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2 cards from this section. Quick, good the night before a test.
What is a language model?
Think about what it does with text.
Can you give an example of a prompt used with a language model?
What kind of questions can we ask a model?
What does a language model do?
Consider what models are trained on.
True or False: Language models understand meaning like humans do.
Think about how the models work.
Consider a scenario where a language model generates an inappropriate or nonsensical response. Discuss how training data quality could impact this.
What happens if the data fed into the model has errors?
Analyze the implications of context length limitations in language models. How might this affect the usefulness of such models in practical applications?
Why might short texts be easier for a model than a longer conversation?
4 more questions in this section. Enroll free to practise them all.
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