#llm-fingerprinting News & Analysis

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From

Researchers have developed SeedPrints, a novel fingerprinting method that identifies Large Language Models based on their random initialization seed rather than post-training characteristics. This approach enables model attribution and provenance verification from inception through full pretraining, addressing limitations of existing methods that only work reliably after fine-tuning.