When AI models generate responses, sometimes the outputs stray from the original instructions or context, creating fabricated or irrelevant content. This phenomenon is known as hallucination.Hallucinations can be frustrating, especially when the AI’s reliability matters. Whether you’re building a chatbot, summarising documents, or generating answers, identifying hallucinations is key to improving accuracy and trust in your AI system.
Identifying the hallucinations is essential because it ensures accuracy by minimising errors in AI-generated content. This is especially critical in applications such as customer service, research, and education, where reliable information is paramount. By identifying and addressing hallucinations, AI systems can deliver consistent, grounded responses, fostering user trust and instilling confidence in the system’s capabilities.Click here to learn how to identify hallucination in AI responses