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2 cards from this section. Quick, good the night before a test.
What does a lower temperature do in language model outputs?
Think about predictability.
How does top-p sampling influence language model behavior?
Consider how it narrows the choices available.
What is the primary function of the temperature parameter in language models?
Consider how consistent the output should be.
True or False: Top-p sampling allows selecting from any token regardless of its probability.
Reflect on the sampling criteria.
Design a prompt that would benefit from a temperature setting of 0.7 and explain your reasoning.
Consider what the desired outcome of the writing should be.
You have a language model generating product descriptions. Should you use a high top-p value or a low one? Justify your answer.
Think about the nature of product descriptions and customer clarity.
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