What is Generative AI?
Related services
AI IntegrationWhat is Generative AI?
Generative AI is a subset of deep learning. It is based on neural networks, such as transformers (e.g., GPT) or diffusion models (for images), trained on vast amounts of data. Their goal is not just to classify information, but to generate new samples that are statistically similar to what they were trained on.
How does Generative AI work?
The process typically involves two stages: 1. **Training:** The model analyzes millions of texts, images, or other data, discovering patterns and relationships. 2. **Inference:** Upon receiving a prompt from a user, the model uses its knowledge to create new content that matches the prompt.
Use Cases
Generating articles, blog posts, advertising copy, and scripts. This significantly speeds up the work of copywriters and marketers.
Writing code, creating tests, and finding bugs. Tools like GitHub Copilot help developers work more efficiently.
/ FAQ
Regular AI (e.g., classifiers) is tuned to analyze data (e.g., determining if there is a cat in a photo). Generative AI is tuned to create new data (e.g., drawing a new picture of a cat).
/ Related terms
Ready to implement?
We'll help you implement it. 30-minute process audit - free.
Book an audit