Large language models help computer programs to evolve
成果类型：
Editorial Material
署名作者：
Mouret, Jean-Baptiste
署名单位：
Universite de Lorraine; Centre National de la Recherche Scientifique (CNRS)
刊物名称：
Nature
ISSN/ISSBN：
0028-4326
DOI：
10.1038/d41586-023-03998-0
发表日期：
2024-01-18
页码：
452-453
关键词：
摘要：
A branch of computer science known as genetic programming has been given a boost with the application of large language models that are trained on the combined intuition of the world's programmers.