Patronus AI

Patronus AI recently launched Lynx, a SOTA hallucination detection hashtag #LLM built using Databricks Mosaic AI tools, including LLM Foundry, Composer and Mosaic AI Model Training. Read the blog to learn more: https://lnkd.in/gYmRjhkN

Forbes just covered our latest Lynx launch! 🚀 Yesterday, we open sourced Lynx, the leading hallucination detection model. It beats GPT-4o on RAG hallucination detection tasks, and excels in practical domains like medicine and finance. Lynx is especially unique because it not only produces a score, but it can also reason about the score like a human grader. This makes RAG outputs more explainable and interpretable. "CEO Anand Kannappan thinks of [Lynx] as a 'coach' for other AI models that can guide them to be more accurate." Awesome to see this piece by Rashi Shrivastava! Read the story: https://lnkd.in/e6kM7w-D Download Lynx-8B on Hugging Face: https://lnkd.in/eZ672uRH Read the arXiv paper: https://lnkd.in/eznVjrWA Read our blog: https://lnkd.in/eYaP5Zpe

Lynx is a new hallucination detection model for #LLMs that is especially suited for real-world applications in industries like healthcare and fintech. Patronus AI trained Lynx on Databricks Mosaic AI using Composer, our open source PyTorch-based training library. Available for download today!

Introducing Lynx - the leading hallucination detection model 🚀 - Beats GPT-4o on RAG hallucination tasks - Open source, open weights, open data - Excels in practical domains like medicine and finance We are excited to launch Lynx with Day 1 integration partners: NVIDIA, MongoDB, and Nomic AI. The best is yet to come 🌟 Download Lynx on Hugging Face: https://lnkd.in/ezzWscAb Read the arXiv paper: https://lnkd.in/eznVjrWA Read our blog: https://lnkd.in/eYaP5Zpe Use Lynx with NVIDIA's Nemo Guardrails: https://lnkd.in/eXaUzCZ9 Read about our Nomic AI Atlas integration: https://lnkd.in/ebFwccUx

At Patronus AI, it has been wonderful collaborating with DefineX - Consulting, Technology & Labs, a leading technology services firm in Turkey, the Middle East, and Europe 🚀 With our enterprise-ready platform and DefineX's trusted expertise, we are proud to jointly support enterprises as they launch new AI products this year. Here we go!

This year, we are thrilled to be a Silver Sponsor at Datadog's annual DASH conference. Stop by our booth today and tomorrow to see our product in action and learn about our latest innovations in automated LLM evaluation and security! 🎉 #DASH2024

We are thrilled to be a part of Redpoint's 2024 InfraRed 100, celebrating the most impactful and fastest-growing private infrastructure companies! At Patronus AI, we are on a mission to boost enterprise confidence in generative AI. Getting AI products right is hard, and it has never been more important. That's why we continue to innovate on novel automated LLM evaluation approaches for the toughest problems our customers encounter. It's still Day -1. We can't wait for what's next. Read the full report here: https://lnkd.in/dVPBWKhh

The AI Impact Tour is headed to New York on June 5th and the speaker lineup is on fire. Join: ✅ Michael R., Vice President of Network Enablement (AI & Data) at Verizon Communications, Inc. ✅ Rebecca Qian, Co-founder & CTO at Patronus AI ✅ Justin Greenberger, SVP of Client Success of UiPath ✅ Matt Turck, Managing Director of FirstMark ✅ Matt Marshall, CEO & Editor-in-Chief of VentureBeat As they dig into how organizations can audit their AI models for bias, performance, and adherence to ethical standards. You won’t want to miss this. Request an Invite: https://bit.ly/3X31JZI

Today, we are super excited to announce our $17M Series A led by Notable Capital (formerly GGV Capital) with participation from Lightspeed and Datadog. 🚀 At Patronus AI, we are on a mission to boost enterprise confidence in generative AI. The sobering reality is that LLMs can fail. And it’s hard to predict when and where they will fail. Enter Patronus AI. Since we launched in September last year, we’ve moved faster than the speed of light ⚡Today, our product is used by numerous Fortune 500 enterprises and leading AI companies around the world. They have run millions of requests through our platform, and have caught hundreds of thousands of hallucinations and other mistakes in AI outputs, both in offline and online settings. Our AI research in evaluation model training, standardized benchmarks, and alignment techniques have done wonders. As part of the Series A, we’re thrilled that Glenn Solomon will be joining our board. Glenn has supported legendary companies over the years, like Hashicorp, Vercel, Square, Airbnb, Slack, Zendesk, and more. We couldn’t be more excited to be partnering with him and the whole Notable team. The round was also joined by other incredible luminaries like Gokul Rajaram, Jonathan Frankle, Jason Warner, Tristan Handy, Michael Callahan, Barr Moses, Factorial, Aparna Sinha, and Nadim Hossain! And guess what? WE’RE HIRING!!! https://lnkd.in/eTc7QsBu We’re just getting started. It’s still Day -1. The best is yet to come 🚀 Read our story: https://lnkd.in/eSm3kCwm Read our press release: https://lnkd.in/evBeXvet Read our VentureBeat coverage: https://lnkd.in/exSZYUn7 Read our TechCrunch coverage: https://lnkd.in/eQniJnwx

The steady drumbeat of big mistakes by customer support AI agents, for example from big names like Chevy, Air Canada, and even New York City (https://lnkd.in/ggvDisKW), has brought a renewed focus on the need for more reliability. That's why I'm excited to be hosting our next AI Impact Tour (Impact.venturebeat.com) event in New York on June 5 about the “AI Audit.”  We're inviting enterprise decision makers involved in building generative AI apps, who are interested in staying abreast of the latest technologies, benchmarks, and strategies around LLM editing, to attend. We’ll hear from Michael Raj, VP, Verizon for AI and data, about how he’s using meticulous AI audits and employee training to shape a framework for using generative AI responsibly in customer interactions. We’ll also hear from Rebecca Qian, co-founder and CTO of a company called Patronus AI, which is on the leading edge of creating strategies and technologies for AI audits, and which can help pinpoint and patch safety gaps. Qian worked at Meta for more than four years and led AI evaluation work at Meta AI Research (FAIR). Justin Greenberger, SVP of UiPath, will also be there to share insights into how auditing and compliance guidelines are changing as a result of the fast changes in AI, and how to manage these processes across the organization. I’ll be hosting the conversations with my colleague Carl Franzen, executive editor at VentureBeat. Looking forward to the great conversation and networking, too. We’re delighted to have UI Path as a sponsor of the event. Find out more by clicking below. Hope to see you there! https://lnkd.in/gnpFz4Eq