Model Evaluation | Signal Syntax Blog

October 12, 2026 RAG & LLM Systems

Can a Classifier's Confidence Decide Which Clinic Notes a Person Checks? Testing Jev on 140 Visit Notes

I tested Jev, a new model from TypeSafe AI that answers classification questions with probabilities instead of generated text, on 140 made-up visit notes from a fertility and gynecology practice. It labeled 138 correctly in 2.2 seconds for less than half a cent, and with a review threshold of 0.8 both mistakes went to a person while the other 132 notes were all correct.

Text Classification Model Evaluation LLM Evaluation Healthcare Jev Python

October 1, 2026 Computer Vision

Can a Segmentation Model Catch Mistakes in Its Own Training Labels?

A nuclei segmentation pipeline on public microscopy data, from checking the hand-drawn masks to a web app that runs on a CPU, and what the trained model found in the labels it learned from.

Computer Vision Image Segmentation Data Labeling Transfer Learning Model Evaluation ONNX PyTorch Deep Learning Microscopy