Stabilize output format and use current internal knowledge.
The knowledge changes frequently.
Choose two designs.
Use retrieval for changing facts and evaluate fine-tuning for repeated formats or patterns; authorization remains an independent control.
Detailed explanation
Freshness and deletion are easier to manage.
Freshness and deletion are easier to manage.
Training data and reproducibility are managed.
Training data and reproducibility are managed.
Updates and deletion become difficult.
Updates and deletion become difficult.
Authorization needs an independent control.
Authorization needs an independent control.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 2.1・2.3の基盤モデル適応、RAG、認可を確認する。Expected result
知識更新・形式適応・権限を混同せず方式を選べる。Key points
- RAG
- Fine-tuning
- Authorization
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.