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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [2] These models often generate output in response to specific prompts.
Generative AI, sometimes called gen AI, is artificial intelligence (AI) that can create original content—such as text, images, video, audio or software code—in response to a user’s prompt or request.
Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
Generative AI is a type of artificial intelligence technology that can produce various types of content. Find out how it works and why it's a hot commodity.
Generative artificial intelligence (AI) is a type of AI that generates images, text, videos, and other media in response to inputted prompts. AI generators like ChatGPT and DALL-E2 are gaining worldwide popularity.
Generative AI refers to deep-learning models that can take raw data — say, all of Wikipedia or the collected works of Rembrandt — and “learn” to generate statistically probable outputs when prompted.
“Generative AI” refers to artificial intelligence that can be used to create new content, such as words, images, music, code, or video.
Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
What about generative AI? A generative model can take what it has learned from the examples it’s been shown and create something entirely new based on that information. Hence the word “generative!”