https://thenextweb.com/news/ai-hallucinations-solution-iris-ai
Here is a condensed paragraph summary of the article, generated by Claude (having read the original article, I can attest that it’s a decent summary):
New techniques developed by researchers at Iris.ai show promise for reducing AI hallucinations, the problematic tendency for systems like chatbots to generate false information. Their approach validates the factual accuracy of AI outputs by checking for key facts from reliable sources and comparing responses to verified answers using semantic similarity metrics. Though scaling across large language models remains challenging, tests have slashed hallucinations to single-digit percentages. Solutions aim to address root causes like flawed training data by utilizing clean, synthetic data or coding languages. Knowledge graphs that reveal AI reasoning steps could boost transparency. Further progress may emerge through collaborations to build superior datasets. Mitigating false outputs is critical so users can trust and benefit from AI capabilities. The Iris.ai method marks a step toward explainable AI that curtails the spread of misinformation.