Feasibility of AI approaches to historic building inspection report analysis

Cheribim有限公司与谢菲尔德哈勒姆大学合作，正在探索如何使用自然语言处理人工智能，就像在GPT4中使用的那样，来加强和加快对历史建筑的状态检查。保护建筑师和测量师通常花费75%以上的时间向业主提交检查报告，只是撰写和格式化报告。完全缩短这段时间的潜力是巨大的，让他们可以将自己的技能和经验用于更有影响力的工作，比如指定维修和设计。

Cheribim Ltd, in collaboration with Sheffield Hallam University, are exploring how natural language processing AI, like that used in GPT4, could be used to enhance and speed up condition inspections at historic buildings. Conservation architects and surveyors often spend up 75+% of the time it takes to deliver an inspection report to a building owner, just writing up and formatting reports. There's huge potential to cut this time completely, freeing them to use their skill and experience on higher impact work like specifying repairs and designs.