Hallucination Detection

Hallucination detection refers to the process of identifying and flagging inaccurate or fabricated information generated by artificial intelligence (AI) models, particularly large language models. As AI adoption grows, hallucination detection is becoming increasingly important for startups and developers building applications that rely on AI-generated content, ensuring the accuracy and trustworthiness of their outputs and maintaining user trust in AI-driven solutions.