MosaicML, every mention

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Verbatim, from the transcripts: the passages where MosaicML comes up

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▶ 4:00 Dan Biderman So started working at mosaic, uh, where I worked on Laura and met a bunch of great people.
▶ 15:04 Dan Biderman Like when I was in Mosaic two, three years ago, like we call this internet scale data, pre-training data.

▶ 59:02 Shawn Wang Uh, Mosaic. 3 times in the scene
▶ 1:06:54 Matei Zaharia We've had like GPU compute for a while and that's where a lot of the mosaic, uh, stack went to, to help scale that.

▶ 1:10:30 Alessio Fanelli To me, in a way, I almost think of companies like Mosaic ML in a way, which is like, hey, we got this amazing team. 3 times in the scene

▶ 59:48 Ari Morcos But Mosaic was the first one to really recognize that there was a huge opportunity in making this easy.

▶ 1:48:35 Alessio Fanelli Well, that mosaic now has been bought for two something billion because it was mostly stock, you know, so price goes up.

▶ 41:00 unnamed speaker Uh, someone linked a paper on that economic budget, the uh, 24 hour bird, and then I was also trying to find the paper, apparently Mosaic ML showed how you can do it for 20 dollars, pre-trained bird from scratch now, so, um,

▶ 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
▶ 10:14 unnamed speaker I mean, in some sense, I'm very excited to have Jonathan on, uh, because this is a little bit, uh, your, your bread and butter, um, with mosaic. 2 times in the scene
▶ 21:40 Jonathan Frankle Um, you know, at Databricks and at Mosaic, we typically work with cloud providers. 3 times in the scene

▶ 26:54 Shawn Wang This is actually consistent with what we've heard from Mosaic, that, um, you know, people think that training is sort of like a one-time deal.
▶ 49:26 Shawn Wang Um, the other big player in fine-tuning is, is Mosaic. 2 times in the scene

▶ 12:52 Suhail Doshi Um, there are a bunch of companies that are like helping you with training, model optimization, um, mosaic at the time, uh, and probably still, you know, was doing stuff like that.
▶ 1:03:32 unnamed speaker Like a mosaic or whatever. 5 times in the scene

▶ 9:27 Dylan Patel Like, companies like Mistral, and like, what Meta are doing, you know, Mosaic, and, and, you know, all these folks together, blah, blah, blah, right?
▶ 33:26 Dylan Patel I think like, you know, I mean, I assume Mosaic or like Meadow will open source, and Mistral will be able to open source models of that quality.
▶ 40:54 Dylan Patel He started Mosaic ML and sold it to Databricks recently, obviously leading LLMs and stuff there, AI there. 2 times in the scene

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