Archivists Turn to LLMs to Decipher Handwriting at Scale
Archivists are increasingly utilizing large language models (LLMs) to improve the deciphering of handwritten documents. These general-purpose chatbots have shown superior performance compared to specialized tools in this area. The shift towards LLMs reflects a growing trend in the use of artificial intelligence for archival work.
- ▪Archivists are turning to large language models to enhance handwriting deciphering.
- ▪General-purpose chatbots are outperforming specialized handwriting recognition tools.
- ▪The adoption of LLMs signifies a broader trend in utilizing AI for archival tasks.
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AINews Archivists Turn to LLMs to Decipher Handwriting at Scale General-purpose chatbots are now outperforming specialized optionsJackie Snow13 May 20265 min readJackie Snow is a Los Angeles-based freelance journalist. Nicole Millman {"customDimensions": {"5":"Jackie Snow","11":2676699829,"7":"archives, artificial-intelligence, writing, chatgpt, yann-lecun","10":"archives","6":"artificial-intelligence","8":"05/13/2026"}, "post": {"id": 2676699829, "providerId": 20, "sections": [497728259, 544169523, 2267926519, 550122300, 550122302, 2289605556, 2289599765, 2289601823, 2289616795, 2289611820], "authors": [27439101], "tags": ["archives", "artificial-intelligence", "writing", "chatgpt", "yann-lecun"], "streams": [], "split_testing": {}} }
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