AWS Certified AI Practitioner AIF-C01 Practice Question
A development team evaluates two large language models hosted on Amazon Bedrock. Both achieve the same accuracy on their validation set. If the team wants to minimize environmental impact during production, which characteristic should tip the decision?
Select the model that was trained on the largest publicly available dataset.
Select the model that supports the longest prompt context window.
Select the model that is the most recent version released by its provider.
Select the model that requires fewer GPU compute resources for each inference request.
When accuracy is equivalent, a model that needs fewer GPU cycles, has a smaller memory footprint, or generally requires less compute per inference will draw less electrical power over time. Lower energy use directly reduces the carbon emissions associated with running the workload. Dataset size, context-window length, or release date do not necessarily correlate with energy consumed during inference and therefore are not primary sustainability factors in this comparison.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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