What are some common challenges faced by AI during training?

What are some common challenges faced by AI during training?

Some common challenges include data quality, overfitting, underfitting, and computational resource limitations.

How does data quality affect AI training?

Data quality is crucial; poor quality data can lead to inaccurate models and unreliable predictions.

What is overfitting and how can it be prevented?

Overfitting occurs when a model learns noise in the training data. It can be prevented by using techniques like cross-validation and regularization.

Can you explain underfitting?

Underfitting happens when a model is too simple to capture the underlying patterns in the data, leading to poor performance.

What role do computational resources play in AI training?

Computational resources affect the speed and efficiency of training; insufficient resources can slow down the process or limit model complexity.