In the context of Large Language Models (LLMs), “hallucinations” refer to instances where the model generates information or data that was not explicitly present in its training data. It could be thought of as the AI "imagining" things, providing answers or creating content that holds no factual basis or grounding in the learning it has received. These hallucinations pose an intriguing aspect of AI behavior and offer fascinating possibilities, however, they also present numerous security concerns.