AIF-C01 · Question #371
A company is developing a product recommendation application by using a generative AI model. The company must minimize the application's environmental impact. Which solution will meet these…
The correct answer is A. Optimize the deployed model architecture to prioritize computational efficiency during model. Optimizing the model architecture for computational efficiency reduces the compute resources and energy required during inference, which directly lowers the environmental impact of running the generative AI application.
Question
A company is developing a product recommendation application by using a generative AI model. The company must minimize the application’s environmental impact. Which solution will meet these requirements?
Options
- AOptimize the deployed model architecture to prioritize computational efficiency during model
- BAdopt a distributed inference approach by using multiple smaller models across multiple
- CAdopt a hybrid strategy by deploying the model on premises and storing the data on AWS.
- DDeploy multiple models and use a dynamic model selection mechanism that queries different
How the community answered
(66 responses)- A62% (41)
- B5% (3)
- C11% (7)
- D23% (15)
Explanation
Optimizing the model architecture for computational efficiency reduces the compute resources and energy required during inference, which directly lowers the environmental impact of running the generative AI application.
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