Become GARP Certified with updated RAI exam questions and correct answers
A tech firm is evaluating different models for an NLP project requiring high computational efficiency and parallel processing. Why might transformers be more suitable than RNNs for this task?
A financial institution is developing a credit risk model using a machine learning algorithm. The data science team decides to split their dataset into three parts: training, validation, and test sets. What is the primary purpose of the validation set in this setup?
During an NLS optimization, the analyst uses a gradient descent algorithm to update model parameters. If the improvement in the objective function falls below a certain threshold, the optimization process stops. What is the purpose of this threshold in NLS optimization?
Which of the following scenarios represents a binary classification problem?
A financial institution is implementing an AI model that uses proxies for loan approval decisions. Which of the following is a potential risk associated with using proxies?
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