Practice How Generative Ai Tools Work (16.3) - Generative AI Tools

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6 sample questions

Question 1.
What does an LLM primarily do?
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Think about text generation.
Question 2.
How many parts does a GAN consist of?
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One creates, the other evaluates.
3Question 3.
What does LLM stand for?
- Large Language Model
- Logical Learning Model
- Linguistic Logic Model
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The abbreviation relates to language.
4Question 4.
True or False: GANs consist of one neural network only.
- True
- False
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Remember the two-part nature of GANs.
Question 5.
Design a simple GAN architecture to generate images of cats. Describe each part's role and how they interact.
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Focus on how each network provides feedback.
Question 6.
Evaluate a given scenario where an LLM produces a biased response. What steps would you take to correct it?
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Concentrate on training adjustments and monitoring.

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