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AWS Certified AI Practitioner AIF-C01 Practice Question

In the training lifecycle of a foundation model, what does the fine-tuning stage usually involve?

  • Retrieving external documents at inference time and appending them to the prompt to improve answer accuracy.

  • Updating a pre-trained model's weights with a small, task-specific labeled dataset to adapt it to a particular use case.

  • Training the model from the beginning on a very large unlabeled corpus to learn general language patterns.

  • Feeding new unlabeled data to the model during inference so it learns continuously without changing its parameters.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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