Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

A startup is refining an open-source large language model so it better follows natural-language directives like "generate an email response" or "explain this code" across many tasks, without retraining on domain-specific content. Which fine-tuning method addresses this requirement?

  • Continuous pre-training with additional domain-specific text

  • Training a brand-new model from scratch on a proprietary corpus

  • Instruction tuning on a multi-task set of instruction-response examples

  • Adding parameter-efficient adapters trained on one specialized dataset

AWS Certified AI Practitioner AIF-C01
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