Module 5 · Generative AI Fundamentals

Evaluating Generative AI Systems

Evaluation combines task-specific quality measures, human review, safety testing, groundedness, latency, and cost.

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Core idea

Evaluating Generative AI Systems

Evaluation combines task-specific quality measures, human review, safety testing, groundedness, latency, and cost.

Production principle: Treat the model as one probabilistic component inside a governed application, not as an unquestioned source of truth.

Visual workflow

From requirement to reliable output

1Create representative test set
2Define quality rubric
3Measure groundedness and safety
4Test latency and cost
5Monitor production drift

Practical example

Apply the concept

A team tests 200 representative questions for correctness, groundedness, refusal behavior, latency, and cost before and after every prompt or model change.

Important distinctions

ConceptMeaningHow to use it
Step 1Create evaluation setValidate in the target workflow
Step 2Choose quality criteriaValidate in the target workflow
Step 3Test safety and operationsValidate in the target workflow
Step 4Monitor after releaseValidate in the target workflow

Evaluation scorecard

01

Task quality

Correctness, relevance, completeness, consistency, and user usefulness.

02

Groundedness

Whether claims are supported by approved evidence and citations.

03

Safety

Harmful content, bias, privacy, prompt attacks, and policy adherence.

04

Operations

Latency, throughput, availability, token usage, and cost.

05

Human factors

Trust, usability, escalation, override behavior, and accountability.

06

Business value

Time saved, quality improved, risk reduced, adoption, and ROI.

AWS Certified AI Practitioner

Exam reasoning

  • Create evaluation set
  • Choose quality criteria
  • Test safety and operations
  • Monitor after release
  • Choose controls according to impact: grounding, guardrails, evaluation, monitoring, and human review solve different problems.

Key takeaways

  • Create evaluation set
  • Choose quality criteria
  • Test safety and operations
  • Monitor after release

Check your understanding

  1. Can you explain this concept in two sentences without using jargon?
  2. Can you identify the input, process, output, and validation step in the example?
  3. Can you name one suitable use case and one case where another approach is better?
  4. Which risk or limitation should a responsible implementation address?

Research references

Public sources and further reading

This lesson is original educational writing informed by the public references below. Use the sources to explore definitions, technical details, and current AWS exam objectives.