INTRO TO GENERATIVE AI Assessment

Test your knowledge with this 10-question quiz. Each question has 4 options.

Score 50% or more to pass. Good luck!

1. What is the primary function of Generative AI?

To analyze and classify existing data To create new, original content like text or images To only make predictions based on historical data To replace all human decision-making

2. Which architectural approach involves two neural networks contesting with each other?

Variational Autoencoders (VAEs) Transformer Models Diffusion Models Generative Adversarial Networks (GANs)

3. Which of these is an example of a Large Language Model (LLM) used for text generation?

DALL-E Midjourney GPT series Stable Diffusion

4. In the context of software development, what is a common application of Generative AI?

Building computer hardware Code generation and autocompletion Managing project timelines Designing user interface graphics

5. What is a significant current limitation of Generative AI models?

They are too slow to be useful They can produce hallucinations and factual inaccuracies They cannot recognize any patterns They require no data to train

6. Which ethical concern is specifically raised by the creation of 'Deepfakes'?

Economic redistribution Automated disinformation campaigns Upskilling requirements Computational costs

7. What is the practice of designing effective inputs for AI models called?

Data mining Prompt engineering Code generation Model training

8. Which of these is cited as an emerging trend in Generative AI?

A move back to rule-based systems Larger, more expensive models Multimodal models combining text, image, and audio Reduced focus on personalization

9. According to the course, what is a key strategy for mitigating bias in AI outputs?

Ignoring the problem Using only a small dataset Detecting and mitigating bias in training data Making the models less accurate

10. What is the minimum score needed to pass the final assessment for certification?

40% 50% 60% 70%