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AWS Certified AI Practitioner AIF-C01 Practice Question

A healthcare provider wants its text-generation foundation model to use accurate medical terminology when drafting patient discharge summaries. The team has several thousand historical summaries but does not want to rebuild the model from scratch. Which approach most directly helps the model specialize in the healthcare domain?

  • Embed several discharge summaries in each prompt as few-shot examples without altering model parameters.

  • Continue pre-training the model on a large crawl of general web pages to broaden its knowledge base.

  • Run reinforcement learning from human feedback (RLHF) using generic preference ratings to improve answer quality.

  • Fine-tune the model on the organization's corpus of medical documents so the weights adapt to healthcare language (domain adaptation).

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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