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  • Generative artificial intelligence - Wikipedia
    Generative artificial intelligence (Generative AI, GenAI, [1] or GAI) is a subfield of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data [2][3][4] These models learn the underlying patterns and structures of their training data and use them to produce new data [5][6] based on the input
  • What is Generative AI? - GeeksforGeeks
    Generative artificial intelligence, often called generative AI or gen AI, is a type of AI that can create new content like conversations, stories, images, videos, and music It can learn about different topics such as languages, programming, art, science, and more, and use this knowledge to solve new problems For example: It can learn about popular design styles and create a unique logo for a
  • What Is Generative AI? Definition, Applications, and Impact
    Generative AI, also referred to as GenAI, allows users to input a variety of prompts to generate new content, such as text, images, videos, sounds, code, 3D designs, and other media
  • What Is Generative AI (GenAI)? - Oracle
    GenAI is a fully managed Oracle Cloud Infrastructure service that provides a set of state-of-the-art, customizable LLMs that cover a wide range of use cases, including chat, text generation, summarization, and creating text embeddings
  • What Is Generative AI (GenAI)? What It Means How It Works
    GenAI is a type of artificial intelligence that can be used to create new content Learn about generative AI and how it works
  • What is GenAI? Generative AI explained - TechTarget
    GenAI typically does two things: First, it encodes a collection of existing information into a form (vector space) that maps data points based on the strength of their correlations (dependencies) Second, when prompted, it then generates (decodes) new content by finding the correct context within the existing dependencies in the vector space
  • GenAI: What It Is and the Most Popular Types Explained
    Learn what GenAI is, how it works, and explore the most popular types powering AI-driven content, code, images, and innovation in 2025




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