Databricks, every mention
22 scenes (2024), the whole family · ← back to Databricks
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every year 2024 anyone Shawn Wang 36Matei Zaharia 10Reynold Xin 7Jonathan Frankle 7Ankur Goyal 6Andy Konwinski 4Simon Eskildsen 3Varun Mohan 2Sherwin Wu 2Joubin Mirzadegan 2
Verbatim, from the transcripts: the passages where Databricks comes up
Windsurf: The Enterprise AI IDE
- ▶ 59:54 Varun Mohan It's like, I worked at like LinkedIn and then Quora and then Databricks.
Why Compound AI + Open Source will beat Closed AI — with Lin Qiao, CEO of Fireworks AI
- ▶ 14:08 Shawn Wang Definitely getting a lot of adoption from like Databricks and the Berkeley people and all that.
How NotebookLM Was Made
- ▶ 51:51 Shawn Wang So compound AI people will be like Databricks.
Production AI Engineering starts with Evals
- ▶ 58:52 Ankur Goyal And it's funny because Databricks has a really famous hybrid on-prem model and the CEO and others are sort of have a mixed perspective on it. 5 times in the scene
- ▶ 1:17:30 Ankur Goyal With Databricks, it's the arbitrary code is a first class citizen, which is a very powerful idea, and it's not possible in other database technologies.
- ▶ 1:22:47 unnamed speaker Omar has decided to join Databricks and be an academic, and I have actually asked for like, who's making the DSPy startup?
State of the Art: Training 70B LLMs on 10,000 H100 clusters
- ▶ 0:04 unnamed speaker Today, we have, uh, sort of like a two-header, uh, John Franco from Mosaic Databricks, or Databricks Mosaic, and Josh Albrecht from MBU. 4 times in the scene
- ▶ 2:42 unnamed speaker Is this Databricks' version of the Shutterstock model? 2 times in the scene
- ▶ 4:16 unnamed speaker I will talk a little bit about Databricks because it's relevant to the rest of today's, uh, episode. 2 times in the scene
- ▶ 11:27 Jonathan Frankle Um, like weird stuff happens and figuring out how to not just identify all of that, but then eventually productize it is in some sense, the entire story of mosaic and now Databricks in terms of our ML offering.
- ▶ 21:40 Jonathan Frankle Um, you know, at Databricks and at Mosaic, we typically work with cloud providers.
- ▶ 36:34 Jonathan Frankle And like, you know, we wrote our own data loader, but we've tried to make that as much of a standard as we can across our infrastructure and in Databricks.
- ▶ 1:13:14 Jonathan Frankle Take a different tactic, which is, like, at the end of the day at Databricks, I have
- ▶ 1:28:53 Jonathan Frankle You know, Databricks is, you know, I, I think the joke is Databricks has been 18 months away from IPO for five years, but 3 times in the scene
How AI is Eating Finance - with Mike Conover of Brightwave
- ▶ 0:39 unnamed speaker Not at Databricks anymore.
- ▶ 1:05 unnamed speaker Um, things like Workday, you know, skip like LinkedIn, um, most recently at Databricks where you were leading the, the open source, large language models, um, team working on Dolly.
- ▶ 4:43 unnamed speaker So we left you at Databricks last time.
- ▶ 13:06 unnamed speaker You had released Dolly from Databricks, which was one of the first open source LMs.
- ▶ 28:28 unnamed speaker One thing you did at Databricks was the, um, well, not that you did specifically, but the team there was like the Dolly 3 times in the scene
Building an open AI company - with Ce and Vipul of Together AI
- ▶ 10:35 Alessio Fanelli Uh, I remember we had Mike Conover in the studio who, who had Bill Dolly at Databricks.