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Generative artificial intelligence

Not to be confused with Artificial general intelligence. This page focuses on statistical machine learning AI. For other topics, see Algorithmic composition, Algorithm art, Generative art, Procedural generation.
Impressionistic image of figures in a futuristic opera scene
Théâtre D'opéra Spatial, an image made using generative artificial intelligence
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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.[3][4] Generative AI systems learn the underlying patterns and structures of their training data, enabling them to create new data.[5][6]

Improvements in transformer-based deep neural networks, particularly large language models (LLMs), enabled an AI boom of generative AI systems in the early 2020s. These include chatbots such as ChatGPT, Copilot, Gemini and LLaMA, text-to-image artificial intelligence image generation systems such as Stable Diffusion, Midjourney and DALL-E, and text-to-video AI generators such as Sora.[7][8][9][10] Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu as well as numerous smaller firms have developed generative AI models.[3][11][12]

Generative AI has uses across a wide range of industries, including software development, healthcare, finance, entertainment, customer service,[13] sales and marketing,[14] art, writing,[15] fashion,[16] and product design.[17] However, concerns have been raised about the potential misuse of generative AI such as cybercrime, the use of fake news or deepfakes to deceive or manipulate people, and the mass replacement of human jobs.[18][19] Intellectual property law concerns also exist, around generative models that are trained on and emulate copyrighted works of art.[20]

  1. ^ Newsom, Gavin; Weber, Shirley N. (September 5, 2023). "Executive Order N-12-23" (PDF). Executive Department, State of California. Archived (PDF) from the original on February 21, 2024. Retrieved September 7, 2023.
  2. ^ Pinaya, Walter H. L.; Graham, Mark S.; Kerfoot, Eric; Tudosiu, Petru-Daniel; Dafflon, Jessica; Fernandez, Virginia; Sanchez, Pedro; Wolleb, Julia; da Costa, Pedro F.; Patel, Ashay (2023). "Generative AI for Medical Imaging: extending the MONAI Framework". arXiv:2307.15208 [eess.IV].
  3. ^ a b Griffith, Erin; Metz, Cade (January 27, 2023). "Anthropic Said to Be Closing In on $300 Million in New A.I. Funding". The New York Times. Archived from the original on December 9, 2023. Retrieved March 14, 2023.
  4. ^ Lanxon, Nate; Bass, Dina; Davalos, Jackie (March 10, 2023). "A Cheat Sheet to AI Buzzwords and Their Meanings". Bloomberg News. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
  5. ^ Pasick, Adam (March 27, 2023). "Artificial Intelligence Glossary: Neural Networks and Other Terms Explained". The New York Times. ISSN 0362-4331. Archived from the original on September 1, 2023. Retrieved April 22, 2023.
  6. ^ Karpathy, Andrej; Abbeel, Pieter; Brockman, Greg; Chen, Peter; Cheung, Vicki; Duan, Yan; Goodfellow, Ian; Kingma, Durk; Ho, Jonathan; Rein Houthooft; Tim Salimans; John Schulman; Ilya Sutskever; Wojciech Zaremba (June 16, 2016). "Generative models". OpenAI. Archived from the original on November 17, 2023. Retrieved March 15, 2023.
  7. ^ Metz, Cade (March 14, 2023). "OpenAI Plans to Up the Ante in Tech's A.I. Race". The New York Times. ISSN 0362-4331. Archived from the original on March 31, 2023. Retrieved March 31, 2023.
  8. ^ Thoppilan, Romal; De Freitas, Daniel; Hall, Jamie; Shazeer, Noam; Kulshreshtha, Apoorv (January 20, 2022). "LaMDA: Language Models for Dialog Applications". arXiv:2201.08239 [cs.CL].
  9. ^ Roose, Kevin (October 21, 2022). "A Coming-Out Party for Generative A.I., Silicon Valley's New Craze". The New York Times. Archived from the original on February 15, 2023. Retrieved March 14, 2023.
  10. ^ Metz, Cade (February 15, 2024). "OpenAI Unveils A.I. That Instantly Generates Eye-Popping Videos". The New York Times. ISSN 0362-4331. Archived from the original on February 15, 2024. Retrieved February 16, 2024.
  11. ^ "The race of the AI labs heats up". The Economist. January 30, 2023. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
  12. ^ Yang, June; Gokturk, Burak (March 14, 2023). "Google Cloud brings generative AI to developers, businesses, and governments". Archived from the original on November 17, 2023. Retrieved March 15, 2023.
  13. ^ Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey R. (April 2023), Generative AI at Work (Working Paper), Working Paper Series, doi:10.3386/w31161, archived from the original on March 28, 2024, retrieved January 21, 2024
  14. ^ "Don't fear an AI-induced jobs apocalypse just yet". The Economist. March 6, 2023. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
  15. ^ Coyle, Jake (September 27, 2023). "In Hollywood writers' battle against AI, humans win (for now)". AP News. Associated Press. Archived from the original on April 3, 2024. Retrieved January 26, 2024.
  16. ^ Harreis, H.; Koullias, T.; Roberts, Roger. "Generative AI: Unlocking the future of fashion". Archived from the original on November 17, 2023. Retrieved March 14, 2023.
  17. ^ "How Generative AI Can Augment Human Creativity". Harvard Business Review. June 16, 2023. ISSN 0017-8012. Archived from the original on June 20, 2023. Retrieved June 20, 2023.
  18. ^ Hendrix, Justin (May 16, 2023). "Transcript: Senate Judiciary Subcommittee Hearing on Oversight of AI". techpolicy.press. Archived from the original on November 17, 2023. Retrieved May 19, 2023.
  19. ^ Simon, Felix M.; Altay, Sacha; Mercier, Hugo (October 18, 2023). "Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown". Harvard Kennedy School Misinformation Review. doi:10.37016/mr-2020-127. S2CID 264113883. Archived from the original on November 17, 2023. Retrieved November 16, 2023.
  20. ^ "New AI systems collide with copyright law". BBC News. August 1, 2023. Retrieved September 28, 2024.

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