ai-testing

What problem does it solve?

This Skill addresses the critical need for robust, reliable, and secure AI systems by providing automated testing capabilities to identify and mitigate potential issues.

Core Features & Use Cases

• Automated AI Testing: Integrates with the Deepeval Framework to test LLM-based systems.
• Output Quality & Reliability: Evaluates the consistency and accuracy of AI responses.
• Security & Compliance: Prevents injection attacks and ensures adherence to regulatory standards.
• Fact-Checking: Generates structured reports for detailed analysis of test outcomes.
• Use Case: Use this skill to test a customer service chatbot for vulnerabilities like prompt injection and ensure its responses are factually accurate and compliant with company policies before deployment.

Quick Start

Integrate your LLM system with the Deepeval Framework using the provided template to begin automated testing.