Historical Text-Trained LLMs Project

This project focuses on training large language models (LLMs) on texts from before 1913, aiming to create the largest possible historical LLMs. The project provides an information hub that brings together relevant resources and promotes AI applications for historical texts. This exploration helps drive innovation in natural language processing technology for historical research, offering new perspectives for AI development. By focusing on historical data, the project may unlock cutting-edge applications such as text mining and language evolution analysis, enhancing AI’s value in cultural preservation while providing open-source platform support for developers.