​The generation of training data can be a challenging task. To cut down the needed time to annotate, the Flai web application offers an AI learning point module that leverages active learning.

The system asks users to annotate just a few most informative examples and then retrains the AI models. The process can be repeated until satisfactory results are generated.
 

If you notice areas where the AI model does not perform optimally, use Tools for manual annotation directly on Flai's cloud-based machine learning platform.
 

To train machine learning models users have to provide training data.