AWS Certified AI Practitioner AIF-C01 Practice Question

A startup has a limited budget and only a small set of labeled legal contracts, yet it needs a text-summarization model that understands legal terminology. Under the foundation model lifecycle, what is the primary advantage of choosing fine-tuning over training a model from scratch?

  • It replaces all model weights with random values so training restarts completely from zero knowledge.

  • It removes the need for any domain-specific training data because the pre-trained model already covers every task.

  • It encrypts the model's parameters to prevent any further updates after deployment.

  • It adapts an existing pre-trained model to the legal domain using a relatively small dataset and far less compute cost.

AWS Certified AI Practitioner AIF-C01
Fundamentals of Generative AI
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