Explain the difference between a foundation model and an application model.
Separate general learning from task adaptation.
Choose two correct statements.
Pretraining learns general patterns from broad data, after which prompting, retrieval, or fine-tuning can adapt the model to a use case.
Detailed explanation
It forms capabilities beyond one narrow business task.
It forms capabilities beyond one narrow business task.
Different adaptation methods address different requirements.
Different adaptation methods address different requirements.
Bias can remain in data and design.
Bias can remain in data and design.
Knowledge is limited by training and retrieval sources.
Knowledge is limited by training and retrieval sources.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01ガイドDomain 2.1の基盤モデルと事前学習を確認する。Expected result
事前学習と用途適応、知識の限界を区別できる。Key points
- Pretraining
- Adaptation
- Limitations
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.