Labelf retrains every 20th example its gets, which gives you data that is always in-sync with the model
Labelf’s NLP (Natural Language Processing) AI model provides next level of accuracy with transformer-based analysis powered by the latest deep learning developments.
We can quickly identify what examples is needed for improvement. By actively searching for examples where the model has the wrong prediction but is confident.
Improve weak classes
Labelf keeps track of its performance on all classes and is actively using that information for its recommendations saving you time focusing on the right training data
Expanding business overseas? No worries! Train your model simply in one language, and it works in 100+ languages.
Finding confusing examples
Finding the most confusing examples for the model allows labelf to adjust and help the model become more confident and accurate