Pass product photos and descriptions to a model for inspection.
Check quality and sensitivity for each modality.
Choose two appropriate practices.
Verify supported modalities, formats, resolutions, and sizes, and classify privacy and quality risks in images as well as text.
Detailed explanation
Unsupported or poor-quality input may fail or reduce quality.
Unsupported or poor-quality input may fail or reduce quality.
Faces, screens, and documents can contain sensitive data.
Faces, screens, and documents can contain sensitive data.
Blur, crops, and resolution affect recognition.
Blur, crops, and resolution affect recognition.
Recognition can be uncertain and needs evaluation.
Recognition can be uncertain and needs evaluation.
Try it yourself
An example you can run in a temporary verification environment.
Amazon Bedrock公式マルチモーダルモデル仕様とAIF-C01 Domain 2.2を確認する。Expected result
画像・テキストを含む入力の仕様、プライバシー、品質評価を説明できる。Key points
- Modalities
- Input quality
- Image privacy
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.