Generative artificial intelligence
Generative Artificial Intelligence or Generative AI is a type of AI system capable of generating text, images, and other media in response to natural language prompts[1][2]. Generative AI systems use generative models to statistically sample new data based on a training data set. A notable type of generative AI is the large language model, which is a type of neural network trained using self-supervised learning to predict the next word in a sequence. Notable large language models include GPT-3 and GPT-4 created by OpenAI[3]. Other generative AI models include Artificial Intelligence art systems such as Stable Diffusion and DALL-E[4].
Generative AI has potential applications across a wide range of industries, including software development, marketing, and fashion[5][6]. 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] [7].
- ^ a b Griffith, Erin; Metz, Cade (2023-01-27). "Anthropic Said to Be Closing In on $300 Million in New A.I. Funding". nytimes.com. Retrieved 2023-03-14.
- ^ Lanxon, Nate; Bass, Dina; Davalos, Jackie (March 10, 2023). "A Cheat Sheet to AI Buzzwords and Their Meanings". Bloomberg News. Retrieved March 14, 2023.
- ^ Metz, Cade. "OpenAI Unveils GPT-4, Months After ChatGPT Stunned Silicon Valley." The New York Times, March 14, 2023, https://www.nytimes.com/2023/03/14/technology/openai-gpt4-chatgpt.html
- ^ Roose, Kevin (2022-10-21). "A Coming-Out Party for Generative A.I., Silicon Valley's New Craze". nytimes.com. The New York Times. Retrieved 2023-03-14.
- ^ "Don't fear an AI-induced jobs apocalypse just yet". The Economist. 2023-03-06. Retrieved 2023-03-14.
- ^ Harreis, H.; Koullias, T.; Roberts, Roger. "Generative AI: Unlocking the future of fashion".
- ^ "The race of the AI labs heats up". The Economist. 2023-01-30. Retrieved 2023-03-14.