This lecture is from the course Generative AI For All in Plain English - Essentials.
In this lecture we define and look at what Generative AI Hallucinations are. We discuss the nuances of AI hallucinations, emphasising that they are not inherently problematic. Hallucinations only become an issue when accurate factual information is required from generative AI systems, a distinction that many people fail to grasp. I highlight that even when using state-of-the-art models like ChatGPT4, which has a low hallucination rate of around 3%, the risk can be further mitigated by verifying the output.
However, I also highlight the importance of considering whether hallucinations are actually detrimental to the specific use case, as many applications of generative AI do not necessitate strict factual accuracy. In some instances, hallucinations can even be advantageous for example, in creative tasks.
