Which practice is vital for ensuring the robustness and safety of an intelligent system?
Training with varied and representative data
Increasing complexity without constraint
Minimizing training data for faster rollout
Limiting the system to one hardware configuration
Training the model with diverse and representative datasets is essential because it enables the system to generalize well to new, unseen data, reducing biases and errors. This leads to more reliable and safer outcomes when the system is deployed in real-world scenarios. Restricting the model to a single hardware platform doesn't inherently improve its robustness or safety. Unnecessarily increasing the model's complexity can introduce overfitting and make maintenance more difficult. Reducing the amount of training data might speed up deployment but compromises the model's ability to learn effectively, leading to unreliable and potentially unsafe predictions.
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
All IT & Cybersecurity Package plans include the following perks and exams .
Our pricing is simple. Full access to all certifications and exams in each package, for one price.
As many practice tests for as many topics as you want.
Use study mode non-stop, no limits.
Access to our AI assistant, Bash, trained to help you pass your exam.
Track your scores over time in study mode and report cards.
See how you improve over time, and where you need to focus.
Access our store with even bigger discounts than before.
Unlimited access to all performance questions and be prepared for the real thing.
All IT & Cybersecurity Package plans include unlimited access to the following study materials.
Create an account or sign in to access our study materials.