What is TrustTest?
TrustTest functions as a specialized testing framework for evaluating and securing AI models and LLM workloads. While traditional testing frameworks focus on code functionality and performance, TrustTest takes on these responsibilities with a focus on AI-specific needs.Key Features
- Identify vulnerabilities before they reach production.
- Evaluate model from all points of view with a versatile set of probes and evaluators.
- Automatic test generation to evaluate model behavior in a wide range of scenarios.
- Built-in State-of-the-art algorithmic Red Teaming attacks to test model robustness and safety.
- Track, record, and analyze tests, runs, evaluators, and scenarios locally or via integrated platform.
- Test any LLM with a unified interface, whether it’s your own model or a third-party API.
Why use TrustTest?
In today’s rapidly evolving AI landscape, ensuring the safety and reliability of LLM deployments is crucial. TrustTest offers several compelling benefits:- Proactive Security: Catch potential vulnerabilities and safety issues before they impact your production environment.
- Continuous Testing: Automatically generate and evaluate tests to ensure your model remains secure and reliable over time.
- Comprehensive Testing: Access a wide range of pre-built probes and evaluators to test your models across diverse scenarios and edge cases.
- Flexibility: Test any LLM with a unified interface, whether it’s your own model or a third-party API.
- Structured Evaluation: Organize your testing process with a clear framework that separates test cases, evaluations, and scenarios.
- Traceability: Keep track of all your tests, evaluations, and results either locally or through the integrated NeuralTrust platform.