Generative AI System

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A Generative AI System is an AI system that can generate content based on agent prompts.

  • Context:
    • It can have applications in numerous fields, such as creative writing, image synthesis, music composition, and drug discovery.
    • It can be based on advanced algorithms and models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models.
    • It can (often) surprise and generate outputs that human creators might not think of.
  • Example(s):
  • Counter-Example(s):
    • Rule-Based System: These systems don't generate new outputs but work based on pre-defined rules.
    • Supervised Learning System: While these systems learn from data, they don't generate new content but make predictions based on input.
    • Search Engine: They retrieve and rank existing information instead of generating new content.
  • See: Artificial Intelligence, Machine Learning, Generative Adversarial Network, Transformer (model).


References

2023

  1. 1.0 1.1 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. 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.
  4. "Don't fear an AI-induced jobs apocalypse just yet". The Economist. 2023-03-06. Retrieved 2023-03-14.
  5. Harreis, H.; Koullias, T.; Roberts, Roger. "Generative AI: Unlocking the future of fashion".
  6. "The race of the AI labs heats up". The Economist. 2023-01-30. Retrieved 2023-03-14.