An internal-document answer is fluent but sometimes wrong.
Measure unsupported claims.
Choose two evaluations.
Break answers into claims and check evidence, omissions, and contradictions, including ambiguous, unsupported, and updated-document cases.
Detailed explanation
Factuality is measured at claim level.
Factuality is measured at claim level.
Failure-prone conditions are covered.
Failure-prone conditions are covered.
Fluency does not prove truth.
Fluency does not prove truth.
High-impact individual failures can be hidden.
High-impact individual failures can be hidden.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 3.4の生成品質、グラウンディング、幻覚評価を確認する。Expected result
流暢さと事実性を分け、根拠のない主張をケース別に評価できる。Key points
- Hallucination
- Factuality
- Claims
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.