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AWS Certified AI Practitioner AIF-C01 Practice Question

A team plans to fine-tune a publicly available large language model in Amazon SageMaker JumpStart so it can answer questions about the company's product manuals. What rule of thumb should they use to decide whether they have enough training examples to fine-tune the model without overfitting?

  • Collect 10-50 representative examples and start training immediately.

  • Accumulate more than 1 million examples so the model relearns the entire domain from scratch.

  • Gather several hundred to a few thousand diverse examples that cover common queries.

  • Aim for 50-100 well-crafted examples, then rely on prompt engineering for the rest.

AWS Certified AI Practitioner AIF-C01
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