AI hallucinations refer to instances where an artificial intelligence model generates outputs that are false, misleading, or nonsensical, despite appearing plausible. This phenomenon occurs because the AI relies on patterns in the data it was trained on, rather than a true understanding of the subject matter.
For example, an AI might confidently state incorrect facts, create fictional events, or produce inaccurate responses that sound legitimate. Hallucinations can happen in various contexts, such as in text generation, image creation, or even voice synthesis. Addressing these hallucinations is an ongoing challenge in AI research, as they can impact the reliability and trustworthiness of AI systems.
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