Is it safe to use LLMs in a healthcare setting?

You may be tempted to say no. There’s two obvious reasons why; LLMs hallucinate (which could mean that nonsense or simply incorrect health advice would be generated) and they can be compromised by injection attacks (which would mean that private medical data could be extracted). Is that the end of the story though? Can’t we […]

Counteracting the risk of LLMs

As of now, using LLMs in high-stakes enterprise customer interactions could be considered a risk. Although there are more robust ways of mitigating the hallucination issue emerging, it’s never going to be a 100% solved problem. If LLMs have direct access to private data, without an intermediary platform in between the model and the user, […]

How to navigate the 3 risks of LLMs in CAI

Most companies want to know how to find success with generative AI today. Few have managed to demonstrate it. Loop Car Insurance is one company that’s getting it right. It launched a generative, LLM-based bot with the help of Quiq last year that has reduced email support by 55%. So how did it do it? […]