
Using LLMs to trace alchemical knowledge and decode 17th century letters
Researchers employ large language models to analyze 17th‑century alchemical manuscripts, decoding archaic letters and mapping the evolution of early chemical knowledge. By training on historical texts, the models recognize obscure terminology, cross‑reference symbols, and reconstruct context that eludes traditional philology. The approach offers a new lens for historians and chemists to trace the roots of modern science.