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Fundamentals of Generative AI

Generative AI Risks and Limits

Generative AI systems can produce incorrect, variable, costly, or unsafe outputs. AIF-C01 expects you to understand hallucination, grounding, non-determinism, latency, and token usage as design concerns.

Concepts

  • Hallucination is confident but incorrect or unsupported output.
  • Grounding ties model output to retrieved or supplied source material.
  • Non-determinism means identical prompts may produce different outputs unless parameters are constrained.
  • Latency and token usage affect user experience and cost.

Exam tips

  • Grounding with retrieved or supplied context can reduce unsupported answers.
  • Constrained inference settings can reduce variation but do not guarantee truth.
  • Latency and token usage affect user experience and cost.

Free AWS Certified AI Practitioner prep

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Exam fidelity: AWS lists multiple choice and multiple response for this exam. Ordering, matching, and case-study items are supplemental learning exercises; their results stay in overall study accuracy but do not count toward exam-style accuracy. Difficulty labels describe this site's scenario complexity, not an AWS-published question rating.

Reference

AIF-C01 topics and service map

Study links

AIF-C01 resources