Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, music, video, or even code, based on the data it has been trained on. Unlike traditional AI, which primarily analyzes and recognizes patterns in existing data, generative AI goes a step further by producing original content that didn’t previously exist.
Generative AI refers to a type of artificial intelligence that creates new content. Examples include:
- Deepfake Videos: These videos depict people speaking or acting in ways they did not. Examples include videos of Barack Obama and Jim Carrey.
- Voice Imitation: Microsoft demonstrated the ability to impersonate someone’s voice with just six seconds of recording.
- Image Creation: Tools like “This Person Does Not Exist” generate images of non-existent people.
The fundamental difference between generative AI and traditional AI is that generative AI creates new data, whereas traditional AI analyzes and extracts information from existing data without generating new content. For example, natural language processing tools like IBM Watson extract information but do not generate new responses.
When using generative AI, users input prompts, and the AI generates responses based on its training data. It is important to verify AI-generated content, as it can sometimes produce inaccurate or misleading results known as “hallucinations.”
