AWS Certified AI Practitioner AIF-C01 Practice Question

A startup wants to customize a foundation model without running any additional training jobs. Instead, it will include several example question-answer pairs inside each prompt (in-context learning). What is the primary cost implication of using this method?

  • Higher per-inference charges because the longer prompt increases the number of billed tokens.

  • Additional licensing fees required for changing the model's underlying weights.

  • A one-time GPU training cost comparable to full model fine-tuning.

  • Ongoing storage fees for maintaining a separate, customized model checkpoint in Amazon S3.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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