What are AI hallucinations?
AI hallucinations occur when an AI model generates outputs that are completely fabricated, also known as "hallucinations." This is a common issue across various AI tools and can lead to inaccurate or misleading information being produced by the AI.
What causes AI hallucinations?
AI hallucinations can be caused by a variety of factors, including incomplete or biased training data, overfitting, or the complexity of the model itself. These issues can lead the AI to generate outputs that are not based on real data or are distorted in some way.
AI hallucination examples
There have been several instances where AI models have produced hallucinations, such as generating fake images, creating nonsensical text, or making inaccurate predictions. These examples highlight the potential risks associated with AI hallucinations and the importance of addressing these issues in AI development.
