Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
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Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#2Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#3Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#4I can’t help but feel this is mostly hype driven by a company that’s looking to reinvent themselves while facing the prospect of irrelevance. The piece reads like it’s a press release, with abstract things such as “corporate leaders under pressure to get their data ready for AI”. That has nothing to do with LLMs, as the current AI “hype” cycle has been going on for almost a decade already. Corporate leaders have alwa…
Databricks may have its thunder stolen by snowflake. But the true AI boom happening right now, benefits many data product vendors.
The basic requirement for enterprises to use LLMs is having their data in order, which basically requires a cloud data warehouse. It is simply responsible to profit off the hype for a established data company.
Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#5Estimates of Databricks revenue is $400M and “valuation” of $36B, which would never hold today
Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#6I can’t help but feel this is mostly hype driven by a company that’s looking to reinvent themselves while facing the prospect of irrelevance. The piece reads like it’s a press release, with abstract things such as “corporate leaders under pressure to get their data ready for AI”. That has nothing to do with LLMs, as the current AI “hype” cycle has been going on for almost a decade already. Corporate leaders have alwa…
Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#7I can’t help but feel this is mostly hype driven by a company that’s looking to reinvent themselves while facing the prospect of irrelevance. The piece reads like it’s a press release, with abstract things such as “corporate leaders under pressure to get their data ready for AI”. That has nothing to do with LLMs, as the current AI “hype” cycle has been going on for almost a decade already. Corporate leaders have alwa…
Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#8Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#9I think it's a good accretive deal because Databricks already has a good number of enterprise relationships and Mosaics key offering has been training software with their own optimizations that increase gpu efficiency.
Re: Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
#10I can’t help but feel this is mostly hype driven by a company that’s looking to reinvent themselves while facing the prospect of irrelevance. The piece reads like it’s a press release, with abstract things such as “corporate leaders under pressure to get their data ready for AI”. That has nothing to do with LLMs, as the current AI “hype” cycle has been going on for almost a decade already. Corporate leaders have alwa…
> “corporate leaders under pressure to get their data ready for AI”. That has nothing to do with LLMs
I agree that its buzzwordy and a little abstract. But also in my experience, getting "data ready for AI" is actually the primary constraint many orgs have with respect to using LLMs in an enterprise context. Their data is not stored in a way thats easy to tokenize/label/embed for effective training or fine-tuning. And you could argue the preprocessing actually should the easy part for non-ML devs to tackle, as its primarily a software engineering problem. Yet, its still the thing that keeps many folks from getting started (before you even get to attempt to tackle the inference problem).