What is Generative AI and how does it work?
Understand the Problem
The text provides an introduction to Generative AI, discussing its ability to produce new data reminiscent of human-generated content across various forms including audio, images, and text. It touches on its applications and the continuous improvement through data training.
Answer
Generative AI creates new content akin to human work by using algorithms trained on existing data.
Generative AI refers to algorithms that create new content similar to human-generated data in forms such as audio, images, text, simulations, and videos. Trained on existing data, it evolves by refining its capabilities to achieve high-quality outputs resembling human creations.
Answer for screen readers
Generative AI refers to algorithms that create new content similar to human-generated data in forms such as audio, images, text, simulations, and videos. Trained on existing data, it evolves by refining its capabilities to achieve high-quality outputs resembling human creations.
More Information
Generative AI applications include natural language processing, computer vision, and speech synthesis. It generates content by identifying patterns from vast datasets, increasingly producing outputs often indistinguishable from those made by humans.
Tips
A common mistake is assuming Generative AI makes exact replicas of data—it's designed to generate new data inspired by patterns in existing data.
Sources
- Generative AI - NVIDIA Glossary - nvidia.com
- Explained: Generative AI | MIT News - news.mit.edu
- What is Gen AI? Generative AI Explained - TechTarget - techtarget.com
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