What Is Generative AI?
Generative AI refers to a class of artificial intelligence models designed to generate new content—ranging from text and images to music, code, and even videos. Unlike traditional AI systems that classify or predict based on existing data, Generative AI creates something entirely new based on patterns it has learned during training.
The backbone of modern Generative AI includes advanced models such as transformers (e.g., GPT-4, Claude) and diffusion models (e.g., Stable Diffusion, Midjourney). These models are trained on massive datasets and can produce highly creative, context-aware outputs.
Examples You Know:
ChatGPT
– Text generation and conversation
Midjourney
– AI-powered image creation
GitHub Copilot
– Code completion and generation
Sora
– AI-generated videos by OpenAI
What Are the Applications of Generative AI?
Generative AI is transforming workflows across industries, offering creative, technical, and productivity-enhancing benefits. It can process and generate across various input formats—such as text, images, audio, video, and code—and output in equally diverse modalities.
