Barry Dauber
@barrydauber
VP of GenAI GTM @Databricks (formerly @DbrxMosaicAI), DC Native, Texas Longhorn
ID: 84580432
http://www.barrydauber.com 23-10-2009 12:40:14
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Thrilled to offer the AI at Meta Llama 3.1 series of models on Databricks! These models expand context length to 128K, add multilingual capabilities + include Llama 3.1 405B — the largest + highest-quality openly available foundation model. dbricks.co/4dcJpC3
📣 📣 📣 Tim Zonca and I spoke with Barry Dauber , who led Sales at MosaicML that's now part of Databricks . Barry discusses some of the quintessential topics plaguing first-time founders of early-stage startups. open.spotify.com/episode/0CFj8M… #genai #enterprise #startups #data
Had a great time on the Enterprise GTM Podcast. Thanks so much for the great discussion Vidya Raman! open.spotify.com/episode/0CFj8M…
Function calling significantly enhances the utility of LLMs in real-world applications; however, evaluating and improving this capability isn't easy — and no one benchmark tells the whole story. Learn more about our approach in the latest blog from Databricks:
We've been working with TwelveLabs (twelvelabs.io) for more than a year now. These guys took a different strategy than most other AI startups and focused on gen AI and video. That bet is paying off now! Think "RAG but for video"
Super excited about the new 1B and 3B Llama models and multimodal Llama! The cost-performance of open source AI is improving dramatically, and private, device-local AI is becoming practical with these models. Proud that Databricks is a launch partner.
Reflections on NeurIPS: There's always a big theme people seem to be preoccupied with. This year, it was the continuation of scaling/progress. Will it continue? What will the next generation of models hold? I even got to sass Dylan Patel over it. Here are my personal thoughts 🧵
Incredibly proud to work Databricks! Congrats to the team! 🔥🚀
Last year we had a robust debate about open vs closed source models and fate of control of AI. Today, open models like AI at Meta Llama have improved so much that this conversation has been neutralized. Contrary to the below title, it's a HUGE unlock for our customers. Today,
We’re thrilled to partner with AI at Meta to bring Meta Llama 4 on Databricks! Thousands of enterprises use Llama models on the Databricks Data Intelligence Platform to power AI applications, agents and workflows. Llama 4 raises the bar for open foundation models – delivering
Agents, agents, agents. You hear it all the time. But getting generic tools to work on YOUR problem and YOUR data remains elusive. That’s why we at Databricks and Databricks Mosaic Research rethought how to make agents actually work by focusing on specific types of tasks and building a loop
As demand for smarter, more nuanced agents grows, enterprises are shifting their focus to evaluation. Databricks VP of AI Naveen Rao and Chief AI Scientist Jonathan Frankle explain why focusing on behavioral evaluation over model size is important and how innovations like Test-Time