Exam AIGP topic 1 question 70 discussion

The three main reasons training an AI model is time-consuming are: A. The complexity of the AI model. Complex models, like deep neural networks, require significant computational resources and time to optimize due to their intricate architectures and numerous parameters. C. The volume of training data. Large datasets demand more time for processing, especially during tasks like data loading, preprocessing, and model training iterations. E. The quality of the training data. Poor-quality data requires additional time for cleaning, preprocessing, and validation to ensure the model learns effectively and avoids issues like overfitting or bias. Explanation for excluded options: B. The maturity of AI governance affects ethical and regulatory compliance but doesn’t directly impact the computational time of training. D. The number of stakeholders influences project coordination but isn’t a primary factor in the training process itself.