Practice Limitations Of Llms (2.6) - Understanding AI Language Models - Prompt Engineering fundamental course

Practice: Limitations of LLMs

Lesson 2.6Understanding AI Language Models

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10 questions

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6 sample questions

Question 1.
What is hallucination in LLMs?
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Think of it as the model creating stories that sound true.
Question 2.
Name one limitation related to context length in LLMs.
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Consider how much information you share in one question.
3Question 3.
What does the term 'hallucination' refer to in LLMs?
- a) Creating realistic facts
- b) Generating false information
- c) Remembering past interactions
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Think about how a story can sound true but be made up.
4Question 4.
True or False: LLMs have a robust real-time memory feature.
- True
- False
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Consider whether a model can recall what you discussed in previous sessions.
Question 5.
Create a prompt that could lead to hallucination, then identify why that might happen.
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Consider the relationship between factual accuracy and the models' training data.
Question 6.
Design an experiment to test sensitivity to prompt wording. Write two prompts about the same topic and compare the responses.
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Focus on how altering just a few words can change the output's focus.

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