Topic 1 Question 111
A financial institution is building an AI solution to make loan approval decisions by using a foundation model (FM). For security and audit purposes, the company needs the AI solution's decisions to be explainable.
Which factor relates to the explainability of the AI solution's decisions?
Model complexity
Training time
Number of hyperparameters
Deployment time
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コメント(4)
- 正解だと思う選択肢: A
Model complexity is the most important factor when considering the explainability of the AI solution's decisions, as simpler models with fewer parameters and layers are typically easier to explain and interpret.
👍 3aws_Tamilan2024/12/27 - 正解だと思う選択肢: A
Model complexity in machine learning refers to the capacity of a model to capture and represent patterns in the data. It involves the depth, breadth, and intricacy of the underlying structure of the model. Here are some key aspects
👍 126b8fe12024/12/26 - 正解だと思う選択肢: A
The correct answer is A. Model complexity directly affects how interpretable and explainable AI decisions are.
👍 1may2021_r2024/12/28
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