Traditional Software Tools Beat AI Assistants at Fine-Tuning Machine Learning

A new study found that older, established optimization methods outperform newer AI language models when tasked with tuning the settings that make machine learning systems work better. The finding suggests that combining both approaches may be more practical than relying on AI agents alone.