Leeky

Black box language model leakage/contamination testing tool

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Leeky?

Leeky is an open-source tool designed to test for data leakage and contamination in black-box language models, ensuring the integrity of AI systems.

Key differentiator

Leeky stands out as an open-source tool specifically designed for testing data leakage and contamination in black-box language models, offering detailed insights into potential risks.

Capability profile

Strength Radar

Detects data lea…Provides detaile…Flexible configu…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Detects data leakage in black-box language models

Provides detailed reports on contamination risks

Flexible configuration for various testing scenarios

Fit analysis

Who is it for?

✓ Best for

Teams developing black-box language models who need to ensure no data leakage occurs

Organizations that require rigorous testing for AI safety and compliance

Researchers studying the security aspects of machine learning systems

✕ Not a fit for

Projects where real-time performance is critical (Leeky may be resource-intensive)

Teams without access to local compute resources (requires a local setup)

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with Leeky

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →