AI Fundamentals
beginner
Generative AI
AI systems that can create new content such as text, images, audio, or video.
Detailed Explanation
Generative AI refers to artificial intelligence systems capable of creating new content that resembles human-created work. These systems learn patterns from existing data and then generate novel outputs that reflect those patterns. Modern generative AI is primarily based on deep learning techniques, particularly generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based models. Generative AI has seen remarkable advances in recent years, enabling the creation of increasingly realistic and creative content across multiple modalities including text (stories, code, essays), images, music, video, and 3D models.
Examples
- GPT models for text generation
- DALL-E and Midjourney for image creation
- Suno for music generation
Tags
content creation
synthesis
creative AI
Related Terms
- Generative Adversarial Network (GAN)A framework where two neural networks (generator and discriminator) compete to create realistic synthetic data.
- Diffusion ModelGenerative models that learn to create data by gradually denoising random noise.
- Large Language Model (LLM)Neural network models with billions of parameters trained on vast text corpora to understand and generate human language.