AWS Certified AI Practitioner AIF-C01Demo

Question

An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms.

What should the firm do when developing and deploying the LLM?

Choose two

A Include fairness metrics for model evaluation.
B Adjust the temperature parameter of the model.
C Modify the training data to mitigate bias.
D Avoid overfitting on the training data.
E Apply prompt engineering techniques.

Explanation

Responsible AI development for document automation requires two complementary practices: including fairness metrics ensures the model doesn't discriminate against groups or introduce harmful bias in processing outcomes; modifying training data to mitigate bias addresses the root cause by ensuring the model learns from representative, balanced examples. Temperature adjustment affects output randomness, not ethics; overfitting prevention and prompt engineering are optimization techniques but don't directly address responsible development principles.

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AWS Certified AI Practitioner AIF-C01Demo

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