Generative AI
Generative AI is the collective term for artificial intelligence systems that automatically generate new content — including images, text, audio, and video — based on patterns learned from vast amounts of data. In English, it is called "Generative AI" and has attracted attention as "creative AI." While conventional AI was primarily focused on producing correct answers through classification and prediction, Generative AI is distinguished by its ability to create something new. Given text input (a prompt), it can write fiction-style prose, render realistic images, or compose music. Representative applications of Generative AI: • Image generation (e.g., Stable Diffusion, DALL·E) • Text generation (e.g., ChatGPT, Claude) • Audio generation (e.g., text-to-speech AI, voice synthesis) • Video generation (e.g., Runway, Pika) • Code generation (e.g., GitHub Copilot) The technical foundations include deep learning applications such as Transformers, diffusion models, and GANs (Generative Adversarial Networks). These technologies enable the generation of creative, human-like content. Generative AI is driving transformation not only in creative workflows but across diverse fields including education, healthcare, entertainment, and marketing — with further proliferation and advancement expected in the years ahead.
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