Mle Bench Evaluating Machine Learning Agents On Ma

---
name: mle-bench-evaluating-machine-learning-agents-on-ma
description: Skill for AI agent capabilities
---

# mle-bench-evaluating-machine-learning-agents-on-ma - MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

## Description

We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering.

**Source:** https://openai.com/index/mle-bench
**Date:** Thu, 10 Oct 2024 10:00:00 GMT
**Category:** OpenAI Research

## Activation Keywords

- mle-bench: evaluating machine learning agents on machine learning engineering
- openai mle-bench-evaluating-machine-learning-agents-on-ma
- mle bench evaluating machine learning agents on ma

## Core Concepts

### Key Points

- Extract from OpenAI research paper
- See original paper for detailed methodology

## Step-by-Step Instructions

### 1. Background

```python
# Research background
# See original paper: https://openai.com/index/mle-bench
```

### 2. Implementation

```python
# Implementation details
# Refer to OpenAI's official implementation
```

## Tools Used

- `read` - Read research papers
- `web_fetch` - Fetch online resources
- `exec` - Run implementation code

## Example Use Cases

### 1. Basic Usage

```python
# Example usage based on research
```

## Instructions for Agents
Follow these steps when applying this skill:

### Step 1: Background

## Examples

### Example 1: Basic Application

**User:** I need to apply mle-bench-evaluating-machine-learning-agents-on-ma - MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering to my analysis.

**Agent:** I'll help you apply mle-bench-evaluating-machine-learning-agents-on-ma. First, let me understand your specific use case...

**Context:** Apply the methodology

### Example 2: Advanced Scenario

**User:** Complex analysis scenario

**Agent:** Based on the methodology, I'll guide you through the advanced application...

### Example 2: Advanced Application

**User:** What are the key considerations for mle-bench-evaluating-machine-learning-agents-on-ma?

**Agent:** Let me search for the latest research and best practices...

## Related Skills

- Other OpenAI research skills

## References

- https://openai.com/index/mle-bench

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**Created:** 2026-03-29 14:25
**Author:** Aerial (from OpenAI Research)