Generative AI Quiz - Day 1 (IBM GenAI Basics)

What does 'Generative AI' primarily do?

• Analyze data

• Generate new content

• Store information

Which of the following is a foundation model developed by IBM?

• GPT-3

• BERT

• IBM Granite

4. Foundation models are trained on _________?

• Massive datasets

• Small datasets

• Single documents

• Limited samples

What does 'LLM' stand for in Generative AI?

• Large Language Model

• Logical Learning Machine

• Linked List Model

Which component helps AI models understand context and relationships in data?

• Transformers

• Neural Networks

• Decision Trees

What is the second step in how Generative AI works?

• Data collection

• Fine-tuning

• Deployment

Which company created the GPT series?

• IBM

• OpenAI

• Google

DALL-E and Midjourney are examples of Generative AI used for _________?

• Image generation

• Text summarization

• Speech recognition

• Data analysis

IBM's Generative AI approach focuses on _________

• Trust, responsibility, and open innovation

• Speed, secrecy, and closed systems

• Profit maximization and risk-taking

• Automation without ethical considerations

• Data collection and surveillance

Which IBM platform is associated with AI and model training?

• watsonx.ai

• IBM Cloud

• IBM Watson