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?
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.
Question context implies pure LCNC for LLM fine-tuning, JumpStart provides the easiest path by offering pre-trained LLMs and easy fine-tuning workflows.
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rinip86277
1 month agoSaransundar
8 months agoGiorgioGss
8 months, 1 week ago