CHAPEL HILL, N.C., Feb. 28 -- The University of North Carolina at Chapel Hill issued the following news release:
A new study from UNC-Chapel Hill researchers shows that advanced artificial intelligence tools, specifically large language models (LLMs), can accurately determine the locations where plant specimens were originally collected, a process known as georeferencing. This task has traditionally been slow, expensive and dependent on significant manual effort. The team found that LLMs can complete this work with near-human accuracy while being significantly faster and more cost-effective.
"Our study explores how large language models can take on one of the biggest bottlenecks in digitizing plant collections," said Yuyang Xie, first aut...