Topic 1 Question 56
An ML engineer needs to use Amazon SageMaker to fine-tune a large language model (LLM) for text summarization. The ML engineer must follow a low-code no-code (LCNC) approach. Which solution will meet these requirements?
Use SageMaker Studio to fine-tune an LLM that is deployed on Amazon EC2 instances.
Use SageMaker Autopilot to fine-tune an LLM that is deployed by a custom API endpoint.
Use SageMaker Autopilot to fine-tune an LLM that is deployed on Amazon EC2 instances.
Use SageMaker Autopilot to fine-tune an LLM that is deployed by SageMaker JumpStart.
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- 正解だと思う選択肢: D👍 1GiorgioGss2024/11/27
- 正解だと思う選択肢: D
LCNC solution: SageMaker Autopilot → SageMaker JumpStart → Deploy pre-trained LLM → Fine-tune for text summarization
👍 1Saransundar2024/12/04
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