Recover a Capability Lost During Fine-Tuning Collection Sequential fine-tuning quietly degraded a capability the model already had. Authentrics restores it — no retraining from scratch. • 1 item • Updated 20 days ago
Removing Memorized PII From a Fine-Tuned Model Collection A model fine-tuned on data containing PII memorized it. Authentrics locates and removes that influence — no retraining from scratch. • 1 item • Updated 20 days ago
Reading How a Mixture-of-Experts Model Routes Its Inputs Collection Reading how Mixtral-8x7B routes activations, and how that structure emerges across training — without moving weights off your hardware. • 1 item • Updated 20 days ago
Diagnosing What Changed Across a Model's Training Run Collection Tracking parameter and activation drift across the NVIDIA Nemotron Cascade 8B checkpoint lineage to see what changed, where, and when. • 1 item • Updated 20 days ago
Finding and Removing a Neural Network Backdoor Collection A BadNets backdoor is planted in one MNIST training epoch, localized via checkpoint drift, and removed with Authentrics — no retraining from scratch. • 2 items • Updated 20 days ago