ProFLingo: A Fingerprinting-based Copyright Protection Scheme for Large Language Models

arXiv:2405.02466v1 Announce Type: cross
Abstract: Large language models (LLMs) have attracted significant attention in recent years. Due to their "Large" nature, training LLMs from scratch consumes immense computational resources. Since several major players in the artificial intelligence (AI) field have open-sourced their original LLMs, an increasing number of individual researchers and smaller companies are able to build derivative LLMs based on these open-sourced models at much lower costs. However, this practice opens up possibilities for unauthorized use or reproduction that …

abstract artificial artificial intelligence arxiv attention computational copyright copyright protection cs.cr cs.lg intelligence language language models large language large language models llms major nature protection researchers resources scratch training training llms type