Practice Learning Objectives (2.0) - Understanding AI Language Models

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a language model?
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Think about how predictive text functions on smartphones.
Question 2.
Name one example of a large language model.
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Focus on models used for text generation.
3Question 3.
What does a language model do?
- Generates images
- Predicts the next word in a sequence
- Analyzes data
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Recall how predictive text systems work.
4Question 4.
True or False: LLMs always provide accurate information.
- True
- False
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Consider the definition of hallucination in AI.
Question 5.
Discuss the implications of relying on LLMs for sensitive tasks. What precautions should prompt engineers take?
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Think through ethical considerations and scenarios.
Question 6.
Create a prompt designed for GPT and another for Claude. Explain the reasoning behind your choices based on the strengths of each model.
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Consider the nature of your request and the model's intended strengths.

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