Generative artificial intelligence

Generative artificial intelligence (generative AI, GenAI, or GAI) is artificial intelligence capable of generating text, images or other data using generative models, often in response to prompts. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.

Not to be confused with Artificial general intelligence.

Improvements in transformer-based deep neural networks enabled an AI boom of generative AI systems in the early 2020s. These include large language model (LLM) chatbots such as ChatGPT, Copilot, Gemini, LLaMA, and text-to-image artificial intelligence art systems such as Stable Diffusion, Midjourney, and DALL-E. Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu as well as numerous smaller firms have developed generative AI models.

Generative AI has uses across a wide range of industries, including software development, healthcare, finance, entertainment, customer service, sales and marketing, art, writing, fashion, and product design. However, concerns have been raised about the potential misuse of generative AI such as cybercrime, and the use of fake news or deepfakes to deceive or manipulate people or take a mass amount of jobs from real humans.

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