Answers need current policy facts and a consistent style.
Choose the method.
Choose two descriptions.
Use retrieval for changing facts and sources, and consider tuning for stable task or style behavior; both need data and evaluation.
Detailed explanation
Knowledge can update without retraining.
Knowledge can update without retraining.
Behavior can become consistent.
Behavior can become consistent.
It adds context at inference.
It adds context at inference.
Updates and grounding need separate design.
Updates and grounding need separate design.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 2.2のRAG、ファインチューニング、データ更新を確認する。Expected result
知識の更新とモデルの振る舞いを分けて、RAGと調整を選べる。Key points
- RAG
- Fine-tuning
- Update
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.