Large Language Models Synergize with Automated Machine Learning

arXiv:2405.03727v1 Announce Type: cross
Abstract: Recently, code generation driven by large language models (LLMs) has become increasingly popular. However, automatically generating code for machine learning (ML) tasks still poses significant challenges. This paper explores the limits of program synthesis for ML by combining LLMs and automated machine learning (autoML). Specifically, our goal is to fully automate the code generation process for the entire ML workflow, from data preparation to modeling and post-processing, utilizing only textual descriptions of the ML tasks. …

abstract arxiv automated automated machine learning automl become challenges code code generation cs.ai cs.lg cs.pl cs.se however language language models large language large language models llms machine machine learning paper popular synthesis tasks type