GregLab | Exam Prep

Fundamentals of Generative AI

Inference Parameters

Inference parameters control generation behavior, length, and cost. The exam often asks which setting makes outputs more deterministic, more varied, shorter, or stopped at a boundary.

Concepts

  • Temperature controls randomness; lower values are more deterministic, higher values are more varied.
  • Top-p nucleus sampling limits candidates to a cumulative probability mass.
  • Top-k limits sampling to the k most likely next tokens where supported.
  • Max tokens limits response length and cost.
  • Stop sequences tell a model when to stop generating.

Exam tips

  • Lower temperature is more deterministic; higher temperature is more varied.
  • Max tokens limits generated length and can control cost.
  • Stop sequences end generation when a specified pattern appears.

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Reference

AIF-C01 topics and service map

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AIF-C01 resources