What is ongoing training in AI?

What is ongoing training in AI?

Ongoing training in AI refers to the continuous process of updating and improving AI models with new data.

Why is ongoing training important?

It's important because it helps AI systems adapt to new information, improving their accuracy and relevance.

How often should AI models be retrained?

The frequency of retraining depends on the application, but it's often done regularly or when significant new data is available.

What challenges are associated with ongoing training?

Challenges include data quality, computational resources, and ensuring that the model doesn't forget previous knowledge.

Can ongoing training lead to overfitting?

Yes, if not managed properly, ongoing training can lead to overfitting, where the model performs well on training data but poorly on new data.