AI can also hallucinate!

AI hallucinations occur when an AI model, especially large language models (LLMs), produces outputs that are factually incorrect or nonsensical, even though they appear to be plausible or coherent.

If the AI model is trained on a dataset that is incomplete, biased, or contains inaccuracies, it may learn incorrect patterns and generate false information.

Google’s Bard chatbot incorrectly claimed that the James Webb Space Telescope had captured the world’s first images of a planet outside our solar system.

AI hallucinations can lead to serious consequences, especially in applications where accuracy and reliability are critical, such as medical diagnosis, financial trading, or legal advice.