AWS Certified AI Practitioner AIF-C01 Practice Question

A startup wants its foundation model to better understand industry-specific jargon. The team plans to keep training the model on a large collection of unlabeled industry documents using the same self-supervised objective that was used during the model's original pre-training. What is this training approach called?

  • Prompt engineering with few-shot examples

  • Reinforcement learning from human feedback

  • Continuous pre-training for domain adaptation

  • Supervised fine-tuning with labeled data

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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