Best AI agent setup for ML engineering benchmark
OpenAI's o1-preview with AIDE scaffolding shows strong performance on ML engineering tasks.
OpenAI's o1-preview model with AIDE scaffolding.
Evaluating AI agents on machine learning engineering tasks using the MLE-bench benchmark.
This setup achieved at least a Kaggle bronze medal level in 16.9% of the benchmark's competitions.
October 2024
OpenAI's o1-preview model, when paired with AIDE scaffolding, demonstrated the best performance on the MLE-bench benchmark for machine learning engineering tasks.
The combination of a frontier language model and specific scaffolding proved effective in tackling complex ML engineering challenges.
- MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering ↗OpenAI · OpenAI News · Oct 10, 2024 · paraphrased
First seen on Subvolts Oct 10, 2024. Updated Sep 11, 2026. Spotted a problem? Tell us.
- MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringOpenAI · OpenAI News · Oct 10, 2024
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
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Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.