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AWS Certified AI Practitioner AIF-C01 Practice Question

To get repeatable, highly consistent answers from a text foundation model, which adjustment to the temperature inference parameter should the developer make?

  • Set the temperature close to 0 to minimize randomness.

  • Leave temperature unchanged and lower the max-tokens limit instead.

  • Raise the temperature above 1.5 to reduce variability.

  • Increase the temperature so the model explores more token options.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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