A visual guide to text classification and model calibration

The guide’s author describes a visual overview of language models for text classification and calibration, with hands-on experiments on accuracy and efficiency. A researcher sharing the guide argues that models need to recognize uncertainty to be useful in healthcare, law and scientific discovery. The researcher says training more calibrated models and evaluating them in real-world workflows remain open challenges.