Evaluating LLM safety, bias and accuracy [Q&A]  BetaNews​Ian Barker

Large language models (LLMs) are making their way into more and more areas of our lives. But although they’re improving all the time they’re still far from perfect and can produce some unpredictable results. We spoke to CEO of Patronus AI Anand Kannappan to discuss how businesses can adopt LLMs safely and avoid the pitfalls. BN: What challenge are most organizations facing when it comes to LLM ‘misbehavior’? AK: That’s a great question. One of the most significant challenges organizations encounter with large language models (LLMs) is their propensity for generating ‘hallucinations.’ These are situations where the model outputs incorrect… [Continue Reading] BetaNews