The article discusses the development of a filesystem using language models, specifically focusing on training a filesystem with fine-tuning techniques and exploring the relationship between AI and compression. It highlights the efficiency of using LLMs for compressing filesystem representations and demonstrates significant improvements over traditional methods.
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