Description

In AI, particularly in language models, hallucinations refer to instances where the model generates false, nonsensical, or unrelated information that may seem plausible but has no basis in reality or the given input. These can occur due to limitations in the model's training data, misinterpretation of the input, or the model's attempt to generate coherent responses in situations of uncertainty. Recognizing and mitigating hallucinations is a significant challenge in deploying reliable AI systems.

Examples

• 🦄 Inventing non-existent historical events
• 👽 Creating false scientific facts
• 🗺️ Describing imaginary places as real

Applications