Ts_zip: Text Compression Using Large Language Models

This article discusses a research project, Ts_zip, that utilizes Large Language Models (LLMs) for text compression. The core idea is to leverage the generative capabilities of LLMs to reduce the size of text data. The article likely explores the methodology, performance, and potential applications of this approach. The source, Hacker News, suggests a technical audience interested in innovation and practical applications.