10 questions · need 7/10 to pass.
Q1.Which of these correctly identifies the role of "Why Transformers Took Over AI" in the broader system?
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Q2."Fine-tuning vs prompting — when to do which" — which of these claims is supported by the module?
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Q3.Which statement about how "Why Transformers Took Over AI" actually works is correct?
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Q4.When applying "Putting it together — a minimal AI feature from API to user" in practice, which of these holds?
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Q5.Which statement about how "Make AI Answer From Your Own Documents (RAG)" actually works is correct?
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Q6.Which fact about "Turn Text Into Numbers That Capture Meaning (Embeddings)" matches the mechanism the module covered?
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Q7.When applying "Run a Pretrained Model in 10 Lines (HuggingFace)" in practice, which of these holds?
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Q8.For "How Do You Know Your AI Is Any Good? (Evals)", which detail or constraint from the module is accurate?
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Q9.Which of these correctly identifies the role of "Run a Pretrained Model in 10 Lines (HuggingFace)" in the broader system?
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Q10.For "Two Kinds of Transformers (BERT vs GPT)", which detail or constraint from the module is accurate?
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