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How would you adjust temperature and max_tokens to get a very predictable but lengthy output?

hard📝 Application Q9 of 15
LangChain - LLM and Chat Model Integration
How would you adjust temperature and max_tokens to get a very predictable but lengthy output?
Atemperature = 1, max_tokens = 10
Btemperature = 0, max_tokens = 100
Ctemperature = 0.9, max_tokens = 5
Dtemperature = 1.5, max_tokens = 50
Step-by-Step Solution
Solution:
  1. Step 1: Define predictable and lengthy output

    Predictable means low temperature (0), lengthy means high max_tokens.
  2. Step 2: Identify matching option

    temperature = 0, max_tokens = 100 sets temperature to 0 and max_tokens to 100, fitting the criteria.
  3. Final Answer:

    temperature = 0, max_tokens = 100 -> Option B
  4. Quick Check:

    Predictable + lengthy = low temp + high max_tokens [OK]
Quick Trick: Low temperature + high max_tokens = long, predictable output [OK]
Common Mistakes:
  • Using high temperature for predictability
  • Setting low max_tokens for lengthy output
  • Confusing temperature effect

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