They create new content by modeling the structure of the training data - This is the correct answer. Generative AI models create new and original content by learning the underlying structure, patterns, and relationships within the training data. This allows them to generate creative outputs, like story ideas, that are inspired by but not directly copied from the original material.
They store exact copies of data for direct replication - This is characteristic of retrieval-based systems, which retrieve exact content from a database or dataset. This does not apply to generative AI, which creates novel content rather than copying it.
They categorize input data into predefined classes - This is the function of classification models, which categorize data into specific classes based on predefined labels. It does not involve generating new content.
They detect anomalies and irregularities in data - This describes anomaly detection models, which focus on identifying outliers or unusual patterns in data, not generating new and original content.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
How do generative AI models learn to create new content from training data?
Open an interactive chat with Bash
What types of data can be used for training generative AI models?
Open an interactive chat with Bash
What are some practical applications of generative AI models in creative industries?
Open an interactive chat with Bash
Microsoft Azure AI Fundamentals AI-900
Describe features of generative AI workloads on Azure
Your Score:
Report Issue
Bash, the Crucial Exams Chat Bot
AI Bot
Oh snap!
Loading...
Loading...
Loading...
Information Technology Package Join Premium for Full Access