Generative artificial intelligence

AI capable of generating content in response to a prompt

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A generative artificial intelligence or generative AI is a type of AI system capable of generating text, images, or other media in response to prompts.[1][2] Generative AI systems use generative models such as large language models to statistically sample new data based on the training data set that was used to create them.[3]

Notable generative AI systems include ChatGPT, a chatbot built by OpenAI using the GPT-3 and GPT-4 large language models[4] and Bard, a chatbot built by Google using the LaMDA model.[5] Other generative AI models include artificial intelligence art systems such as Stable Diffusion and DALL-E.[6]

Generative AI has potential applications across a wide range of industries, including software development, marketing, and fashion.[7][8] Investment in generative AI surged during the early 2020s, with large companies such as Microsoft, Google, and Baidu as well as numerous smaller firms developing generative AI models.[1][9][10]


A generative AI system is constructed by applying unsupervised or self-supervised machine learning to a data set. The capabilities of a generative AI system depend on the modality or type of the data set used.

See also


  1. ^ a b Griffith, Erin; Metz, Cade (2023-01-27). "Anthropic Said to Be Closing In on $300 Million in New A.I. Funding". The New York Times. Retrieved 2023-03-14.
  2. ^ Lanxon, Nate; Bass, Dina; Davalos, Jackie (March 10, 2023). "A Cheat Sheet to AI Buzzwords and Their Meanings". Bloomberg News. Retrieved March 14, 2023.
  3. ^ Andrej Karpathy; Pieter Abbeel; Greg Brockman; Peter Chen; Vicki Cheung; Yan Duan; Ian Goodfellow; Durk Kingma; Jonathan Ho; Rein Houthooft; Tim Salimans; John Schulman; Ilya Sutskever; Wojciech Zaremba (2016-06-16). "Generative models". OpenAI.
  4. ^ Metz, Cade (2023-03-14). "OpenAI Plans to Up the Ante in Tech's A.I. Race". The New York Times. ISSN 0362-4331. Retrieved 2023-03-31.
  5. ^ Thoppilan, Romal; De Freitas, Daniel; Hall, Jamie; Shazeer, Noam; Kulshreshtha, Apoorv; Cheng, Heng-Tze; Jin, Alicia; Bos, Taylor; Baker, Leslie; Du, Yu; Li, YaGuang; Lee, Hongrae; Zheng, Huaixiu Steven; Ghafouri, Amin; Menegali, Marcelo; Huang, Yanping; Krikun, Maxim; Lepikhin, Dmitry; Qin, James; Chen, Dehao; Xu, Yuanzhong; Chen, Zhifeng; Roberts, Adam; Bosma, Maarten; Zhao, Vincent; Zhou, Yanqi; Chang, Chung-Ching; Krivokon, Igor; Rusch, Will; Pickett, Marc; Srinivasan, Pranesh; Man, Laichee; Meier-Hellstern, Kathleen; Ringel Morris, Meredith; Doshi, Tulsee; Delos Santos, Renelito; Duke, Toju; Soraker, Johnny; Zevenbergen, Ben; Prabhakaran, Vinodkumar; Diaz, Mark; Hutchinson, Ben; Olson, Kristen; Molina, Alejandra; Hoffman-John, Erin; Lee, Josh; Aroyo, Lora; Rajakumar, Ravi; Butryna, Alena; Lamm, Matthew; Kuzmina, Viktoriya; Fenton, Joe; Cohen; Aaron; Bernstein, Rachel; Kurzweil, Ray; Aguera-Arcas, Blaise; Cui, Claire; Croak, Marian; Chi, Ed; Le, Quoc (January 20, 2022). "LaMDA: Language Models for Dialog Applications". arXiv:2201.08239 [cs.CL].
  6. ^ Roose, Kevin (2022-10-21). "A Coming-Out Party for Generative A.I., Silicon Valley's New Craze". The New York Times. Retrieved 2023-03-14.
  7. ^ "Don't fear an AI-induced jobs apocalypse just yet". The Economist. 2023-03-06. Retrieved 2023-03-14.
  8. ^ Harreis, H.; Koullias, T.; Roberts, Roger. "Generative AI: Unlocking the future of fashion".
  9. ^ "The race of the AI labs heats up". The Economist. 2023-01-30. Retrieved 2023-03-14.
  10. ^ Yang, June; Gokturk, Burak (2023-03-14). "Google Cloud brings generative AI to developers, businesses, and governments".
  11. ^ Bommasani, R; Hudson, DA; Adeli, E; Altman, R; Arora, S; von Arx, S; Bernstein, MS; Bohg, J; Bosselut, A; Brunskill, E; Brynjolfsson, E (2021-08-16). "On the opportunities and risks of foundation models". arXiv:2108.07258 [cs.LG].{{cite arxiv}}: CS1 maint: date and year (link)
  12. ^ Chen, Ming; Tworek, Jakub; Jun, Hongyu; Yuan, Qinyuan; Pinto, Hanyu Philippe De Oliveira; Kaplan, Jerry; Edwards, Haley; Burda, Yannick; Joseph, Nicholas; Brockman, Greg; Ray, Alvin (2021-07-06). "Evaluating Large Language Models Trained on Code". arXiv:2107.03374 [cs.LG].
  13. ^ Ramesh, Aditya; Pavlov, Mikhail; Goh, Gabriel; Gray, Scott; Voss, Chelsea; Radford, Alec; Chen, Mark; Sutskever, Ilya (2021). "Zero-shot text-to-image generation". International Conference on Machine Learning. PMLR. pp. 8821–8831.
  14. ^ Heaven, Will Douglas (2023-02-15). "AI is dreaming up drugs that no one has ever seen. Now we've got to see if they work". MIT Technology Review. Massachusetts Institute of Technology. Retrieved 2023-03-15.
  15. ^ "Explainer: What is Generative AI, the technology behind OpenAI's ChatGPT?". Reuters. March 17, 2023. Retrieved March 17, 2023.
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