Controlling Hallucinations in your LLMs?

What's up product hunt! Large Language Models (LLMs) have revolutionized our interactions with AI, enabling more natural and context-aware conversations. We realized unreliable AI systems were holding back mass adoption and were a major reason my co-founders and my previous ventures failed. It got us thinking—if companies can use tools like Stripe to set up payments in minutes, why couldn’t there be an easy solution to detect hallucinations in AI systems without all the complicated setup? So we're building OpenSesame—the simplest way for companies using LLMs to control and reduce hallucinations. But we know we’re not the only ones tackling this challenge. We’d love to hear from you: What strategies have you found effective in minimizing hallucinations in your LLMs? What challenges have you faced, and how have you overcome them? How crucial is it for your AI systems to be reliable and accurate?