Resurrecting Retro Documentation: Fine-Tuning Modern LLMs on 1990s Tech Manuals

This article explores how fine-tuning enables the creation of specialized, locally-run LLMs trained on historical technical writing, addressing the emerging trend toward domain-specific AI tools. By leveraging 37 million words from Bitsavers' collection of vintage software manuals, the author demonstrates a practical approach to preserving distinctive writing styles while reducing reliance on frontier models. This experiment highlights the potential for custom-trained models to serve specific professional domains more effectively than general-purpose AI.