Evaluate a large model that can be reused for several business tasks.
Consider how it can be adapted after pre-training.
Which statement best describes a foundation model?
A foundation model is broadly pre-trained and can be adapted to many downstream tasks with prompts or additional methods.
Detailed explanation
Foundation models learn broad patterns and can be adapted for different uses.
Foundation models learn broad patterns and can be adapted for different uses.
A fixed script is not a foundation model.
A fixed script is not a foundation model.
Storage is not a model.
Storage is not a model.
An audit log records activity; it is not a model.
An audit log records activity; it is not a model.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01ガイドのDomain 2.1で、foundation modelの定義を確認する。Expected result
基盤モデルを、複数用途へ適応可能な事前学習済みモデルとして説明できる。Key points
- Pre-training
- Downstream tasks
- Adaptation
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.