Why Generative AI is transforming technology in Prompt Engineering / GenAI - Challenge Your Understanding

Challenge - 5 Problems

🧠 Conceptual

intermediate

How does Generative AI differ from traditional AI?

Generative AI creates new content like images or text, while traditional AI mostly classifies or predicts. Which statement best explains this difference?

A Generative AI learns patterns to produce new data, traditional AI only recognizes existing patterns.

B Generative AI only works with images, traditional AI only works with numbers.

C Traditional AI can create new content, Generative AI cannot.

D Generative AI uses less data than traditional AI.

💡 Hint

Think about whether the AI creates or just analyzes data.

Generative AI models learn to generate new data similar to training data, unlike traditional AI which focuses on recognizing or predicting from existing data.

❓ Model Choice

intermediate

Choosing a model for text generation

You want to build a chatbot that writes human-like responses. Which model type is best suited?

A Transformer-based model

B Recurrent Neural Network (RNN)

C Convolutional Neural Network (CNN)

D K-Nearest Neighbors (KNN)

💡 Hint

Consider models that handle long-range context well.

Transformer models excel at understanding and generating sequences of text by capturing long-range dependencies better than RNNs or CNNs.

❓ Metrics

advanced

Evaluating a Generative AI image model

You trained a generative model to create images. Which metric best measures how realistic the generated images are?

A Accuracy

B Inception Score (IS)

C Mean Squared Error (MSE)

D Precision

💡 Hint

Look for a metric designed for image quality and diversity.

Inception Score evaluates both the quality and variety of generated images, making it suitable for generative image models.

🔧 Debug

advanced

Why does this Generative AI model produce repetitive text?

A text generation model keeps repeating the same phrase. What is the most likely cause?

A The model uses dropout layers.

B The model is trained on too much diverse data.

C The batch size during training is too large.

D The model's temperature parameter is set too low.

💡 Hint

Think about how randomness affects text generation.

A low temperature makes the model pick the most likely next word repeatedly, causing repetitive text.

🧠 Conceptual

expert

Why is Generative AI transforming technology at scale?

Which reason best explains why Generative AI is causing a big change in technology and society?

A It only works on small datasets, limiting its impact.

B It replaces all human jobs immediately without retraining.

C It automates creative tasks, enabling faster innovation and new applications.

D It requires no computing power, making it accessible everywhere.

💡 Hint

Consider how Generative AI affects creativity and productivity.

Generative AI automates creative work like writing, art, and design, speeding up innovation and enabling new technology uses.