The Largest operates an AI red‑teaming platform that lets researchers test, benchmark, and improve the robustness of language models against jailbreak attacks. It offers open‑source datasets such as the Pliny track and hosts multiple competition tracks where participants can compare performance metrics and submit adversarial prompts.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and researchers need reliable methods to assess how language models respond to jailbreak prompts, but existing tools lack standardized benchmarks and comprehensive datasets, making it difficult to measure and improve model safety.
Solution
The Largest offers an AI red‑teaming platform that enables users to evaluate language model robustness against jailbreak attacks through structured competition tracks. Participants can submit adversarial prompts, receive automated scoring based on jailbreak success rates, and compare results against historical winners such as HackAPrompt 1.0. The platform also provides open‑sourced access to the Pliny track dataset, which includes all prior submissions and detailed performance analytics. By focusing on minimizing jailbreak success rates, the service helps organizations identify vulnerabilities, refine safety mitigations, and demonstrate compliance with security standards.
Target Audience
Primary users are AI safety researchers, language model developers, and enterprises that need to validate the security of their conversational AI systems.
Features
- Four distinct competition tracks for testing a variety of jailbreak strategies
- Automated evaluation metrics that calculate total jailbreak success rate (lower is better)
- Open‑source Pliny track dataset with complete submission history and performance analysis tools
- Leaderboard benchmarking against past winners and industry baselines
- Detailed analytics dashboards that break down attack vectors and model response patterns