Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

A team wants to add a domain-specific chatbot to its website. They can either pre-train a large language model from scratch or fine-tune an existing foundation model. From a cost perspective, which statement is MOST accurate?

  • Pre-training from scratch is cheaper than fine-tuning because the training data can be collected from the public domain at no cost.

  • Pre-training costs are lower than in-context learning because pre-training avoids ongoing inference charges.

  • Pre-training from scratch is typically the most expensive option because it needs massive datasets and compute resources, while fine-tuning a pre-trained model costs far less.

  • Both pre-training and fine-tuning cost roughly the same if the team rents GPUs on demand.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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