Generative AI creates new content – text, images, audio, video, code – that resembles a human-made output. Unlike traditional AI, which classifies, predicts, or analyzes existing data, generative AI creates new data based on patterns it has recognized. Generative AI is typically built on large machine learning models, particularly:
Large Language Models (LLMs): Generate human-like text.
Generative Adversarial Networks (GANs): Create realistic images, audio, and video.
Diffusion Models: Generate high-quality visuals from text prompts.
Transformer-Based Models: Used widely in LLMs and multimodal models.
Generative AI Applications
Draft emails, blogs, reports, and social media posts.
