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AWS Certified AI Practitioner AIF-C01 Practice Question

Before any task-specific fine-tuning, why is a foundation model first pre-trained on a massive, diverse, unlabeled dataset in an AWS environment?

  • To shrink the number of model parameters so deployment costs are minimal.

  • To ensure the model produces deterministic, identical responses for every prompt.

  • To learn broad statistical patterns and general representations that can be adapted to many downstream tasks.

  • To immediately align the model to a single business domain and reduce post-training work.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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