Contextual consistency testing

Contextual consistency testing is a test technique specific to AI applications and then specifically LLMs. It tests whether the AI model can maintain coherence in a conversation. During these tests you check how long the LLM remembers previous questions and answers and you check if it doesn't contradict itself. This is the type of test that detects hallucinations, tests multi-step reasoning and allows for a seamless user experience in generative AI applications.