Crux (YC W24)’s Post

“How is Crux able to produce accurate answers even with tens of joins and a large, undocumented, complex database?” Something we hear from every product and data leader who has tried experimenting with LLM applications. Within 60 days of launching with our partners, thousands of questions have been asked on Crux across domains like pharmaceutical manufacturing, e-commerce advertising, sales intelligence, and supply chain. We have successfully managed to enhance the capability of base LLMs and delivered an accuracy of MORE THAN 98%. How? We’re unveiling the secret sauce. Introducing Industry’s First-Ever Clarification Agent ⚡ 💡 Uncovers the real user intent behind every question 💡 Converts vague asks to defined problem statements 💡 Removes confusion and misinterpretation from the equation Read more about this breakthrough on the link mentioned in the comments. Happy to share our framework with anyone building LLM applications.  #generativeai #analytics #businessintelligence

"Will my data be at risk if I build an LLM application?" This is what we hear in almost EVERY conversation with product & data leaders. These are real, valid concerns. As enterprise leaders, your organization needs to be de-risked from all privacy breakdowns at the LLM-level, infrastructure-level or at the application-level. But this shouldn't come in the way of innovation, right? That's why we're building Crux with a privacy-first foundation in place so that you can focus on discovering real use cases, while we take care of the rest. Find out more about how Crux is tackling privacy concerns head-on: https://lnkd.in/grfPv2pj #LLM #Privacy #GenerativeAI