1. Best use of GANs for Rosy’s fashion app

❌ Utilizing natural language for chatbot conversations
❌ Translating text between languages
✅ Generating realistic images based on training data
❌ Generating text from voice conversations

Explanation:
GANs are powerful for image generation — perfect for fashion design, virtual try-ons, or creating new clothing styles.

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2. Best architecture for a memory-efficient chatbot on limited hardware

✅ Recurrent neural networks (RNNs)
❌ BERT
❌ Variational autoencoders (VAEs)
❌ GANs

Explanation:
RNNs are lightweight and generate responses based on immediate previous context, making them ideal for resource-constrained devices.

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3. Which model primarily functions as a decoder?

❌ BERT
❌ BART
✅ Generative Pretrained Transformer (GPT)
❌ T5

Explanation:
GPT is a decoder-only model specialized in text generation.

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4. Which GenAI capability simplifies complex patient test results?

❌ Predict patient results
✅ Generate contextually relevant text from existing data
❌ Compress data
❌ Create 3D images

Explanation:
GenAI models can rewrite and simplify medical information into understandable language.

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5. Why are GPT models called “large”?

❌ They have high memory requirements
❌ They are used in many industries
✅ They contain billions of parameters
❌ They are applied to many tasks

Explanation:
GPTs are called “large” because of their massive parameter count, which enables sophisticated language understanding and generation.

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🧾 Summary Table

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