Câu 53: AWS Certified Machine Learning Engineer - Associate MLA-C01
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?
Nội dung câu hỏi
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?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. Use SageMaker Studio to fine-tune an LLM that is deployed on Amazon EC2 instances.
- B. Use SageMaker Autopilot to fine-tune an LLM that is deployed by a custom API endpoint.
- C. Use SageMaker Autopilot to fine-tune an LLM that is deployed on Amazon EC2 instances.
- D. Use SageMaker Autopilot to fine-tune an LLM that is deployed by SageMaker JumpStart. — đáp án hiện tại
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