Generative AI is a type of artificial intelligence technology that refers to deep-learning models and can generate high-quality text, images, and other content based on the data they were trained on. The Generative AI (e.g., OpenAI’s ChatGPT) is a chatbot that has demonstrated an uncanny ability to produce text that seems to have been written by a human. The applications for this technology are growing every day, like just starting to explore the possibilities. There are several approaches to generative AI, including: Generative Adversarial Networks (GANs); Variational Autoencoders (VAEs); Recurrent Neural Networks (RNNs) and Transformers; Deep Belief Networks (DBNs)
Related Definitions in the Project: The Computer Technology
Example Article of the Generative AI:
Generative AI: Industry perspectives (10 March 2024): If 2023 was generative AI’s breakout year, 2024 is shaping up to be the year for generative AI to prove its value. Which industries are poised to benefit most from the rapidly developing technology? This collection of insights from McKinsey’s Rodney Zemmel, Matt Fitzpatrick, Delphine Nain Zurkiya, and many others, dives into perspectives across industries, including energy and materials, real estate, life sciences, high tech, and banking. For more on how organizations can most effectively and responsibly use generative AI to create business value, check out QuantumBlack, McKinsey’s AI arm. ...
