What is Generative AI

What is Generative AI?

• A type of AI that analyzes data

• A type of AI that mimics human behavior

• A type of AI that predicts future outcomes

• A type of AI that generates new content

How does Generative AI differ from other AI approaches?

• Generative AI analyzes existing data, while other AI approaches create new data.

• Generative AI focuses on image recognition, while other AI approaches focus on natural language processing.

• Generative AI is a subset of supervised learning, while other AI approaches are unsupervised.

• Generative AI creates new data, while other AI approaches analyze existing data.

Generative AI is primarily used to create what?

• Data storage

• Network security

• Content (such as text, images, music, etc.)

• Traffic management

How does Generative AI work?

• By learning from user interactions and adapting its behavior

• By analyzing large datasets to make predictions

• By using algorithms to generate new data based on existing patterns

• By imitating human decision-making processes

What are some applications of Generative AI?

• Generating personalized recommendations

• Creating realistic deepfake videos

• Predicting stock market trends

• Simulating natural disasters

Generative AI can write novels

• True

• False

Tags

CCSS.RI.6.7

CCSS.RI.7.7

CCSS.RI.8.7

CCSS.RL.6.7

CCSS.RL.8.7

Generative AI can predict the weather

• True

• False

Which of the following is NOT a use case for Generative AI?

• Image generation

• Speech synthesis

• Data cleaning

• Music composition

What does GPT stand for in models like GPT-3?

• Generalized Performance Task

• Generative Pre-trained Transformer

• Global Processing Technique

• Graphical Pattern Trainer

Tags

CCSS.RI.6.7

CCSS.RI.7.7

CCSS.RL.6.7

CCSS.RL.7.7

CCSS.RL.8.7

Which process involves training Generative AI models using a large dataset to learn the patterns and structures?

• Fine-tuning

• Pre-training

• Transfer learning

• Regularization