Train high quality supervised NLP Models

Galileo NLP Studio supports Natural Language Processing Tasks across the life-cycle of your model development. Using Galileo for NLP you can improve your NLP models by improving the quality of your training data.
During Training and Pre-Training, Galileo for NLP helps you to identify and fix data and label errors quickly. Through Insights such as Mislabeled Samples, Class Overlap, Data Error Potential and others, you can see what's wrong with your data in matter of seconds, instead of hours.
Once deployed, Galileo for NLP helps you monitor your model in production. Through its drift detection features you can measure and improve your training dataset to continuously improve your models in production.
The Galileo Console for a Named Entity Recognition run
To get started using Galileo, select your NLP task: