11–20 of 113 posts
That's a lot of people you have to replace with one model--even if you get the cost basis down. Do those costs include the period refitting?
I 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…
As someone new to the data ops platform world.. what does Databricks even do? They get so much hype as a great employer, but why are they attracting people if their secret sauce is irrelevant?
This $1.3B dollar figure is surely relative to Databricks 2021 valuation from their Series H (most recent round), and doesn’t represent real money since multiples have plunged since then Estimates of Databricks revenue is $400M and “valuation” of $36B, which would never hold today
This $1.3B dollar figure is surely relative to Databricks 2021 valuation from their Series H (most recent round), and doesn’t represent real money since multiples have plunged since then Estimates of Databricks revenue is $400M and “valuation” of $36B, which would never hold today
Where do you get the $400m figure? Just a couple weeks ago Bloomberg ran an article stating their revenue is >$1B
For SMBs, the value would be in using the LLM to generate responses to customer Q&A/search queries. But these companies aren't going to integrate some external third party service, they'll only use it if it's already baked into their CMS - Wordpress/Shopify/Wix/etc. I just don't see who the final consumer for this product would be.
This $1.3B dollar figure is surely relative to Databricks 2021 valuation from their Series H (most recent round), and doesn’t represent real money since multiples have plunged since then Estimates of Databricks revenue is $400M and “valuation” of $36B, which would never hold today
I 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…
I don't know if I'd say this is reinventing themselves, or at least not from the ground up, they've been somewhat active in the open source LLM scene for some time now. Not that releasing dolly alone caused some major foundational shift, but it was a solid contribution. Additionally, acquiring Mosaic fills a pretty gaping hole in their existing product offering. The whole process of pretraining, fine-tuning, and eval…
It may surprise HN to learn, but most companies don't have top-tier technical talent.
Consequently, how do you do {cutting edge thing board and investors are demanding company do} with the people you have/can afford? Use an offering that decreases the necessary skill level by providing powerful prebuilt components.
From this perspective, LLM integration sounds like a perfect fit. It's something every company is being asked to have a plan on, but one few are technically staffed to execute on their own.
This class of startup, "build domain specific LLMS using your own data", is extremely crowded right now but I am not optimistic about their future. For large companies, the actual modeling work for this is already easy for any ML team, thanks to existing FOSS work on stuff like PEFT and LoRA. The hard part is figuring out what data goes into the fine tuning process and how to get this data in a usable form, but this…
Why not? Every larger "cloud" company seems to be randomly buying 1 at the moment to offer "AI" so might get some good deals. This is clearly 1 of them - panic buy.