Techniques to Improve Model Output (20%)
Sampling Parameters
KEY CONCEPTS
- →Temperature: Controls randomness (0=deterministic, higher=creative)
- →Top-P (nucleus sampling): Probability-based token selection
- →Top-K: Fixed number of token candidates
- →Token count and output length limits
- →Safety settings for content filtering
WHAT THE EXAM IS REALLY TESTING
Know what each parameter does. Temperature is most commonly tested.
COMMON TRAPS
- !Thinking temperature affects quality, not randomness
- !Confusing Top-P and Top-K effects
- !Forgetting safety settings exist
OFFICIAL DOCUMENTATION
PRACTICE QUESTIONS
3 questions available for this topic
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