SafeGPT offers a comprehensive set of tools, including a testing library (LLM Scan) and a real-time monitoring solution (LLMon), to safeguard the application of LLMs. By automating tests and evaluations, SafeGPT helps identify and mitigate vulnerabilities such as hallucinations, information disclosure, and prompt injections. The real-time monitoring tool provides performance insights and safety optimization for LLMs, featuring alerting and root-cause analysis capabilities. SafeGPT integrates research, human feedback, external data, adversarial testing, and ethical AI detection methods to address critical AI safety risks in applications spanning from regulatory automation to chatbots. The platform is grounded in current AI Safety research and offers the Python testing library as an open-source tool, encouraging customization and extension with user-developed tests.
How SafeGPT can help you:
- Ensures the safety of your LLM applications by generating automated, context-specific tests.
- Provides a dashboard for continuous monitoring of LLM performance, including alerting and root-cause analysis.
- Offers integration with any LLM and evaluation of its quality in real-time.
- Protects against AI safety risks such as hallucinations, privacy leaks, toxicity, and robustness issues.
Why choose SafeGPT:
- Grounded in extensive AI safety research.
- Includes both human feedback mechanisms and external data integration for comprehensive fact-checking.
- Employs adversarial testing and ethical AI detection methods.
- Utilizes metamorphic testing to assess robustness against input variations.
- Open-source Python library for customizable AI testing.
Who should choose SafeGPT:
- Developers and organizations deploying LLMs looking to minimize errors, bias, and privacy risks.
- Teams requiring tools to continuously evaluate and enhance the safety and performance of their LLM applications.
- Enterprises that need a robust Quality Assurance platform for real-time monitoring of LLMs.
