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AWS Certified AI Practitioner AIF-C01 Practice Question

A developer lowers the Top-K value from 40 to 5 when calling a large language model through Amazon Bedrock. What effect will this change most likely have on the model's token selection during inference?

  • The model will switch to greedy decoding and always choose the single most-likely token.

  • The temperature parameter will be ignored, and only Top-K will control randomness.

  • The model will consider fewer high-probability tokens, making its responses less random and more predictable.

  • The model will generate longer outputs because more tokens can be selected before repetition occurs.

AWS Certified AI Practitioner AIF-C01
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