Generative AI
Generative AI is a type of computer program that can create brand-new things like stories, pictures, or music from scratch, rather than just sorting or organizing information that already exists.
Generative AI refers to models designed to generate novel data outputs—such as text, images, or code—by learning the underlying patterns and structures of a training dataset, distinguishing them from discriminative models that focus solely on classification or regression tasks.
AI that produces novel content — text, images, code, audio, video — by sampling from a learned probability distribution, as opposed to discriminative models that only classify or predict.
evolution
- 2014 · historyGenerative Adversarial Networks (GANs)
Ian Goodfellow introduced GANs, enabling neural networks to generate realistic synthetic data by pitting two models against each other.
- 2017 · historyTransformer Architecture
Google researchers published 'Attention Is All You Need,' providing the foundational architecture for modern large language models.
- 2020 · historyGPT-3 Release
OpenAI released GPT-3, demonstrating that massive scale in transformer models leads to emergent capabilities in text generation and reasoning.
- 2021 · historyDiffusion Models
The emergence of high-quality image generation models like DALL-E and Stable Diffusion marked a breakthrough in text-to-image synthesis.
- 2022 · historyChatGPT Launch
OpenAI released ChatGPT, bringing generative AI to the mainstream through a conversational interface optimized for human interaction.