" or "analytical" AI, which is designed to classify data (e.g., Identifying if a photo contains a cat), Generative AI models are trained to produce data from scratch (e.g., Generating a photo of a cat that doesn't exist).
How Generative AI Works:
Generative models use deep learning techniques to learn the underlying distribution of their training data. Once trained, they can generate new samples that "look" like the original data but are entirely unique.
The most common architectures used today are: - Large Language Models (LLMs) for text generation. - Diffusion Models for high-quality image and video generation. - Generative Adversarial Networks (GANs) for realistic deepfakes and face creation.
Generative AI is the driving force behind the modern "Creative Revolution," impacting everything from Hollywood film production to software engineering.