Grade 12 Quiz 1 - AI Model Cycle

True or False:

There are 5 stages in AI life cycle?

• True

• False

This stage involves identifying these elements and gathering the relevant data, followed by meticulous preparation and cleaning of the data for analysis.

• Model Development

• Planning and Data Collection

• Model Validation

• Deployment

This stage focuses on selecting appropriate modeling techniques and utilizing the right tools to develop models that are both effective and efficient.

• Model Development

• Planning and Data Collection

• Model Validation

• Deployment

This stage involves rigorous testing of the models using various methods to assess their accuracy and generalizability.

• Model Development

• Planning and Data Collection

• Model Validation

• Deployment

This stage requires strategic planning to address potential operational challenges and to ensure that the AI models can be seamlessly incorporated into existing systems.

• Model Development

• Planning and Data Collection

• Model Validation

• Deployment

This includes regularly assessing how the models perform in the live environment and making necessary adjustments and updates based on performance data.

• Model Development

• Monitoring and Maintenance

• Model Validation

• Deployment

True or False:

The final stage of the AI model cycle involves the continuous monitoring of model performance once deployed.

• True

• False

True or False:

The stage 3 of the AI model cycle is Deployment.

• True

• False

True or False:

The stage 1 of the AI model cycle is Model Development.

• True

• False

True or False:

The stage 5 of the AI model cycle is Planning and Data Collection.

• True

• False