[R] Is autoresearch really better than classic hyperparameter tuning?

Build an open-source library that automates hyperparameter search using LLM-based reasoning rather than static search spaces. This tool would dynamically adjust search strategies based on intermediate training results, reducing GPU compute waste.

Suggested repo: auto-tuner

"Stop wasting GPU hours on grid search—let an LLM optimize your training pipeline in real-time."

Estimated effort: 40h