Compare several model candidates.
Meet quality, cost, security, and latency requirements.
Choose two practices.
Define modality, language, quality, safety, context, SLA, and data-use requirements, then test representative data for quality, refusal, p95, cost, and provider terms.
Detailed explanation
Retries, quality, safety, and latency matter.
Real operating fit is measured.
Size does not prove fit.
Candidates are compared consistently.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 2.1の基盤モデル選択、評価、コスト、データ利用条件を確認する。
Official references
What to confirm
モデル名や大きさだけでなく、要件と実測結果で候補を選べる。
Key points
- Requirements
- Model comparison
- Total cost
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
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Model selection
Choosing a model by comparing its fit to defined functional and operational requirements.
Evaluation set
A representative dataset used to compare models or versions consistently.