AI models more accurate than Google search, scientists say – CyberNews.com

While AI is still not a reliable source of information due to so-called ‘hallucinations,’ research shows that the accuracy of some models is quite high and results outperform Google searches.

A group of scientists from Google and the University of Massachusetts Amherst have made an interesting experiment with large language models (LLMs). They made the LLMs answer questions that test current world knowledge.

LLMs are known to often ‘hallucinate.’ This means that the AI provides plausible but factually incorrect information, which can lead users astray and thus diminish the reliability of the model’s responses. This is particularly relevant when dealing with up-to-date information and can be caused by outdated data that the AI was trained on.

The aim of the recently published study was to shed light on the factuality of different LLMs and provide a solution for boosting the models’ performance. Scientists tested ChatGPT-3.5, GPT-4, Perplexity AI, and plain Google search for accuracy…

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