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
Databricks Mosaic Research
Software Development
San Francisco, California 26,588 followers
We remove the barriers to state-of-the-art generative AI model development and make data + AI available to all.
About us
At Databricks Mosaic AI, we believe that all organizations should have access to state-of-the art data + AI capabilities. The Mosaic Research team is continually evaluating methods to optimize the model development process - from algorithms to systems to hardware - so you can get more accurate insights, faster. Our rigorous science leads to real results.
- Website
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https://www.databricks.com/research/mosaic
External link for Databricks Mosaic Research
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2021
- Specialties
- machine learning, optimization, deep learning, natural language processing, computer vision, artificial intelligence, ML, AI, CNN, PyTorch, NLP, and CV
Locations
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Primary
Get directions
160 Spear St
15th Floor
San Francisco, California 94105, US
Employees at Databricks Mosaic Research
Updates
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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
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📣 Our VP of Engineering Hagay Lupesko joins Tony Hoang to break down all the new #genAI announcements from Databricks #DataAISummit this week. Give it a listen! 🎧
Join Hagay Lupesko, #VP of Engineering at Databricks / Databricks Mosaic Research, in an exclusive backstage access to discuss Databricks AI Summit 2024 #GenAI announcements. Hagay discusses the latest #generativeAI advancements, emphasizing Databricks' shift towards #serverless #AI services and the importance of leveraging #proprietary #data for #enterprise AI systems. He highlights a new partnership with Shutterstock for a commercially ready text-to-image model and the development of an #agent framework to enhance AI functionality with integrated tools. We touch on the future of AI, focusing on the balance between pre-training and fine-tuning models, and addressing #security concerns in AI development. Podcast link: https://lnkd.in/eyvkBs-s
Databricks AI Summit 2024 GenAI Announcements with Hagay Lupesko, VP of Engineering
https://spotify.com
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Nancy Hung and Irene Dea sharing tips and tricks on how to pre-train or fine-tune a custom #LLM in their #DataAISummit session. It's been a year since we've been a part of Databricks and we're having a blast this week in San Francisco, meeting with and learning from fellow #AI practitioners. Can't wait for the next one!
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The Databricks Compound AI Systems workshop at #DataAISummit is off to a great start! Come for the poster session, stay for talks by Matei Zaharia, Michael Carbin, and other researchers.
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Amazing work by our "Vision Squad" to build this new text-to-image model! Shutterstock Image AI is available now for your image generation needs: https://lnkd.in/dBgRJ7ck
Today at #DataAISummit, we announced Shutterstock ImageAI, Powered by Databricks — a text-to-image Generative AI model optimized for enterprise use. Built using the advanced capabilities of Databricks Mosaic AI and trained exclusively on Shutterstock's proprietary image repository, ImageAI generates customized, high-fidelity images that are commercially viable and tailored to specific business needs. https://dbricks.co/3VCyP1m
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Databricks Mosaic Research reposted this
Yesterday, we had an amazing MosaicX Meetup San Francisco edition to kick off #dataaisummit Here are some teaser highlights from the event! Slides, photos, and videos from the event will come shortly! cc Databricks , Databricks Mosaic Research Thanks to peopletography for the amazing pictures!
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Great kickoff to Databricks #DataAISummit at the MosaicX Meetup with talks from our researchers + partners including You.com, Orby AI, Refuel, ActionIQ, and more!
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Databricks Mosaic Research reposted this
We're kicking off the Data+AI Summit with the MosaicX Meetup: San Francisco Edition on Monday, June 10th. We're at the Moscone Center South, 2nd floor, with more than 1500 registrants and 39 speakers across four tracks. It's a slightly packed agenda with: ✅ Discussion panels on #Hardware, Build & Risks, Data Panel, and #VC Panel with a special session on #OLMo ✅ #Research track on importance of high quality #data, common challenges in #RAG development, #diffusion models, and more ✅ A use cases track on composable #CDP, building models, #multimodal, #agents, and more ✅ In the building LLMs track, we discuss the challenges in building LLMs, tools/techniques to build them, fast LLM inference, and building #GenAI apps. Speakers are from Databricks, Databricks Mosaic Research, Lamini, Oracle, Voltron Data, Replit, AI Squared, Robust Intelligence, Gretel.ai, SuperAnnotate, Essence Venture Capital, Amplify Partners, LlamaIndex, Quotient AI, ActionIQ, Refuel, Orby AI, You.com, Numbers Station AI, LanceDB, and Hugging Face While we are fully packed, if you are already registered for #DataAISummit, we will have a waitlist at the door. https://lnkd.in/gnFJ9xEM
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The Databricks Mountain View office hosted the South Bay Generative AI meetup yesterday, with terrific presentations from Kartik Sreenivasan and Nishant Deshpande, detailing how we built the #DBRX model and discussing developing generative AI applications on your data. Shoutout to Shashank Bharadwaj and Mark Kuczmarski for building such a technically engaged and vibrant group! Check out their podcast episode with Nishant and Kobie Crawford here: https://lnkd.in/g5cHuwWm
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